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DOI | 10.2166/wcc.2018.024 |
Modeling of extreme risk in river water quality under climate change | |
Rehana S.; Dhanya C.T. | |
发表日期 | 2018 |
ISSN | 20402244 |
起始页码 | 512 |
结束页码 | 524 |
卷号 | 9期号:3 |
英文摘要 | A river water quality management model under average climatic conditions may not be able to account for the extreme risk of low water quality which is more prominent under an increase in river water temperature and altered river flows. A modeling framework is developed to assess the risk of river low water quality extremes by integrating a statistical downscaling model based on Canonical Correlation Analysis, risk quantification model based on Frank Archimedean Copula function and multiple logistic regression model integrated with a river water quality simulation model, QUAL2 K. The results reveal that the combination of predicted decrease in low flows of approximately 57% and increase in maximum river water temperatures of approximately 1.2∘C has shown an increase of about 46% in risk of low water quality conditions for the future scenarios along Tunga-Bhadra River, India. The extreme risk of low water quality is observed to increase by 50.6% for the period 2020– 2040 when compared with the current extreme conditions of 4.5% and average risk conditions of about 3% for the period 1988–2005. The study captured the occurrence of extremes of low water quality with evidence of a strong link between climate and water quality impairment events. © IWA Publishing 2018. |
英文关键词 | Canonical Correlation Analysis; Copula; Multiple logistic regression model; QUAL2 K; Statistical downscaling |
语种 | 英语 |
scopus关键词 | Climate change; Correlation methods; Quality management; Regression analysis; Risk analysis; Risk assessment; Risk perception; Rivers; Temperature; Water conservation; Water management; Water quality; Canonical correlation analysis; Climatic conditions; Copula; Multiple logistic regression; Risk quantification; River water quality; Statistical downscaling; Water quality impairment; Quality control; canonical analysis; climate change; downscaling; extreme event; geostatistics; numerical model; regression analysis; risk assessment; river flow; river water; water quality; Tunga |
来源期刊 | Journal of Water and Climate Change
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/148027 |
作者单位 | Laboratory for Spatial Informatics, International Institute of Information Technology, Hyderabad, 500032, India; Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, 110 016, India |
推荐引用方式 GB/T 7714 | Rehana S.,Dhanya C.T.. Modeling of extreme risk in river water quality under climate change[J],2018,9(3). |
APA | Rehana S.,&Dhanya C.T..(2018).Modeling of extreme risk in river water quality under climate change.Journal of Water and Climate Change,9(3). |
MLA | Rehana S.,et al."Modeling of extreme risk in river water quality under climate change".Journal of Water and Climate Change 9.3(2018). |
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