Framework of wind joint analysis for different lake regions and its effects on the water quality

Water quality of Lake Taihu (LT) is paid wide attention, and the wind field makes wind-induced flow, significantly impacting the water quality. As a wide lake, the wind field suffers spatial and temporal changes. The correlated relationship among the wind fields for different lake regions has not be...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Science of the total environment 2023-12, Vol.905, p.167003-167003, Article 167003
Hauptverfasser: He, Wei, Zeng, Qinglin, Chen, Sheng, Ma, Chao, Xu, Hui
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 167003
container_issue
container_start_page 167003
container_title The Science of the total environment
container_volume 905
creator He, Wei
Zeng, Qinglin
Chen, Sheng
Ma, Chao
Xu, Hui
description Water quality of Lake Taihu (LT) is paid wide attention, and the wind field makes wind-induced flow, significantly impacting the water quality. As a wide lake, the wind field suffers spatial and temporal changes. The correlated relationship among the wind fields for different lake regions has not been studied, and the joint effects of wind field on the water quality is still unknown. Hence, this paper proposed a framework of wind joint analysis for different lake regions and modelling its effects on the water quality, including joint analysis of wind field for different lake regions using Copula function, random time series generation of wind field using Monte-Carlo simulation, and hydrodynamic and water quality numerical simulation. Taking the Lake Taihu (LT) as study case, the joint relationships of wind field for four lake regions were analyzed, and the CODMN, TP and TN distributions under different wind fields were simulated. This paper showed the following: (1) The relationship between the wind speed and direction was weak, and the correlated relationships among the wind fields for four lake regions were significant (ρ > 0.5). (2) The water quality of LT was more influenced by the wind direction rather than the wind speed, with an impacting ratio of ∼4.5. (3) The discharged weighted angle of runoff outflow (DWARO) was a practical index to improve the water quality. When regulating the input/output runoff discharge, water diversion project and water intakes in practice, the administrations should make the DWARO less than or equal to the average wind direction, to decrease the average pollutant concentration and improve the water quality of lake and intake. The proposed framework and results of LT could be extended to other wide shallow lakes to support the environmental management and basin runoff regulation. [Display omitted] •A framework of wind joint analysis and water quality responses was proposed.•Copula joint analysis, Monte-Carlo simulation and numerical model were combined.•Correlated relationship among the wind fields of four regions was significant.•Impacting ratio of wind direction to the wind speed on the water quality was ∼4.5.•DWARO was an important index for the water quality environment of Lake Taihu.
doi_str_mv 10.1016/j.scitotenv.2023.167003
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3040470586</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0048969723056280</els_id><sourcerecordid>3040470586</sourcerecordid><originalsourceid>FETCH-LOGICAL-c242t-296f01779af0c4ad837f041969759596fc366e1ba9b4c54aed4e176c157948263</originalsourceid><addsrcrecordid>eNqFkE1PwzAMQCMEEmPwG8iRS0uSpkl7nCa-pElc4Byy1IFsXbMl2ab9ezINcZ0vluxny34I3VNSUkLF46KMxiWfYNiVjLCqpEISUl2gEW1kW1DCxCUaEcKbohWtvEY3MS5IDtnQEfp6DnoFex-W2Fu8d0OHF94NCetB94foIrY-4M5ZCwFyuddLwAG-nR9iZjrsUsSQuyZnP-D0A3ivEwS82erepcMturK6j3D3l8fo8_npY_pazN5f3qaTWWEYZ6lgrbCEStlqSwzXXVNJSzg9Xly3dW6aSgigc93Ouam5ho4DlcLQWra8YaIao4fT3nXwmy3EpFYuGuh7PYDfRlURTrgkdXMeZY2oZcMpqzMqT6gJPsYAVq2DW-lwUJSoo361UP_61VG_OunPk5PTJOSndw7CkYPBQOdClqU6787u-AVGQ5Jz</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2865784125</pqid></control><display><type>article</type><title>Framework of wind joint analysis for different lake regions and its effects on the water quality</title><source>Elsevier ScienceDirect Journals</source><creator>He, Wei ; Zeng, Qinglin ; Chen, Sheng ; Ma, Chao ; Xu, Hui</creator><creatorcontrib>He, Wei ; Zeng, Qinglin ; Chen, Sheng ; Ma, Chao ; Xu, Hui</creatorcontrib><description>Water quality of Lake Taihu (LT) is paid wide attention, and the wind field makes wind-induced flow, significantly impacting the water quality. As a wide lake, the wind field suffers spatial and temporal changes. The correlated relationship among the wind fields for different lake regions has not been studied, and the joint effects of wind field on the water quality is still unknown. Hence, this paper proposed a framework of wind joint analysis for different lake regions and modelling its effects on the water quality, including joint analysis of wind field for different lake regions using Copula function, random time series generation of wind field using Monte-Carlo simulation, and hydrodynamic and water quality numerical simulation. Taking the Lake Taihu (LT) as study case, the joint relationships of wind field for four lake regions were analyzed, and the CODMN, TP and TN distributions under different wind fields were simulated. This paper showed the following: (1) The relationship between the wind speed and direction was weak, and the correlated relationships among the wind fields for four lake regions were significant (ρ &gt; 0.5). (2) The water quality of LT was more influenced by the wind direction rather than the wind speed, with an impacting ratio of ∼4.5. (3) The discharged weighted angle of runoff outflow (DWARO) was a practical index to improve the water quality. When regulating the input/output runoff discharge, water diversion project and water intakes in practice, the administrations should make the DWARO less than or equal to the average wind direction, to decrease the average pollutant concentration and improve the water quality of lake and intake. The proposed framework and results of LT could be extended to other wide shallow lakes to support the environmental management and basin runoff regulation. [Display omitted] •A framework of wind joint analysis and water quality responses was proposed.•Copula joint analysis, Monte-Carlo simulation and numerical model were combined.•Correlated relationship among the wind fields of four regions was significant.•Impacting ratio of wind direction to the wind speed on the water quality was ∼4.5.•DWARO was an important index for the water quality environment of Lake Taihu.</description><identifier>ISSN: 0048-9697</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2023.167003</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>basins ; Copula joint analysis ; environment ; environmental management ; Hydrodynamic ; hydrodynamics ; Lake Taihu ; lakes ; mathematical models ; Monte Carlo method ; Monte-Carlo simulation ; pollutants ; runoff ; time series analysis ; Water quality ; Water quality model ; wind direction ; Wind field ; wind speed</subject><ispartof>The Science of the total environment, 2023-12, Vol.905, p.167003-167003, Article 167003</ispartof><rights>2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c242t-296f01779af0c4ad837f041969759596fc366e1ba9b4c54aed4e176c157948263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0048969723056280$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>He, Wei</creatorcontrib><creatorcontrib>Zeng, Qinglin</creatorcontrib><creatorcontrib>Chen, Sheng</creatorcontrib><creatorcontrib>Ma, Chao</creatorcontrib><creatorcontrib>Xu, Hui</creatorcontrib><title>Framework of wind joint analysis for different lake regions and its effects on the water quality</title><title>The Science of the total environment</title><description>Water quality of Lake Taihu (LT) is paid wide attention, and the wind field makes wind-induced flow, significantly impacting the water quality. As a wide lake, the wind field suffers spatial and temporal changes. The correlated relationship among the wind fields for different lake regions has not been studied, and the joint effects of wind field on the water quality is still unknown. Hence, this paper proposed a framework of wind joint analysis for different lake regions and modelling its effects on the water quality, including joint analysis of wind field for different lake regions using Copula function, random time series generation of wind field using Monte-Carlo simulation, and hydrodynamic and water quality numerical simulation. Taking the Lake Taihu (LT) as study case, the joint relationships of wind field for four lake regions were analyzed, and the CODMN, TP and TN distributions under different wind fields were simulated. This paper showed the following: (1) The relationship between the wind speed and direction was weak, and the correlated relationships among the wind fields for four lake regions were significant (ρ &gt; 0.5). (2) The water quality of LT was more influenced by the wind direction rather than the wind speed, with an impacting ratio of ∼4.5. (3) The discharged weighted angle of runoff outflow (DWARO) was a practical index to improve the water quality. When regulating the input/output runoff discharge, water diversion project and water intakes in practice, the administrations should make the DWARO less than or equal to the average wind direction, to decrease the average pollutant concentration and improve the water quality of lake and intake. The proposed framework and results of LT could be extended to other wide shallow lakes to support the environmental management and basin runoff regulation. [Display omitted] •A framework of wind joint analysis and water quality responses was proposed.•Copula joint analysis, Monte-Carlo simulation and numerical model were combined.•Correlated relationship among the wind fields of four regions was significant.•Impacting ratio of wind direction to the wind speed on the water quality was ∼4.5.•DWARO was an important index for the water quality environment of Lake Taihu.</description><subject>basins</subject><subject>Copula joint analysis</subject><subject>environment</subject><subject>environmental management</subject><subject>Hydrodynamic</subject><subject>hydrodynamics</subject><subject>Lake Taihu</subject><subject>lakes</subject><subject>mathematical models</subject><subject>Monte Carlo method</subject><subject>Monte-Carlo simulation</subject><subject>pollutants</subject><subject>runoff</subject><subject>time series analysis</subject><subject>Water quality</subject><subject>Water quality model</subject><subject>wind direction</subject><subject>Wind field</subject><subject>wind speed</subject><issn>0048-9697</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkE1PwzAMQCMEEmPwG8iRS0uSpkl7nCa-pElc4Byy1IFsXbMl2ab9ezINcZ0vluxny34I3VNSUkLF46KMxiWfYNiVjLCqpEISUl2gEW1kW1DCxCUaEcKbohWtvEY3MS5IDtnQEfp6DnoFex-W2Fu8d0OHF94NCetB94foIrY-4M5ZCwFyuddLwAG-nR9iZjrsUsSQuyZnP-D0A3ivEwS82erepcMturK6j3D3l8fo8_npY_pazN5f3qaTWWEYZ6lgrbCEStlqSwzXXVNJSzg9Xly3dW6aSgigc93Ouam5ho4DlcLQWra8YaIao4fT3nXwmy3EpFYuGuh7PYDfRlURTrgkdXMeZY2oZcMpqzMqT6gJPsYAVq2DW-lwUJSoo361UP_61VG_OunPk5PTJOSndw7CkYPBQOdClqU6787u-AVGQ5Jz</recordid><startdate>20231220</startdate><enddate>20231220</enddate><creator>He, Wei</creator><creator>Zeng, Qinglin</creator><creator>Chen, Sheng</creator><creator>Ma, Chao</creator><creator>Xu, Hui</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20231220</creationdate><title>Framework of wind joint analysis for different lake regions and its effects on the water quality</title><author>He, Wei ; Zeng, Qinglin ; Chen, Sheng ; Ma, Chao ; Xu, Hui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c242t-296f01779af0c4ad837f041969759596fc366e1ba9b4c54aed4e176c157948263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>basins</topic><topic>Copula joint analysis</topic><topic>environment</topic><topic>environmental management</topic><topic>Hydrodynamic</topic><topic>hydrodynamics</topic><topic>Lake Taihu</topic><topic>lakes</topic><topic>mathematical models</topic><topic>Monte Carlo method</topic><topic>Monte-Carlo simulation</topic><topic>pollutants</topic><topic>runoff</topic><topic>time series analysis</topic><topic>Water quality</topic><topic>Water quality model</topic><topic>wind direction</topic><topic>Wind field</topic><topic>wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Wei</creatorcontrib><creatorcontrib>Zeng, Qinglin</creatorcontrib><creatorcontrib>Chen, Sheng</creatorcontrib><creatorcontrib>Ma, Chao</creatorcontrib><creatorcontrib>Xu, Hui</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Wei</au><au>Zeng, Qinglin</au><au>Chen, Sheng</au><au>Ma, Chao</au><au>Xu, Hui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Framework of wind joint analysis for different lake regions and its effects on the water quality</atitle><jtitle>The Science of the total environment</jtitle><date>2023-12-20</date><risdate>2023</risdate><volume>905</volume><spage>167003</spage><epage>167003</epage><pages>167003-167003</pages><artnum>167003</artnum><issn>0048-9697</issn><eissn>1879-1026</eissn><abstract>Water quality of Lake Taihu (LT) is paid wide attention, and the wind field makes wind-induced flow, significantly impacting the water quality. As a wide lake, the wind field suffers spatial and temporal changes. The correlated relationship among the wind fields for different lake regions has not been studied, and the joint effects of wind field on the water quality is still unknown. Hence, this paper proposed a framework of wind joint analysis for different lake regions and modelling its effects on the water quality, including joint analysis of wind field for different lake regions using Copula function, random time series generation of wind field using Monte-Carlo simulation, and hydrodynamic and water quality numerical simulation. Taking the Lake Taihu (LT) as study case, the joint relationships of wind field for four lake regions were analyzed, and the CODMN, TP and TN distributions under different wind fields were simulated. This paper showed the following: (1) The relationship between the wind speed and direction was weak, and the correlated relationships among the wind fields for four lake regions were significant (ρ &gt; 0.5). (2) The water quality of LT was more influenced by the wind direction rather than the wind speed, with an impacting ratio of ∼4.5. (3) The discharged weighted angle of runoff outflow (DWARO) was a practical index to improve the water quality. When regulating the input/output runoff discharge, water diversion project and water intakes in practice, the administrations should make the DWARO less than or equal to the average wind direction, to decrease the average pollutant concentration and improve the water quality of lake and intake. The proposed framework and results of LT could be extended to other wide shallow lakes to support the environmental management and basin runoff regulation. [Display omitted] •A framework of wind joint analysis and water quality responses was proposed.•Copula joint analysis, Monte-Carlo simulation and numerical model were combined.•Correlated relationship among the wind fields of four regions was significant.•Impacting ratio of wind direction to the wind speed on the water quality was ∼4.5.•DWARO was an important index for the water quality environment of Lake Taihu.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.scitotenv.2023.167003</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0048-9697
ispartof The Science of the total environment, 2023-12, Vol.905, p.167003-167003, Article 167003
issn 0048-9697
1879-1026
language eng
recordid cdi_proquest_miscellaneous_3040470586
source Elsevier ScienceDirect Journals
subjects basins
Copula joint analysis
environment
environmental management
Hydrodynamic
hydrodynamics
Lake Taihu
lakes
mathematical models
Monte Carlo method
Monte-Carlo simulation
pollutants
runoff
time series analysis
Water quality
Water quality model
wind direction
Wind field
wind speed
title Framework of wind joint analysis for different lake regions and its effects on the water quality
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T17%3A32%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Framework%20of%20wind%20joint%20analysis%20for%20different%20lake%20regions%20and%20its%20effects%20on%20the%20water%20quality&rft.jtitle=The%20Science%20of%20the%20total%20environment&rft.au=He,%20Wei&rft.date=2023-12-20&rft.volume=905&rft.spage=167003&rft.epage=167003&rft.pages=167003-167003&rft.artnum=167003&rft.issn=0048-9697&rft.eissn=1879-1026&rft_id=info:doi/10.1016/j.scitotenv.2023.167003&rft_dat=%3Cproquest_cross%3E3040470586%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2865784125&rft_id=info:pmid/&rft_els_id=S0048969723056280&rfr_iscdi=true