中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimal groundwater security management policies by control of inexact health risks under dual uncertainty in slope factors

文献类型:期刊论文

作者Lu, Hongwei1; Li, Jing2; Ren, Lixia3; Chen, Yizhong2
刊名CHEMOSPHERE
出版日期2018-05-01
卷号198页码:161-173
关键词Groundwater remediation Optimization Environmental standard Health risk Uncertainty
ISSN号0045-6535
DOI10.1016/j.chemosphere.2018.01.121
通讯作者Lu, Hongwei(luhw@igsnrr.ac.cn) ; Li, Jing()
英文摘要Groundwater remediation is a complicated system with time-consuming and costly challenges, which should be carefully controlled by appropriate groundwater management. This study develops an integrated optimization method for groundwater remediation management regarding cost, contamination distribution and health risk under multiple uncertainties. The integration of health risk into groundwater remediation optimization management is capable of not only adequately considering the influence of health risk on optimal remediation strategies, but also simultaneously completing remediation optimization design and risk assessment. A fuzzy chance-constrained programming approach is presented to handle multiple uncertain properties in the process of health risk assessment. The capabilities and effectiveness of the developed method are illustrated through an application of a naphthalene contaminated case in Anhui, China. Results indicate that (a) the pump-and-treat remediation system leads to a low naphthalene contamination but high remediation cost for a short-time remediation, and natural attenuation significantly affects naphthalene removal from groundwater for a long-time remediation; (b) the weighting coefficients have significant influences on the remediation cost and the performances both for naphthalene concentrations and health risks; (c) an increased level of slope factor (sf) for naphthalene corresponds to more optimal strategies characterized by higher environmental benefits and lower economic sacrifice. The developed method could be simultaneously beneficial for public health and environmental protection. Decision makers could obtain the most appropriate remediation strategies according to their specific requirements with high flexibility of economic, environmental, and risk concerns. (C) 2018 Elsevier Ltd. All rights reserved.
WOS关键词GREENHOUSE-GAS EMISSIONS ; DECISION-MAKING APPROACH ; CONTAMINATED GROUNDWATER ; MULTIOBJECTIVE OPTIMIZATION ; HETEROGENEOUS AQUIFERS ; PROGRAMMING-MODEL ; ENERGY-SYSTEMS ; REMEDIATION ; WATER ; QUALITY
资助项目China National Funds for Excellent Young Scientists[51422903] ; China Postdoctoral Science Foundation[2016M600069] ; Shanxi 1331 Project Key Subjects Construction[1331KSC] ; Fundamental Research Funds for the Central Universities
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000427338800019
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构China National Funds for Excellent Young Scientists ; China Postdoctoral Science Foundation ; Shanxi 1331 Project Key Subjects Construction ; Fundamental Research Funds for the Central Universities
源URL[http://ir.igsnrr.ac.cn/handle/311030/57242]  
专题中国科学院地理科学与资源研究所
通讯作者Lu, Hongwei; Li, Jing
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.Shanxi Inst Energy, Jinzhong 030600, Shanxi, Peoples R China
推荐引用方式
GB/T 7714
Lu, Hongwei,Li, Jing,Ren, Lixia,et al. Optimal groundwater security management policies by control of inexact health risks under dual uncertainty in slope factors[J]. CHEMOSPHERE,2018,198:161-173.
APA Lu, Hongwei,Li, Jing,Ren, Lixia,&Chen, Yizhong.(2018).Optimal groundwater security management policies by control of inexact health risks under dual uncertainty in slope factors.CHEMOSPHERE,198,161-173.
MLA Lu, Hongwei,et al."Optimal groundwater security management policies by control of inexact health risks under dual uncertainty in slope factors".CHEMOSPHERE 198(2018):161-173.

入库方式: OAI收割

来源:地理科学与资源研究所

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