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
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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 |
DOI | 10.1016/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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