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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.2023.1073054</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>The sources and transport pathways of sediment in the northern Ninety-east Ridge of the India Ocean over the last 35000 years</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Cai</surname>
<given-names>Zhourong</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1993472"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Qianru</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2015798"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yin</surname>
<given-names>Zhengxin</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1491557"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Xiaofeng</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="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Liang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1989822"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Meng</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Marine Sciences, Sun Yat-sen University</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Southern Laboratory of Ocean Science and Engineering (Zhuhai)</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>South China Sea Marine Survey and Technology Center, State Oceanic Administration</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Zhiyu Liu, Xiamen University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Xing Jian, Xiamen University, China; Jingrui Li, Qingdao National Laboratory for Marine Science and Technology, China; Zhongbo Wang, Shantou University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zhengxin Yin, <email xlink:href="mailto:yinzhengxin777@163.com">yinzhengxin777@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Physical Oceanography, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1073054</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Cai, Huang, Yin, Huang, Chen and Tang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Cai, Huang, Yin, Huang, Chen and Tang</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>The Ninety-east Ridge (NER) is located in the southern Bay of Bengal in the northeast Indian Ocean and is composed of pelagic and hemipelagic sediments. In addition to contributions from marine biomass, the ridge also contains terrestrially sourced sedimentary material. However, considerable disagreement remains regarding the origin of these terrestrial materials and transport pathways. This paper discusses the collection of seafloor surface sediments and three sediment cores recovered from the northern region of the NER, as well as the analysis of clay minerals, Sr-Nd isotopes, and sediment grain size. The ages of the three core sediments are constrained by AMS <sup>14</sup>C dating to better establish the source and transport pathways of the terrestrial materials within NER sediments over the past 35000 years. The research results show that the Qinghai-Tibet Plateau is the predominate source of terrigenous sedimentary material in the NER. In the plateau, the crustal materials were weathered and stripped and then transported to the Andaman Sea <italic>via</italic> the Irrawaddy River. From there, the material was transported westward by monsoon-driven circulation to the northernmost part of the NER before being transported to the south for final deposition. This transport mode has changed little over the past 35000 years. However, during the rapidly changing climate of the Younger Dryas (12.9~11.5 ka BP), there were some variations in the input amount, grain size, and Sr-Nd isotope value of the source material. The above conclusions are significant for re-evaluating the source of terrigenous sediments, the temporal and spatial changes in transport modes, and the sensitivity of the NER to climatic shifts.</p>
</abstract>
<kwd-group>
<kwd>Ninety-east Ridge</kwd>
<kwd>Bay of Bengal</kwd>
<kwd>provenance analysis</kwd>
<kwd>transport mode</kwd>
<kwd>northeast Indian Ocean</kwd>
<kwd>Sr-Nd isotope</kwd>
</kwd-group>
<contract-num rid="cn001">41206035</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="8"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="67"/>
<page-count count="14"/>
<word-count count="6253"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The collision between the Indian and Eurasian plates and the resulting uplift of the Qinghai-Tibet Plateau are among the most important geological events affecting the global climate and environmental change since the Cenozoic era began (<xref ref-type="bibr" rid="B27">Hall, 2002</xref>; <xref ref-type="bibr" rid="B10">Clark et&#xa0;al., 2005</xref>). The uplift process produced a large volume of sediment <italic>via</italic> weathering and denudation of the landscape. The transportation and deposition of the resultant terrigenous materials into the ocean. This is considered a result of these &#x201c;source-sink&#x201d; interactions. The NER in the northeast Indian Ocean is located in the south of the Bay of Bengal. Its pelagic sediments contain records of past rapid palaeoceanographic and palaeoclimatological changes and constitute the sedimentary response of the source-sink process initiated by the uplift of the Qinghai-Tibet Plateau. The NER has important significance in the fields of environmental science, climatology, and geology.</p>
<p>The Bay of Bengal is a semi-enclosed ocean basin bounded at three sides by land and is open at the south, where it is connected to the Indian Ocean. Previous studies have suggested that the seasonally reversing monsoon currents (southwest in June&#x2013;September and northeast in December&#x2013;February) plays an important role in sediment and water exchange in the Bay of Bengal and the northern Indian Ocean (<xref ref-type="bibr" rid="B51">Schott and McCreary, 2001</xref>; <xref ref-type="bibr" rid="B53">Shankar et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B18">Durand et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B52">Scott and Xu, 2009</xref>; <xref ref-type="bibr" rid="B61">Webber et&#xa0;al., 2018</xref>), and the change of the current is also studied by numerical simulation (<xref ref-type="bibr" rid="B49">Prakash and Pant, 2019</xref>; <xref ref-type="bibr" rid="B1">Agarwal et&#xa0;al., 2022</xref>). In addition, the Bay of Bengal is well-fed with a large volume of freshwater flux from several rivers. Therefore, Large amount of sediment can be transported to the southern Bay of Bengal through currents, tidal and wind waves, and formed the largest sedimentary fan in the world (<xref ref-type="bibr" rid="B12">Curray et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B63">Weber et&#xa0;al., 2003</xref>).</p>
<p>The sediments of the NER, to the south of the Bengal fan, are mainly pelagic and hemipelagic, have a low rate of sedimentation and are less likely to be influenced by turbidity and contour current (<xref ref-type="bibr" rid="B64">Wei et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B25">Gopalakrishnan et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B26">Govil et&#xa0;al., 2022</xref>). The sediment composition differs from that of the Bengal fan, which is dominated by marine biomass and terrestrial materials. It is generally understood that the terrestrial material of the NER should have come from the Bengal fan to the north, but is this really the case? Controversies remain regarding the provenance and transport route of the terrestrial materials in the NER (<xref ref-type="bibr" rid="B6">Bastia et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B31">Joussain et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B36">Li et&#xa0;al., 2017</xref>). Terrigenous materials are an important part of marine sediments and can be transported to the sea <italic>via</italic> mechanisms such as rivers and ocean currents. If the terrigenous material from the Himalayas cannot reach the NER through the Bengal Fan, does the terrigenous material of the NER come from the Qinghai-Tibet Plateau, and if so, what is the mode of transport? The clay mineral composition, particle size and radioisotope composition of the sediments can reflect their provenance, and the sedimentary source and transport route can be determined from that information (<xref ref-type="bibr" rid="B44">McLennan, 1989</xref>). This study attempts to identify the source and transport route of terrestrial sediments in the northern portion of the NER based on the clay mineralogy, Sr-Nd isotopes, grain size and the AMS <sup>14</sup>C of 77 seafloor surface sediments and three sediment cores recovered from the region. Additionally, this paper discusses the spatial and temporal variability recorded by the sediments over the past 35000 years. These results will provide an important reference for future studies of the marine palaeoenvironment, climate change and the relationship between the two and the Qinghai-Tibet Plateau.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Geological and oceanographic setting</title>
<p>The NER is located in the northeast Indian Ocean and is named after a series of seamount chains along the 90&#xb0; E longitude line (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The ridge is about 5,000 km long from north to south and 185 - 450 km wide from east to west. It is 1,000 to 3,500 meters above the ocean floor and lies 2,000 to 2,500 meters below the surface of the sea (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). The NER is bounded by the Bengal Fan to the north, the Andaman Sea to the east, and Sri Lanka to the west. According to the 22 and 26 voyages data of the Deep Sea Drilling Program (DSDP) and the paleomagnetic data, the NER is the product of the Kerguelen hotspot during the late Cretaceous period when the Indian plate was rapidly drifting northward (<xref ref-type="bibr" rid="B47">Peirce, 1968</xref>; <xref ref-type="bibr" rid="B13">Curray et&#xa0;al., 1982</xref>). The Ar<sup>40</sup>/Ar<sup>39</sup> dating data show that the formation age of NER decreases from north to south from 84 Ma to 37 Ma, which indirectly supports the conclusion that the ridge originates from hotspots (<xref ref-type="bibr" rid="B50">Pringle et&#xa0;al., 2002</xref>). The bottom of the NER is basalt, and its upper part is composed of calcareous ooze of pelagic and semi-pelagic pelagic deposits, as well as some terrestrial materials.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Location of the study area <bold>(A)</bold>, the source material of Bengal fan <bold>(B)</bold> and sample distribution <bold>(C)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1073054-g001.tif"/>
</fig>
<p>The Bengal fan to the north of the NER is located at the eastern margin of the Indian plate, which is a collisional subduction zone where the Indian plate is subducted to the Eurasian plate (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The Bengal fan belongs to a semi-closed marine environment and is the largest sedimentary fan in the world. It extends from 20&#xb0;N to 10&#xb0;S, is nearly 3,000 km long, 1,500 km wide, and covers an area of about 3&#xd7;10<sup>6</sup>km<sup>2</sup>. The water depth of the Bengal fan is 2000-4000 meters, it is deeper in the south, and the sediment thickness in the south is more than 10,000 meters (<xref ref-type="bibr" rid="B56">Stow, 1990</xref>). The fan sediments mainly come from the Himalayas and the Qinghai-Tibet Plateau and are transported through the Ganges River, the Yarlung Zangbo River, the Irrawaddy River, etc (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Turbidite deposition is apparent, and the provenance and transportation pathways of the sediments within the fan remains relatively constant (<xref ref-type="bibr" rid="B19">Fang et&#xa0;al., 2001</xref>, <xref ref-type="bibr" rid="B20">Fang et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B48">Phillips et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B5">Banerjee, 2018</xref>).</p>
</sec>
<sec id="s3" sec-type="materials|methods">
<label>3</label>
<title>Materials and methods</title>
<sec id="s3_1">
<label>3.1</label>
<title>Sample source</title>
<p>77 surface sediment samples and three core samples, A6, A28 and A34, were used in this analysis. The samples were recovered from the NER during the 2019 and 2020 voyages of the South China Sea Bureau of the Ministry of Natural Resources (see <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> for the locations of the sampling points).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Particle size analyses</title>
<p>Particle size analyses were conducted on the three core samples. The pretreatment process was as follows: an appropriate amount of sediment was extracted every 1 cm downcore, 15 ml of 30% hydrogen peroxide was added, and the samples were allowed to stand for 24 h to remove any organic matter. Once the reaction was complete, approximately 5 ml of 3 M HCl were added to the samples which were then left for 24 h to acidify carbonate material. After the reaction was completed, the samples were centrifuged and then sonicated to mix the remaining sedimentary particles. Grain size was then measured in the School of Marine Science, Sun Yat-sen University by a Beckman Coulter (LS13320) laser diffraction particle size analyser with an analytical range of 0.4-2000 &#xb5;m. The relative error of repeated measurements was less than 3%.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Sr-Nd isotope analysis</title>
<p>The Sr-Nd isotopes were measured from all of the 77 surface samples and the three sediment cores. After drying, grinding and sieving, the samples were sent to Nanjing FocuMS Technology Co. Ltd. for measurement of the Sr-Nd isotopic ratios. The organic carbon and carbonate in the sediments were removed by H<sub>2</sub>O<sub>2</sub> and acetic acid, and then the samples were digested with concentrated HNO<sub>3</sub> and HF. The sample solution was eluted by a Biorad AG50W-X8 cation exchange column, then the matrix elements and Rb were removed by 2.0mol/L HCl, then the Sr components were received by leaching with 2.5mol/L HCl, and finally the total rare earth components were received by leaching with 6.0mol/L HCl. The SR component of the previous step was further purified by SR special resin. In the purification of Nd, Sm and Nd were separated by LN exchange column. The internal calibration ratios used for mass fractionation during the analysis were, <sup>86</sup>Sr/<sup>88</sup>Sr = 0.1194 and <sup>146</sup>Nd/<sup>144</sup>Nd = 0.7219. NIST SRM 987 and Nd isotope JNDI-1 were used as external calibration standards to account for instrument drift.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Clay mineral analysis</title>
<p>Qualitative tests of clay minerals were carried out on the sediments of A6, A28 and A34 at different downcore depths. Pretreatment before testing was done according to the following procedure (<xref ref-type="bibr" rid="B40">Liu et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B58">Trentesaux et&#xa0;al., 2003</xref>). To separate and extract the clay minerals, first dry a sample of the sediment, add a specific proportion of distilled water for soaking and rinsing, let stand, and remove the supernatant. Next add more distilled water, stir to suspend the sediment, let stand, and get a certain volume of the suspension. Due to the low clay mineral content of the samples, repeat the extraction process as needed. Once the suspension settles and the supernatant is removed, the remaining mud is the clay material needed for the analysis. Transfer the mud into the drying oven at 60 &#xb0;C for 12 h. Once dry, grind the sample into a powder. Finally, sift the samples through a 2 &#x3bc;M sieve to concentrate the clay minerals. Saturate the samples with ethylene glycol for 24 hours at room temperature. Then heat the samples at 490&#xb0;C for 2 h. Once the samples had been properly prepared, they were subjected to three X-ray powder diffraction (XRD) runs. XRD patterns were obtained using a d/max 2500 PC diffractometer with CuK radiation at a voltage of 40 kV and a current intensity of 100 Ma. Diffraction patterns (2&#x3b8;) were scanned from 5&#xb0; to 30&#xb0; in steps of 0.02&#xb0;. The mineral composition was identified by jade software and the PDF2 database.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>AMS <sup>14</sup>C analysis</title>
<p>Accelerator mass spectrometry (AMS) <sup>14</sup>C dating analyses for the three sediment cores were done in the Beta laboratory, and the results were corrected for &#x3b4;<sup>13</sup>C fractionation to obtain the conventional radiocarbon age. The experimental process was as follows: Appropriate amount of sediment samples were placed in a clean beaker, dried at 50&#xb0;C, appropriate amount of mill - Q water was added, and the samples were fully soaked to disperse completely. Then transfer the sediment samples to a 63 &#x3bc;m stainless steel sieve and rinse samples under distilled water. Brush lightly with a brush until the sample is completely rinsed. Transfer the remaining sample in the sieve to a small beaker for drying and weighing. The uniform size of the foraminiferan G. menardii shells were selected under a solid microscope, and 3% H<sub>2</sub>O<sub>2</sub> was added to remove the organic matter. After ultrasound, the turbidities were removed and the samples were dried. Finally, the G. menardii shell was collected into the plastic pipe and was performed <sup>14</sup>C dating on Ac &#x2043; celerator Mass Spectrometry (AMS) in Beta laboratory. The conventional radiocarbon ages were then calibrated with CALIB 7.2 software using a marine calibration curve to account for the marine reservoir effect (<xref ref-type="bibr" rid="B41">Liu et&#xa0;al., 2016a</xref>) and to convert the ages into the correct calendar age.</p>
</sec>
</sec>
<sec id="s4" sec-type="results">
<label>4</label>
<title>Results and analysis</title>
<sec id="s4_1">
<label>4.1</label>
<title>Particle size analysis</title>
<p>We analysed the lithology of three sediment cores by particle size analyse experiments (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The sediment composition and particle size variability over core depth for A6, A28 and A34 cores.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1073054-g002.tif"/>
</fig>
<p>Core A6: The core is about 28 cm long. The colour of the sediment core is black from 1-2 cm, brown from 2 ~ 17 cm and gradually transitioning to black from 17 ~ 28 cm. The particle size measurement results show that the median particle size of the core varies from 6 to 48 &#x3bc;m, and the mean particle size is from 21.2 to 70.6 &#x3bc;m. The sediment composition of the core is clay and silty mudstone with clay minerals (&lt;4 &#x3bc;m) and silty sand (4 ~ 63 &#x3bc;m) were 26.4% and 54.5%, respectively. The proportion of sand is less, the average content with sand size (&gt; 63 &#x3bc;m) is 19.1%. The proportion of clay minerals decreased gradually from the bottom to the top of the core, while the sandy sediment showed an increasing trend. The average and median particle size suddenly increased at a depth of 9 ~ 10 cm (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<p>Core A28: The core is about 45 cm long. The colour of the sediment core is white with a little black mixed in 1 ~ 3 cm, black on top and gradually lightened down to brown in 3 ~ 45 cm. The median particle size of the core is 21.4 ~ 73.6 &#x3bc;m, and the mean particle size is 39.6 ~ 96.1 &#x3bc;m. The sediment composition of the core is clay and silty mudstone with clay minerals (&lt; 4 &#x3bc;m) and silty sand (4 ~ 63 &#x3bc;m) are 11.5% and 50.8%, respectively. The proportion of sand is larger than that of clay, and the average content with sand size (&gt; 63 &#x3bc;m) is about 37.7%. The proportion of clay minerals increases gradually from the bottom to the top of the core, while the proportion of sandy sediments decreases.</p>
<p>Core A34: The core is about 40cm long. The colour of the sediment core is dark grey in 1 ~ 9 cm and brown in 9 ~ 40 cm. The median particle size of the core ranges from 5.1 to 10.3 &#x3bc;m, and the mean particle size varies from 15.1 to 48.1 &#x3bc;m. The sediment composition of the core is clay and silty mudstone with clay minerals (&lt; 4 &#x3bc;m) and silty sand (4 ~ 63 &#x3bc;m) are 36.1% and 51.9%, respectively. The proportion of sand is less than that of clay, the average content with sand size (&gt; 63 &#x3bc;m) is about 20%. The proportion of clay minerals in the core increases gradually from the bottom to the top of the core, while the proportion of sandy sediment decreases. The core contains a sudden increase in average and median particle size at a depth of 28 ~ 29 cm.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Sr-Nd isotopes and clay minerals</title>
<p>The Sr-Nd isotopic ratios for the 77 surface samples from the study area (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, the duplicate sites in this table are two groups of parallel data, and the first data is used in mapping) show that the <sup>87</sup>Sr/<sup>86</sup>Sr value ranges from 0.70919 to 0.71042, with an average value of 0.70951. This is close to the Sr isotope ratio of seawater (0.70924) and higher than the 0.7025 Sr isotope value for MORB (mid-ocean ridge basalt) (<xref ref-type="bibr" rid="B24">Goldstein et&#xa0;al., 1988</xref>). <sup>144</sup>Nd/<sup>143</sup>Nd values ranged from 0.512042 to 0.512270, with an average of 0.512165, corresponding to &#x3f5; Nd values. The &#x3f5; Nd value varies from -11.631990 to -7.172703, with an average value of -9.238031, which is similar to that in the Indian Ocean &#x3f5; Nd (- 7 ~ - 9) (<xref ref-type="bibr" rid="B15">Deng et&#xa0;al., 2012</xref>). Overall, the changes in isotopic ratios occur within a small range, with a positive (<sup>87</sup>Sr/<sup>86</sup>Sr) value and a negative &#x3f5; Nd value.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary statistics for Sr-Nd isotope ratios of surface samples of the northern NER and compared adjacent regions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Areas</th>
<th valign="middle" align="center">Statistics</th>
<th valign="middle" align="center">
<sup>87</sup>Sr/<sup>86</sup>Sr</th>
<th valign="middle" colspan="2" align="center">
<sup>143</sup>Nd/<sup>144</sup>Nd</th>
<th valign="middle" align="center">&#x3f5;Nd</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>NER</bold> (This paper)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="middle" align="center">77</td>
<td valign="middle" colspan="2" align="center">77</td>
<td valign="middle" align="center">77</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="middle" align="center">0.7091881</td>
<td valign="middle" colspan="2" align="center">0.512042</td>
<td valign="middle" align="center">-11.6319898</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="middle" align="center">0.7104238</td>
<td valign="middle" colspan="2" align="center">0.512270</td>
<td valign="middle" align="center">-7.1727027</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="middle" align="center">0.7095103</td>
<td valign="middle" colspan="2" align="center">0.5121645</td>
<td valign="middle" align="center">-9.2380319</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="middle" align="center">0.0003168</td>
<td valign="middle" colspan="2" align="center">0.0000489</td>
<td valign="middle" align="center">0.9540171</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>UCC</bold> (<xref ref-type="bibr" rid="B17">DePaolo, 1988</xref>)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" colspan="2" align="center">0.5119</td>
<td valign="middle" align="center">&lt; - 6</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Northern of Bay of Bengal</bold> (<xref ref-type="bibr" rid="B11">Colin et&#xa0;al., 1999</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="top" align="center">6</td>
<td valign="top" colspan="2" align="center">6</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="top" align="center">0.71453</td>
<td valign="top" colspan="2" align="center">0.511981</td>
<td valign="top" align="center">-12.8</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="top" align="center">0.72587</td>
<td valign="top" colspan="2" align="center">0.512277</td>
<td valign="top" align="center">-7</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="top" align="center">0.72011</td>
<td valign="top" colspan="2" align="center">0.512102</td>
<td valign="top" align="center">-10.45</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="top" align="center">0.0038778</td>
<td valign="top" colspan="2" align="center">0.0001061</td>
<td valign="top" align="center">2.0750502</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Western of Bay of Bengal</bold> (<xref ref-type="bibr" rid="B11">Colin et&#xa0;al., 1999</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="top" align="center">4</td>
<td valign="top" colspan="2" align="center">4</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="top" align="center">0.72305</td>
<td valign="top" colspan="2" align="center">0.511809</td>
<td valign="top" align="center">-16.2</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="top" align="center">0.73156</td>
<td valign="top" colspan="2" align="center">0.511924</td>
<td valign="top" align="center">-13.9</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="top" align="center">0.72612</td>
<td valign="top" colspan="2" align="center">0.5118525</td>
<td valign="top" align="center">-15.325</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="top" align="center">0.0032859</td>
<td valign="top" colspan="2" align="center">0.0000472</td>
<td valign="top" align="center">0.9283722</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Eastern of Bay of Bengal (Andaman Sea)</bold> (<xref ref-type="bibr" rid="B11">Colin et&#xa0;al., 1999</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="bottom" align="center">23</td>
<td valign="bottom" colspan="2" align="center">23</td>
<td valign="bottom" align="center">23</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="bottom" align="center">0.71232</td>
<td valign="bottom" colspan="2" align="center">0.511998</td>
<td valign="bottom" align="center">-12.5</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="bottom" align="center">0.72230</td>
<td valign="bottom" colspan="2" align="center">0.512209</td>
<td valign="bottom" align="center">-8.4</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="bottom" align="center">0.716263</td>
<td valign="bottom" colspan="2" align="center">0.512120</td>
<td valign="bottom" align="center">-10.1</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="bottom" align="center">0.0026210</td>
<td valign="bottom" colspan="2" align="center">0.0000536</td>
<td valign="bottom" align="center">1.0459030</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Irrawaddy River</bold> (<xref ref-type="bibr" rid="B11">Colin et&#xa0;al., 1999</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="middle" align="center">3</td>
<td valign="middle" colspan="2" align="center"/>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="bottom" align="center">0.7118</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-7.3</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="bottom" align="center">0.7120</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-6.8</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="bottom" align="center">0.7119</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-7</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="bottom" align="center">0.0000816</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">0.2160247</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Godavari-Krishna River</bold> (<xref ref-type="bibr" rid="B3">Ahmad et&#xa0;al., 2009</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="middle" align="center">3</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="bottom" align="center">0.724</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-16.38</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="bottom" align="center">0.725</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-12.38</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="bottom" align="center">0.7244888</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-14.38</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="bottom" align="center">0.0004082</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">1.6329931</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Gangas</bold> (<xref ref-type="bibr" rid="B43">Lupker et&#xa0;al.,2013</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="middle" align="center">21</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="bottom" align="center">0.757574</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-18.8</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="bottom" align="center">0.801759</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-17.3</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="bottom" align="center">0.774910</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-18.0</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="bottom" align="center">0.0098453</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">0.3740445</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Brahmaputra</bold> (<xref ref-type="bibr" rid="B43">Lupker et&#xa0;al.,2013</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="middle" align="center">9</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="bottom" align="center">0.721437</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-19</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="bottom" align="center">0.754689</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-14.2</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="bottom" align="center">0.739170</td>
<td valign="middle" colspan="2" align="center"/>
<td valign="bottom" align="center">-16.8</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="bottom" align="center">0.0125933</td>
<td valign="middle" colspan="2" align="center"/>
<td valign="bottom" align="center">1.7239776</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Lower Meghna</bold> (<xref ref-type="bibr" rid="B43">Lupker et&#xa0;al.,2013</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="middle" align="center">9</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="bottom" align="center">0.72322</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-17</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="bottom" align="center">0.746403</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-13.7</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="bottom" align="center">0.736937</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">-15.8</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="bottom" align="center">0.0078554</td>
<td valign="middle" align="center" colspan="2"/>
<td valign="bottom" align="center">1.0343484</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">
<bold>Andaman mud volcanoes</bold> (<xref ref-type="bibr" rid="B43">Lupker et&#xa0;al.,2013</xref>)</td>
<td valign="middle" align="center">Sample quantity</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center" colspan="2">14</td>
<td valign="middle" align="center">14</td>
</tr>
<tr>
<td valign="middle" align="center">Minimum value</td>
<td valign="bottom" align="center">0.70854</td>
<td valign="bottom" align="center" colspan="2">0.51247</td>
<td valign="bottom" align="center">-3.3</td>
</tr>
<tr>
<td valign="middle" align="center">Maximum value</td>
<td valign="bottom" align="center">0.70986</td>
<td valign="bottom" align="center" colspan="2">0.512552</td>
<td valign="bottom" align="center">-1.7</td>
</tr>
<tr>
<td valign="middle" align="center">Average value</td>
<td valign="bottom" align="center">0.70924</td>
<td valign="bottom" align="center" colspan="2">0.512505</td>
<td valign="bottom" align="center">-2.6</td>
</tr>
<tr>
<td valign="middle" align="center">Standard deviation</td>
<td valign="bottom" align="center">0.0003586</td>
<td valign="bottom" align="center" colspan="2">0.0000233</td>
<td valign="bottom" align="center">0.4533323</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The Sr-Nd isotope ratio results of the cores from the three NER stations, A6, A28 and A34, show that the core sediments and <sup>144</sup>Nd/<sup>143</sup>Nd values vary little with depth. The <sup>87</sup>Sr/<sup>86</sup>Sr ratio values fall between 0.7094321 and 0.7117061, with an average of 0.709937. The ratios of <sup>144</sup>Nd/<sup>143</sup>Nd show minimal variability between 0.5121194 and 0.5122696, with an average of 0.512197, corresponding to the &#x3f5; Nd range of -10.116300 to -7.1863576 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The Sr-Nd ratio from the cores is similar to that of the surface samples, but the <sup>87</sup>Sr/<sup>86</sup>Sr and <sup>144</sup>Nd/<sup>143</sup>Nd ranges are slightly greater for the surface samples.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The Sr-Nd isotope ratios of some core sediments in the NER.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Site</th>
<th valign="top" align="center">Depth (cm)</th>
<th valign="top" align="center">
<sup>87</sup>Sr/<sup>86</sup>Sr</th>
<th valign="top" align="center">
<sup>143</sup>Nd/<sup>144</sup>Nd</th>
<th valign="top" align="center">&#x3b5;Nd</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">A6</td>
<td valign="top" align="center">1-2</td>
<td valign="top" align="center">0.7094493</td>
<td valign="top" align="center">0.5121729</td>
<td valign="top" align="center">-8.703998</td>
</tr>
<tr>
<td valign="top" align="left">A6</td>
<td valign="top" align="center">12-13</td>
<td valign="top" align="center">0.7094321</td>
<td valign="top" align="center">0.5121918</td>
<td valign="top" align="center">-8.173409</td>
</tr>
<tr>
<td valign="top" align="left">A6</td>
<td valign="top" align="center">26-27</td>
<td valign="top" align="center">0.7095701</td>
<td valign="top" align="center">0.5122190</td>
<td valign="top" align="center">-7.213667</td>
</tr>
<tr>
<td valign="top" align="left">A28</td>
<td valign="top" align="center">1-2</td>
<td valign="top" align="center">0.7117061</td>
<td valign="top" align="center">0.5122217</td>
<td valign="top" align="center">-7.186358</td>
</tr>
<tr>
<td valign="top" align="left">A28</td>
<td valign="top" align="center">22-23</td>
<td valign="top" align="center">0.7096804</td>
<td valign="top" align="center">0.5122682</td>
<td valign="top" align="center">-9.930984</td>
</tr>
<tr>
<td valign="top" align="left">A28</td>
<td valign="top" align="center">45-46</td>
<td valign="top" align="center">0.7095537</td>
<td valign="top" align="center">0.5122696</td>
<td valign="top" align="center">-8.87956</td>
</tr>
<tr>
<td valign="top" align="left">A34</td>
<td valign="top" align="center">0-1</td>
<td valign="top" align="center">0.7102207</td>
<td valign="top" align="center">0.5121194</td>
<td valign="top" align="center">-9.072679</td>
</tr>
<tr>
<td valign="top" align="left">A34</td>
<td valign="top" align="center">19-20</td>
<td valign="top" align="center">0.7098994</td>
<td valign="top" align="center">0.5121289</td>
<td valign="top" align="center">-8.12074</td>
</tr>
<tr>
<td valign="top" align="left">A34</td>
<td valign="top" align="center">39-40</td>
<td valign="top" align="center">0.7099192</td>
<td valign="top" align="center">0.5121828</td>
<td valign="top" align="center">-10.1163</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The analysis of mineral components less than 2 &#x3bc;M in cores A6, A28 and A34 of core samples shows that the main diffraction peaks are obvious in the measurement curves of natural slices of clay minerals, and it can be identified that the components are mainly montmorillonite, illite, kaolinite, chlorite and a small amount of quartz, of which illite is the main component, chlorite and kaolinite are the second, and the diffraction peaks of montmorillonite are not obvious (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Diffraction spectrum of clay minerals in core sediments from stations A6, A28 and A34.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1073054-g003.tif"/>
</fig>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Chronological analysis</title>
<p>
<sup>14</sup>C enters marine sediments after a series of long-term cycles and decays at a constant rate (half-life: 5730 years). In the sedimentary layer, when the burial depth increases, the <sup>14</sup>C index decreases (<xref ref-type="bibr" rid="B67">Zhang and Zhou, 2012</xref>). The maximum age of the three sediment cores in the study is 35000 years before present, and the overall sedimentation rate is low, with an average of 1 cm ka<sup>-1</sup> (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The deposition rate accelerated at 12 ~ 18 ka Bp. The deposition rate of core A28 peaked at 25 cm ka<sup>-1</sup>, but was followed by an extremely rapid decrease (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Visual analysis of the core showed that the sediment colour at this interval (19 ~ 20 cm depth) is significantly darker, represented by a dark sediment layer as shown by <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. This abrupt change in the rate of sediment deposition corresponds to the Younger Dryas (12.9 ~ 11.5 ka BP).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>AMS <sup>14</sup>C age data from A6, A28 and A34 cores.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Site</th>
<th valign="middle" align="center">Depth/cm</th>
<th valign="middle" align="center">
14C age<break/>
(a B.P.)
</th>
<th valign="middle" colspan="2" align="center">Calibrated radiocarbon age<break/>(cal a BP)</th>
<th valign="middle" align="center">Rate of sedimentation<break/>(cm. ka<sup>-1</sup>)</th>
</tr>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">median/(a BP)</th>
<th valign="middle" align="center">1&#x3c3;</th>
<th valign="middle" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="4" align="left">A6</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">4750 &#xb1; 30</td>
<td valign="middle" align="center">4797.5</td>
<td valign="middle" align="center">4975-4620</td>
<td valign="middle" align="center">0.63</td>
</tr>
<tr>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">9740 &#xb1; 30</td>
<td valign="middle" align="center">10483</td>
<td valign="middle" align="center">10668-10298</td>
<td valign="middle" align="center">1.27</td>
</tr>
<tr>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">13210 &#xb1; 40</td>
<td valign="middle" align="center">15050.5</td>
<td valign="middle" align="center">15265-14836</td>
<td valign="middle" align="center">1.98</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">15600 &#xb1; 40</td>
<td valign="middle" align="center">18041.5</td>
<td valign="middle" align="center">18245-17838</td>
<td valign="middle" align="center">2.34</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="left">A28</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">11430 &#xb1; 30</td>
<td valign="middle" align="center">12769</td>
<td valign="middle" align="center">12906-12632</td>
<td valign="middle" align="center">1.02</td>
</tr>
<tr>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">11740 &#xb1; 30</td>
<td valign="middle" align="center">13052</td>
<td valign="middle" align="center">13206-12898</td>
<td valign="middle" align="center">24.73</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">13180 &#xb1; 40</td>
<td valign="middle" align="center">15017.5</td>
<td valign="middle" align="center">15233-14802</td>
<td valign="middle" align="center">5.6</td>
</tr>
<tr>
<td valign="middle" align="center">43</td>
<td valign="middle" align="center">31370 &#xb1; 160</td>
<td valign="middle" align="center">34944</td>
<td valign="middle" align="center">35324-34564</td>
<td valign="middle" align="center">0.65</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">A34</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">4580 &#xb1; 30</td>
<td valign="middle" align="center">4608</td>
<td valign="middle" align="center">4786-4430</td>
<td valign="middle" align="center">0.43</td>
</tr>
<tr>
<td valign="middle" align="center">28</td>
<td valign="middle" align="center">12070 &#xb1; 40</td>
<td valign="middle" align="center">13399.5</td>
<td valign="middle" align="center">13565-13234</td>
<td valign="middle" align="center">1.88</td>
</tr>
<tr>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">16460 &#xb1; 50</td>
<td valign="middle" align="center">18973.5</td>
<td valign="middle" align="center">19202-18745</td>
<td valign="middle" align="center">1.61</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Depth versus calibrated calendar age plot of A6, A28 and A34 cores. The linear sedimentation rates are listed for each interval in cm ka<sup>-1.</sup>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1073054-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<label>5</label>
<title>Discussion</title>
<sec id="s5_1">
<label>5.1</label>
<title>Provenance tracing</title>
<p>The Sr-Nd isotopes have a long half-life and can maintain relative stability as they undergo various geological processes (<xref ref-type="bibr" rid="B29">Huang et&#xa0;al., 2005</xref>). These isotopes have become a good tracer for determining sediment sources. It is generally believed that when the <sup>87</sup>Sr/<sup>86</sup>Sr ratio in the sediment is &gt; 0.710, the material source is considered to be from the crust; when <sup>87</sup>Sr/<sup>86</sup>Sr is &lt; 0.705, the material likely originated from the mantle (<xref ref-type="bibr" rid="B21">Fang et&#xa0;al., 2020</xref>). <sup>143</sup>Nd/<sup>144</sup>Nd in the continental Erosion Products = 0.51204 &#xb1; 0.0002( &#x3f5; Nd = &#x2212; 11.4 &#xb1; 4), and the <sup>143</sup>Nd/<sup>144</sup>Nd ratio of continental crust is close to 0.5119 (<xref ref-type="bibr" rid="B17">DePaolo, 1988</xref>; <xref ref-type="bibr" rid="B23">Goldstein et&#xa0;al., 1984</xref>). Therefore, sediments flowing through older crustal rocks usually have higher <sup>87</sup>Sr/<sup>86</sup>Sr ratios and lower &#x3b5;Nd values (&lt; -6) (<xref ref-type="bibr" rid="B16">De Paolo and Johnson, 1979</xref>), such as the low &#x3b5;Nd values (-14 to -15) and the high <sup>87</sup>Sr/<sup>86</sup>Sr ratio (0.710 to 0.714) of the North China Dabie complex, that indicates the hybridization of the ancient crust (<xref ref-type="bibr" rid="B30">Jahn et&#xa0;al., 1999</xref>).</p>
<p>The obvious differences between different rivers around the Bay of Bengal make it a good location to trace sediment sources (<xref ref-type="bibr" rid="B22">Galy and France-Lanord, 1999</xref>; <xref ref-type="bibr" rid="B32">Kessarkar et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B60">Tripathy et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B31">Joussain et&#xa0;al., 2016</xref>). By analysing the Sr-Nd isotope ratios, the &#x3b5;Nd values previously obtained from the river sediments around the Bay of Bengal, and the corresponding marine sediments, it is found that the distribution of Sr-Nd isotopes in the marine sediments is consistent with the potential terrigenous source of the river system that transport materials into these areas (<xref ref-type="bibr" rid="B59">Tripathy et&#xa0;al., 2011</xref>). For example, the <sup>87</sup>Sr/<sup>86</sup>Sr value of the Eastern Bay of Bengal (Andaman Sea) is 0.712~0.722, which is close to the <sup>87</sup>Sr/<sup>86</sup>Sr value of the middle Irrawaddy River (<xref ref-type="bibr" rid="B11">Colin et&#xa0;al., 1999</xref>), while the <sup>87</sup>Sr/<sup>86</sup>Sr value of marine sediments in the west of the Bay of Bengal is 0.723~0.732, which is similar to the <sup>87</sup>Sr/<sup>86</sup>Sr value of sediments in the Godavari River on the central and western coasts (<xref ref-type="bibr" rid="B11">Colin et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B2">Ahmad et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B3">Ahmad et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B9">Chaitanya et&#xa0;al., 2021</xref>).</p>
<p>Our Sr-Nd isotope test results (<xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref> and <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>) show that the surface sediments of the NER and the sediments from the three sediment cores all have low &#x3b5;Nd values (- 11.631990 to -7.172703) and high <sup>87</sup>Sr/<sup>86</sup>Sr ratios (0.70919 to 0.71042), indicating that their source rocks contain a large amount of ancient crustal materials.</p>
<p>The average value of <sup>87</sup>Sr/<sup>86</sup>Sr of the surface sediments obtained from the NER is 0.7095, and the average value of <sup>143</sup>Nd/<sup>144</sup>Nd is 0.5122, indicating that a large number of diagenetic materials in the sediments come from continental crust sources and have been eroded. It can be seen from the correlation distribution diagram of &#x3b5;Nd and <sup>87</sup>Sr/<sup>86</sup>Sr (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>) that the <sup>87</sup>Sr/<sup>86</sup>Sr values of the surface sediments and the core sediments are very close to the <sup>87</sup>Sr/<sup>86</sup>Sr range of 0.712~0.719 (<xref ref-type="bibr" rid="B11">Colin et&#xa0;al., 1999</xref>), indicative of the Irrawaddy River, whose provenance is the Qinghai Tibet Plateau. These values are also similar to the value of the Eastern Bay of Bengal (Andaman Sea) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The average value of &#x3b5;Nd for the surface sediment in the study area is -9.238, which is also within the range of the Irrawaddy River (- 6.9 ~ 10.86) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Only a small amount of surface sediments have &#x3b5;Nd and <sup>87</sup>Sr/<sup>86</sup>Sr values suggestive of an origin in the Ganges Brahmaputra River system close to the northern and southern foothills of the Himalayas.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Correlation distribution diagram of &#x3b5;Nd and <sup>87</sup>Sr/<sup>86</sup>Sr in the sediments of the NER and the Bay of Bengal and its surrounding rivers.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1073054-g005.tif"/>
</fig>
<p>The research method of Sr-Nd isotopes combined with clay mineral analysis is widely used. The fine-grained, clay dominated sediments are mainly transported by rivers, and there are obvious differences in the clay mineral composition representative of potential sources. Therefore, the study of clay composition within fine-grained sediments can be used as important evidence to determine sedimentary sources and transport pathways (<xref ref-type="bibr" rid="B4">Ahmad et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B42">Liu et&#xa0;al., 2016b</xref>). On the other hand, the formation and diagenesis of clay minerals are closely related to the environment in which they are located, and the effects of these processes may be reflective of local environmental conditions (<xref ref-type="bibr" rid="B57">Tang et&#xa0;al., 2002</xref>).</p>
<p>Various sediment inlets in the Northeast Indian Ocean have different clay mineral assemblages. The clay minerals in the surface sediments of the southeastern Andaman Sea are mainly composed of illite (45%), kaolinite (31%), chlorite (18%), and smectite (6%) (<xref ref-type="bibr" rid="B8">Cao, 2015</xref>). The sediments of the Mahanadi River are characterized by high illite content and low montmorillonite content (<xref ref-type="bibr" rid="B37">Li et&#xa0;al., 2018</xref>). The clay mineral contents in the sediments of the Ganges-Brahmaputra River system are illite (57%), kaolinite, chlorite and montmorillonite (less than 5%) from high to low (<xref ref-type="bibr" rid="B33">Khan et&#xa0;al., 2019</xref>). The sediment in the offshore basin near the Krishna-Godavari estuary has a high content of montmorillonite and a low content of chlorite (<xref ref-type="bibr" rid="B48">Phillips et&#xa0;al., 2014</xref>). Although the runoff and sedimentary input of the Ganges-Brahmaputra-Meghna River system is much larger than that of other basins (<xref ref-type="bibr" rid="B46">Milliman et&#xa0;al., 1983</xref>), Himalayan materials from the Irrawaddy River and Yarlung Zangbo River are more important and stable sources (<xref ref-type="bibr" rid="B55">Song et&#xa0;al., 2021</xref>). Illite is the predominate material in the clay mineral composition of the NER, followed by chlorite and kaolinite. Montmorillonite is the least abundant (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The clay mineralogy of the NER is similar to that of the surface sediments of the Andaman Sea, indicating a shared provenanced, though small inputs from the Ganges Brahmaputra River and Mahanadi River affect the sedimentary source.</p>
<p>To summarize the Sr-Nd isotope and clay mineral analysis, the sediments in the study area contain a large amount of older continental crust materials from the Qinghai-Tibet Plateau, which have been subjected to certain erosional processes and may have been imported to the NER <italic>via</italic> the Irrawaddy River and the Andaman Sea.</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Distribution of surface sediments on the NER</title>
<p>A large volume of surface sediments encompassing a wide area were collected in the NER. The Sr-Nd isotope test results can not only be used for provenance tracing but also to study the distribution pattern of terrestrial material after it enters the study area. The distribution of the &#x3b5;Nd (0) value and <sup>87</sup>Sr/<sup>86</sup>Sr isotope ratios of surface sediments are an important indication of the current source input pathways. By analysing the Sr-Nd isotope distribution characteristics of 77 surface samples obtained from the NER, we found that the <sup>143</sup>Nd/<sup>144</sup>Nd isoline map (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>) showed that the values decreased from south to north. The <sup>87</sup>Sr/<sup>86</sup>Sr contour map (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>) shows a decreasing trend from east to west.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>
<sup>143</sup>Nd/<sup>144</sup>Nd contour map <bold>(A)</bold> and <sup>87</sup>Sr/<sup>86</sup>Sr contour map <bold>(B)</bold> in the study area. (Note: The dotted line represents the position of NER, and the asterisk represents the core sample position).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1073054-g006.tif"/>
</fig>
<p>Sedimentation has little influence on Nd and its ratio in sediments. Nd isotopes can effectively identify and trace terrigenous sedimentary materials and indicate their evolutionary history (<xref ref-type="bibr" rid="B54">Shao et&#xa0;al., 2009</xref>). The &#x3b5;Nd value of the materials imported into the sea from the land is smaller than that of marine biomass (<xref ref-type="bibr" rid="B38">Liu, 2004</xref>). According to the distribution pattern that the <sup>143</sup>Nd/<sup>144</sup>Nd ratio in the study area gradually increases from north to south, it is inferred that the material sources are mainly transported from north to south. The larger the ratio of <sup>87</sup>Sr/<sup>86</sup>Sr is, the older the sediments and the greater the chemical weathering (<xref ref-type="bibr" rid="B45">Meng et&#xa0;al., 2000</xref>). As the <sup>87</sup>Sr/<sup>86</sup>Sr value decreases from east to west, the chemical weathering in the east of the NER is greater than that in the west. This may be because the monsoon weakens after it passed through the ridge, the hydrodynamic effect of the seawater carrying terrestrial materials was weakened, thus reducing its ability to further transport sediments from east to west. Therefore, the migration mode of the sediment transported to the NER is from east to west and from north to south.</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Sediment transport mode and its temporal and spatial changes</title>
<p>The NER is relatively high and located in the open ocean far from the source area. Turbidity currents and isobaric currents have little impact on it. The isotope and clay mineral analysis results show that the winter monsoon and summer monsoon in the Bay of Bengal can transport the terrigenous sediments of the northern mountain system to the northern end of the NER (<xref ref-type="bibr" rid="B64">Wei et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B65">Zhang et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B62">Weber et&#xa0;al., 2018</xref>), but it is difficult to transport them further southward. However, after the sediments exported from the Irrawaddy River flow through the relatively closed Andaman Sea <italic>via</italic> the summer monsoon, the monsoon-driven circulation in this area can be used to transport more sediments to the northern NER (<xref ref-type="bibr" rid="B51">Schott and McCreary, 2001</xref>; <xref ref-type="bibr" rid="B53">Shankar et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B31">Joussain et&#xa0;al., 2016</xref>). This interpretation is supported by the observed decrease in <sup>143</sup>Nd/<sup>144</sup>Nd and <sup>87</sup>Sr/<sup>86</sup>Sr values from northeast to south and east to west, as shown in the isotope contour maps (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<p>Therefore, we comprehensively analysed the Sr-Nd isotopes and their spatial distribution and clay mineralogy in the study area and proposed the following transport mode of terrigenous materials into the NER. In the Qinghai-Tibet Plateau, a large volume of continental crust materials was weathered and denuded and then transported into the Irrawaddy River. Terrigenous clastic materials were carried to the Andaman Sea with the flowing waters of the Irrawaddy River. It is transported westward to the north of the NER through the surface monsoon circulation of the Andaman Sea. Under the influence of the monsoon circulation in the study area, the terrigenous materials continue to be carried southward along the NER (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), and the Sr-Nd ratio remains relatively stable along the entire transport path.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Transport path pattern of terrigenous sediments in the NER. <bold>(A)</bold> and migration model from the Qinghai - Tibet Plateau to the NER <bold>(B)</bold>. (<bold>A</bold>: black arrow indicates winter monsoon, red arrow indicates summer monsoon, yellow arrow indicates transport path, cited by <xref ref-type="bibr" rid="B31">Joussain et&#xa0;al, 2016</xref>; <bold>A, B</bold>: &#x2460;- Weathering and denudation of the Qinghai-Tibet Plateau;&#x2461;- Material from the Qinghai-Tibet Plateau was transported to the Irrawaddy River; &#x2462;- Material from the Tibetan Plateau drains into Andaman Sea, and then enters monsoon circulation system; &#x2463;- Material from the Tibetan Plateau are transported westward to the northern NER by the monsoon-driven circulation.).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1073054-g007.tif"/>
</fig>
<p>To explore the temporal and spatial changes in this transport mode of sediments to the NER, we performed AMS <sup>14</sup>C dating analysis on three core sediments.</p>
<p>The maximum ages of the A6, A34 and A28 cores are 18ka, 19ka and 35ka respectively. A6 and A34 cores in the northern part of the NER recorded the sedimentary and environmental changes after the last glacial maximum (LGM, 26.5 ka ~ 19 ka BP), including the Younger Dryas (12.6 Ka ~ 11.5 ka BP). The two cores reflect similar sedimentation rates, and there is no significant change during the Younger Dryas (12.6 Ka ~ 11.5 ka BP). After the Younger Dryas (12.6 Ka ~ 11.5 ka BP), the sea level rose and the sedimentation rates began to decrease, suggesting that the northern part of the NER may be mainly affected by sea level changes. The deposition of A28 core in the southern NER records the sedimentary and environmental changes since the late period of the last glacial period (70 ka ~ 11.5ka BP), including the LGM and the Younger Dryas. AMS <sup>14</sup>C dating analysis of the core shows that the sediments in the southern NER were stable from 35ka BP to 15ka BP and were not affected by the LGM, indicating that the southern NER was not affected by provenance and sea level during this period. From 15ka BP to 12.6ka BP (before the Younger Dryas), A sudden increase in the sedimentation rate in the southern NER could be linked to a number of factors. The first factor may be that as the climate warms, the increase of provenance denudation and stream input amount during this period (<xref ref-type="bibr" rid="B35">Kolla and Pierre, 1973</xref>; <xref ref-type="bibr" rid="B34">Kolla et&#xa0;al., 1976</xref>). And the second reason may be that large amounts of volcanic material from the Indonesian archipelago were deposited, carried by the southeast monsoon or equatorial easterly winds (<xref ref-type="bibr" rid="B14">Dehn et&#xa0;al., 1991</xref>; <xref ref-type="bibr" rid="B28">Hovan and Rea, 1992</xref>; <xref ref-type="bibr" rid="B66">Zhang et&#xa0;al., 2004</xref>). Since the Younger Dryas (12.6ka BP), the sedimentation rate of the southern NER decreased, which may be affected by the decrease of provenance denudation and the stream input amount.</p>
<p>We also found that the mean particle size of the A6, A28 and A34 cores are relatively uniform, but there is a sudden change in sedimentation during the period of rapid climate change (12.9 ~ 11.5 ka BP) in the Younger Dryas (<xref ref-type="bibr" rid="B7">Broecker et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B39">Liu, 2012</xref>). The deposition processes at the NER may also be affected by this climatic change. The Sr-Nd isotope values of the A28 and A34 core samples had obvious changes after the Younger Dryas, especially the &#x3b5;Nd values, which decreased rapidly, confirming the change in source (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). Core A6, located west of the ridge, differs from the other two cores potentially due to their different locations (east of the ridge). However, A6 also contains evidence of a change at approximately 15 ka BP, after the Younger Dryas. In general, the sediment transport regime in the study area has been relatively stable for the past 35000 years and is essentially the same as the current model. However, during the Younger Dryas (12.9 ~ 11.5 ka BP), the quantity of sedimentary input, particle size and Sr-Nd isotope ratio changed. The relationship between this change and the climate of the Younger Dryas needs to be further studied.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Chronological framework of sediments in A6, A28 and A34 cores (the middle of the dotted line is the Younger Dryas).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1073054-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusion</title>
<list list-type="order">
<list-item>
<p>The sediments of the NER contain a large volume of terrigenous materials. The sedimentary source is mainly the older continental crust of the Qinghai-Tibet Plateau and there is less terrigenous material transported directly from the Bay of Bengal in the north.</p>
</list-item>
<list-item>
<p>We propose a transport model of terrigenous sediments into the NER: In the Qinghai-Tibet Plateau, the crustal materials are weathered and denuded and then transported into the Andaman Sea <italic>via</italic> the Irrawaddy River. Then, under the influence of the summer monsoon, they are transported westward to the northern NER by the monsoon-driven circulation before finally being deposited further south.</p>
</list-item>
<list-item>
<p>This mode of terrigenous sediment transport into the NER has changed very little over the past 35000 years. Only during the rapid climate change of the Younger Dryas (12.9 ~ 11.5 ka BP) did the input amount, grain size and Sr-Nd isotope value of sediments show substantial change.</p>
</list-item>
</list>
</sec>
<sec id="s7" 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 author.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZC - conception and design. QH - data analysis and writing. ZY - conception and sampling. XH - data analysis and writing. LC - revising the manuscript. MT - revising the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This research was funded by National Programme on Global Change and Air-Sea Interaction (No. GASI-02-IND-CJ04), National Natural Science Foundation of China (No. 41206035)and Nature Science Foundation of Guangdong Province (No. 2015A030313157, No. 2107A030312002, 2018A030313168).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The samples were from the 2019 and 2020 voyages of the South China Sea Bureau of the Ministry of Natural Resources and the First Institute of Oceanography. The data of X Ray Fluorescence (XRF) core scanner were from Guangzhou Marine Geological Survey. The data of geochemistry were from Nanjing FocuMS Technology Co. Ltd. The data of grain size were from School of Marine Science of Sun Yat-sen University and the data of X-ray powder diffraction (XRD) were from the testing center of Sun Yat-sen University. Data sets and figures noted in the main text can be found in the main text.</p>
</ack>
<sec id="s10" 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="s11" 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>
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