Temporal Variations of Water Quality and Pollution Source Structures Over 15 Years Reflect Effects of Water Pollution Control in the Upper Tuojiang River Basin, China
The temporal variations of water quality in rivers reflect the changes in the pollutant load of a basin to a certain extent. The temporal variations of pollution source structures reflect the changes in the contribution rates of different pollution sources. The temporal variations of water quality a...
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| Veröffentlicht in: | Water, air, and soil pollution air, and soil pollution, 2023-07, Vol.234 (7), p.465, Article 465 |
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| creator | Liu, Xiaocong Tong, Hongjin Chen, Qiang Wei, Yao Liu, Zhuang Zhang, Liling Zhang, Jingyi |
| description | The temporal variations of water quality in rivers reflect the changes in the pollutant load of a basin to a certain extent. The temporal variations of pollution source structures reflect the changes in the contribution rates of different pollution sources. The temporal variations of water quality and pollution source structures were combined in this study to investigate and analyze the water pollution control effects on different pollution sources over 15 years in the upper Tuojiang River Basin (UTRB). The seasonal trend decomposition using loess (STL), principal component analysis (PCA), factor analysis (FA), absolute principal component score (APCS), and multiple linear regression (MLR) were employed in the analysis. According to the results, except for TN, the concentrations of BOD, AN, and TP showed a downward trend. The precipitation had a strong influence on the pollution seasonal patterns. BOD and AN were primarily influenced by urban and rural living sources, while the primary sources for TN and TP were agricultural NPS and phosphate chemical industry sources, respectively. The systematic and comprehensive pollution control strategies in the third stage (2016–2020) have become more effective. In particular, the reduction of TP was successfully achieved by strengthening the pollution abatement on phosphate chemical industry sources. In contrast, the reduction in agricultural NPS emissions was not significant during the study period. |
| doi_str_mv | 10.1007/s11270-023-06503-5 |
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The temporal variations of pollution source structures reflect the changes in the contribution rates of different pollution sources. The temporal variations of water quality and pollution source structures were combined in this study to investigate and analyze the water pollution control effects on different pollution sources over 15 years in the upper Tuojiang River Basin (UTRB). The seasonal trend decomposition using loess (STL), principal component analysis (PCA), factor analysis (FA), absolute principal component score (APCS), and multiple linear regression (MLR) were employed in the analysis. According to the results, except for TN, the concentrations of BOD, AN, and TP showed a downward trend. The precipitation had a strong influence on the pollution seasonal patterns. BOD and AN were primarily influenced by urban and rural living sources, while the primary sources for TN and TP were agricultural NPS and phosphate chemical industry sources, respectively. The systematic and comprehensive pollution control strategies in the third stage (2016–2020) have become more effective. In particular, the reduction of TP was successfully achieved by strengthening the pollution abatement on phosphate chemical industry sources. In contrast, the reduction in agricultural NPS emissions was not significant during the study period.</description><identifier>ISSN: 0049-6979</identifier><identifier>EISSN: 1573-2932</identifier><identifier>DOI: 10.1007/s11270-023-06503-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Air quality management ; Analysis ; Atmospheric Protection/Air Quality Control/Air Pollution ; Chemical industry ; Climate Change/Climate Change Impacts ; Earth and Environmental Science ; Emissions ; Environment ; Environmental monitoring ; Factor analysis ; Herbicides ; Hydrogeology ; Loess ; Methylene blue ; Pesticides industry ; Phosphates ; Pollutant load ; Pollution abatement ; Pollution control ; Pollution load ; Pollution sources ; Principal components analysis ; River basins ; Rivers ; Seasonal variations ; Soil Science & Conservation ; Structures ; Temporal variations ; Water pollution ; Water pollution control ; Water pollution effects ; Water quality ; Water Quality/Water Pollution</subject><ispartof>Water, air, and soil pollution, 2023-07, Vol.234 (7), p.465, Article 465</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>COPYRIGHT 2023 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c337t-88ca94c856f7452200b30dfd4889b9579bfd6e805978408b77d2c3a02e2239ee3</cites><orcidid>0000-0001-7707-812X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11270-023-06503-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11270-023-06503-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Liu, Xiaocong</creatorcontrib><creatorcontrib>Tong, Hongjin</creatorcontrib><creatorcontrib>Chen, Qiang</creatorcontrib><creatorcontrib>Wei, Yao</creatorcontrib><creatorcontrib>Liu, Zhuang</creatorcontrib><creatorcontrib>Zhang, Liling</creatorcontrib><creatorcontrib>Zhang, Jingyi</creatorcontrib><title>Temporal Variations of Water Quality and Pollution Source Structures Over 15 Years Reflect Effects of Water Pollution Control in the Upper Tuojiang River Basin, China</title><title>Water, air, and soil pollution</title><addtitle>Water Air Soil Pollut</addtitle><description>The temporal variations of water quality in rivers reflect the changes in the pollutant load of a basin to a certain extent. The temporal variations of pollution source structures reflect the changes in the contribution rates of different pollution sources. The temporal variations of water quality and pollution source structures were combined in this study to investigate and analyze the water pollution control effects on different pollution sources over 15 years in the upper Tuojiang River Basin (UTRB). The seasonal trend decomposition using loess (STL), principal component analysis (PCA), factor analysis (FA), absolute principal component score (APCS), and multiple linear regression (MLR) were employed in the analysis. According to the results, except for TN, the concentrations of BOD, AN, and TP showed a downward trend. The precipitation had a strong influence on the pollution seasonal patterns. BOD and AN were primarily influenced by urban and rural living sources, while the primary sources for TN and TP were agricultural NPS and phosphate chemical industry sources, respectively. The systematic and comprehensive pollution control strategies in the third stage (2016–2020) have become more effective. In particular, the reduction of TP was successfully achieved by strengthening the pollution abatement on phosphate chemical industry sources. In contrast, the reduction in agricultural NPS emissions was not significant during the study period.</description><subject>Air quality management</subject><subject>Analysis</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Chemical industry</subject><subject>Climate Change/Climate Change Impacts</subject><subject>Earth and Environmental Science</subject><subject>Emissions</subject><subject>Environment</subject><subject>Environmental monitoring</subject><subject>Factor analysis</subject><subject>Herbicides</subject><subject>Hydrogeology</subject><subject>Loess</subject><subject>Methylene blue</subject><subject>Pesticides industry</subject><subject>Phosphates</subject><subject>Pollutant load</subject><subject>Pollution abatement</subject><subject>Pollution control</subject><subject>Pollution load</subject><subject>Pollution sources</subject><subject>Principal components analysis</subject><subject>River 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pollution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xiaocong</au><au>Tong, Hongjin</au><au>Chen, Qiang</au><au>Wei, Yao</au><au>Liu, Zhuang</au><au>Zhang, Liling</au><au>Zhang, Jingyi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Temporal Variations of Water Quality and Pollution Source Structures Over 15 Years Reflect Effects of Water Pollution Control in the Upper Tuojiang River Basin, China</atitle><jtitle>Water, air, and soil pollution</jtitle><stitle>Water Air Soil Pollut</stitle><date>2023-07-01</date><risdate>2023</risdate><volume>234</volume><issue>7</issue><spage>465</spage><pages>465-</pages><artnum>465</artnum><issn>0049-6979</issn><eissn>1573-2932</eissn><abstract>The temporal variations of water quality in rivers reflect the changes in the pollutant load of a basin to a certain extent. The temporal variations of pollution source structures reflect the changes in the contribution rates of different pollution sources. The temporal variations of water quality and pollution source structures were combined in this study to investigate and analyze the water pollution control effects on different pollution sources over 15 years in the upper Tuojiang River Basin (UTRB). The seasonal trend decomposition using loess (STL), principal component analysis (PCA), factor analysis (FA), absolute principal component score (APCS), and multiple linear regression (MLR) were employed in the analysis. According to the results, except for TN, the concentrations of BOD, AN, and TP showed a downward trend. The precipitation had a strong influence on the pollution seasonal patterns. BOD and AN were primarily influenced by urban and rural living sources, while the primary sources for TN and TP were agricultural NPS and phosphate chemical industry sources, respectively. The systematic and comprehensive pollution control strategies in the third stage (2016–2020) have become more effective. In particular, the reduction of TP was successfully achieved by strengthening the pollution abatement on phosphate chemical industry sources. In contrast, the reduction in agricultural NPS emissions was not significant during the study period.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11270-023-06503-5</doi><orcidid>https://orcid.org/0000-0001-7707-812X</orcidid></addata></record> |
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| subjects | Air quality management Analysis Atmospheric Protection/Air Quality Control/Air Pollution Chemical industry Climate Change/Climate Change Impacts Earth and Environmental Science Emissions Environment Environmental monitoring Factor analysis Herbicides Hydrogeology Loess Methylene blue Pesticides industry Phosphates Pollutant load Pollution abatement Pollution control Pollution load Pollution sources Principal components analysis River basins Rivers Seasonal variations Soil Science & Conservation Structures Temporal variations Water pollution Water pollution control Water pollution effects Water quality Water Quality/Water Pollution |
| title | Temporal Variations of Water Quality and Pollution Source Structures Over 15 Years Reflect Effects of Water Pollution Control in the Upper Tuojiang River Basin, China |
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