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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2025.1661094</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Quantitative relationship between unsuitable water intake time at Qingcaosha reservoir and river discharge under different northerly wind speeds</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Xinyi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3120365/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhu</surname>
<given-names>Jianrong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Estuarine and Coastal Research, East China Normal University</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Environment Science and Engineering, Fudan University</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Engineering Technology Research Center of Estuarine Salt Tide Early Warning and Monitoring</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Engineering Technology Research Center of Shanghai Water Environment Simulation and Water Ecological Restoration</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/890270/overview">Toru Miyama</ext-link> , Japan Agency for Marine-Earth Science and Technology, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1234123/overview">Adam Ayouche</ext-link>, Hong Kong University of Science and Technology, Hong Kong SAR, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2569079/overview">Tong Wu</ext-link>, ChangJiang Waterway Survey and Design Institute (Wuhan) Co., Lt, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Rui Ma, <email xlink:href="mailto:ruima@fudan.edu.cn">ruima@fudan.edu.cn</email>; Jianrong Zhu, <email xlink:href="mailto:jrzhu@sklec.ecnu.edu.cn">jrzhu@sklec.ecnu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1661094</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Guo, Ma and Zhu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Guo, Ma and Zhu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Estuarine saltwater intrusion is mainly controlled by river discharge, tide and wind. It is important for utilization of estuarine freshwater to study quantitative relationship between unsuitable water intake time and river discharge. A two-way nested unstructured quadrilateral grid, finite-differencing, three-dimensional estuarine and coastal ocean model (UFDECOM-i) was applied to simulate the saltwater intrusion in the Changjiang Estuary and to get the quantitative relationship between unsuitable water intake time at Qingcaosha Reservoir and river discharge under different northerly wind speeds. The results of numerical experiments show that the salinity at the water intake of Qingcaosha Reservoir is very sensitive to the variation in river discharge. Under 7 day northerly wind of 10 m/s, when the river discharge is 8000 m<sup>3</sup>/s, the entire estuary is occupied by saline water; the net unit width salt flux (NUSF) landward flows in the North Channel, then flows into the South Channel toward sea, forming a horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d; due to the strong landward Ekman transport. When the river discharge is 12000 m<sup>3</sup>/s, the horizontal salt transport route is weakened with the increase of river discharge. Under 7 day northerly wind of 15 m/s, saltwater intrusion increases significantly with the increase of wind speed, and the pattern of NUSF become much stronger. The salinity increases enormously after the action of persistent strong northerly wind. The quantitative relationship between river discharge and the longest continuous unsuitable water intake time of Qingcaosha Reservoir is expressed by formula under climatic wind, 7 day northerly wind of 10 m/s and 15 m/s, respectively, with correlation coefficient R<sup>2</sup> of greater than 0.97, which can provide a basis for reservoir water intake and water supply safety.</p>
</abstract>
<kwd-group>
<kwd>saltwater intrusion</kwd>
<kwd>estuarine reservoir</kwd>
<kwd>river discharge</kwd>
<kwd>continuous unsuitable water intake time</kwd>
<kwd>numerical experiments</kwd>
</kwd-group>
<counts>
<fig-count count="16"/>
<table-count count="1"/>
<equation-count count="8"/>
<ref-count count="40"/>
<page-count count="16"/>
<word-count count="7320"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Physical Oceanography</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The estuarine area is densely populated and economically developed, with a huge demand for freshwater (<xref ref-type="bibr" rid="B32">Small and Nicholls, 2003</xref>; <xref ref-type="bibr" rid="B39">Zhu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Ma et&#xa0;al., 2025</xref>). Freshwater resources in some estuarine areas are from estuaries, but are subject to frequent saltwater intrusions. Saltwater intrusion is a common phenomenon in estuaries which is mainly controlled by tide and river discharge (<xref ref-type="bibr" rid="B24">Prandle, 1985</xref>; <xref ref-type="bibr" rid="B30">Simpson et&#xa0;al., 1990</xref>; <xref ref-type="bibr" rid="B12">Geyer, 1993</xref>), but it can also be affected by wind stress (<xref ref-type="bibr" rid="B5">Chen and Sanford, 2009</xref>; <xref ref-type="bibr" rid="B1">Aristiz&#xe1;bal and Chant, 2015</xref>; <xref ref-type="bibr" rid="B10">Duran-Matute et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B13">Giddings and Maccready, 2017</xref>; <xref ref-type="bibr" rid="B39">Zhu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Ma et&#xa0;al., 2025</xref>) and vertical mixing (<xref ref-type="bibr" rid="B31">Simpson and Hunter, 1974</xref>; <xref ref-type="bibr" rid="B25">Prandle and Lane, 2015</xref>; <xref ref-type="bibr" rid="B3">Ayouche et&#xa0;al., 2020</xref>, <xref ref-type="bibr" rid="B4">2021</xref>; <xref ref-type="bibr" rid="B2">Ayouche et&#xa0;al., 2022</xref>). River discharge inhibits saltwater intrusion in estuaries, and the larger it is, the weaker the saltwater intrusion is. The larger the tide, the farther the saltwater goes upstream with the flood current, the stronger the mixing, resulting in the farther the saltwater intrusion. Wind-driven sea-level setups at the mouth of estuaries can produce landward flows that outcompetes runoff, resulting in the net, landward transport of saltwater (<xref ref-type="bibr" rid="B1">Aristiz&#xe1;bal and Chant, 2015</xref>; <xref ref-type="bibr" rid="B39">Zhu et&#xa0;al., 2020</xref>). For multi-bifurcated estuaries, horizontal circulation is influenced by winds, which alters saltwater transports in each channel (<xref ref-type="bibr" rid="B10">Duran-Matute et&#xa0;al., 2016</xref>). The upwelling and downwelling favorable wind can significantly influence the estuarine exchange flow (<xref ref-type="bibr" rid="B13">Giddings and Maccready, 2017</xref>).</p>
<p>The Changjiang Estuary is characterized by multiple bifurcations (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Saltwater intrusion in the Changjiang Estuary is also mainly determined by river discharge and tides (<xref ref-type="bibr" rid="B29">Shen et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B34">Wu et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B28">Qiu et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B7">Chen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B20">Ma et&#xa0;al., 2025</xref>), but is also influenced by wind (<xref ref-type="bibr" rid="B36">Xue et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B33">Wu and Zhu, 2010</xref>; <xref ref-type="bibr" rid="B18">Li et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B38">Zhang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B16">Li et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B39">Zhu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Ma et&#xa0;al., 2025</xref>). Changjiang River is one of the largest rivers in the world, discharging large amounts of freshwater (9.24&#xd7;10<sup>11</sup> m<sup>3</sup>)(Reviewer 2) into the East China Sea each year (<xref ref-type="bibr" rid="B29">Shen et&#xa0;al., 2003</xref>), with seasonal variations in river discharge ranging from a maximum monthly mean of 49,850 m<sup>3</sup>/s in July to a minimum of 11,180 m<sup>3</sup>/s in January (<xref ref-type="bibr" rid="B40">Zhu et&#xa0;al., 2015</xref>). The tides in the estuary are semidiurnal, semimonthly spring-neap circles. The maximum tidal range reaches 3.38 m and the minimum tidal range is 0.64 m at the Baozhen hydrological station (<xref ref-type="bibr" rid="B40">Zhu et&#xa0;al., 2015</xref>). The maximum tidal current amplitude reaches approximately 2.0 m/s at the river mouth during spring tide. The prevailing monsoon is a northerly wind of 5.5 m/s during winter and a southeasterly wind of 5.0 m/s during summer (<xref ref-type="bibr" rid="B40">Zhu et&#xa0;al., 2015</xref>). <xref ref-type="bibr" rid="B36">Xue et&#xa0;al. (2009)</xref> pointed out that a northerly wind tends to enhance the saltwater intrusion in the North Branch by reducing the seaward surface elevation gradient forcing. <xref ref-type="bibr" rid="B33">Wu and Zhu (2010)</xref> and <xref ref-type="bibr" rid="B18">Li et&#xa0;al. (2012)</xref> simulated the pure wind-driven current that flows into the North Channel and out of the South Channel with northerly wind to explain that it can enhance saltwater intrusion in the North Channel, and weaken it in the South Channel. <xref ref-type="bibr" rid="B38">Zhang et&#xa0;al. (2019)</xref> reported that the frequency of saltwater intrusion events in the Changjiang Estuary is increasing in recent years due to increasing frequency of winter storms passing East China Sea. <xref ref-type="bibr" rid="B39">Zhu et&#xa0;al. (2020)</xref> pointed out that persistent 15day strong northerly wind produced extremely severe saltwater intrusion in February 2014.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Topography of the Changjiang Estuary. The red dots indicate the locations of the reservoir water intakes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g001.tif">
<alt-text content-type="machine-generated">Map depicting the Yangtze River Delta region, showing depth variations from shallow (in red) to deep (in blue). Key locations include Chongming Island, Shanghai, Qingcaosha Reservoir, and the East China Sea. Channels and passages like the North Channel and South Passage are outlined.</alt-text>
</graphic>
</fig>
<p>Shanghai locates in the Changjiang Estuary, has a population of over 25 million people. To meet the growing demand for freshwater, Shanghai built the largest estuarine reservoir in the world, the Qingcaosha Reservoir in 2010 (shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). This reservoir has an effective capacity of 4.35&#xd7;108 m<sup>3</sup> and provides a daily water supply of 7.19&#xd7;10<sup>6</sup> m<sup>3</sup> for the 13 million people in the main districts of Shanghai, accounting for 55% of the total freshwater in the city. However, the Qingcaosha Reservoir is frequently influenced by saltwater intrusions, particularly during the dry season. Limited by reservoir capacity, long-lasting saltwater intrusions are extremely harmful (<xref ref-type="bibr" rid="B7">Chen et&#xa0;al., 2019</xref>).</p>
<p>In order to ensure the water intake safety of Qingcaosha Reservoir, this paper numerically simulates and gives the quantitative relationship between the unsuitable water intake time and river discharge at the water intake of Qingcaosha Reservoir under different wind conditions.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Numerical model</title>
<p>A two-way nested unstructured quadrilateral grid, finite-differencing, three-dimensional estuarine and coastal ocean model (UFDECOM) was developed by <xref ref-type="bibr" rid="B9">Ding et&#xa0;al. (2021)</xref>. Based on the model, <xref ref-type="bibr" rid="B22">Ma et&#xa0;al. (2024)</xref> proposed an implicit, grid-nesting elevation solution with flux balance and a matching nesting boundary flux conservation interpolation to upgrade the model to UFDECOM-i. The model adopts sigma coordinates in the vertical direction and a curvilinear mesh in the horizontal direction. The vertical turbulent viscosity and diffusion coefficients are calculated using the Mellor-Yamada 2.5-level turbulence closure model (<xref ref-type="bibr" rid="B23">Mellor and Yamada, 1982</xref>). In this paper UFDECOM-i was used to simulate the saltwater intrusion in different river discharge and wind. The model domain covers the Bohai Sea, Yellow Sea, Changjiang Estuary and most of the East China Sea. The western boundary was set at Datong station as the river boundary specified with daily averaged river discharge (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The area around the Changjiang Estuary was partially encrypted at a ratio of 1:3 with a resolution of 100 to 400 m (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The resolution was approximately 20 km far away from the estuary. The sea open boundary of the model was driven by ocean elevation composed of tidal elevation and residual elevation, as shown below: (<xref ref-type="disp-formula" rid="eq1">Equation 1</xref>)</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> Numerical model domain and curvilinear grids before local refinement. <bold>(B)</bold> Enlarged views of the nested unstructured quadrilateral grids after local refinement in the Changjiang Estuary.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g002.tif">
<alt-text content-type="machine-generated">Two panels (A and B) display grids of model. Panel A ranges from around 28 to 40 degrees latitude and 116 to 128 degrees longitude, marked with &#x201c;Datong.&#x201d; Panel B zooms into a region from 31 to 32.5 degrees latitude and 121 to 122.5 degrees longitude, highlighting red and black contour lines.</alt-text>
</graphic>
</fig>
<disp-formula id="eq1">
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>&#x3b6;</mml:mi>
<mml:mo>=</mml:mo>
<mml:mover accent="true">
<mml:mi>&#x3b6;</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mo>+</mml:mo>
<mml:mstyle displaystyle="true">
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:mn>17</mml:mn>
</mml:mrow>
</mml:msubsup>
<mml:mrow>
<mml:msub>
<mml:mi>a</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mi>c</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>s</mml:mi>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:msub>
<mml:mi>g</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <inline-formula>
<mml:math display="inline" id="im1">
<mml:mi>&#x3b6;</mml:mi>
</mml:math>
</inline-formula> is the total ocean elevation and <inline-formula>
<mml:math display="inline" id="im2">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b6;</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> is the residual elevation reflecting the continental shelf current. The tidal elevation consisted of 17 tidal components, including M2, S2, N2, K2, K1, O1, P1, Q1, MU2, NU2, T2, L2, 2N2. <italic>&#x3c9;i</italic> is the tidal frequency, and <italic>ai</italic> and <italic>gi</italic> are harmonic constants representing the amplitude and phase of each tidal component, respectively, taken from FES2022 (<ext-link ext-link-type="uri" xlink:href="https://www.aviso.altimetry.fr/en/index.php?id=1279">https://www.aviso.altimetry.fr/en/index.php?id=1279</ext-link>). The residual elevation was adopted from the monthly mean data of HYCOM (<ext-link ext-link-type="uri" xlink:href="https://data.hycom.org/datasets">https://data.hycom.org/datasets</ext-link>). Our model was driven by ocean circulation, tides, river discharge and meteorological factors to simulate elevation, current and salinity. The initial salinity field was taken from the Ocean Atlas in the Huanghai Sea and East China Sea (Hydrology) (<xref ref-type="bibr" rid="B11">Editorial Board for Marine Atlas, 1992</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Model validation and numerical experiment setup</title>
<p>The numerical model has been validated for the elevation, current and salinity (<xref ref-type="bibr" rid="B9">Ding et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B22">Ma et&#xa0;al., 2024</xref>, <xref ref-type="bibr" rid="B20">2025</xref>). The model validation showed that the model could correctly simulate the hydrodynamics and saltwater intrusion processes. For saving the space of this paper, it can be referred to the above literatures for mode validation.</p>
<p>The variation of salinity at the water intake of Qingcaosha Reservoir is closely related to river discharge and wind conditions. Water intake is not allowed when the salinity at the intake exceeds 0.45. Starting from the time when water intake is not allowed, a continuous unsuitable water intake time is counted if the salinity remains above 0.45 for six hours. The longest continuous unsuitable water intake time is defined as the maximum duration. In order to reveal the quantitative relationship between the longest continuous unsuitable water intake time and river discharge, three groups of numerical experiments were designed under different wind conditions (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The simulation time of each experiment is from August 1 to October 31, a total of 92 days. The model is run from August for mode adjustment, and the model data from September to October 15 are output for analysis. Experimental group 1: simulate relationship between the longest continuous unsuitable water intake time and river discharge under climatic wind conditions, which was averaged the recent 20 years wind field at 10m above sea surface from the European Center for Medium-Range Weather Forecast (ECMWF) reanalysis datasets with a spatial resolution of 0.125&#xb0; &#xd7; 0.125&#xb0; and a temporal resolution of 6 h. Experimental group 2 and experimental group 3: simulate the relationship between the longest unsuitable water intake time and river discharge under 7 day northerly wind of 10 m/s and 15 m/s during middle tide after spring tide and neap tide, respectively. <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> shows the temporal variation in elevation at Baozhen hydrologic station, in which the shaded zone is the 7 day period of strong northerly wind action from middle tide after spring tide to neap tide.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Setup of numerical experiments of river discharges under different wind conditions and the simulated corresponding the longest continuous unsuitable water intake time.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Experimental group</th>
<th valign="middle" align="center">River discharge (m<sup>3</sup>/s)</th>
<th valign="middle" align="center">The longest continuous unsuitable water intake time (day)</th>
<th valign="middle" align="center">Wind condition</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="9" align="center">Group 1</td>
<td valign="middle" align="center">7000</td>
<td valign="middle" align="center">43.99</td>
<td valign="middle" rowspan="9" align="center">climatic wind</td>
</tr>
<tr>
<td valign="middle" align="center">7200</td>
<td valign="middle" align="center">43.99</td>
</tr>
<tr>
<td valign="middle" align="center">7500</td>
<td valign="middle" align="center">40.15</td>
</tr>
<tr>
<td valign="middle" align="center">7800</td>
<td valign="middle" align="center">40.09</td>
</tr>
<tr>
<td valign="middle" align="center">8000</td>
<td valign="middle" align="center">39.09</td>
</tr>
<tr>
<td valign="middle" align="center">9000</td>
<td valign="middle" align="center">11.14</td>
</tr>
<tr>
<td valign="middle" align="center">10000</td>
<td valign="middle" align="center">5.29</td>
</tr>
<tr>
<td valign="middle" align="center">11000</td>
<td valign="middle" align="center">2.21</td>
</tr>
<tr>
<td valign="middle" align="center">12000</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" rowspan="7" align="center">Group 2</td>
<td valign="middle" align="center">7000</td>
<td valign="middle" align="center">43.99</td>
<td valign="middle" rowspan="7" align="left">7 day northerly wind 10 m/s during middle tide after spring tide to neap tide</td>
</tr>
<tr>
<td valign="middle" align="center">8000</td>
<td valign="middle" align="center">39.62</td>
</tr>
<tr>
<td valign="middle" align="center">10000</td>
<td valign="middle" align="center">19.24</td>
</tr>
<tr>
<td valign="middle" align="center">12000</td>
<td valign="middle" align="center">14.13</td>
</tr>
<tr>
<td valign="middle" align="center">15000</td>
<td valign="middle" align="center">5.74</td>
</tr>
<tr>
<td valign="middle" align="center">18000</td>
<td valign="middle" align="center">0.15</td>
</tr>
<tr>
<td valign="middle" align="center">20000</td>
<td valign="middle" align="center">0.04</td>
</tr>
<tr>
<td valign="middle" rowspan="9" align="center">Group 3</td>
<td valign="middle" align="center">7000</td>
<td valign="middle" align="center">43.99</td>
<td valign="middle" rowspan="9" align="left">7 day northerly wind 15 m/s during middle tide after spring tide to neap tide</td>
</tr>
<tr>
<td valign="middle" align="center">8000</td>
<td valign="middle" align="center">38.80</td>
</tr>
<tr>
<td valign="middle" align="center">10000</td>
<td valign="middle" align="center">23.58</td>
</tr>
<tr>
<td valign="middle" align="center">12000</td>
<td valign="middle" align="center">16.09</td>
</tr>
<tr>
<td valign="middle" align="center">15000</td>
<td valign="middle" align="center">12.86</td>
</tr>
<tr>
<td valign="middle" align="center">18000</td>
<td valign="middle" align="center">8.76</td>
</tr>
<tr>
<td valign="middle" align="center">20000</td>
<td valign="middle" align="center">7.01</td>
</tr>
<tr>
<td valign="middle" align="center">25000</td>
<td valign="middle" align="center">1.39</td>
</tr>
<tr>
<td valign="middle" align="center">30000</td>
<td valign="middle" align="center">0.26</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The longest continuous unsuitable water intake time has an error of approximately 1.01 days.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Temporal variation in elevation at Baozhen hydrologic station. The gray shadowed region is the 7 day period of strong northerly wind action from 18 to 24 September during middle tide after spring tide to neap tide; the green dashed line is time of flood slack during spring and neap tides; the red and green shadowed region is tidally-averaged period during spring tide and neap tide, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g003.tif">
<alt-text content-type="machine-generated">Graph of elevation in meters over time from September 1st to October 31st. The graph shows sinusoidal patterns with peaks around 4 meters and troughs near -2 meters. Highlighted bars in red, green, and grey indicate specific time periods: September 16th, September 26th, and a span between these dates, representing notable events or changes.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Saltwater intrusion under climatic wind conditions (experimental group 1)</title>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Horizontal salinity distribution</title>
<p>We designed 8 numerical experiments of river discharge from 7000 to 13000 m<sup>3</sup>/s in Experimental group 1 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The distribution of salinity in surface and bottom layer at flood slack during spring tide and neap tide when river discharge is 8000 m<sup>3</sup>/s were showed in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. The North Branch is occupied by high saline water due to its funnel shape and low river discharge into it (<xref ref-type="bibr" rid="B33">Wu and Zhu, 2010</xref>; <xref ref-type="bibr" rid="B18">Li et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B14">Gu et&#xa0;al., 2021</xref>). At flood slack during spring tide, there is freshwater (salinity is lower than 0.45, the salinity standard of drink water) in the upper reaches and south side on the middle reaches of the South Branch, and vertical salinity is almost uniformly mixed. But there is saltwater on the north side at upper reaches of the South Branch, that is the most characteristic type of saltwater intrusion in the estuary, the saltwater spillover from the North Branch into the South Branch (<xref ref-type="bibr" rid="B29">Shen et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B34">Wu et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B19">Lyu and Zhu, 2018</xref>). The shallow and funnel-shaped topography helps to prevent runoff from entering the North Branch, especially in the case of low river discharge, and produces a greater tidal range in the North Branch than in the South Branch. The saltwater from the North Branch is transported downstream by runoff and arrives in the middle reaches of the South Branch during the subsequent neap tide, threatening the water supplies of reservoirs located in the estuary. Salinity is higher than 2.0 in the North Channel and South Channel due to low river discharge, and salinity in the bottom layer is slightly higher than that in the surface layer due to strong vertical mixing during spring tide (<xref ref-type="bibr" rid="B17">Li et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B20">Ma et&#xa0;al., 2025</xref>). There exist strong salinity fronts in the North Channel, North Passage and South Passage where freshwater from upstream river and higher saline water from open sea meet and mix. The salinity at water intake of Qingcaosha Reservoir is slightly higher than 2.0 in the surface and bottom layer. At flood slack during neap tide, the isohalines of 0.45, 2, 5 move seaward, meaning that the saltwater intrusion is weaker in neap tide than in spring tide. The salinity at water intake of Qingcaosha Reservoir is slightly higher than 0.45 in the surface layer, indicating that there is no freshwater. On the whole, the saltwater intrusion in the South Channel is stronger than in the North Channel because the net water radio in the North Channel is higher than in the South Channel (<xref ref-type="bibr" rid="B35">Wu et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B37">Yang et&#xa0;al., 2023</xref>), and there is no freshwater available for Qingcaosha Reservoir when the river discharge is as low as 8000 m<sup>3</sup>/s.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Distribution of salinity in surface layer (upper panel) and bottom layer (lower panel) at flood slack during spring tide <bold>(A, C)</bold> and neap tide <bold>(B, D)</bold> when river discharge is 8000 m<sup>3</sup>/s. The green line represents the 0.45 isohaline, the yellow line represents the 2 isohaline.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g004.tif">
<alt-text content-type="machine-generated">Four-panel map showing salinity levels, measured in practical salinity units (psu), in a geographic area. Panels A, B, C, and D range in longitude from 121.0&#xb0;E to 122.5&#xb0;E and latitude from 31.0&#xb0;N to 32.0&#xb0;N. Salinity levels are represented by contour lines with color gradations from light to dark blue, indicating increasing salinity. Each panel displays variations, with labels for specific isopleths like 20, 25, 30. A gradient bar above indicates salinity from 0 to 35 psu.</alt-text>
</graphic>
</fig>
<p>When river discharge is 12000 m<sup>3</sup>/s, saltwater intrusion is significantly reduced due to the increase of river discharge (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). At flood slack during spring tide, there is freshwater in the upper and middle reaches of the South Branch, and salinity at the water intake of Qingcaosha Reservoir is slightly higher than 0.45. At flood slack during neap tide, there is freshwater in the entire South Branch and in the upper reaches of the North and South Channels. When the river discharge is 12000 m<sup>3</sup>/s, freshwater is available for Qingcaosha Reservoir during spring and neap tide.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Distribution of salinity in surface layer (upper panel) and bottom layer (lower panel) at flood slack during spring tide <bold>(A, C)</bold> and neap tide <bold>(B, D)</bold> when river discharge is 12000 m<sup>3</sup>/s. The green line represents the 0.45 isohaline, the yellow line represents the 2 isohaline.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g005.tif">
<alt-text content-type="machine-generated">Four-panel salinity maps (A, B, C, D) of a coastal region. Each panel shows longitude and latitude coordinates with varying salinity levels indicated by color gradients from light blue to dark blue. Contour lines and labels display specific salinity values in practical salinity units (psu). The panels demonstrate changes in salinity distribution over time.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Net unit width salt flux distribution</title>
<p>The depth is shallow and has a larger tidal range in the Changjiang Estuary, the net (residual) current cannot properly reflect the net water and salt transport. Therefore, the net unit width salt flux (NUSF) was used to preferably reflect the salt transport, which is defined as: (<xref ref-type="disp-formula" rid="eq2">Equation 2</xref>)</p>
<disp-formula id="eq2">
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>NUSF</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mi>T</mml:mi>
</mml:mfrac>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x222b;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mi>T</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:msubsup>
<mml:mo>&#x222b;</mml:mo>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>h</mml:mi>
</mml:mrow>
<mml:mi>&#x3b6;</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>V</mml:mi>
<mml:mo>&#x2192;</mml:mo>
</mml:mover>
<mml:mo>&#xb7;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mo>&#xb7;</mml:mo>
<mml:mi>d</mml:mi>
<mml:mi>z</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where <inline-formula>
<mml:math display="inline" id="im3">
<mml:mover accent="true">
<mml:mi>V</mml:mi>
<mml:mo>&#x2192;</mml:mo>
</mml:mover>
</mml:math>
</inline-formula> is the instantaneous horizontal velocity vector; s is the salinity; <inline-formula>
<mml:math display="inline" id="im4">
<mml:mi>&#x3b6;</mml:mi>
</mml:math>
</inline-formula> is the surface water level; h is the still water depth; <italic>T</italic> is one or more complete tidal cycles. In this study, three semidiurnal tidal cycles were used as an averaging time window to remove the semidiurnal and diurnal tidal signals. This method has been used in many studies in estuaries and shallow bays (<xref ref-type="bibr" rid="B8">Cheng et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B15">Huang et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B19">Lyu and Zhu, 2018</xref>; <xref ref-type="bibr" rid="B21">Ma and Zhu, 2022</xref>).</p>
<p>When river discharge is 8000 m<sup>3</sup>/s, the NUSF flows into the South Branch from the North Branch, the maximum value in the North Branch reaches 20 kg/(m&#xb7;s) during spring tide (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). The NUSF decreases to 2.5 kg/(m&#xb7;s), and flows downstream in the South Branch. The NUSF landward flows in the South Passage, and further landward flows into the South Channel on the north side, then turns direction and seaward flows on the south side of the South Channel. In the North Channel, the NUSF seaward flows with larger value on the south side of the lower reaches, which is larger than that on the north side due to the Coriolis force action. The value on the downstream south side reaches 12kg/(m&#xb7;s). In the Hengsha Channel, the NUSF flows northward into the North Channel from the North Passage. The salt transport in the Hengsha Channel is consistent with the result of <xref ref-type="bibr" rid="B21">Ma and Zhu (2022)</xref>. During neap tide (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>), the pattern of NUSF is similar with the one in spring tide, but the NUSF from the North Branch into the South Branch is smaller, the maximum value in the North Branch reaches 15 kg/(m&#xb7;s). The value of NUSF is smaller in the North Channel and Hengsha Channel, the maximum value reaches 5 kg/(m&#xb7;s). But become larger in the South Passage compared that in spring tide, the maximum value reaches 25 kg/(m&#xb7;s).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Distribution of NUSF in spring tide (upper panel) and neap tide (lower panel) when river discharge is 8000 m<sup>3</sup>/s <bold>(A, C)</bold> and 12000 m<sup>3</sup>/s <bold>(B, D)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g006.tif">
<alt-text content-type="machine-generated">A four-panel map shows the salinity transport in a coastal area, labeled A, B, C, and D. Arrows indicate direction and strength, with color coding representing values: black (0.5 kg/m&#xb7;s), blue (2.5 kg/m&#xb7;s), and red (25 kg/m&#xb7;s). The latitude range is from 31.0 to 32.0&#xb0;N, and the longitude range is from 121.0 to 122.0&#xb0;E. The maps are similar but show slight variations in current patterns.</alt-text>
</graphic>
</fig>
<p>When river discharge is 12000 m<sup>3</sup>/s, the pattern of NUSF is similar with that in the case of 8000 m<sup>3</sup>/s, but the values become smaller (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B, D</bold>
</xref>).</p>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>Temporal variation in surface salinity at the water intake of Qingcaosha Reservoir</title>
<p>
<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref> shows temporal variations in surface salinity at water intake of Qingcaosha Reservoir under river discharge of 8000, 10000 and 12000 m<sup>3</sup>/s. The salinity varies periodically with time, exhibiting distinct semi-diurnal and bimonthly tidal fluctuations. Additionally, the salinity significantly increases during the middle tide after spring tide (tidal level variation shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). When river discharge is 8000 m<sup>3</sup>/s, the maximum salinity at the water intake is 0.90 in September, and 1.18 in October. Almost the time, the reservoir is not suitable to take water. When river discharge is 10000 m<sup>3</sup>/s, the maximum salinity at the water intake is 0.58 in September, and 0.83 in October. In most the time, the reservoir can take freshwater. When river discharge is 12000 m<sup>3</sup>/s, the maximum salinity at the water intake is 0.27 in September, and 0.43 in October. The reservoir can take freshwater in all the time.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Temporal variations in surface salinity at the water intake of Qingcaosha Reservoir. Red:river discharge 8000 m<sup>3</sup>/s;black:river discharge 10000 m<sup>3</sup>/s;blue:river discharge 12000 m<sup>3</sup>/s. Green dashed line: salinity 0.45, the salinity standard of drink water.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g007.tif">
<alt-text content-type="machine-generated">Line graph showing salinity levels in practical salinity units (psu) over time from September 1 to October 16. Three fluctuating lines represent different measures: red peaks around 1.2 psu, black stays around 0.6 psu, and blue averages below 0.4 psu with less variation.</alt-text>
</graphic>
</fig>
<p>It shows that the salinity at the reservoir intake is very sensitive to the variation in river discharge. With the increase of river discharge, the salinity decreases dramatically, and the available water intake time increases significantly.</p>
</sec>
<sec id="s3_1_4">
<label>3.1.4</label>
<title>Quantitative relationship between the longest continuous unsuitable water intake time and river discharge</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref> show the longest continuous unsuitable water intake time in different river discharges under climatic wind. When river discharge is 7000, 7200, 7500, 7800, 8000, 9000, 10000, 11000 and 12000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99, 43.99, 40.15, 40.09, 39.09, 11.14, 5.29, 2.21 and 0.00 day (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), respectively. The result shows that the smaller the river discharge is, the longer the longest continuous unsuitable water intake time is.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Relationship between the longest continuous unsuitable water intake time and river discharge. Red dot: simulated result; black line: fitting relationship. Green dashed line: the longest continuous unsuitable water intake time of 43.99 day that Qingcaosha Reservoir can reach.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g008.tif">
<alt-text content-type="machine-generated">Graph plotting river discharge against time in days. The x-axis represents river discharge in cubic meters per second ranging from six thousand to twelve thousand, and the y-axis represents days from zero to fifty. The graph shows a curve starting high at day forty-five and decreasing steadily, marked with red dots at key intervals. A dashed line at day forty-five indicates a reference point.</alt-text>
</graphic>
</fig>
<p>When the river discharge is reduced to 7200 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99 days, and water cannot be taken in the whole simulation period. It should be noted that when the river discharge is further reduced to 7000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is still 43.99 days. This indicates that when the river discharge is 7200 m&#xb3;/s, the salinity at the reservoir intake becomes too high due to low river discharge, making water intake impossible. Therefore, when the river discharge falls below 7200 m<sup>3</sup>/s, the longest continuous unsuitable water intake time will not increase. When the river discharge is between 7200 and 8000 m<sup>3</sup>/s, the river discharge remains relatively low, and its impact on the salinity at the intake is minimal, resulting in little change in the continuous unsuitable water intake time. However, when the river discharge is increased to 8000 m<sup>3</sup>/s, the influence of river discharge on the salinity of water intake increases, leading to a significant change in the continuous unsuitable water intake time. When the river discharge is increased to 12000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 0.00 days. It can be inferred that when the river discharge is greater than 12000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 0 days. Fitting the data in <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>, we can get the quantitative relationship between river discharge (RD, unit m<sup>3</sup>/s) and the longest continuous unsuitable water intake time of Qingcaosha Reservoir is: (<xref ref-type="disp-formula" rid="eq3">Equation 3</xref>)</p>
<disp-formula id="eq3">
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mi>y</mml:mi>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mn>43.99</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&lt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7200</mml:mn>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mi>a</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>13</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>4</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>b</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>8</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>3</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>c</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>d</mml:mi>
<mml:mi>x</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7200</mml:mn>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&lt;</mml:mo>
<mml:mn>8000</mml:mn>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mi>f</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>8</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>3</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>g</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>h</mml:mi>
<mml:mi>x</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>i</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>8000</mml:mn>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2264;</mml:mo>
<mml:mn>12000</mml:mn>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mn>0</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
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<mml:mo>&#xa0;</mml:mo>
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<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&gt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>12000</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where <italic>y</italic> is the longest continuous unsuitable water intake time, <italic>x</italic> is river discharge. The correlation coefficient R<sup>2</sup> is 0.99, meaning that the fitting result is good.</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Saltwater intrusion under northerly wind of 10 m/s (Experimental group 2)</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Horizontal salinity distribution</title>
<p>The 7 day period of strong northerly wind is forced from middle tide after spring tide to neap tide (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), so we only show the distribution of salinity in surface layer and bottom layer at flood slack during neap tide (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). When the river discharge is 8000 m<sup>3</sup>/s, the saltwater intrusion is very severe. The entire estuary is occupied by saline water, no freshwater exists due to low river discharge and persistent strong northerly wind. The salinity is more than 2 in surface layer and greater than 5 at the water intake of Qingcaosha Reservoir. When the river discharge is 12000 m<sup>3</sup>/s, the saltwater intrusion weakens, there is freshwater on the south side of the South Branch, but there is still no freshwater at the water intake of Qingcaisha Reservoir.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Distribution of salinity in surface layer (upper panel) and bottom layer (lower panel) at flood slack during neap tide when river discharge is 8000 m<sup>3</sup>/s <bold>(A, C)</bold> and 12000 m<sup>3</sup>/s <bold>(B, D)</bold>. The green line represents the 0.45 isohaline, the yellow line represents the 2 isohaline.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g009.tif">
<alt-text content-type="machine-generated">Four-panel salinity maps labeled A, B, C, and D, showing variations in salinity levels measured in practical salinity units (psu) across a region with coordinates ranging from 121 to 122.5 degrees east and 31 to 32 degrees north. The color gradient from light to dark blue indicates increasing salinity from 0 to 35 psu. Contour lines are marked with salinity values, revealing different salinity distributions in each panel.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>NUSF distribution</title>
<p>During neap tide, when river discharge is 8000 m<sup>3</sup>/s, the NUSF flows into the South Branch from the North Branch, the maximum value in the North Branch reaches 20 kg/(m&#xb7;s) during neap tide (<xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10A</bold>
</xref>). The NUSF landward flows in the North Channel, then turns direction and flows into the South Channel toward sea, forming a horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d;. This salt transport route is opposite to that under climatic wind conditions. The NUSF southward flows along the Subei coast and pass the area east side of Chongming Island under strong northerly wind, then flows into the North Channel under the Ekman transport. The strong landward Ekman transport resists the seaward runoff forming the horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d;, which is consistent with the results of <xref ref-type="bibr" rid="B18">Li et&#xa0;al. (2012)</xref>, <xref ref-type="bibr" rid="B39">Zhu et&#xa0;al. (2020)</xref>; <xref ref-type="bibr" rid="B20">Ma et&#xa0;al. (2025)</xref>. In the South Passage, the NUSF flows landward due to its funnel shape and strong salinity front that induces landward boroclinic pressure gradient force. In the Hengsha Channel, the NUSF flows southward into the North Passage from the North Channel under force of strong northerly wind.</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Distribution of unit width salt flux during neap tide when river discharge is 8000 m<sup>3</sup>/s <bold>(A)</bold> and 12000 m<sup>3</sup>/s <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g010.tif">
<alt-text content-type="machine-generated">Two vector maps show salinity transport in a geographic region defined by latitude and longitude. Arrows represent intensity and direction, with colors coded by strength: green for 2.5 kg/(m&#xb7;s), red for 4 kg/(m&#xb7;s), and blue for 25 kg/(m&#xb7;s). Both maps use a gray background to depict land areas, with salinity transport concentrated between latitudes 31.0&#xb0;N and 32.0&#xb0;N, and longitudes 121.2&#xb0;E and 122.0&#xb0;E. The maps are labeled (A) and (B).</alt-text>
</graphic>
</fig>
<p>When river discharge is 12000 m<sup>3</sup>/s, the NUSF from the North Branch into the South Branch is weakened, resulting in the decrease of the seaward salt transport in the South Branch compared with the result of river discharge of 8000 m<sup>3</sup>/s (<xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10B</bold>
</xref>). The horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d; is weakened with the increase of river discharge.</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Temporal variation in surface salinity at water intake of Qingcaosha Reservior</title>
<p>
<xref ref-type="fig" rid="f11">
<bold>Figure&#xa0;11</bold>
</xref> shows temporal variations in surface salinity at water intake of Qingcaosha Reservoir under river discharge of 8000, 10000 and 12000 m<sup>3</sup>/s. The salinity increases significantly after the action of persistent strong northerly wind. When river discharge is 8000 m<sup>3</sup>/s, the maximum salinity at the water intake is 7.83. In all the time, the reservoir is not suitable to take water. When river discharge is 10000 m<sup>3</sup>/s, the maximum salinity at the water intake is 5.71. The reservoir can take freshwater till 10 October. When river discharge is 12000 m<sup>3</sup>/s, the maximum salinity at the water intake is 4.15, and salinity fluctuates around 1 till 15 October.</p>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>Temporal variations in surface salinity at the water intake of Qingcaosha Reservoir. Red:river discharge 8000 m<sup>3</sup>/s;black:river discharge 10000 m<sup>3</sup>/s;blue:river discharge 12000 m<sup>3</sup>/s. Green dashed line: salinity 0.45, the salinity standard of drink water.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g011.tif">
<alt-text content-type="machine-generated">The graph shows the variation in salinity from September 1 to October 16, measured in practical salinity units (psu). Multiple colored lines represent salinity measurements under different conditions, with noticeable peaks between September 26 and October 1.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>Quantitative relationship between the longest continuous unsuitable water intake time and river discharge</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="fig" rid="f12">
<bold>Figure&#xa0;12</bold>
</xref> show the longest continuous unsuitable water intake time in different river discharges under persistent northerly wind of 10 m/s. When river discharge is 7000, 8000, 10000, 12000, 15000, 18000 and 20000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99, 39.62, 19.24, 14.13, 5.74, 0.15 and 0.04 day, respectively.</p>
<fig id="f12" position="float">
<label>Figure&#xa0;12</label>
<caption>
<p>Relationship between the longest continuous unsuitable water intake time and river discharge. Red dot: simulated result; black line: fitting relationship. Green dashed line: the longest continuous unsuitable water intake time of 43.99 day that Qingcaosha Reservoir can reach.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g012.tif">
<alt-text content-type="machine-generated">Graph depicting the relationship between river discharge (cubic meters per second) and days. The curve decreases as river discharge increases from 6000 to 20000 cubic meters per second, a horizontal dashed line is present at approximately day 45.</alt-text>
</graphic>
</fig>
<p>When the river discharge is reduced to 7000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99 days. When the river discharge is increased to 20000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 0.04 days. It can be inferred that when the river discharge is greater than 20000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 0 days. Fitting the data in <xref ref-type="fig" rid="f12">
<bold>Figure&#xa0;12</bold>
</xref>, we can get the quantitative relationship between river discharge (RD, unit m<sup>3</sup>/s) and the longest continuous unsuitable water intake time of Qingcaosha Reservoir is: (<xref ref-type="disp-formula" rid="eq4">Equation 4</xref>)</p>
<disp-formula id="eq4">
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mi>y</mml:mi>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mrow>
<mml:mtable>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mn>43.99</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&lt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>4</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>b</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>10</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>3</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>c</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>6</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>d</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mi>x</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7000</mml:mn>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2264;</mml:mo>
<mml:mn>20000</mml:mn>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mn>0</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&gt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>20000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The correlation coefficient R<sup>2</sup> is 0.99.</p>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Saltwater intrusion under northerly wind of 15 m/s (experimental group 3)</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Horizontal salinity distribution</title>
<p>
<xref ref-type="fig" rid="f13">
<bold>Figure&#xa0;13</bold>
</xref> shows the distribution of salinity in surface layer and bottom layer at flood slack during neap tide when river discharge is 8000 m<sup>3</sup>/s and 12000 m<sup>3</sup>/s. With the increase of wind speed to 15 m/s, saltwater intrusion increases significantly, and the isohaline moves significantly upstream compared under northerly wind 10 m/s. When the river discharge is 8000 m<sup>3</sup>/s, the salinity in most areas of the South Branch is greater than 2. The bottom salinity is distinctly higher than the surface salinity at the bifurcation between the North Channel and South Channel. The salinity is greater than 10 in surface layer and greater than 15 at the water intake of Qingcaosha Reservoir. When the river discharge is 12000 m<sup>3</sup>/s, the isohaline 2 moves seaward, indicating that the saltwater intrusion weakens, there is no freshwater in all most area of the estuary.</p>
<fig id="f13" position="float">
<label>Figure&#xa0;13</label>
<caption>
<p>Distribution of salinity in surface layer (upper panel) and bottom layer (lower panel) at flood slack during neap tide when river discharge is 8000 m<sup>3</sup>/s <bold>(A, C)</bold> and 12000 m<sup>3</sup>/s <bold>(B, D)</bold>. The green line represents the 0.45 isohaline, the yellow line represents the 2 isohaline.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g013.tif">
<alt-text content-type="machine-generated">Four contour maps labeled A, B, C, and D display salinity levels in parts per thousand along a coastal region with latitude and longitude coordinates. Shades of blue indicate varying salinity, with darker colors representing higher salinity levels, ranging from zero to thirty-five. Contour lines are marked at specific intervals such as fifteen, twenty, and thirty.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>NUSF distribution</title>
<p>During neap tide, when river discharge is 8000 m<sup>3</sup>/s, the pattern of NUSF under persistent northerly wind of 15 m/s is similar with the one under persistent northerly wind of 10 m/s, but become much stronger (<xref ref-type="fig" rid="f14">
<bold>Figure&#xa0;14A</bold>
</xref>). The horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d; is more distinct. In the South Passage, the NUSF flows seaward under force of strong seaward NUSF in the South Channel. In the Hengsha Channel, a large amount of salt is transported into the North Passage from the North Channel under force of strong northerly wind.</p>
<fig id="f14" position="float">
<label>Figure&#xa0;14</label>
<caption>
<p>Distribution of unit width salt flux in neap tide when river discharge is 8000 m<sup>3</sup>/s <bold>(A)</bold> and 12000 m<sup>3</sup>/s <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g014.tif">
<alt-text content-type="machine-generated">Comparison of two vector flow maps showing movement between latitudes 31.0 and 32.0 degrees North and longitudes 121.2 and 122.0 degrees East. Both panels, labeled A and B, display red and blue arrows indicating flow directions and intensities, marked as 4 and 25 kilograms per meter per second respectively. The maps depict terrain in gray.</alt-text>
</graphic>
</fig>
<p>When river discharge is 12000 m<sup>3</sup>/s, the NUSF become weakened with the increase of river discharge (<xref ref-type="fig" rid="f14">
<bold>Figure&#xa0;14B</bold>
</xref>), but the horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d;is still distinct.</p>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>Temporal variation in surface salinity at water intake of Qingcaosha Reservior</title>
<p>
<xref ref-type="fig" rid="f15">
<bold>Figure&#xa0;15</bold>
</xref> shows temporal variations in surface salinity at water intake of Qingcaosha Reservoir under river discharge of 8000, 10000 and 12000 m<sup>3</sup>/s. The salinity increases enormously after the action of persistent strong northerly wind. When river discharge is 8000 m<sup>3</sup>/s, the maximum salinity at the water intake is 22.81. When river discharge is 10000 m<sup>3</sup>/s, the maximum salinity at the water intake is 20.72. The reservoir cannot take freshwater till 10 October. When river discharge is 12000 m<sup>3</sup>/s, the maximum salinity at the water intake is 18.51, and salinity fluctuates around 2.5 till 15 October.</p>
<fig id="f15" position="float">
<label>Figure&#xa0;15</label>
<caption>
<p>Temporal variations in surface salinity at the water intake of Qingcaosha Reservoir. Red:river discharge 8000m<sup>3</sup>/s;black:river discharge 10000 m<sup>3</sup>/s;blue:river discharge 12000 m<sup>3</sup>/s. Green dashed line: salinity 0.45, the salinity standard of drink water.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g015.tif">
<alt-text content-type="machine-generated">Graph showing salinity (in practical salinity units) over time from September 1 to October 16. Salinity levels are stable initially, increase significantly around September 26, and then decrease gradually, with regular peaks and troughs.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3_4">
<label>3.3.4</label>
<title>Quantitative relationship between the longest continuous unsuitable water intake time and river discharge</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="fig" rid="f16">
<bold>Figure&#xa0;16</bold>
</xref> show the longest continuous unsuitable water intake time in different river discharges under persistent northerly wind of 15 m/s. When river discharge is 7000, 8000, 10000, 12000, 15000, 18000, 20000, 25000, and 30000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99, 38.80, 23.58, 16.09, 12.86, 8.76, 7.01, 1.39 and 0.26 day, respectively.</p>
<fig id="f16" position="float">
<label>Figure&#xa0;16</label>
<caption>
<p>Relationship between the longest continuous unsuitable water intake time and river discharge. Red dot: simulated result; black line: fitting relationship. Green dashed line: the longest continuous unsuitable water intake time of 43.99 day that Qingcaosha Reservoir can reach.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1661094-g016.tif">
<alt-text content-type="machine-generated">A graph depicting the relationship between river discharge and days. The x-axis represents river discharge in cubic meters per second, ranging from 6000 to 30000. The y-axis represents days, ranging from 0 to 50. Red dots indicate data points, and a solid black curve shows a downward trend, indicating a decrease in days as river discharge increases. A dashed green line parallels the x-axis near the top of the graph.</alt-text>
</graphic>
</fig>
<p>When the river discharge is reduced to 7000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99 days. When the river discharge is increased to 30000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 0.26 days. It can be inferred that when the river discharge is greater than 30000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 0 days. Fitting the data in <xref ref-type="fig" rid="f16">
<bold>Figure&#xa0;16</bold>
</xref>, we can get the quantitative relationship between river discharge (RD, unit m<sup>3</sup>/s) and the longest continuous unsuitable water intake time of Qingcaosha Reservoir is: (<xref ref-type="disp-formula" rid="eq5">Equation 5</xref>)</p>
<disp-formula id="eq5">
<label>(5)</label>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mi>y</mml:mi>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mrow>
<mml:mtable>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mn>43.99</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&lt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>4</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>b</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>11</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>3</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>c</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>6</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>d</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mi>x</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7000</mml:mn>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2264;</mml:mo>
<mml:mn>30000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mn>0</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&gt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>30000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mfrac bevelled="true">
<mml:mrow>
<mml:msup>
<mml:mi>m</mml:mi>
<mml:mn>3</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mi>s</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The correlation coefficient R<sup>2</sup> is 0.97.</p>
<p>Climate change can cause sea level rise, extreme drought and floods, which results in extremely low and high river discharge, and persistent long time strong wind. In this paper, the low and high river discharge, persistent strong northerly wind was considered, that can reflect the climate change effect. As for the impact of sea level rise caused by climate change on saltwater intrusion, it can enhance estuarine saltwater intrusion (<xref ref-type="bibr" rid="B27">Qiu and Zhu, 2015</xref>). The Three Gorges Dam significantly seasonally regulates the river discharge, intensifying the saltwater intrusion during the flood season and weakening it (<xref ref-type="bibr" rid="B6">Chen and Xu, 1995</xref>; <xref ref-type="bibr" rid="B26">Qiu et&#xa0;al., 2024</xref>). Climate change and human intervention can both affect saltwater intrusion.</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="conclusions">
<label>4</label>
<title>Conclusions</title>
<p>The saltwater intrusion in the Changjiang Estuary is mainly controlled by river discharge, tide and wind. We used a two-way nested unstructured quadrilateral grid, finite-differencing, three-dimensional estuarine and coastal ocean model (UFDECOM-i) with flux balance and a matching nesting boundary flux conservation interpolation, and designed numerical experiments of different river discharge under different wind to study change of saltwater intrusion and the quantitative relationship between unsuitable water intake time at Qingcaosha Reservoir and river discharge under different northerly wind speeds.</p>
<p>Under climatic wind conditions, when river discharge is 8000 m<sup>3</sup>/s, the NUSF flows landward in the North Branch, seaward in the South Branch, seaward in the North Channel and North Passage, landward flows on north side and seaward on south side of the South Channel, landward in the South Passage during spring tide. During neap tide, the pattern of NUSF is similar with the one in spring tide, but the values become smaller except in the South Passage. When river discharge is 12000 m<sup>3</sup>/s, the pattern of NUSF is similar with that in the case of 8000 m<sup>3</sup>/s, but the values become smaller. The salinity at the reservoir intake of Qingcaosha Reservoir is very sensitive to the variation in river discharge. With the increase of river discharge, the salinity decreases dramatically, and the available water intake time increases significantly. When river discharge is 7000, 7200, 7500, 7800, 8000, 9000, 10000, 11000, and 12000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99, 43.99, 40.15, 40.09, 39.09, 11.14, 5.29, 2.21, and 0.00 day, respectively. When the river discharge is further reduced to 7000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is still 43.99 days, meaning the longest continuous unsuitable water intake time will not increase when river discharge drop below 7200 m<sup>3</sup>/s. The quantitative relationship between river discharge and the longest continuous unsuitable water intake time of Qingcaosha Reservoir is expressed by <xref ref-type="disp-formula" rid="eq6">Equation A1</xref> with correlation coefficient R<sup>2</sup> of 0.99.</p>
<p>Under 7 day northerly wind of 10 m/s, when the river discharge is 8000 m<sup>3</sup>/s, the saltwater intrusion is very severe when the wind is forced. The entire estuary is occupied by saline water. The NUSF landward flows in the North Channel, then turns direction and flows into the South Channel toward sea, forming a horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d;. The strong landward Ekman transport resists the seaward runoff forming the horizontal salt transport route. When the river discharge is 12000 m<sup>3</sup>/s, the saltwater intrusion weakens, there is freshwater only on the south side of the South Branch. The horizontal salt transport route is weakened with the increase of river discharge. The salinity at the water intake of Qingcaosha Reservoir increases significantly after the action of persistent strong northerly wind. When river discharge is 7000, 8000, 10000, 12000, 15000, 18000, and 20000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99, 39.62, 19.24, 14.13, 5.74, 0.15 and 0.04 day, respectively. The quantitative relationship between river discharge and the longest continuous unsuitable water intake time of Qingcaosha Reservoir is expressed by <xref ref-type="disp-formula" rid="eq7">Equation A2</xref> with correlation coefficient R<sup>2</sup> of 0.99.</p>
<p>Under 7 day northerly wind of 15 m/s, saltwater intrusion increases significantly with the increase of wind speed. When the river discharge is 8000 m<sup>3</sup>/s, the salinity in most areas of the South Branch is greater than 2. The salinity is more than 10 in surface layer and greater than 15 at the water intake of Qingcaosha Reservoir. The pattern of NUSF is similar with that under persistent northerly wind of 10 m/s, but become much stronger. The horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d; is more significant. When the river discharge is 12000 m<sup>3</sup>/s, there is still no freshwater in all most area of the estuary. The NUSF become weakened with the increase of river discharge, but the horizontal salt transport route of &#x201c;flowing into the North Channel and out in the South Channel&#x201d; is still distinct. The salinity increases enormously after the action of persistent strong northerly wind. When river discharge is 7000, 8000, 10000, 12000, 15000, 18000 and 20000, 25000, 30000 m<sup>3</sup>/s, the longest continuous unsuitable water intake time is 43.99, 38.80, 23.58, 16.09, 12.86, 8.76, 7.01, 1.39 and 0.26 day, respectively. The quantitative relationship between river discharge and the longest continuous unsuitable water intake time of Qingcaosha Reservoir is expressed by <xref ref-type="disp-formula" rid="eq8">Equation A3</xref> with correlation coefficient R<sup>2</sup> of 0.97. The relationship between continuous unsuitable water intake time and river discharge under different northerly wind speeds can provide a basis for reservoir water intake and water supply safety.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XG: Writing &#x2013; original draft, Conceptualization, Investigation, Formal Analysis, Visualization, Methodology, Data curation. RM: Validation, Supervision, Writing &#x2013; review &amp; editing, Software. JZ: Funding acquisition, Writing &#x2013; review &amp; editing, Conceptualization, Investigation, Resources, Project administration, Formal Analysis, Supervision, Visualization, Methodology.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by Science and Technology Commission of Shanghai Municipality (grant 23DZ1203002), and the National Natural Science Foundation of China (grant U2340225, 42276174).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
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<title>Publisher&#x2019;s note</title>
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</sec>
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</person-group> (<year>2023</year>). <article-title>Research on comprehensive prevention and control system of saltwater intrusion in the Guangdong-Hong Kong- Macao Greater Bay Area</article-title>. <source>Water Resour. Prot.</source> <volume>39</volume>, <fpage>32</fpage>&#x2013;<lpage>41</lpage>.</citation></ref>
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<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Savenije</surname> <given-names>H. H. G.</given-names>
</name>
<name>
<surname>Si</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>S.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Saline water intrusion in relation to strong winds during winter cold outbreaks: North Branch of the Yangtze Estuary</article-title>. <source>J. Hydrol.</source> <volume>574</volume>, <fpage>1099</fpage>&#x2013;<lpage>1109</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jhydrol.2019.04.096</pub-id>
</citation></ref>
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<citation citation-type="journal">
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<surname>Zhu</surname> <given-names>J. R.</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Lyu</surname> <given-names>H.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Dynamic mechanism of an extremely severe saltwater intrusion in the Changjiang estuary in February 2014</article-title>. <source>Hydrol. Earth Syst. Sci.</source> <volume>24</volume>, <fpage>5043</fpage>&#x2013;<lpage>5056</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5194/hess-24-5043-2020</pub-id>
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<name>
<surname>Zhu</surname> <given-names>J. R.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>H.</given-names>
</name>
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<surname>Li</surname> <given-names>L.</given-names>
</name>
</person-group> (<year>2015</year>). &#x201c;<article-title>Hydrodynamics of the Changjiang Estuary and adjacent seas</article-title>,&#x201d; in <source>Ecological Continuum from the Changjiang (Yangtze River) Watersheds to the East China Sea Continental Margin</source> (<publisher-loc>Cham, Switzerland</publisher-loc>: <publisher-name>Springer International Publishing</publisher-name>), <fpage>19</fpage>&#x2013;<lpage>45</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-3-319-16339-0_2</pub-id>
</citation></ref>
</ref-list>
<app-group>
<app>
<title>Appendix</title>
<p>Equation A1:</p>
<disp-formula id="eq6">
<mml:math display="block" id="M6">
<mml:mrow>
<mml:mi>y</mml:mi>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>43.99</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
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<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&lt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7200</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mi>a</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>13</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>4</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>b</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
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<mml:mn>8</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>3</mml:mn>
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<mml:mo>+</mml:mo>
<mml:mi>c</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>d</mml:mi>
<mml:mi>x</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>e</mml:mi>
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<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7200</mml:mn>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&lt;</mml:mo>
<mml:mn>8000</mml:mn>
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</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mi>f</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
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<mml:mn>8</mml:mn>
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</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>3</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>g</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>h</mml:mi>
<mml:mi>x</mml:mi>
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<mml:mo>&#xa0;</mml:mo>
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<mml:mo>&#xa0;</mml:mo>
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<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>8000</mml:mn>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2264;</mml:mo>
<mml:mn>12000</mml:mn>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
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<mml:mn>0</mml:mn>
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<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&gt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>12000</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>a= 7.271; b= -3.085; c= 4.9; d= -3.455; e= 9137.969; f= -3.821; g= 8.807; h= -6.766; i=17363.015.</p>
<p>Equation A2:</p>
<disp-formula id="eq7">
<mml:math display="block" id="M7">
<mml:mrow>
<mml:mi>y</mml:mi>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mrow>
<mml:mtable>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>43.99</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
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<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
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<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&lt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
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<mml:mi>e</mml:mi>
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<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>4</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>b</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>10</mml:mn>
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</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>3</mml:mn>
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<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>6</mml:mn>
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</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
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<mml:mo>+</mml:mo>
<mml:mi>d</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
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</mml:msup>
<mml:mi>x</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7000</mml:mn>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2264;</mml:mo>
<mml:mn>20000</mml:mn>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
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<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&gt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>20000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>a= 1.538; b= -1.038; c= 2.791; d= -3.641; e= 195.647.</p>
<p>Equation A3:</p>
<disp-formula id="eq8">
<mml:math display="block" id="M8">
<mml:mrow>
<mml:mi>y</mml:mi>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mrow>
<mml:mtable>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>43.99</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&lt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>15</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>4</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>b</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>11</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>3</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>c</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>6</mml:mn>
</mml:mrow>
</mml:msup>
<mml:msup>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
<mml:mo>+</mml:mo>
<mml:mi>d</mml:mi>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mi>x</mml:mi>
<mml:mo>+</mml:mo>
<mml:mi>e</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>7000</mml:mn>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&#x2264;</mml:mo>
<mml:mn>30000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mrow>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>0</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>R</mml:mi>
<mml:mi>D</mml:mi>
<mml:mo>&gt;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>30000</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mfrac bevelled="true">
<mml:mrow>
<mml:msup>
<mml:mi>m</mml:mi>
<mml:mn>3</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mi>s</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>a= 1.012; b= -8.314; c= 2.51; d= -3.399; e= 186.298.</p>
</app>
</app-group>
</back>
</article>