A cloud model based multi-attribute decision making approach for selection and evaluation of groundwater management schemes
文献类型：期刊论文
| 作者 | Lu, Hongwei1; Ren, Lixia2; Chen, Yizhong3; Tian, Peipei3; Liu, Jia3 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2017-12-01 |
| 卷号 | 555页码:881-893 |
| 关键词 | Groundwater remediation Multi-attribute analysis 1,1-Dichloroethane Cloud model Health risk assessment |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2017.10.009 |
| 通讯作者 | Ren, Lixia(renlx@ncepu.edu.cn) |
| 英文摘要 | Due to the uncertainty (i.e., fuzziness, stochasticity and imprecision) existed simultaneously during the process for groundwater remediation, the accuracy of ranking results obtained by the traditional methods has been limited. This paper proposes a cloud model based multi-attribute decision making framework (CM-MADM) with Monte Carlo for the contaminated-groundwater remediation strategies selection. The cloud model is used to handle imprecise numerical quantities, which can describe the fuzziness and stochasticity of the information fully and precisely. In the proposed approach, the contaminated concentrations are aggregated via the backward cloud generator and the weights of attributes are calculated by employing the weight cloud module. A case study on the remedial alternative selection for a contaminated site suffering from a 1,1,1-trichloroethylene leakage problem in Shanghai, China is conducted to illustrate the efficiency and applicability of the developed approach. Totally, an attribute system which consists of ten attributes were used for evaluating each alternative through the developed method under uncertainty, including daily total pumping rate, total cost and cloud model based health risk. Results indicated that A14 was evaluated to be the most preferred alternative for the 5-year, A5 for the 10-year, A4 for the 15-year and A6 for the 20-year remediation. (C) 2017 Elsevier B.V. All rights reserved. |
| WOS关键词 | PETROLEUM-CONTAMINATED SITES ; REMEDIATION DESIGN ; PARTICLE SWARM ; MCDA APPROACH ; OPTIMIZATION ; UNCERTAINTY ; CHINA ; TECHNOLOGIES ; METHODOLOGY ; STRATEGIES |
| 资助项目 | China National Funds for Excellent Young Scientists[51422903] ; National Natural Science Foundation of China[41271540] ; Fundamental Research Funds for the Central Universities ; Shanxi 1331 Project Key Subjects Construction[1331KSC] |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000418107600067 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | China National Funds for Excellent Young Scientists ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Shanxi 1331 Project Key Subjects Construction |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/60820]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ren, Lixia |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Shanxi Inst Energy, Taiyuan 030600, Shanxi, Peoples R China 3.North China Elect Power Univ, Sch Renewable Energy, 2 Beinong Rd, Beijing 102206, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Hongwei,Ren, Lixia,Chen, Yizhong,et al. A cloud model based multi-attribute decision making approach for selection and evaluation of groundwater management schemes[J]. JOURNAL OF HYDROLOGY,2017,555:881-893. |
| APA | Lu, Hongwei,Ren, Lixia,Chen, Yizhong,Tian, Peipei,&Liu, Jia.(2017).A cloud model based multi-attribute decision making approach for selection and evaluation of groundwater management schemes.JOURNAL OF HYDROLOGY,555,881-893. |
| MLA | Lu, Hongwei,et al."A cloud model based multi-attribute decision making approach for selection and evaluation of groundwater management schemes".JOURNAL OF HYDROLOGY 555(2017):881-893. |
入库方式： OAI收割
来源：地理科学与资源研究所
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