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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.2022.843549</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>Seasonal Distributions of Methane in a Populous Urban Coastal Sea Area</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tseng</surname><given-names>Hsiao-Chun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/546537"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname><given-names>Chia-Chia</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pan</surname><given-names>Hui-Juan</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/913210"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Han</surname><given-names>Yokie Tai Yuh</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gong</surname><given-names>Gwo-Ching</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/811245"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institute of Marine Environment and Ecology, National Taiwan Ocean University</institution>, <addr-line>Keelung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Center of Excellence for the Oceans, National Taiwan Ocean University</institution>, <addr-line>Keelung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Institute of Earth Sciences, College of Ocean Science and Resource, National Taiwan Ocean University</institution>, <addr-line>Keelung</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: William Savidge, Odum School of Ecology, University of Georgia, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Stefano Bonaglia, University of Gothenburg, Sweden; Masahiro Suzumura, National Institute of Advanced Industrial Science and Technology (AIST), Japan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Hsiao-Chun Tseng, <email xlink:href="mailto:h.c.jean.tseng@gmail.com">h.c.jean.tseng@gmail.com</email>; Gwo-Ching Gong, <email xlink:href="mailto:gcgong@mail.ntou.edu.tw">gcgong@mail.ntou.edu.tw</email> </p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Coastal Ocean Processes, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>843549</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Tseng, Lin, Pan, Han and Gong</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Tseng, Lin, Pan, Han and Gong</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>Methane (CH<sub>4</sub>) is an important greenhouse gas, and its concentrations in aquatic areas are heavily influenced by anthropogenic activities, especially human-induced eutrophication, polluted river discharge and wastewater treatment plant (WWTP) effluents. Although coastal areas and estuaries contribute large amounts of global oceanic CH<sub>4</sub> emissions, the relative contributions of different sources have not been well determined. The Tamsui River located in northern Taiwan is an urban river flowing through populated cities and thus likely carries large amounts of contaminants, such as nutrients and organic matter to the estuary. In this study, we characterized the spatial distribution and seasonal variations in CH<sub>4</sub> in the Tamsui River estuary adjacent marine areas. The sea-to-air CH<sub>4</sub> fluxes were also estimated to quantify the strength of the study area as an atmospheric CH<sub>4</sub> source. Our results showed that CH<sub>4</sub> concentrations in coastal sea areas were influenced by WWTP effluents, sediment and freshwater inputs. Thus, river discharge and nutrient levels as well as strong vertical mixing and disturbances might increase CH<sub>4</sub> concentrations and emissions. The seasonal surface CH<sub>4</sub> concentrations and sea-to-air CH<sub>4</sub> fluxes were 13.7 &#xb1; 18.7 nM and 41.7 &#xb1; 68.0 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> in autumn; 29.3 &#xb1; 19.8 nM and 61.3 &#xb1; 44.6 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> in spring; 21.8 &#xb1; 13.9 nM and 37.0 &#xb1; 26.2 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> in summer; and 27.0 &#xb1; 21.4 nM and 85.9 &#xb1; 75.4 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> in winter.</p>
</abstract>
<kwd-group>
<kwd>methane</kwd>
<kwd>WWTP effluents</kwd>
<kwd>nutrients</kwd>
<kwd>Tamsui River</kwd>
<kwd>greenhouse gases</kwd>
</kwd-group>
<contract-sponsor id="cn001">Ministry of Science and Technology, Taiwan<named-content content-type="fundref-id">10.13039/501100004663</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="3"/>
<equation-count count="2"/>
<ref-count count="51"/>
<page-count count="11"/>
<word-count count="5978"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Methane (CH<sub>4</sub>), the second most important greenhouse gas after carbon dioxide (CO<sub>2</sub>), has global warming potential over a 20-year time frame (GWP<sub>20</sub>) that is 86 times as high as that of CO<sub>2</sub> (<xref ref-type="bibr" rid="B22">IPCC, 2013</xref>). It accounts for 16&#x2013;25% of atmospheric warming to date (<xref ref-type="bibr" rid="B14">Etminan et&#xa0;al., 2016</xref>). The global atmospheric CH<sub>4</sub> concentration has increased significantly from a preindustrial value of 722 &#xb1; 25 ppb in 1750 to 1803 &#xb1; 2 ppb in 2011, and the most plausible cause of the increase in CH<sub>4</sub> concentration is human activities (<xref ref-type="bibr" rid="B22">IPCC, 2013</xref>). <xref ref-type="bibr" rid="B25">Kirschke et&#xa0;al. (2013)</xref> estimated that the global surface-to-air CH<sub>4</sub> emissions from 2000 to 2009 were 678 Tg CH<sub>4</sub> yr<sup>&#x2212;1</sup>, with a large range of 542-852 Tg CH<sub>4</sub> yr<sup>&#x2212;1</sup>. <xref ref-type="bibr" rid="B23">Jackson et&#xa0;al. (2020)</xref> also reported that the average global CH<sub>4</sub> emissions for 2017 were 596 Tg CH<sub>4</sub> yr<sup>&#x2212;1</sup>, with a range of 572&#x2013;614 Tg CH<sub>4</sub> yr<sup>&#x2212;1</sup>. The open ocean is a modest source of CH<sub>4</sub> to the atmosphere at a rate of less than 2 Tg CH<sub>4</sub> yr<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B34">Rhee et&#xa0;al., 2009</xref>). A large fraction of marine-originated CH<sub>4</sub> in the atmosphere is produced in oxygenated surface waters that are oversaturated with CH<sub>4</sub> in relation to atmospheric equilibrium (<xref ref-type="bibr" rid="B24">Karl et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B33">Repeta et&#xa0;al., 2016</xref>), an unexplained phenomenon referred to as the marine methane paradox (<xref ref-type="bibr" rid="B31">Reeburgh, 2007</xref>; <xref ref-type="bibr" rid="B33">Repeta et&#xa0;al., 2016</xref>). Previous research has revealed that most CH<sub>4</sub> found in the euphotic zone was released during zooplankton grazing (<xref ref-type="bibr" rid="B12">de Angelis and Lee, 1994</xref>) or in anoxic microenvironments within zooplankton fecal pellets (<xref ref-type="bibr" rid="B38">Tilbrook and Karl, 1994</xref>). Recent research has determined that the formation of CH<sub>4</sub> in oxic environments can occur <italic>via</italic> methylphosphonate cycling (<xref ref-type="bibr" rid="B24">Karl et&#xa0;al., 2008</xref>) and by dimethylsulfide (DMS) cycling (<xref ref-type="bibr" rid="B11">Damm et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B15">Florez-Leiva et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B51">Zindler et&#xa0;al., 2013</xref>). Moreover, <xref ref-type="bibr" rid="B4">Bogard et&#xa0;al. (2014)</xref> suggested a possible link between CH<sub>4</sub> concentration and phytoplankton standing stock (i.e., chlorophyll <italic>a</italic>), which implies that factors influencing phytoplankton standing stock, such as grazing, nutrient availability and the physical structure of the water column, have a strong bearing on pelagic CH<sub>4</sub> dynamics.</p>
<p>Coastal regions are more intense sources of CH<sub>4</sub> to the atmosphere, which contribute approximately 75% of global oceanic CH<sub>4</sub> emissions (<xref ref-type="bibr" rid="B2">Bange et&#xa0;al., 1994</xref>). Continental shelves emit approximately 13 Tg CH<sub>4</sub> yr<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B2">Bange et&#xa0;al., 1994</xref>), whereas estuaries emit between 1 and 7 Tg CH<sub>4</sub> yr<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B2">Bange et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B41">Upstill-Goddard et&#xa0;al., 2000</xref>). The high CH<sub>4</sub> concentrations in the surface waters of continental shelves are due to direct CH<sub>4</sub> inputs from estuaries and sediments where methanogenesis is sustained by abundant organic matter sedimentation (<xref ref-type="bibr" rid="B2">Bange et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B32">Rehder et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B41">Upstill-Goddard et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B26">Middelburg et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B7">Borges et&#xa0;al., 2018</xref>). In addition, the impacts of human activities on coastal CH<sub>4</sub> emissions, such as dam construction (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2008</xref>), eutrophication (<xref ref-type="bibr" rid="B3">Beaulieu et&#xa0;al., 2019</xref>), wastewater discharge into coastal areas (<xref ref-type="bibr" rid="B13">Du et&#xa0;al., 2018</xref>), changes in hydrology (<xref ref-type="bibr" rid="B30">Pekel et&#xa0;al., 2016</xref>) and climate feedbacks, such as microbial responses to warming (<xref ref-type="bibr" rid="B48">Yvon-Durocher et&#xa0;al., 2014</xref>), are not well understood and have been poorly quantified. <xref ref-type="bibr" rid="B3">Beaulieu et&#xa0;al. (2019)</xref> and <xref ref-type="bibr" rid="B28">Nijman et&#xa0;al. (2021)</xref> also reported that future CH<sub>4</sub> emissions from lakes and impoundments worldwide may increase due to increases in nutrients and water temperature. <xref ref-type="bibr" rid="B7">Borges et&#xa0;al. (2018)</xref> also found that productivity and temperature are drivers to seasonal and spatial variations of dissolved methane in the Southern Bight of the North Sea. In addition, <xref ref-type="bibr" rid="B27">Myllykangas et&#xa0;al. (2019)</xref> addressed that eutrophication and climate change may accelerate CH<sub>4</sub> emissions from estuaries, causing positive feedbacks with global warming.</p>
<p>The scope of this study is to investigate seasonal distributions of methane in a populous urban coastal sea area. Estuaries transfer terrestrial matter and human impacts (nutrients, organic matter etc.) from land to ocean. The Tamsui River is a populous urban river, and the highest regional population density in its catchment reaches 38,607 people per km<sup>2</sup> (Yonghe district). Recent research (<xref ref-type="bibr" rid="B6">Borges et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B16">Gelesh et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B7">Borges et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B21">Humborg et&#xa0;al., 2019</xref>) has found massive CH<sub>4</sub> emissions in estuaries and coastal water during summertime, which might be due to temperature controlling methanogenesis in organic matter rich sediments. Since the seawater temperature was higher in tropical/subtropical areas than in temperate regions, the CH<sub>4</sub> concentrations in the water might also be higher, especially under future climate change. Seasonal data collection is needed for a comprehensive view of the situation. This research aims to understand the seasonal variations in CH<sub>4</sub> concentrations as well as their interaction with other environmental factors that may be influenced by human activities in a populous urban coastal area.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Study Area</title>
<p>The Tamsui River is located in northern Taiwan (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) and has a total length of 159 km. The catchment area of the Tamsui River is 2,726 km<sup>2</sup>, and it covers the whole metropolitan area of Taipei, the capital city of Taiwan. The drainage basin includes several regions along the main tributaries where large amounts of nutrients, resulting from industrial and agricultural activities, enter the river (<xref ref-type="bibr" rid="B45">Wen et&#xa0;al., 2008</xref>). The Tamsui River delivers materials, including suspended particles, nutrients, organic matter, and pollutants, from land into its estuary and adjacent marine areas. There were 7.13 million people living in the catchment, and approximately 60% of the population utilized the sanitary sewers in 2019 (<xref ref-type="bibr" rid="B40">Tseng et&#xa0;al., 2021</xref>). The largest wastewater treatment plant (WWTP) in Taiwan is located near the Tamsui River estuary (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>), and its ocean outfall pipe extends from the shore and enters the ocean. The outlet of the ocean outfall pipe of the WWTP was located near sampling station 11 (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) and its diffuser tubes are 3 km from shore at water depths between 30 m and 40 m.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study area and station locations. +: OR2-2390 (November 2019); &#x25cb;: NOR2-0004 (May 2020) and NOR2-0009 (August 2020); &#x25a1;: NOR2-0027 (January 2021). &#x394;: ocean outfall pipe of wastewater treatment plant. <bold>&#x2606;</bold>: Wind station.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-843549-g001.tif"/>
</fig>
<p>The regional climate is subtropical, with temperatures varying between 10 and 35 &#xb0;C and annual precipitation ranging between 1500 and 2500 mm (<xref ref-type="bibr" rid="B45">Wen et&#xa0;al., 2008</xref>). The dry season ranges from November to April, and the wet season ranges from May to October. According to the historical data from the Tamsui weather station (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) over the past 25 years (1995-2020), the average rainfall is 776 &#xb1; 269 mm during the dry season, while it is 1322 &#xb1; 440 mm during the wet season (Central Weather Bureau: <uri xlink:href="https://www.cwb.gov.tw/eng/">https://www.cwb.gov.tw/eng/</uri>).</p>
</sec>
<sec id="s2_2">
<title>Cruise Information and Sampling Instruments</title>
<p>Seasonal samples were taken in the Tamsui River estuary adjacent sea area (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) during four cruises onboard R/V Ocean Researcher 2 and R/V New Ocean Researcher 2: OR2-2390 (November 2019), NOR2-0004 (May 2020), NOR2-0009 (August 2020), and NOR2-0027 (January 2021). Discrete water samples were taken at various depths at 16 sampling stations in autumn (November 2019) and 20 sampling stations in spring (May 2020) and summer (August 2020). Due to the adverse weather conditions in winter (January 2021), discrete water samples were taken at various depths at 6 sampling stations, and surface water samples were taken at 10 sampling stations. The vertical profiles of seawater temperature and salinity were measured with a conductivity&#x2013;temperature&#x2013;depth instrument (CTD; SBE 9/11, Seabird Scientific, USA). Seawater samples from various depths were collected using a carousel water sampler (SBE32, Seabird Scientific, USA) that was fitted with 20 L Teflon-coated Go-Flo bottles (General Oceanic, USA) mounted on a CTD assembly.</p>
</sec>
<sec id="s2_3">
<title>Chemical Analysis</title>
<p>Water samples for nutrient analysis were placed in 100 mL polypropylene bottles and immediately frozen with liquid nitrogen. The methods employed for nitrate (NO<sub>3</sub>-) and phosphate PO<sub>4</sub><sup>3&#x2212;</sup> analysis are described in detail elsewhere (<xref ref-type="bibr" rid="B17">Gong et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B18">Gong et&#xa0;al., 2000</xref>), and the precision was &#xb1;0.3 and &#xb1;0.01 &#x3bc;mol L<sup>-1</sup>, respectively. Dissolved oxygen (DO) was measured by spectrophotometry (<xref ref-type="bibr" rid="B29">Pai et&#xa0;al., 1993</xref>) with a precision of approximately &#xb1; 0.32% at the 190 &#x3bc;mol L<sup>-1</sup> level. Water samples for chlorophyll <italic>a</italic> (Chl <italic>a</italic>) analysis were immediately filtered through GF/F filter paper (Whatman, 47 mm) and stored at -20&#xb0;C. A Turner Designs model 10-AU-005 fluorometer (Turner Inc., USA) was utilized to measure the Chl <italic>a</italic> concentration following extraction by 90% acetone (<xref ref-type="bibr" rid="B36">Strickland and Parsons, 1972</xref>; <xref ref-type="bibr" rid="B20">Gong et&#xa0;al., 1993</xref>; <xref ref-type="bibr" rid="B19">Gong et&#xa0;al., 1995</xref>).</p>
<p>Water samples for CH<sub>4</sub> concentration were collected in 120 mL dark borosilicate serum bottles. The bottles were rinsed three times with the sampled water. After a 2-fold bottle volume was allowed to overflow the bottle, 0.2 mL saturated HgCl<sub>2</sub> was added. It was then sealed with a butyl stopper and crimped with an aluminum cap. The samples were stored in a dark box and kept at 4&#xb0;C. All the water samples were transferred to a laboratory and analyzed within three months of collection. Measurements were made with the headspace technique (<xref ref-type="bibr" rid="B44">Weiss, 1981</xref>) and a gas chromatograph (GC; Agilent 7890) with a flame ionization detector (FID). The GC-FID had a 1.8 m long stainless steel column with a diameter of 3.2 mm, which was filled with a 60/80 mesh molecular sieve 5A. The FID was calibrated with pure N<sub>2</sub> (Yeong Her, Taiwan) and three commercial gas mixtures with CH<sub>4</sub> mixing ratios of 1.16 ppmv (MESA Specialty Gas, USA), 3.02 ppmv (Yeong Her, Taiwan) and 9.60 ppmv (Yeong Her, Taiwan).</p>
</sec>
<sec id="s2_4">
<title>CH<sub>4</sub> Saturation Ratio and Fluxes</title>
<p>The saturation (R, %) and sea-to-air flux (F, &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;d<sup>&#x2212;1</sup>) of CH<sub>4</sub> were calculated using the following formulas:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mrow>
<mml:mi>o</mml:mi>
<mml:mi>b</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="false">/</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mrow>
<mml:mi>e</mml:mi>
<mml:mi>q</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2217;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mi>F</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>&#x3bc;</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>l</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:msup>
<mml:mi>m</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mtext>&#x2009;</mml:mtext>
<mml:msup>
<mml:mi>d</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mi>k</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mrow>
<mml:mi>o</mml:mi>
<mml:mi>b</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mrow>
<mml:mi>e</mml:mi>
<mml:mi>q</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p><italic>C<sub>obs</sub>
</italic> represents the observed concentration of gas dissolved in water, and <italic>C<sub>eq</sub>
</italic> is the expected equilibrium water concentration. The expected equilibrium water concentration was calculated using the solubility equation of (<xref ref-type="bibr" rid="B46">Wiesenburg and Norman, 1979</xref>), together with the <italic>in situ</italic> temperature, salinity and molar fraction of CH<sub>4</sub> in the air. The atmospheric CH<sub>4</sub> concentrations were taken from the NOAA/ESRL <italic>in situ</italic> program (<uri xlink:href="http://www.esrl.noaa.gov/gmd">http://www.esrl.noaa.gov/gmd</uri>). The monthly average atmospheric CH<sub>4</sub> concentrations at Mauna Loa (Hawaii, United States station) in November, 2019, May 2020, August 2020 and December 2020 were 1900, 1901, 1878 and 1912 ppb, respectively. (The data for Jan. 2021 have not yet come out; therefore, December 2020 monthly average atmospheric CH<sub>4</sub> concentrations were used).</p>
<p>Fluxes (&#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;d<sup>&#x2212;1</sup>) of CH<sub>4</sub> across the air-water interface were determined by <italic>C<sub>obs</sub>&#x2212;C<sub>eq</sub>
</italic> and the gas exchange coefficient <italic>k</italic>. The value of <italic>k</italic> is a specific function of the properties of the gas, the temperature (&#xb0;C) and turbulence and is frequently parameterized as a function of the wind speed. In this study, wind speed at a height of approximately 15 m above the sea surface from a meteorological platform (121.3758&#xb0;E 25.1817&#xb0;N; <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) was used. Daily wind speed data were provided by the Harbor and Marine Technology Center (<uri xlink:href="https://www.ihmt.gov.tw/">https://www.ihmt.gov.tw/</uri>). We calculated <italic>k</italic> by using the equation established by <xref ref-type="bibr" rid="B43">Wanninkhof (2014)</xref>. A positive flux indicates gas transfer from the water to the atmosphere.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>Marine hydrographic and chemical data as well as Chl <italic>a</italic> and CH<sub>4</sub> were measured during four seasonal cruises in the Tamsui River estuary adjacent marine area. Detailed information on the seasonal cruises and the average hydrographic data, nutrient concentrations, and Chl <italic>a</italic> and CH<sub>4</sub> concentrations are listed in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref> presents cross-sectional studies of the Tamsui River estuary adjacent marine area in autumn, spring and summer.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The seasonal average hydrographic data, nutrients, Chl <italic>a</italic> and CH<sub>4</sub> concentrations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Sampling Date</th>
<th valign="top" align="center"/>
<th valign="top" align="center">Temperature</th>
<th valign="top" align="center">Salinity</th>
<th valign="top" align="center">CH<sub>4</sub>
</th>
<th valign="top" align="center">DO</th>
<th valign="top" align="center">
<inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:mtext>P</mml:mtext>
<mml:msubsup>
<mml:mtext>O</mml:mtext>
<mml:mn>4</mml:mn>
<mml:mrow>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula>
</th>
<th valign="top" align="center">
<inline-formula>
<mml:math display="inline" id="im2">
<mml:mrow>
<mml:mtext>N</mml:mtext>
<mml:msubsup>
<mml:mtext>O</mml:mtext>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula>
</th>
<th valign="top" align="center">DIN</th>
<th valign="top" align="center">Chl_<italic>a</italic>
</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"/>
<th valign="top" align="center">(&#x2da;C)</th>
<th valign="top" align="center"/>
<th valign="top" align="center">(nM)</th>
<th valign="top" align="center">(&#xb5;M)</th>
<th valign="top" align="center">(&#xb5;M)</th>
<th valign="top" align="center">(&#xb5;M)</th>
<th valign="top" align="center">(&#xb5;M)</th>
<th valign="top" align="center">(mg m<sup>-3</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Autumn</td>
<td valign="top" align="left">Range</td>
<td valign="top" align="center">18.9-24.0</td>
<td valign="top" align="center">33.45-34.30</td>
<td valign="top" align="center">1.4-78.0</td>
<td valign="top" align="center">186.7-228.9</td>
<td valign="top" align="center">0.26-0.78</td>
<td valign="top" align="center">2.9-9.4</td>
<td valign="top" align="center">3.58-10.15</td>
<td valign="top" align="center">0.15-1.50</td>
</tr>
<tr>
<td valign="top" align="left">Nov. 2019</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">23.4 &#xb1; 0.9</td>
<td valign="top" align="center">33.72 &#xb1; 0.20</td>
<td valign="top" align="center">13.0 &#xb1; 16.6</td>
<td valign="top" align="center">217.7 &#xb1; 7.4</td>
<td valign="top" align="center">0.38 &#xb1; 0.10</td>
<td valign="top" align="center">4.3 &#xb1; 1.1</td>
<td valign="top" align="center">5.66 &#xb1; 1.51</td>
<td valign="top" align="center">0.72 &#xb1; 0.25</td>
</tr>
<tr>
<td valign="top" align="left">Spring</td>
<td valign="top" align="left">Range</td>
<td valign="top" align="center">26.0-27.2</td>
<td valign="top" align="center">31.68-34.46</td>
<td valign="top" align="center">4.3-77.4</td>
<td valign="top" align="center">193.1-216.0</td>
<td valign="top" align="center">0.12-0.87</td>
<td valign="top" align="center">0-3.7</td>
<td valign="top" align="center">0.50-17.33</td>
<td valign="top" align="center">0-0.77</td>
</tr>
<tr>
<td valign="top" align="left">May 2020</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">26.8 &#xb1; 0.2</td>
<td valign="top" align="center">34.14 &#xb1; 0.47</td>
<td valign="top" align="center">20.2 &#xb1; 16.7</td>
<td valign="top" align="center">206.1 &#xb1; 4.5</td>
<td valign="top" align="center">0.26 &#xb1; 0.14</td>
<td valign="top" align="center">0.6 &#xb1; 0.6</td>
<td valign="top" align="center">3.09 &#xb1; 2.64</td>
<td valign="top" align="center">0.36 &#xb1; 0.15</td>
</tr>
<tr>
<td valign="top" align="left">Summer</td>
<td valign="top" align="left">Range</td>
<td valign="top" align="center">27.0-30.8</td>
<td valign="top" align="center">33.62-34.20</td>
<td valign="top" align="center">5.0-58.5</td>
<td valign="top" align="center">185.0-209.4</td>
<td valign="top" align="center">0.09-0.49</td>
<td valign="top" align="center">0-4.7</td>
<td valign="top" align="center">0.52-6.76</td>
<td valign="top" align="center">0.15-1.6</td>
</tr>
<tr>
<td valign="top" align="left">Aug. 2020</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">29.6 &#xb1; 0.9</td>
<td valign="top" align="center">34.00 &#xb1; 0.14</td>
<td valign="top" align="center">17.5 &#xb1; 13.1</td>
<td valign="top" align="center">190.8 &#xb1; 4.6</td>
<td valign="top" align="center">0.26 &#xb1; 0.10</td>
<td valign="top" align="center">1.1 &#xb1; 0.9</td>
<td valign="top" align="center">3.01 &#xb1; 1.61</td>
<td valign="top" align="center">0.56 &#xb1; 0.29</td>
</tr>
<tr>
<td valign="top" align="left">Winter</td>
<td valign="top" align="left">Range</td>
<td valign="top" align="center">18.4-19.4</td>
<td valign="top" align="center">33.06-34.35</td>
<td valign="top" align="center">5.4-69.6</td>
<td valign="top" align="center">227.7-252.4</td>
<td valign="top" align="center">0.44-0.85</td>
<td valign="top" align="center">6.0-8.5</td>
<td valign="top" align="center">6.83-13.14</td>
<td valign="top" align="center">0-0.30</td>
</tr>
<tr>
<td valign="top" align="left">Jan. 2021</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">18.6 &#xb1; 0.3</td>
<td valign="top" align="center">34.06 &#xb1; 0.37</td>
<td valign="top" align="center">20.4 &#xb1; 13.8</td>
<td valign="top" align="center">224.7 &#xb1; 7.9</td>
<td valign="top" align="center">0.59 &#xb1; 0.08</td>
<td valign="top" align="center">6.8 &#xb1; 0.6</td>
<td valign="top" align="center">8.49 &#xb1; 1.37</td>
<td valign="top" align="center">0.12 &#xb1; 0.07</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Cross-section of temperature, salinity, NO<sub>3</sub>, PO<sub>4</sub>, Chl <italic>a</italic>, DO and CH<sub>4</sub> <bold>(A&#x2013;G)</bold> in autumn, <bold>(H&#x2013;N)</bold> in spring, and <bold>(O&#x2013;U)</bold> in summer.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-843549-g002.tif"/>
</fig>
<sec id="s3_1">
<title>Marine Environmental Conditions and Methane Concentrations in the Dry Season (Autumn and Winter)</title>
<p>In autumn, the seawater temperature and salinity ranged from 18.9 to 24.0&#xb0;C and 33.45 to 34.30 (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), respectively. The seawater temperature gradually decreased with depth (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>), and the lowest salinity values were observed near shore (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). The <inline-formula>
<mml:math display="inline" id="im5">
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>4</mml:mn>
<mml:mrow>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula>
<mml:math display="inline" id="im6">
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> concentrations ranged from 0.26 to 0.78 &#x3bc;M and 2.9 to 9.4 &#x3bc;M (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), respectively. The nutrient concentrations increased with depth and from offshore to inshore (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2C, D</bold></xref>). Chl <italic>a</italic> concentrations ranged between 0.15 and 1.50 mg m<sup>-3</sup> (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) and gradient descent from the surface water (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2E</bold></xref>). DO concentrations ranged between 186.7 and 228.9 &#x3bc;M (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) and had the same pattern as the Chl <italic>a</italic> distributions (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2F</bold></xref>). CH<sub>4</sub> concentrations ranged from 1.4 to 78.0 nM (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), and high CH<sub>4</sub> concentrations were observed near station 11, where the outlet of the ocean outfall pipe which discharged the WWTP effluents was located (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2G</bold></xref>). The average surface seawater CH<sub>4</sub> concentration was 13.7 &#xb1; 18.7 nM. Long-term wind speed data from the meteorological platform were used, and the average wind speed in November between 2005 and 2019 was 7.9 &#xb1; 0.8 m/s. The sea-to-air CH<sub>4</sub> flux was 46.3 &#xb1; 75.4 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The seasonal average surface hydrographic data, CH<sub>4</sub> concentrations, air CH<sub>4</sub> concentrations, wind speed and sea-to-air CH<sub>4</sub> fluxes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Season</th>
<th valign="top" align="center">Sampling Date</th>
<th valign="top" align="center">Temperature<break/>(&#xb0;C)</th>
<th valign="top" align="center">Salinity</th>
<th valign="top" align="center">Air CH<sub>4</sub> concentrations<break/>(ppm)</th>
<th valign="top" align="center">surface CH<sub>4</sub> concentrations (nM)</th>
<th valign="top" align="center">CH<sub>4</sub> saturation<break/>(%)</th>
<th valign="top" align="center">Monthly wind speed<break/>(m s<sup>-1</sup>)</th>
<th valign="top" align="center">Sea-to-air CH<sub>4</sub> fluxes<break/>(&#x3bc;mol m<sup>-2</sup> d<sup>-1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Autumn</bold>
</td>
<td valign="top" align="left">Nov. 2019</td>
<td valign="top" align="center">23.8 &#xb1; 0.2</td>
<td valign="top" align="center">33.63 &#xb1; 0.10</td>
<td valign="top" align="center">1.90 &#xb1; 0.01 <xref ref-type="table-fn" rid="fnT2_1"><sup>a</sup></xref>
</td>
<td valign="top" align="center">13.7 &#xb1; 18.7</td>
<td valign="top" align="center">615 &#xb1; 840</td>
<td valign="top" align="center">7.9 &#xb1; 0.8</td>
<td valign="top" align="center">46.3 &#xb1; 75.4</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Spring</bold>
</td>
<td valign="top" align="left">May 2020</td>
<td valign="top" align="center">26.8 &#xb1; 0.2</td>
<td valign="top" align="center">33.71 &#xb1; 0.78</td>
<td valign="top" align="center">1.90 &#xb1; 0.02 <xref ref-type="table-fn" rid="fnT2_1"><sup>a</sup></xref>
</td>
<td valign="top" align="center">29.3 &#xb1; 19.8</td>
<td valign="top" align="center">1383 &#xb1; 930</td>
<td valign="top" align="center">5.0 &#xb1; 0.6</td>
<td valign="top" align="center">47.2 &#xb1; 34.3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Summer</bold>
</td>
<td valign="top" align="left">Aug. 2020</td>
<td valign="top" align="center">29.9 &#xb1; 0.7</td>
<td valign="top" align="center">33.89 &#xb1; 0.16</td>
<td valign="top" align="center">1.88 &#xb1; 0.01 <xref ref-type="table-fn" rid="fnT2_1"><sup>a</sup></xref>
</td>
<td valign="top" align="center">21.8 &#xb1; 13.9</td>
<td valign="top" align="center">1095 &#xb1; 702</td>
<td valign="top" align="center">5.0 &#xb1; 0.7</td>
<td valign="top" align="center">37.0 &#xb1; 26.2</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Winter</bold>
</td>
<td valign="top" align="left">Jan. 2021</td>
<td valign="top" align="center">18.8 &#xb1; 0.4</td>
<td valign="top" align="center">33.75 &#xb1; 0.53</td>
<td valign="top" align="center">1.91 &#xb1; 0.02 <xref ref-type="table-fn" rid="fnT2_1"><sup>a</sup></xref>
</td>
<td valign="top" align="center">27.0 &#xb1; 21.4</td>
<td valign="top" align="center">1104 &#xb1; 878</td>
<td valign="top" align="center">8.0 &#xb1; 0.8</td>
<td valign="top" align="center">90.4 &#xb1; 79.3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT2_1">
<label>a</label>
<p>Air CH<sub>4</sub> concentrations were from the monthly average data at Mauna Loa, Hawaii, United States.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In winter, only surface water was taken between stations 5 and 9 so there was no cross-sectional figure due to the adverse weather conditions caused by the prevailing northeast monsoon. According to the data from 10 sampling stations, the seawater temperature and salinity ranged from 18.4 to 19.4&#xb0;C and 33.06 to 34.35 (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), respectively. Although nutrient concentrations were comparably high, with <inline-formula>
<mml:math display="inline" id="im7">
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>4</mml:mn>
<mml:mrow>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula>
<mml:math display="inline" id="im8">
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:msubsup>
</mml:mrow>
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</inline-formula> concentrations ranging from 0.44 to 0.85 &#x3bc;M and 6.0 to 8.5 &#x3bc;M, the Chl <italic>a</italic> concentrations were low, ranging between 0 and 0.30 mg m<sup>-3</sup> (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). DO concentrations were comparably high and ranged between 227.7 and 252.4 &#x3bc;M (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), which might be caused by low temperature and high wind ventilation. Wind speed data between 2005 and 2019 from the meteorological platform were used, and the average wind speed in January was 8.0 &#xb1; 0.8 m/s. CH<sub>4</sub> concentrations ranged from 5.4 to 69.6 nM, and the average surface CH<sub>4</sub> concentration was 27.0 &#xb1; 21.4 nM. With a comparably high wind speed, the sea-to-air CH<sub>4</sub> flux was as high as 90.4 &#xb1; 79.3 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
</sec>
<sec id="s3_2">
<title>Marine Environmental Conditions and Methane Concentrations in the Wet Season (Spring and Summer)</title>
<p>In spring, the seawater temperature and salinity ranged from 26.0 to 27.2&#xb0;C and 31.68 to 34.46 (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), respectively. The seawater temperature was homogeneous throughout the water column (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2H</bold></xref>). The <inline-formula>
<mml:math display="inline" id="im9">
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>4</mml:mn>
<mml:mrow>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula>
<mml:math display="inline" id="im10">
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
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<mml:mo>&#x2212;</mml:mo>
</mml:msubsup>
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</inline-formula> concentrations ranged from 0.12 to 0.87 &#x3bc;M and 0 to 3.7 &#x3bc;M (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), respectively. Low salinity and high nutrient concentrations were observed in the surface water and near the shore (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2I&#x2013;K</bold></xref>) due to heavy precipitation on the sampling date. Chl <italic>a</italic> concentrations ranged between 0 and 0.77 mg m<sup>-3</sup> (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) and had higher concentrations nearshore (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2L</bold></xref>). DO concentrations ranged between 193.1 and 216.0 &#x3bc;M (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) and had a similar pattern as the Chl <italic>a</italic> distributions (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2M</bold></xref>). CH<sub>4</sub> concentrations ranged from 4.3 to 77.4 nM (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), and high CH<sub>4</sub> concentrations were observed near the shore (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2N</bold></xref>). The average surface seawater CH<sub>4</sub> concentration was comparably high at 29.3 &#xb1; 19.8 nM. The average wind speed in May 2005 and 2019 from the meteorological platform was 5.0 &#xb1; 0.6 m/s. The sea-to-air CH<sub>4</sub> flux was 47.2 &#xb1; 34.3 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<p>In summer, the seawater temperature and salinity ranged from 27.0 to 30.8&#xb0;C and 33.62 to 34.20 (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), respectively. The seawater temperature gradually decreased with depth (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2O</bold></xref>), and low salinity values were observed near shore (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2P</bold></xref>). The <inline-formula>
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<mml:mrow>
<mml:mi>P</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula>
<mml:math display="inline" id="im12">
<mml:mrow>
<mml:mi>N</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> concentrations ranged from 0.09 to 0.49 &#x3bc;M and 0 to 4.7 &#x3bc;M (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), respectively. Chl <italic>a</italic> and DO concentrations ranged from 0.15 to 1.60 mg m<sup>-3</sup> and 185.0 to 209.4 &#x3bc;M (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), respectively. High nutrient and Chl <italic>a</italic> concentrations appeared nearshore (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2Q-S</bold></xref>) with low salinity (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2P</bold></xref>), which indicated freshwater input from the shore. CH<sub>4</sub> concentrations ranged from 5.0 to 58.5 nM (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), and high CH<sub>4</sub> concentrations were observed near the outlet of the ocean outfall pipe (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2U</bold></xref>). The average surface seawater CH<sub>4</sub> concentration was 21.8 &#xb1; 13.9 nM. The average wind speed in August between 2005 and 2019 from the meteorological platform was 5.0 &#xb1; 0.7 m/s. The sea-to-air CH<sub>4</sub> flux was 37.0 &#xb1; 26.2 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>One of the effective options for mitigating rapid climate change is to reduce CH<sub>4</sub> emissions due to its shorter lifetime than CO<sub>2</sub> (<xref ref-type="bibr" rid="B35">Shindell et&#xa0;al., 2012</xref>), which leads to an urgent need to understand the natural or anthropogenic factors influencing CH<sub>4</sub> concentrations and emissions. The aim of this research is to understand the seasonal variations and possible sources of CH<sub>4</sub> concentrations as well as their interaction with other environmental factors in a populous urban coastal sea area.</p>
<sec id="s4_1">
<title>Inputs from WWTP Effluents</title>
<p>Wastewater is a major anthropogenic source of CH<sub>4</sub> and one of the fastest growing sources of CH<sub>4</sub> emissions (<xref ref-type="bibr" rid="B25">Kirschke et&#xa0;al., 2013</xref>). According to the <xref ref-type="bibr" rid="B22">IPCC (2013)</xref>, the wastewater CH<sub>4</sub> emissions from 2000 to 2009 represented 22.7% of all anthropogenic CH<sub>4</sub> emissions. <xref ref-type="bibr" rid="B13">Du et&#xa0;al. (2018)</xref> reported that CH<sub>4</sub> emissions from wastewater in China increased from 1349.01 Gg in 2000 to 3430.03 Gg in 2014, and the highest proportion of emissions was from WWTPs. <xref ref-type="bibr" rid="B10">Cotovicz et&#xa0;al. (2016)</xref> found that high CH<sub>4</sub> concentrations could be sustained by allochthonous sources, such as sewage networks and polluted rivers, especially under high accumulated precipitation conditions. <xref ref-type="bibr" rid="B47">Yu et&#xa0;al. (2017)</xref> also pointed out that high CH<sub>4</sub> concentrations are frequently found in the water of urban drainage systems, composed of sewer systems, and WWTPs. According to <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>, CH<sub>4</sub> concentrations were high from the bottom to the surface water near station 11, where the outlet of the ocean outfall pipe of the WWTP was located. In addition, most of the water samples near the ocean outfall pipe of the WWTP did not follow the Redfield ratio (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>) and were high in surface CH<sub>4</sub> concentrations (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). Moreover, the highest CH<sub>4</sub> concentrations in the water column were found near the ocean outfall pipe of the WWTP (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2G, N, U</bold></xref>). The inputs from WWTP effluents contributed to the increase in the CH<sub>4</sub> concentrations in the study area. The average seasonal surface CH<sub>4</sub> concentrations were 13.7 &#xb1; 18.7, 29.3 &#xb1; 19.8, 21.8 &#xb1; 13.9 and 27.0 &#xb1; 21.4 nM in autumn, spring, summer and winter, respectively. If water samples near the ocean outfall pipe of the WWTP were excluded, the average seasonal surface CH<sub>4</sub> concentrations then became 9.6 &#xb1; 8.9, 21.5 &#xb1; 13.2, 18.0 &#xb1; 8.2 and 15.4 &#xb1; 9.1 nM in autumn, spring, summer and winter, respectively. This finding shows that approximately 17-43% of the surface CH<sub>4</sub> concentrations in the study area were influenced by the WWTP effluents. The average annual sea-to-air CH<sub>4</sub> flux was 56.5 &#xb1; 22.3 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> and reached 35.2 &#xb1; 8.4 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup> when excluding the water samples near the ocean outfall pipe of the WWTP. This result indicated that WWTP effluents influenced approximately one-third of the CH<sub>4</sub> emissions in the study area.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The DIN concentration (&#x3bc;M) versus PO<sub>4</sub> concentration (&#x3bc;M), obtained at 66 stations during four cruises from November 2019 to January 2021. &#x394; presents the data influenced by ocean outfall pipe of wastewater treatment plant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-843549-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>CH<sub>4</sub> (nM) distributions of the surface water in the Tamsui River estuary and its adjacent marine area in <bold>(A)</bold> autumn, <bold>(B)</bold> spring <bold>(C)</bold> summer and <bold>(D)</bold> winter. &#x394;: ocean outfall pipe of ocean outfall pipe of wastewater treatment plant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-843549-g004.tif"/>
</fig>
</sec>
<sec id="s4_2">
<title>Inputs From Freshwater</title>
<p>In addition to the inputs from WWTP effluents, freshwater also contributed to the CH<sub>4</sub> concentrations in the Tamsui River estuary adjacent marine area. The Tamsui River is a small mountain river with an average flow rate of approximately 210 m<sup>3</sup>/s. Although the Tamsui River transferred a comparably small amount of water mass to its adjacent marine areas, it brought high concentrations of CH<sub>4</sub> and nutrients. <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref> shows high concentrations of CH<sub>4</sub> and nutrients with slightly low salinity nearshore. Dissolved inorganic nitrogen (DIN) concentrations represented the nitrogen level in the water and were well&#xa0;correlated with CH<sub>4</sub> concentrations (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>). CH<sub>4</sub> and <inline-formula>
<mml:math display="inline" id="im14"> <mml:mrow>
<mml:mi>P</mml:mi>
<mml:msubsup>
<mml:mi>O</mml:mi>
<mml:mn>4</mml:mn>
<mml:mrow>
<mml:mn>3</mml:mn>
<mml:mo>&#x2212;</mml:mo>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> concentrations also showed a positive correlation (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>). According to <xref ref-type="bibr" rid="B28">Nijman et&#xa0;al. (2021)</xref>, nutrients increased methane-oxidizing bacterial (MOB) abundance and methane oxidation potential, while warming only increased MOB abundance without altering methane oxidation potential. Thus, the differences of seawater temperature might result in different linear regressions between wet and dry seasons (<xref ref-type="fig" rid="f5"><bold>Figures&#xa0;5A, B</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>CH<sub>4</sub> concentration (nM) versus <bold>(A)</bold> DIN (&#x3bc;M) <bold>(B)</bold> PO<sub>4</sub> (&#x3bc;M) in the dry season and in the wet season, obtained at 66 stations during four cruises from November 2019 to January 2021. &#x394; presents the data influenced by ocean outfall pipe of wastewater treatment plant, which has been excluded in the correlation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-843549-g005.tif"/>
</fig>
</sec>
<sec id="s4_3">
<title>CH<sub>4</sub> Emissions From Sediment</title>
<p>Seasonal variations of CH<sub>4</sub> concentration in the Tamsui River ranged between 362 and 2961nM (unpublished data). Rivers brought high concentrations of CH<sub>4</sub> and organic matter to coastal water (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B49">Zhang et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B39">Tseng et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B37">Sun et&#xa0;al., 2018</xref>). Coastal sediment which is rich in organic matter has been proposed to be the origin of CH<sub>4</sub> (<xref ref-type="bibr" rid="B5">Borges and Abril, 2011</xref>; <xref ref-type="bibr" rid="B39">Tseng et&#xa0;al., 2017</xref>). In addition, high CH<sub>4</sub> concentrations are frequently attributed to sedimentary methanogenesis in coastal environments (<xref ref-type="bibr" rid="B1">Bange, 2006</xref>; <xref ref-type="bibr" rid="B50">Zhou et&#xa0;al., 2009</xref>), especially in shallower waters. <xref ref-type="bibr" rid="B7">Borges et&#xa0;al. (2018)</xref> also found a seasonal peak of CH<sub>4</sub> in the nearshore and shallow seep areas in the Belgian coastal zone during summer, which was related to sediment organic matter content. <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref> shows that CH<sub>4</sub> concentrations in the bottom water gradually decreased with the bottom depth. This result might be related to low abundance of methanotrophs in shallow coastal zones so more CH<sub>4</sub> seeps escaping from the sediment and higher CH<sub>4</sub> concentrations in the bottom water (<xref ref-type="bibr" rid="B8">Broman et&#xa0;al., 2020</xref>). According to our results, the CH<sub>4</sub> concentration in the bottom water did not influenced by the sediment input when the depth deeper than 90m. This might be due to CH<sub>4</sub> oxidized in the sediment before it released to the bottom water. According to the Sewerage Systems Office of the Public Works Department of the Taipei City Government, the ocean outfall pipe of a WWTP extends from shore, and its diffuser tubes are at water depths between 30 m and 40 m. Samples in the bottom water near the diffuser tubes were high in CH<sub>4</sub> concentrations (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The annual average bottom water CH<sub>4</sub> concentrations (nM) versus bottom depths (m), obtained at 62 stations during four cruises from November 2019 to January 2021. &#x394; presents the data influenced by ocean outfall pipe of wastewater treatment plant, which has been excluded in the correlation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-843549-g006.tif"/>
</fig>
</sec>
<sec id="s4_4">
<title>Seasonal Variations in CH<sub>4</sub> and Sea-to-Air CH<sub>4</sub> Fluxes</title>
<p>Except for four individual observations in autumn, the surface water was supersaturated in CH<sub>4</sub> with respect to the atmosphere at most stations in the Tamsui River estuary adjacent marine area during the four cruises, which indicated that the study area was a net source of atmospheric CH<sub>4</sub>. The average surface seawater CH<sub>4</sub> concentration varied between 13.7 and 29.3 nM (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The average surface seawater CH<sub>4</sub> concentrations were higher in spring, summer and winter (29.3, 21.8 and 27.0 nM) and lower in autumn (13.7 nM). In spring and summer (wet seasons), river discharge was more due to high precipitation and brought high concentrations of nutrients and CH<sub>4</sub> from land to sea. In addition, relatively strong vertical mixing and disturbances might bring high CH<sub>4</sub> concentrations from the bottom to the surface water in winter.</p>
<p>
<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref> shows the average 15-year (2005-2019) monthly wind speed from the meteorological platform. In autumn, low river discharge and the wind speed was just picking up after October so the vertical mixing was relatively weak comparing with that in winter, which resulted in the lowest average surface seawater CH<sub>4</sub> concentrations. The wind speeds were higher in autumn and winter than in spring and summer (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The sea-to-air CH<sub>4</sub> flux variability was within the range of -3.0&#x2013;308.9 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup>. The average sea-to-air CH<sub>4</sub> flux was the highest in winter (90.4 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup>), followed by spring and autumn (47.2 and 46.3 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup>) and was lowest in summer (37.0 &#x3bc;mol m<sup>-2</sup> d<sup>-1</sup>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>The average 15-year (2005-2019) monthly wind speed at a height of approximately 15 m above the sea surface from the meteorological platform.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-843549-g007.tif"/>
</fig>
<p>When compared globally, the Scheldt estuary in the North Sea has the highest surface CH<sub>4</sub> concentrations in its adjacent marine area, followed by the Tamsui River, Changjiang, and Pearl River (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). In regard to the sea-to-air CH<sub>4</sub> fluxes, the adjacent marine areas of Scheldt and Tamsui River are the highest. Extremely high CH<sub>4</sub> was observed near the Scheldt estuary adjacent marine area due to gassy sediments (<xref ref-type="bibr" rid="B6">Borges et&#xa0;al., 2016</xref>), and its emission may be increased when the ocean warms (<xref ref-type="bibr" rid="B7">Borges et&#xa0;al., 2018</xref>). Furthermore, inputs from WWTP effluents increased CH<sub>4</sub> concentrations in the Tamsui River estuary adjacent marine area, and this situation may be worsened when the population grows.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Compilation of surface CH<sub>4</sub> concentrations, saturations and fluxes from the several estuaries and their adjacent marine areas.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Area</th>
<th valign="top" align="center">Regional Sea</th>
<th valign="top" align="center">Sampling Date</th>
<th valign="top" align="center">n</th>
<th valign="top" align="center">Salinity</th>
<th valign="top" align="center">CH<sub>4</sub> concentrations(nM)</th>
<th valign="top" align="center">CH<sub>4</sub> saturation(%)</th>
<th valign="top" align="center">Wind speed (m s<sup>-1</sup>)</th>
<th valign="top" align="center">Sea-to-airCH<sub>4</sub> fluxes (&#x3bc;mol m<sup>-2</sup> d<sup>-1</sup>)</th>
<th valign="top" align="center">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Scheldt estuary adjacent marine area</td>
<td valign="top" align="left">North sea</td>
<td valign="top" align="left">2016 monthly</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">30.5-34.2</td>
<td valign="top" align="char" char="&#xb1;">47.4 &#xb1; 44.5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5.5 &#xb1; 2.1<xref ref-type="table-fn" rid="fnT3_1"><sup>a</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">60 &#xb1; 112<xref ref-type="table-fn" rid="fnT3_5"><sup>e</sup></xref>
</td>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B7">Borges et&#xa0;al., 2018</xref>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">May 2011</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">S&lt;30</td>
<td valign="top" align="char" char="&#xb1;">12.6 &#xb1; 8.1</td>
<td valign="top" align="char" char="&#xb1;">505 &#xb1; 323</td>
<td valign="top" align="center">5.0 &#xb1; 3.6<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">20.2 &#xb1; 22.7<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Aug. 2011</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">10.4 &#xb1; 7.7</td>
<td valign="top" align="char" char="&#xb1;">480 &#xb1; 356</td>
<td valign="top" align="center">5.8 &#xb1; 1.7<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">21.7 &#xb1; 28.0<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Oct. 2011</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">8.9 &#xb1; 6.5</td>
<td valign="top" align="char" char="&#xb1;">371 &#xb1; 264</td>
<td valign="top" align="center">7.1 &#xb1; 2.3<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">27.5 &#xb1; 33.6<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Mar. 2011</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">S&gt;30</td>
<td valign="top" align="char" char="&#xb1;">4.6 &#xb1; 4.4</td>
<td valign="top" align="char" char="&#xb1;">161 &#xb1; 149</td>
<td valign="top" align="center">7.6 &#xb1; 3.8<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">4.33 &#xb1; 8.86<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" rowspan="2" align="left">
<xref ref-type="bibr" rid="B37">Sun et&#xa0;al., 2018</xref>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">May 2011</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">5.2 &#xb1; 4.4</td>
<td valign="top" align="char" char="&#xb1;">218 &#xb1; 179</td>
<td valign="top" align="center">8.4 &#xb1; 3.9<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">13.4 &#xb1; 28.6<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Changjiang estuary and its adjacent marine area</td>
<td valign="top" rowspan="3" align="left">East China Sea</td>
<td valign="top" align="left">Aug. 2011</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">6.0 &#xb1; 1.8</td>
<td valign="top" align="char" char="&#xb1;">289 &#xb1; 90</td>
<td valign="top" align="center">6.2 &#xb1; 1.5<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">11.6 &#xb1; 7.57<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Oct. 2011</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center"/>
<td valign="top" align="center">4.7 &#xb1; 1.1</td>
<td valign="top" align="char" char="&#xb1;">216 &#xb1; 48</td>
<td valign="top" align="center">7.4 &#xb1; 3.0<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">10.7 &#xb1; 8.26<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Dec. 2011</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">4.3 &#xb1; 1.2</td>
<td valign="top" align="char" char="&#xb1;">174 &#xb1; 41</td>
<td valign="top" align="center">8.7 &#xb1; 2.8<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">9.34 &#xb1; 7.96<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">May 2002</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">S&gt;30</td>
<td valign="top" align="char" char="&#xb1;">5.05 &#xb1; 2.49</td>
<td valign="top" align="char" char="&#xb1;">216 &#xb1; 101</td>
<td valign="top" align="center">4.9 &#xb1; 1.8<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">5.8 &#xb1; 7.3<xref ref-type="table-fn" rid="fnT3_5"><sup>e</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">June 2006</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">6.22 &#xb1; 3.52</td>
<td valign="top" align="center">289 &#xb1; 180</td>
<td valign="top" align="center">6.8<xref ref-type="table-fn" rid="fnT3_3"><sup>c</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">18.1 &#xb1; 17.1<xref ref-type="table-fn" rid="fnT3_5"><sup>e</sup></xref>
</td>
<td valign="top" rowspan="3" align="left">
<xref ref-type="bibr" rid="B49">Zhang et&#xa0;al., 2008</xref>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Aug. 2005</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">6.85 &#xb1; 3.77</td>
<td valign="top" align="center">348 &#xb1; 187</td>
<td valign="top" align="center">7.6<xref ref-type="table-fn" rid="fnT3_3"><sup>c</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">26.2 &#xb1; 23.1<xref ref-type="table-fn" rid="fnT3_5"><sup>e</sup></xref>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Oct. 2006</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">7.09 &#xb1; 3.62</td>
<td valign="top" align="center">350 &#xb1; 179</td>
<td valign="top" align="center">5.9 &#xb1; 2.5<xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">14.4 &#xb1; 12.0<xref ref-type="table-fn" rid="fnT3_5"><sup>e</sup></xref>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Nov. 2002</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center"/>
<td valign="top" align="char" char="&#xb1;">3.53 &#xb1; 0.68</td>
<td valign="top" align="char" char="&#xb1;">161 &#xb1; 32</td>
<td valign="top" align="center">7.6<xref ref-type="table-fn" rid="fnT3_3"><sup>c</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">7.3 &#xb1; 3.8<xref ref-type="table-fn" rid="fnT3_5"><sup>e</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Pearl River estuary adjacent marine area</td>
<td valign="top" rowspan="2" align="left">South China Sea</td>
<td valign="top" align="left">Sep. 2003</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">33.68 &#xb1; 0.24</td>
<td valign="top" align="char" char="&#xb1;">4.4 &#xb1; 2.2</td>
<td valign="top" align="center">233 &#xb1; 115</td>
<td valign="top" align="center">6.73<xref ref-type="table-fn" rid="fnT3_4"><sup>d</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">8.3 &#xb1; 7.2<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" rowspan="2" align="left">
<xref ref-type="bibr" rid="B39">Tseng et&#xa0;al., 2017</xref>
</td>
</tr>
<tr>
<td valign="top" align="left">Jul. 2005</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">32.54 &#xb1; 1.35</td>
<td valign="top" align="char" char="&#xb1;">6.2 &#xb1; 1.5</td>
<td valign="top" align="char" char="&#xb1;">323 &#xb1; 75</td>
<td valign="top" align="center">6.73<xref ref-type="table-fn" rid="fnT3_4"><sup>d</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">14.5 &#xb1; 4.9<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Nov. 2019</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">33.63 &#xb1; 0.10</td>
<td valign="top" align="char" char="&#xb1;">13.7 &#xb1; 18.7</td>
<td valign="top" align="char" char="&#xb1;">615 &#xb1; 840</td>
<td valign="top" align="center">7.9 &#xb1; 0.8<xref ref-type="table-fn" rid="fnT3_3"><sup>c</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">46.3 &#xb1; 75.4<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Tamsui River estuary adjacent marine area</td>
<td valign="top" rowspan="2" align="left">Taiwan Strait</td>
<td valign="top" align="left">May 2020</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">33.71 &#xb1; 0.78</td>
<td valign="top" align="char" char="&#xb1;">29.3 &#xb1; 19.8</td>
<td valign="top" align="center">1383 &#xb1; 930</td>
<td valign="top" align="center">5.0 &#xb1; 0.6<xref ref-type="table-fn" rid="fnT3_3"><sup>c</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">47.2 &#xb1; 34.3<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" rowspan="2" align="left">This study</td>
</tr>
<tr>
<td valign="top" align="left">Aug. 2020</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">33.89 &#xb1; 0.16</td>
<td valign="top" align="char" char="&#xb1;">21.8 &#xb1; 13.9</td>
<td valign="top" align="center">1095 &#xb1; 702</td>
<td valign="top" align="center">5.0 &#xb1; 0.7<xref ref-type="table-fn" rid="fnT3_3"><sup>c</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">37.0 &#xb1; 26.2<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Jan. 2021</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">33.75 &#xb1; 0.53</td>
<td valign="top" align="char" char="&#xb1;">27.0 &#xb1; 21.4</td>
<td valign="top" align="center">1104 &#xb1; 878</td>
<td valign="top" align="center">8.0 &#xb1; 0.8<xref ref-type="table-fn" rid="fnT3_3"><sup>c</sup></xref>
</td>
<td valign="top" align="char" char="&#xb1;">90.4 &#xb1; 79.3<xref ref-type="table-fn" rid="fnT3_6"><sup>f</sup></xref>
</td>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT3_1">
<label>a</label>
<p>Wind speed from the Westhinder Platform in the Belgian Coastal Zone.</p>
</fn>
<fn id="fnT3_2">
<label>b</label>
<p>Wind speed from the ship based in situ wind speeds.</p>
</fn>
<fn id="fnT3_3">
<label>c</label>
<p>Averaged monthly wind speeds obtained from the weather monitoring station.</p>
</fn>
<fn id="fnT3_4">
<label>d</label>
<p>Average monthly wind speeds were from the National Aeronautics and Space Administration (NASA) QuikSCAT satellite platform.</p>
</fn>
<fn id="fnT3_5">
<label>e</label>
<p>Fluxes were calculated by <xref ref-type="bibr" rid="B42">Wanninkhof (1992)</xref> equation.</p>
</fn>
<fn id="fnT3_6">
<label>f</label>
<p>Fluxes were calculated by <xref ref-type="bibr" rid="B43">Wanninkhof (2014)</xref> equation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>In this study, we characterized the spatial distribution and seasonal variations in CH<sub>4</sub> in the Tamsui River estuary adjacent marine area as well as estimated sea-to-air CH<sub>4</sub> fluxes to quantify the strength of the study area as an atmospheric CH<sub>4</sub> source. The Tamsui River estuary adjacent marine area were active sites for CH<sub>4</sub> emissions. Our research results showed that CH<sub>4</sub> concentrations in coastal areas were influenced by WWTP effluents, sediment and freshwater inputs. In addition, CH<sub>4</sub> concentrations increased with the nutrient levels. Moreover, strong vertical mixing and disturbances might also increase CH<sub>4</sub> emissions, especially in coastal areas.</p>
<p>Climate change may increase precipitation in tropical/subtropical areas and transfer more nutrients and organic matter from land to ocean. Extreme weather events, such as typhoons and cyclones, can increase CH<sub>4</sub> emissions in coastal areas due to sediment disturbance. Anthropogenic conditions, such as high coastal populations, sewage, and WWTP effluents, also influence coastal CH<sub>4</sub> emissions. Escalating a feedback loop continues to circle between greenhouse gas emissions and climate change might increase extreme weather events. Nevertheless, preventing unthinkable events from happening takes tremendous time and effort. Accelerating the process from the root through scientific findings that identifying possible CH<sub>4</sub> sources is the pivotal information required to mitigate the crisis in time.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>H-CT and G-CG co-developed the idea of the study. H-CT leaded the research cruises and did the sampling. C-CL, H-JP, and YTYH did the sampling and data analysis. H-CT wrote the&#xa0;first draft of the article and all authors contributed equally to the interpretation of the results and in writing the final manuscript.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This research was supported by Ministry of Science and Technology of the ROC, Taiwan (MOST 108-2611-M-019-021-MY3).</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="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors wish to thank the Ministry of Science and Technology of the ROC, Taiwan for supporting this research, and the captain and crews of Ocean Researcher 2 and New Ocean Researcher 2 for their assistance.</p>
</ack>
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