Integrated watershed management through multi-level and stepwise optimization for allocation of total load of water pollutants at large scales
Yu, Sen2,3; Lu, Hongwei1
刊名ENVIRONMENTAL EARTH SCIENCES
2018-05-01
卷号77期号:10页码:13
关键词Watershed management Total water pollution control Optimal distribution Comprehensive weights Largescale basin Songhua River basin (SRB)
ISSN号1866-6280
DOI10.1007/s12665-018-7545-9
通讯作者Yu, Sen(yusenys@163.com) ; Lu, Hongwei(luhw@igsnrr.ac.cn)
英文摘要The contradictory problem between water quality-induced water shortage and shortage of water quantity has been increasingly emerging. This research aims to control the total pollutant discharge in a transboundary river basin, to improve the water environment, and enhance the capabilities of water resources management and decision-making. The organic connection between the control of total discharge quantity, the reduction of pollutant discharge, and the improvement of water environmental quality is established at large-scale from the perspective of comprehensive decision-making and management. In addition, this paper innovatively proposes a comprehensive watershed management model of multi-level and stepwise optimization for allocation of total load of water pollutants, which is integrated through the Gini coefficients method, the comprehensive weights method, and the minimal optimization model of environmental Gini coefficient. It is capable of optimizing distributions of total amount control of water pollutants in the whole basin and controlling units both spatially and temporally. The model is applied to the Songhua River basin to address the conflicts among regions' environmental fairness and environmental sustainability. According to the optimization results based on the proposed model, the scheme for the total load allocation of water pollutants developed through optimization is consistent with the actual present situation of Heilongjiang section. Major dischargers like Harbin, Suihua, Qiqihar, and Daqing are mainly controlled, and the control units with a low discharge load were rationally controlled. The study has shown that the model was useful in providing decision-making support for water pollution total amount control of the Songhua River basin.
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA20040300] ; China Postdoctoral Science Foundation-China[2016M591139] ; Fundamental Research Funds for the Central Universities-China[JB2016072] ; Major Science and Technology Program for Water Pollution Control and Treatment[2012ZX07601002]
WOS关键词GINI COEFFICIENT ; LORENZ CURVE ; HIERARCHY PROCESS ; POLLUTION-CONTROL ; QUALITY MODEL ; RIVER-BASIN ; EMISSIONS ; DISCHARGE ; CHINA ; GAS
WOS研究方向Environmental Sciences & Ecology ; Geology ; Water Resources
语种英语
出版者SPRINGER
WOS记录号WOS:000433291400010
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; China Postdoctoral Science Foundation-China ; Fundamental Research Funds for the Central Universities-China ; Major Science and Technology Program for Water Pollution Control and Treatment
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/54842]  
专题中国科学院地理科学与资源研究所
通讯作者Yu, Sen; Lu, Hongwei
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.North China Elect Power Univ, Sch Renewable Energy, Beijing 102206, Peoples R China
3.Chinese Acad Environm Planning, State Key Lab Environm Planning & Policy Simulat, Beijing 100012, Peoples R China
推荐引用方式
GB/T 7714
Yu, Sen,Lu, Hongwei. Integrated watershed management through multi-level and stepwise optimization for allocation of total load of water pollutants at large scales[J]. ENVIRONMENTAL EARTH SCIENCES,2018,77(10):13.
APA Yu, Sen,&Lu, Hongwei.(2018).Integrated watershed management through multi-level and stepwise optimization for allocation of total load of water pollutants at large scales.ENVIRONMENTAL EARTH SCIENCES,77(10),13.
MLA Yu, Sen,et al."Integrated watershed management through multi-level and stepwise optimization for allocation of total load of water pollutants at large scales".ENVIRONMENTAL EARTH SCIENCES 77.10(2018):13.
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