Knowledge Resource Center for Ecological Environment in Arid Area
A new hybrid framework of site selection for groundwater recharge | |
Javadi Saman; Saatsaz Masoud; Mehdy Hashemy Shahdany S; Neshat Aminreza; Milan Sami Ghordoyee; Akbari Sara | |
来源期刊 | 地学前缘
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ISSN | 1674-9871 |
出版年 | 2021 |
卷号 | 12期号:4页码:1674-9871 |
英文摘要 | Since incorrect site selection has sometimes led to the failure of artificial recharge projects, it is necessary to increase the effectiveness of such projects and minimize their failure by employing new techniques. Therefore, the present research used a combination of decision-making models, numerical groundwater modeling and clustering technique to determine suitable sites for implementation of an artificial recharge project. This hybrid approach was employed for the Yasouj aquifer located in southwestern Iran. In the first stage, by employing an AHP decision-making model, hydraulic conductivity, specific yield, slope, land use, depth to groundwater, and aquifer thickness were selected from 21 criteria used in previous research. The selected criteria were then entered as input into the classical k-means clustering model. Using the output, aquifer was divided into seven different regions or clusters. These clusters were then matched with the land use map, and some of the abandoned land areas were selected as the final option for implementing the artificial recharge project. Finally, the MODFLOW code in the GMS software was used to simulate the groundwater level and cluster the sites selected,with regards to increase in groundwater level. Results indicated that the most significant increases in groundwater level(43 and 27 cm)were those of Clusters 2 and 6 in the northern and western parts of the aquifer, respectively. Therefore, this approach can be used in other similar aquifers in arid and semi-arid regions to select the best sites for artificial recharge and to prevent loss of floodwaters. |
英文关键词 | Quantitative modeling MODFLOW Artificial recharge AHP K-means GMS |
类型 | Article |
语种 | 英语 |
国家 | 中国 |
开放获取类型 | gold |
收录类别 | CSCD |
WOS类目 | Mineralogy |
CSCD记录号 | CSCD:7013953 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/364977 |
作者单位 | Javadi Saman, Department of Water Engineering, College of Aburaihan, University of Tehran, Iran.; Mehdy Hashemy Shahdany S, Department of Water Engineering, College of Aburaihan, University of Tehran, Iran.; Milan Sami Ghordoyee, Department of Water Engineering, College of Aburaihan, University of Tehran, Iran.; Saatsaz Masoud, Center for Research in Climate Change and Global Warming(CRCC), Institute for Advanced Studies in Basic Sciences(IASBS), Zanjan, Iran.; Neshat Aminreza, Department of GIS/RS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.; Akbari Sara, Department of Civil Engineering, Altaha Institute of Higher Education, Tehran, Iran. |
推荐引用方式 GB/T 7714 | Javadi Saman,Saatsaz Masoud,Mehdy Hashemy Shahdany S,et al. A new hybrid framework of site selection for groundwater recharge[J],2021,12(4):1674-9871. |
APA | Javadi Saman,Saatsaz Masoud,Mehdy Hashemy Shahdany S,Neshat Aminreza,Milan Sami Ghordoyee,&Akbari Sara.(2021).A new hybrid framework of site selection for groundwater recharge.地学前缘,12(4),1674-9871. |
MLA | Javadi Saman,et al."A new hybrid framework of site selection for groundwater recharge".地学前缘 12.4(2021):1674-9871. |
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