中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A multi-level method for groundwater remediation management accommodating non-competitive objectives

文献类型:期刊论文

作者Lu, Hongwei1; Li, Jing3; Chen, Yizhong2; Lu, Jingzhao2
刊名JOURNAL OF HYDROLOGY
出版日期2019-03-01
卷号570页码:531-543
关键词Multi-level programming Groundwater remediation Optimization Health risks
ISSN号0022-1694
DOI10.1016/j.jhydrol.2019.01.018
通讯作者Lu, Hongwei(luhw@igsnrr.ac.cn) ; Li, Jing(lijingb10@hebtu.edu.cn)
英文摘要No attempts have been found on dealing with a set of non-competitive (or leader-follower-interactive) objectives when performing optimal groundwater remediation management. This study presents a multi-level nonlinear simulation-optimization (ML-NSO) model for groundwater remediation management when objectives should be satisfied at multiple levels. This model is formulated by integrating health-risk assessment (at the residential concern level), energy assessment (at the energy concern level) and contamination forecasting (at the environmental concern level) within a general framework. The capabilities and effectiveness of the developed model are illustrated through a real-world case located at Cantuar, Saskatchewan in Canada. Results facilitate (a) generating non-compromised solutions in association with the optimal strategies regarding groundwater injection and extraction, (b) displaying the distribution of contaminant concentration and carcinogenic risks for human health, and estimating the corresponding energy consumption, (c) resolving of conflicts and interactions among residential, energy, and environmental requirements. Moreover, the performance of ML-NSO model is enhanced by comparing with the single-level and multi-objective (SL-NSO and MO-NSO) models. Results show that ML-NSO model would assign higher priority on the residential and environmental concerns by tolerating a slight rise in energy cost The ML-NSO model would provide more comprehensive and systematic policies with considering the leader-follower relationship within system.
WOS关键词GREENHOUSE-GAS EMISSIONS ; BI-LEVEL OPTIMIZATION ; HUMAN-HEALTH-RISK ; VULNERABILITY ASSESSMENT ; WATER-RESOURCES ; MODEL ; SYSTEM ; SURFACE ; CONTAMINANTS ; DESIGN
资助项目National Natural Science Foundation of China[41890824] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20040301]
WOS研究方向Engineering ; Geology ; Water Resources
语种英语
WOS记录号WOS:000460709400044
出版者ELSEVIER SCIENCE BV
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/49221]  
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.Hebei Normal Univ, Coll Resource & Environm Sci, Shijiazhuang 050024, Hebei, Peoples R China
推荐引用方式
GB/T 7714
Lu, Hongwei,Li, Jing,Chen, Yizhong,et al. A multi-level method for groundwater remediation management accommodating non-competitive objectives[J]. JOURNAL OF HYDROLOGY,2019,570:531-543.
APA Lu, Hongwei,Li, Jing,Chen, Yizhong,&Lu, Jingzhao.(2019).A multi-level method for groundwater remediation management accommodating non-competitive objectives.JOURNAL OF HYDROLOGY,570,531-543.
MLA Lu, Hongwei,et al."A multi-level method for groundwater remediation management accommodating non-competitive objectives".JOURNAL OF HYDROLOGY 570(2019):531-543.

入库方式: OAI收割

来源:地理科学与资源研究所

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