Optimal groundwater security management policies by control of inexact health risks under dual uncertainty in slope factors | |
Lu, Hongwei1; Li, Jing2; Ren, Lixia3; Chen, Yizhong2 | |
刊名 | CHEMOSPHERE |
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 |
DOI | 10.1016/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. |
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关键词 | GREENHOUSE-GAS EMISSIONS ; DECISION-MAKING APPROACH ; CONTAMINATED GROUNDWATER ; MULTIOBJECTIVE OPTIMIZATION ; HETEROGENEOUS AQUIFERS ; PROGRAMMING-MODEL ; ENERGY-SYSTEMS ; REMEDIATION ; WATER ; QUALITY |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000427338800019 |
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 |
内容类型 | 期刊论文 |
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. |
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