A Comprehensive Method for Water Environment Assessment considering Trends of Water Quality
Water quality is a significant issue, and its assessment plays an important role in environmental management and pollution control. In this paper, we proposed a comprehensive water quality assessment method which takes into account both absolute and temporal trends in water quality. As the first ste...
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Published in | Advances in Civil Engineering Vol. 2021; no. 1 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Hindawi
2021
John Wiley & Sons, Inc Wiley |
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Abstract | Water quality is a significant issue, and its assessment plays an important role in environmental management and pollution control. In this paper, we proposed a comprehensive water quality assessment method which takes into account both absolute and temporal trends in water quality. As the first step, we derived and applied a comprehensive pollution index (CPI) to characterize water pollution in 16 major tributaries to the Danjiangkou Reservoir, located in the upper reaches of the Hanjiang River in China. Next, we used Spearman’s rank correlation analysis to quantify temporal CPI trends in each tributary. As the final step, we conducted principal component analysis (PCA) using data on 8 water quality parameters and the temporal CPI trend from each of the 16 tributaries. The resultant comprehensive water quality assessment method identified tributaries, which stand to improve and threaten water quality in the Danjiangkou Reservoir from both immediate and future perspectives. |
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AbstractList | Water quality is a significant issue, and its assessment plays an important role in environmental management and pollution control. In this paper, we proposed a comprehensive water quality assessment method which takes into account both absolute and temporal trends in water quality. As the first step, we derived and applied a comprehensive pollution index (CPI) to characterize water pollution in 16 major tributaries to the Danjiangkou Reservoir, located in the upper reaches of the Hanjiang River in China. Next, we used Spearman’s rank correlation analysis to quantify temporal CPI trends in each tributary. As the final step, we conducted principal component analysis (PCA) using data on 8 water quality parameters and the temporal CPI trend from each of the 16 tributaries. The resultant comprehensive water quality assessment method identified tributaries, which stand to improve and threaten water quality in the Danjiangkou Reservoir from both immediate and future perspectives. |
Audience | Academic |
Author | Bi, Sheng Zhou, Jianzhong Wang, Li Wang, Zhimian Li, Yongrong Zhang, Zhenping Ding, Xiaoling |
Author_xml | – sequence: 1 givenname: Sheng orcidid: 0000-0002-3631-7216 surname: Bi fullname: Bi, Sheng organization: Changjiang River Scientific Research InstituteWuhanHubei 430010Chinacrsri.cn – sequence: 2 givenname: Li surname: Wang fullname: Wang, Li organization: South-to-North Water Diversion Project Midline Water Source Co.,Ltd.Shiyan 442700China – sequence: 3 givenname: Yongrong surname: Li fullname: Li, Yongrong organization: Changjiang River Scientific Research InstituteWuhanHubei 430010Chinacrsri.cn – sequence: 4 givenname: Zhenping surname: Zhang fullname: Zhang, Zhenping organization: Changjiang River Scientific Research InstituteWuhanHubei 430010Chinacrsri.cn – sequence: 5 givenname: Zhimian surname: Wang fullname: Wang, Zhimian organization: Changjiang River Scientific Research InstituteWuhanHubei 430010Chinacrsri.cn – sequence: 6 givenname: Xiaoling surname: Ding fullname: Ding, Xiaoling organization: Changjiang River Scientific Research InstituteWuhanHubei 430010Chinacrsri.cn – sequence: 7 givenname: Jianzhong surname: Zhou fullname: Zhou, Jianzhong organization: School of Civil and Hydraulic EngineeringHuazhong University of Science and TechnologyWuhanHubei 430010Chinahust.edu.cn |
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Cites_doi | 10.1016/j.ecolind.2018.09.025 10.1007/s41403-020-00094-x 10.1016/j.wse.2014.11.001 10.1007/s11269-018-1918-4 10.1016/j.jes.2020.09.018 10.1016/j.scitotenv.2017.02.226 10.1016/j.envpol.2018.10.076 10.1016/j.ejrh.2017.07.002 10.1016/j.proenv.2012.01.115 10.1016/j.ins.2018.05.003 10.1007/s12665-018-7872-x 10.1016/j.scitotenv.2019.02.423 10.18520/cs/v110/i1/76-80 10.1007/s12665-013-2770-8 10.1016/j.scitotenv.2018.04.135 10.1016/j.ecolind.2019.01.034 10.1016/j.gsd.2018.01.006 10.1016/j.eti.2018.06.013 10.12944/cwe.5.2.13 10.1016/j.ecoenv.2008.02.024 10.1016/j.watres.2012.03.028 |
ContentType | Journal Article |
Copyright | Copyright © 2021 Sheng Bi et al. COPYRIGHT 2021 John Wiley & Sons, Inc. Copyright © 2021 Sheng Bi et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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SubjectTerms | Analysis China Civil engineering Correlation analysis Datasets Environmental management Freshwater resources Management Methods Pollution Pollution control Pollution index Principal components analysis Quality assessment Quality standards Random variables Rankings Reservoirs Rivers Trends Tributaries Water Water pollution Water quality Water quality assessments |
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Title | A Comprehensive Method for Water Environment Assessment considering Trends of Water Quality |
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