Groundwater recharge zones mapping using GIS: a case study in Southern part of Jordan Valley, Jordan

被引:28
作者
Hammouri, Nezar [1 ]
Al-Amoush, Hani [2 ]
Al-Raggad, Marwan [3 ]
Harahsheh, Sura [2 ]
机构
[1] Hashemite Univ, Fac Nat Resources & Environm, Az Zarqa, Jordan
[2] Al al Bayt Univ, Inst Earth & Environm Sci, Mafraq, Jordan
[3] Univ Jordan, Water & Environm Res Ctr, Amman, Jordan
关键词
Groundwater recharge; SLUGGER-DQL index; Jordan Valley (JV); GIS; VULNERABILITY ASSESSMENT; AQUIFER VULNERABILITY; SENSITIVITY-ANALYSIS;
D O I
10.1007/s12517-013-0995-1
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This paper aims at mapping the potential groundwater recharge zones in the southern part of Jordan Valley (JV). This area is considered as the most important part for agricultural production in Jordan. The methodology adopted in this study is based on utilizing the open ended SLUGGER-DQL score model, which was developed by Raymond et al (2009). Geographic information systems were used in this study to build up the different layers of this model and to create the potential groundwater recharge zones. Based on the generated SLUGGER-DQL potential map, it was found that about 70.8 % of the investigated area was categorized as high potential for groundwater recharge, 18.7 % as moderate, and 10.5 % as low potential for groundwater recharge. To validate the model results, sensitivity analysis was carried out to assess the influence of each model parameter on the obtained results. Based on this analysis, it was found that the slope parameter (S) is the most sensitive parameter among SLUGGER-DQL model parameters, followed by water level in summer (L), well density (D), water quality (Q), runoff availability (R), land use/land cover, geology (GE), whereas the lowest sensitive parameter is the geology parameter (GE). Moreover, the parameters R, D, and Q show the lowest effective weights. The effective weight for each parameter was found to differ from the assigned theoretical weight by SLUGGER-DQL index model.
引用
收藏
页码:2815 / 2829
页数:15
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