Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.ecolind.2021.108124 |
Integration of GIS, improved entropy and improved catastrophe methods for evaluating suitable locations for well drilling in arid and semi-arid plains | |
Meng, Fanao; Liang, Xiujuan; Xiao, Changlai; Wang, Ge | |
通讯作者 | Xiao, CL (corresponding author), Jilin Univ, Key Lab Groundwater Resources & Environm, Minist Educ, Changchun 130021, Peoples R China. |
来源期刊 | ECOLOGICAL INDICATORS
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ISSN | 1470-160X |
EISSN | 1872-7034 |
出版年 | 2021 |
卷号 | 131 |
英文摘要 | In arid and semi-arid regions, groundwater plays an important role in both local economic and population development. Therefore, the cost effective and rapid assessment of locations that are suitable for well drilling is crucial. In this study, the improved entropy method and the improved catastrophe method, coupled with geographic information system -based multi-criteria decision analysis, were adopted as a potential method for groundwater exploration. Eight criteria were selected, namely, soil type, land use/land cover, elevation, slope, groundwater level, average rainfall, cumulative sand thickness, and distance to surface water bodies. The improved entropy method and improved catastrophe method were used to assign criteria weights, and the map of the groundwater potential zones was then generated using geographic information system -based multi-criteria decision analysis. Finally, 63 actual potentialities corresponding to the drilled boreholes scattered in the study area and the receiver operating characteristics curve were used to validate the accuracy of the generated the groundwater potential zones. The results showed accuracies of 0.808 and 0.811 for the improved entropy method and improved catastrophe method, respectively. Therefore, these methods are suitable for the evaluation of groundwater potential. Additionally, the adoption of criteria removal and single criterion sensitivity analysis showed that cumulative sand thickness, groundwater level, and average rainfall are the most influential parameters in the evaluation model. Therefore, to solve the local groundwater crisis, an increase in rainfall collection and a decrease in groundwater extraction is recommended. |
英文关键词 | Groundwater potential evaluation Improved entropy method Improved catastrophe method Multi-criteria decision analysis Sensitivity analysis |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000704573400007 |
WOS关键词 | CRITERIA DECISION-ANALYSIS ; SPATIAL PREDICTION ; HIERARCHY PROCESS ; GROUNDWATER ; INFORMATION ; AQUIFER ; SUSCEPTIBILITY ; DELINEATION ; DISTRICT ; ACCURACY |
WOS类目 | Biodiversity Conservation ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/362996 |
作者单位 | [Meng, Fanao; Liang, Xiujuan; Xiao, Changlai; Wang, Ge] Jilin Univ, Key Lab Groundwater Resources & Environm, Minist Educ, Changchun 130021, Peoples R China; [Meng, Fanao; Liang, Xiujuan; Xiao, Changlai; Wang, Ge] Natl Local Joint Engn Lab Inst Convers, Drilling & Exploitat Technol Oil Shale, Changchun 130021, Jilin, Peoples R China; [Meng, Fanao; Liang, Xiujuan; Xiao, Changlai; Wang, Ge] Jilin Univ, Coll New Energy & Environm, Changchun 130021, Jilin, Peoples R China; [Meng, Fanao; Liang, Xiujuan; Xiao, Changlai; Wang, Ge] Jilin Univ, Jilin Prov Key Lab Water Resources & Environm, Changchun 130021, Jilin, Peoples R China |
推荐引用方式 GB/T 7714 | Meng, Fanao,Liang, Xiujuan,Xiao, Changlai,et al. Integration of GIS, improved entropy and improved catastrophe methods for evaluating suitable locations for well drilling in arid and semi-arid plains[J],2021,131. |
APA | Meng, Fanao,Liang, Xiujuan,Xiao, Changlai,&Wang, Ge.(2021).Integration of GIS, improved entropy and improved catastrophe methods for evaluating suitable locations for well drilling in arid and semi-arid plains.ECOLOGICAL INDICATORS,131. |
MLA | Meng, Fanao,et al."Integration of GIS, improved entropy and improved catastrophe methods for evaluating suitable locations for well drilling in arid and semi-arid plains".ECOLOGICAL INDICATORS 131(2021). |
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