Arid
DOI10.1080/10106049.2016.1188166
Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods
Falah, Fatemeh; Nejad, Samira Ghorbani; Rahmati, Omid; Daneshfar, Mania; Zeinivand, Hossein
通讯作者Falah, Fatemeh
来源期刊GEOCARTO INTERNATIONAL
ISSN1010-6049
EISSN1752-0762
出版年2017
卷号32期号:10页码:1069-1089
英文摘要

Groundwater is the most valuable natural resource in arid areas. Therefore, any attempt to investigate potential zones of groundwater for further management of water supply is necessary. Hence, many researchers have worked on this subject all around the world. On the other hand, the Generalized Additive Model (GAM) has been applied to environmental and ecological modelling, but its applicability to other kinds of predictive modelling such as groundwater potential mapping has not yet been investigated. Therefore, the main purpose of this study is to evaluate the performance of GAM model and then its comparison with three popular GIS-based bivariate statistical methods, namely Frequency Ratio (FR), Statistical Index (SI) and Weight-of-Evidence (WOE) for producing groundwater spring potential map (GSPM) in Lorestan Province Iran. To achieve this, out of 6439 existed springs, 4291 spring locations were selected for training phase and the remaining 2147 springs for model evaluation. Next, the thematic layers of 12 effective spring parameters including altitude, plan curvature, slope angle, slope aspect, drainage density, distance from rivers, topographic wetness index, fault density, distance from fault, lithology, soil and land use/land cover were mapped and integrated using the ArcGIS 10.2 software to generate a groundwater prospect map using mentioned approaches. The produced GSPMs were then classified into four distinct groundwater potential zones, namely low, moderate, high and very high classes. The results of the analysis were finally validated using the receiver operating characteristic (ROC) curve technique. The results indicated that out of four models, SI is superior (prediction accuracy of 85.4%) following by FR, GAM and WOE, respectively (prediction accuracy of 83.7, 77 and 76.3%). The result of groundwater spring potential map is helpful as a guide for engineers in water resources management and land use planning in order to select suitable areas to implement development schemes and also government entities.


英文关键词Generalized additive model groundwater spring occurrence bivariate statistical methods Iran
类型Review
语种英语
国家Iran
收录类别SCI-E
WOS记录号WOS:000407506800002
WOS关键词WEIGHTS-OF-EVIDENCE ; LOGISTIC-REGRESSION METHODS ; LANDSLIDE-SUSCEPTIBILITY ; FREQUENCY RATIO ; SULTAN MOUNTAINS ; SPATIAL-PATTERNS ; NEURAL-NETWORKS ; DEBRIS FLOW ; RIVER-BASIN ; TAMIL-NADU
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/199171
作者单位Lorestan Univ, Dept Range & Watershed Management Engn, Lorestan, Iran
推荐引用方式
GB/T 7714
Falah, Fatemeh,Nejad, Samira Ghorbani,Rahmati, Omid,et al. Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods[J],2017,32(10):1069-1089.
APA Falah, Fatemeh,Nejad, Samira Ghorbani,Rahmati, Omid,Daneshfar, Mania,&Zeinivand, Hossein.(2017).Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods.GEOCARTO INTERNATIONAL,32(10),1069-1089.
MLA Falah, Fatemeh,et al."Applicability of generalized additive model in groundwater potential modelling and comparison its performance by bivariate statistical methods".GEOCARTO INTERNATIONAL 32.10(2017):1069-1089.
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