Loading…
Remote-Sensing Estimation of Upwelling-Frequent Areas in the Adjacent Waters of Zhoushan (China)
Upwelling, which mixes deep and surface waters, significantly enhances the productivity of surface waters and plays a critical role in marine ecosystems, especially in key fishing areas like Zhoushan. This study utilized merged sea surface temperature data and an upwelling edge detection algorithm b...
Saved in:
Published in: | Journal of marine science and engineering 2024-07, Vol.12 (7), p.1085 |
---|---|
Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c254t-e6702e0a70f7852df24ee48212e608d1d16f0dff0003fd8103e21c7c6fea04943 |
container_end_page | |
container_issue | 7 |
container_start_page | 1085 |
container_title | Journal of marine science and engineering |
container_volume | 12 |
creator | Xiao, Teng Feng, Jiajun Qiu, Zhongfeng Tang, Rong Zhao, Aibo Wong, Kapo Tsou, Jin Yeu Zhang, Yuanzhi |
description | Upwelling, which mixes deep and surface waters, significantly enhances the productivity of surface waters and plays a critical role in marine ecosystems, especially in key fishing areas like Zhoushan. This study utilized merged sea surface temperature data and an upwelling edge detection algorithm based on temperature gradients to analyze the characteristics of upwelling in Zhoushan and the Yangtze River Estuary over the past 28 years. The results indicate that upwelling in Zhoushan begins in April, peaks in July, gradually weakens, and disappears by October. The phenomenon is most pronounced during the summer months (June to August), with significant spatial distribution differences in April and September. Notably, high probability values of upwelling centers and core areas are mainly concentrated near Ma’an Island, Zhongjieshan Island, and Taohua Island. In these areas, upwelling remains stable during the summer, forming a unique “footprint” distribution pattern, and these are also the locations of the Zhoushan National Marine Ranch. From April to August, the extent of the upwelling area gradually decreases and stabilizes. These findings emphasize the frequent upwelling activity around Zhoushan and its significant contribution to the formation of local fisheries. Additionally, considering that the formation of natural upwelling in the East China Sea depends on the southern monsoon, the study suggests establishing artificial upwelling systems during periods unfavorable for natural upwelling, based on high probability areas, to enhance fishery yields and support the development of local fisheries. |
doi_str_mv | 10.3390/jmse12071085 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_31930feb88f54651b431c2a0e4bc07b2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_31930feb88f54651b431c2a0e4bc07b2</doaj_id><sourcerecordid>3084929663</sourcerecordid><originalsourceid>FETCH-LOGICAL-c254t-e6702e0a70f7852df24ee48212e608d1d16f0dff0003fd8103e21c7c6fea04943</originalsourceid><addsrcrecordid>eNpNUU1LAzEQXUTBUnvzByx4UXB18rHZ7LGUVgsFQS2Cl5juTtpd2k1NUsR_b2pFOpcZHm_evMckySWBO8ZKuG83HgmFgoDMT5JenIqMMEJPj-bzZOB9C7EkFQREL_l4xo0NmL1g55tumY59aDY6NLZLrUnn2y9cryOeTRx-7rAL6dCh9mnTpWGF6bBudbVH33RA5_cr7yu78yvdpdejVdPpm4vkzOi1x8Ff7yfzyfh19JjNnh6mo-Esq2jOQ4aiAIqgCzCFzGltKEfkkhKKAmRNaiIM1MZE68zUkgBDSqqiEgY18JKzfjI96NZWt2rrYgr3raxu1C9g3VJpF5pqjYqRkoHBhZQm5yInC85IRTUgX1RQLGjUujpobZ2NqX1Qrd25LtpXDCQvaSkEi6zbA6ty1nuH5v8qAbV_iTp-CfsB-wp9LQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3084929663</pqid></control><display><type>article</type><title>Remote-Sensing Estimation of Upwelling-Frequent Areas in the Adjacent Waters of Zhoushan (China)</title><source>ProQuest - Publicly Available Content Database</source><creator>Xiao, Teng ; Feng, Jiajun ; Qiu, Zhongfeng ; Tang, Rong ; Zhao, Aibo ; Wong, Kapo ; Tsou, Jin Yeu ; Zhang, Yuanzhi</creator><creatorcontrib>Xiao, Teng ; Feng, Jiajun ; Qiu, Zhongfeng ; Tang, Rong ; Zhao, Aibo ; Wong, Kapo ; Tsou, Jin Yeu ; Zhang, Yuanzhi</creatorcontrib><description>Upwelling, which mixes deep and surface waters, significantly enhances the productivity of surface waters and plays a critical role in marine ecosystems, especially in key fishing areas like Zhoushan. This study utilized merged sea surface temperature data and an upwelling edge detection algorithm based on temperature gradients to analyze the characteristics of upwelling in Zhoushan and the Yangtze River Estuary over the past 28 years. The results indicate that upwelling in Zhoushan begins in April, peaks in July, gradually weakens, and disappears by October. The phenomenon is most pronounced during the summer months (June to August), with significant spatial distribution differences in April and September. Notably, high probability values of upwelling centers and core areas are mainly concentrated near Ma’an Island, Zhongjieshan Island, and Taohua Island. In these areas, upwelling remains stable during the summer, forming a unique “footprint” distribution pattern, and these are also the locations of the Zhoushan National Marine Ranch. From April to August, the extent of the upwelling area gradually decreases and stabilizes. These findings emphasize the frequent upwelling activity around Zhoushan and its significant contribution to the formation of local fisheries. Additionally, considering that the formation of natural upwelling in the East China Sea depends on the southern monsoon, the study suggests establishing artificial upwelling systems during periods unfavorable for natural upwelling, based on high probability areas, to enhance fishery yields and support the development of local fisheries.</description><identifier>ISSN: 2077-1312</identifier><identifier>EISSN: 2077-1312</identifier><identifier>DOI: 10.3390/jmse12071085</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Artificial upwelling ; Coasts ; Concentration gradient ; Distribution patterns ; Edge detection ; Estuaries ; Estuarine dynamics ; Estuarine ecosystems ; Fisheries ; Fishery development ; Fishing ; Fishing areas ; Islands ; Marine ecosystems ; Ocean circulation ; probability ; Productivity ; Remote sensing ; Sea surface temperature ; Sea Surface Temperature (SST) ; Seawater ; Spatial distribution ; Summer ; Surface temperature ; Surface water ; Temperature data ; Temperature gradients ; Upwelling ; Wind ; Yangtze River ; Zhoushan</subject><ispartof>Journal of marine science and engineering, 2024-07, Vol.12 (7), p.1085</ispartof><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c254t-e6702e0a70f7852df24ee48212e608d1d16f0dff0003fd8103e21c7c6fea04943</cites><orcidid>0000-0001-8733-6911 ; 0000-0002-7682-4327 ; 0000-0003-1167-3991</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3084929663/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3084929663?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Xiao, Teng</creatorcontrib><creatorcontrib>Feng, Jiajun</creatorcontrib><creatorcontrib>Qiu, Zhongfeng</creatorcontrib><creatorcontrib>Tang, Rong</creatorcontrib><creatorcontrib>Zhao, Aibo</creatorcontrib><creatorcontrib>Wong, Kapo</creatorcontrib><creatorcontrib>Tsou, Jin Yeu</creatorcontrib><creatorcontrib>Zhang, Yuanzhi</creatorcontrib><title>Remote-Sensing Estimation of Upwelling-Frequent Areas in the Adjacent Waters of Zhoushan (China)</title><title>Journal of marine science and engineering</title><description>Upwelling, which mixes deep and surface waters, significantly enhances the productivity of surface waters and plays a critical role in marine ecosystems, especially in key fishing areas like Zhoushan. This study utilized merged sea surface temperature data and an upwelling edge detection algorithm based on temperature gradients to analyze the characteristics of upwelling in Zhoushan and the Yangtze River Estuary over the past 28 years. The results indicate that upwelling in Zhoushan begins in April, peaks in July, gradually weakens, and disappears by October. The phenomenon is most pronounced during the summer months (June to August), with significant spatial distribution differences in April and September. Notably, high probability values of upwelling centers and core areas are mainly concentrated near Ma’an Island, Zhongjieshan Island, and Taohua Island. In these areas, upwelling remains stable during the summer, forming a unique “footprint” distribution pattern, and these are also the locations of the Zhoushan National Marine Ranch. From April to August, the extent of the upwelling area gradually decreases and stabilizes. These findings emphasize the frequent upwelling activity around Zhoushan and its significant contribution to the formation of local fisheries. Additionally, considering that the formation of natural upwelling in the East China Sea depends on the southern monsoon, the study suggests establishing artificial upwelling systems during periods unfavorable for natural upwelling, based on high probability areas, to enhance fishery yields and support the development of local fisheries.</description><subject>Algorithms</subject><subject>Artificial upwelling</subject><subject>Coasts</subject><subject>Concentration gradient</subject><subject>Distribution patterns</subject><subject>Edge detection</subject><subject>Estuaries</subject><subject>Estuarine dynamics</subject><subject>Estuarine ecosystems</subject><subject>Fisheries</subject><subject>Fishery development</subject><subject>Fishing</subject><subject>Fishing areas</subject><subject>Islands</subject><subject>Marine ecosystems</subject><subject>Ocean circulation</subject><subject>probability</subject><subject>Productivity</subject><subject>Remote sensing</subject><subject>Sea surface temperature</subject><subject>Sea Surface Temperature (SST)</subject><subject>Seawater</subject><subject>Spatial distribution</subject><subject>Summer</subject><subject>Surface temperature</subject><subject>Surface water</subject><subject>Temperature data</subject><subject>Temperature gradients</subject><subject>Upwelling</subject><subject>Wind</subject><subject>Yangtze River</subject><subject>Zhoushan</subject><issn>2077-1312</issn><issn>2077-1312</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LAzEQXUTBUnvzByx4UXB18rHZ7LGUVgsFQS2Cl5juTtpd2k1NUsR_b2pFOpcZHm_evMckySWBO8ZKuG83HgmFgoDMT5JenIqMMEJPj-bzZOB9C7EkFQREL_l4xo0NmL1g55tumY59aDY6NLZLrUnn2y9cryOeTRx-7rAL6dCh9mnTpWGF6bBudbVH33RA5_cr7yu78yvdpdejVdPpm4vkzOi1x8Ff7yfzyfh19JjNnh6mo-Esq2jOQ4aiAIqgCzCFzGltKEfkkhKKAmRNaiIM1MZE68zUkgBDSqqiEgY18JKzfjI96NZWt2rrYgr3raxu1C9g3VJpF5pqjYqRkoHBhZQm5yInC85IRTUgX1RQLGjUujpobZ2NqX1Qrd25LtpXDCQvaSkEi6zbA6ty1nuH5v8qAbV_iTp-CfsB-wp9LQ</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Xiao, Teng</creator><creator>Feng, Jiajun</creator><creator>Qiu, Zhongfeng</creator><creator>Tang, Rong</creator><creator>Zhao, Aibo</creator><creator>Wong, Kapo</creator><creator>Tsou, Jin Yeu</creator><creator>Zhang, Yuanzhi</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TN</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8733-6911</orcidid><orcidid>https://orcid.org/0000-0002-7682-4327</orcidid><orcidid>https://orcid.org/0000-0003-1167-3991</orcidid></search><sort><creationdate>20240701</creationdate><title>Remote-Sensing Estimation of Upwelling-Frequent Areas in the Adjacent Waters of Zhoushan (China)</title><author>Xiao, Teng ; Feng, Jiajun ; Qiu, Zhongfeng ; Tang, Rong ; Zhao, Aibo ; Wong, Kapo ; Tsou, Jin Yeu ; Zhang, Yuanzhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c254t-e6702e0a70f7852df24ee48212e608d1d16f0dff0003fd8103e21c7c6fea04943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Artificial upwelling</topic><topic>Coasts</topic><topic>Concentration gradient</topic><topic>Distribution patterns</topic><topic>Edge detection</topic><topic>Estuaries</topic><topic>Estuarine dynamics</topic><topic>Estuarine ecosystems</topic><topic>Fisheries</topic><topic>Fishery development</topic><topic>Fishing</topic><topic>Fishing areas</topic><topic>Islands</topic><topic>Marine ecosystems</topic><topic>Ocean circulation</topic><topic>probability</topic><topic>Productivity</topic><topic>Remote sensing</topic><topic>Sea surface temperature</topic><topic>Sea Surface Temperature (SST)</topic><topic>Seawater</topic><topic>Spatial distribution</topic><topic>Summer</topic><topic>Surface temperature</topic><topic>Surface water</topic><topic>Temperature data</topic><topic>Temperature gradients</topic><topic>Upwelling</topic><topic>Wind</topic><topic>Yangtze River</topic><topic>Zhoushan</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiao, Teng</creatorcontrib><creatorcontrib>Feng, Jiajun</creatorcontrib><creatorcontrib>Qiu, Zhongfeng</creatorcontrib><creatorcontrib>Tang, Rong</creatorcontrib><creatorcontrib>Zhao, Aibo</creatorcontrib><creatorcontrib>Wong, Kapo</creatorcontrib><creatorcontrib>Tsou, Jin Yeu</creatorcontrib><creatorcontrib>Zhang, Yuanzhi</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest - Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>Directory of Open Access Journals</collection><jtitle>Journal of marine science and engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xiao, Teng</au><au>Feng, Jiajun</au><au>Qiu, Zhongfeng</au><au>Tang, Rong</au><au>Zhao, Aibo</au><au>Wong, Kapo</au><au>Tsou, Jin Yeu</au><au>Zhang, Yuanzhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Remote-Sensing Estimation of Upwelling-Frequent Areas in the Adjacent Waters of Zhoushan (China)</atitle><jtitle>Journal of marine science and engineering</jtitle><date>2024-07-01</date><risdate>2024</risdate><volume>12</volume><issue>7</issue><spage>1085</spage><pages>1085-</pages><issn>2077-1312</issn><eissn>2077-1312</eissn><abstract>Upwelling, which mixes deep and surface waters, significantly enhances the productivity of surface waters and plays a critical role in marine ecosystems, especially in key fishing areas like Zhoushan. This study utilized merged sea surface temperature data and an upwelling edge detection algorithm based on temperature gradients to analyze the characteristics of upwelling in Zhoushan and the Yangtze River Estuary over the past 28 years. The results indicate that upwelling in Zhoushan begins in April, peaks in July, gradually weakens, and disappears by October. The phenomenon is most pronounced during the summer months (June to August), with significant spatial distribution differences in April and September. Notably, high probability values of upwelling centers and core areas are mainly concentrated near Ma’an Island, Zhongjieshan Island, and Taohua Island. In these areas, upwelling remains stable during the summer, forming a unique “footprint” distribution pattern, and these are also the locations of the Zhoushan National Marine Ranch. From April to August, the extent of the upwelling area gradually decreases and stabilizes. These findings emphasize the frequent upwelling activity around Zhoushan and its significant contribution to the formation of local fisheries. Additionally, considering that the formation of natural upwelling in the East China Sea depends on the southern monsoon, the study suggests establishing artificial upwelling systems during periods unfavorable for natural upwelling, based on high probability areas, to enhance fishery yields and support the development of local fisheries.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/jmse12071085</doi><orcidid>https://orcid.org/0000-0001-8733-6911</orcidid><orcidid>https://orcid.org/0000-0002-7682-4327</orcidid><orcidid>https://orcid.org/0000-0003-1167-3991</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2077-1312 |
ispartof | Journal of marine science and engineering, 2024-07, Vol.12 (7), p.1085 |
issn | 2077-1312 2077-1312 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_31930feb88f54651b431c2a0e4bc07b2 |
source | ProQuest - Publicly Available Content Database |
subjects | Algorithms Artificial upwelling Coasts Concentration gradient Distribution patterns Edge detection Estuaries Estuarine dynamics Estuarine ecosystems Fisheries Fishery development Fishing Fishing areas Islands Marine ecosystems Ocean circulation probability Productivity Remote sensing Sea surface temperature Sea Surface Temperature (SST) Seawater Spatial distribution Summer Surface temperature Surface water Temperature data Temperature gradients Upwelling Wind Yangtze River Zhoushan |
title | Remote-Sensing Estimation of Upwelling-Frequent Areas in the Adjacent Waters of Zhoushan (China) |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T08%3A35%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Remote-Sensing%20Estimation%20of%20Upwelling-Frequent%20Areas%20in%20the%20Adjacent%20Waters%20of%20Zhoushan%20(China)&rft.jtitle=Journal%20of%20marine%20science%20and%20engineering&rft.au=Xiao,%20Teng&rft.date=2024-07-01&rft.volume=12&rft.issue=7&rft.spage=1085&rft.pages=1085-&rft.issn=2077-1312&rft.eissn=2077-1312&rft_id=info:doi/10.3390/jmse12071085&rft_dat=%3Cproquest_doaj_%3E3084929663%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c254t-e6702e0a70f7852df24ee48212e608d1d16f0dff0003fd8103e21c7c6fea04943%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3084929663&rft_id=info:pmid/&rfr_iscdi=true |