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Assessing multivariate effect of best management practices on non-point source pollution management using the coupled Copula-SWAT model

文献类型：期刊论文

作者Ding, Wenlu4; Xia, Jun1,4; She, Dunxian4; Zhang, Xiaoyue2; Chen, Ting4; Huang, Sheng4; Zheng, Heshengyuan3
刊名ECOLOGICAL INDICATORS
出版日期2023-09-01
卷号153页码:12
关键词Best management practices SWAT Vine Copula Combined effect Risk-based decision making Non-point source pollution
ISSN号1470-160X
DOI10.1016/j.ecolind.2023.110393
通讯作者Xia, Jun(xiaj@igsnrr.ac.cn) ; She, Dunxian(shedunxian@whu.edu.cn)
英文摘要Best management practices (BMPs) have wide application in non-point source (NPS) pollution abatement in agricultural watersheds. Multivariate analysis of BMPs reduction effects taking their randomness and correla-tions into account is significant to spatial optimization of BMPs configuration. However, quantifying the cor-relations among high-dimensional random variables of BMPs effects is challenging and remains unexplored thoroughly. This study coupled the SWAT with the Vine Copula model to conduct multivariate analysis of BMPs reduction effects considering their randomness caused by hydro-meteorological variability along with correla-tions among different indicators (ammonium nitrogen, NH3-N; and total phosphorus, TP) and BMPs. The coupled model was applied to evaluate the multi-indicator effect of individual BMP and combined effect of various BMPs in the upper Boyang River basin, China. Results showed that bivariate copulas and three-dimensional vine copulas can efficaciously describe the dependence of BMPs effects. Simulation results indicate 43-100% prob-abilities of 45% NH3-N loads reduction, while 0-79% probabilities of 45% TP loads reduction for combined BMPs scenarios. Besides, the joint probabilities of different indicators in combined BMPs scenarios are generally lower than separate probabilities with 0-21% decrease, which is similar to individual BMP. Generally, joint proba-bilities using copulas can provide more accurate and factual knowledge of the risk and dependability of implementation of BMPs than univariate variables. The proposed model can conduct multivariate analysis of BMPs reduction effects and has great prospect in the future risk-based decision-making of NPS pollution management.
WOS关键词STOCHASTIC WEATHER GENERATORS ; WATER-QUALITY ; CONSERVATION PRACTICES ; DECISION-SUPPORT ; CLIMATE ; PROBABILITY ; REDUCTION ; HYDROLOGY ; MAXIMUM ; LOAD
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040304] ; National Natural Science Foundation of China[41890823] ; Water Science and Technology Planning Project of Jiangxi Province, China[201922ZDKT17]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001011217000001
出版者ELSEVIER
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Water Science and Technology Planning Project of Jiangxi Province, China
源URL[http://ir.igsnrr.ac.cn/handle/311030/195246]  
专题中国科学院地理科学与资源研究所
通讯作者Xia, Jun; She, Dunxian
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China
3.Guangdong Res Inst Water Resources & Hydropower, Guangzhou 510635, Guangdong, Peoples R China
4.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China
推荐引用方式
GB/T 7714		 Ding, Wenlu,Xia, Jun,She, Dunxian,et al. Assessing multivariate effect of best management practices on non-point source pollution management using the coupled Copula-SWAT model[J]. ECOLOGICAL INDICATORS,2023,153:12.
APA Ding, Wenlu.,Xia, Jun.,She, Dunxian.,Zhang, Xiaoyue.,Chen, Ting.,...&Zheng, Heshengyuan.(2023).Assessing multivariate effect of best management practices on non-point source pollution management using the coupled Copula-SWAT model.ECOLOGICAL INDICATORS,153,12.
MLA Ding, Wenlu,et al."Assessing multivariate effect of best management practices on non-point source pollution management using the coupled Copula-SWAT model".ECOLOGICAL INDICATORS 153(2023):12.

入库方式： OAI收割

来源：地理科学与资源研究所

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