Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204378863> ?p ?o ?g. }
- W3204378863 endingPage "2632" @default.
- W3204378863 startingPage "2632" @default.
- W3204378863 abstract "The present work aims to build a unique hybrid model by combining six fuzzy operator feature selection-based techniques with logistic regression (LR) for producing groundwater potential models (GPMs) utilising high resolution DEM-derived parameters in Saudi Arabia’s Bisha area. The current work focuses exclusively on the influence of DEM-derived parameters on GPMs modelling, without considering other variables. AND, OR, GAMMA 0.75, GAMMA 0.8, GAMMA 0.85, and GAMMA 0.9 are six hybrid models based on fuzzy feature selection. The GPMs were validated by using empirical and binormal receiver operating characteristic curves (ROC). An RF-based sensitivity analysis was performed in order to examine the influence of GPM settings. Six hybrid algorithms and one unique hybrid model have predicted 1835–2149 km2 as very high and 3235–4585 km2 as high groundwater potential regions. The AND model (ROCe-AUC: 0.81; ROCb-AUC: 0.804) outperformed the other models based on ROC’s area under curve (AUC). A novel hybrid model was constructed by combining six GPMs (considering as variables) with the LR model. The AUC of ROCe and ROCb revealed that the novel hybrid model outperformed existing fuzzy-based GPMs (ROCe: 0.866; ROCb: 0.892). With DEM-derived parameters, the present work will help to improve the effectiveness of GPMs for developing sustainable groundwater management plans." @default.
- W3204378863 created "2021-10-11" @default.
- W3204378863 creator A5016283348 @default.
- W3204378863 creator A5038855458 @default.
- W3204378863 creator A5048799342 @default.
- W3204378863 creator A5049864843 @default.
- W3204378863 creator A5062623130 @default.
- W3204378863 creator A5064098467 @default.
- W3204378863 creator A5090062014 @default.
- W3204378863 date "2021-09-25" @default.
- W3204378863 modified "2023-09-27" @default.
- W3204378863 title "A Novel Hybrid Model for Developing Groundwater Potentiality Model Using High Resolution Digital Elevation Model (DEM) Derived Factors" @default.
- W3204378863 cites W1057892209 @default.
- W3204378863 cites W1145321339 @default.
- W3204378863 cites W1805752680 @default.
- W3204378863 cites W1901616594 @default.
- W3204378863 cites W1979486410 @default.
- W3204378863 cites W1985271179 @default.
- W3204378863 cites W1986198891 @default.
- W3204378863 cites W1987342969 @default.
- W3204378863 cites W2018612134 @default.
- W3204378863 cites W2037630084 @default.
- W3204378863 cites W2037768558 @default.
- W3204378863 cites W2042585650 @default.
- W3204378863 cites W2042951326 @default.
- W3204378863 cites W2057388082 @default.
- W3204378863 cites W2064319214 @default.
- W3204378863 cites W2071068479 @default.
- W3204378863 cites W2071944042 @default.
- W3204378863 cites W2086511013 @default.
- W3204378863 cites W2093650457 @default.
- W3204378863 cites W2121394390 @default.
- W3204378863 cites W2124217455 @default.
- W3204378863 cites W2205158676 @default.
- W3204378863 cites W2208293910 @default.
- W3204378863 cites W2266000645 @default.
- W3204378863 cites W2287278712 @default.
- W3204378863 cites W2423094380 @default.
- W3204378863 cites W2519746072 @default.
- W3204378863 cites W2578894852 @default.
- W3204378863 cites W2580219088 @default.
- W3204378863 cites W2582794771 @default.
- W3204378863 cites W2602515363 @default.
- W3204378863 cites W2606642786 @default.
- W3204378863 cites W2608566182 @default.
- W3204378863 cites W2621028994 @default.
- W3204378863 cites W2624917962 @default.
- W3204378863 cites W2731040012 @default.
- W3204378863 cites W2754252800 @default.
- W3204378863 cites W2792324107 @default.
- W3204378863 cites W2795393237 @default.
- W3204378863 cites W2797310831 @default.
- W3204378863 cites W2802176701 @default.
- W3204378863 cites W2809889051 @default.
- W3204378863 cites W2886424099 @default.
- W3204378863 cites W2888559749 @default.
- W3204378863 cites W2893536930 @default.
- W3204378863 cites W2894082056 @default.
- W3204378863 cites W2899474317 @default.
- W3204378863 cites W2899513074 @default.
- W3204378863 cites W2901271692 @default.
- W3204378863 cites W2904803993 @default.
- W3204378863 cites W2905215511 @default.
- W3204378863 cites W2906770544 @default.
- W3204378863 cites W2910972630 @default.
- W3204378863 cites W2914739587 @default.
- W3204378863 cites W2916157090 @default.
- W3204378863 cites W2922091413 @default.
- W3204378863 cites W2937103134 @default.
- W3204378863 cites W2943903674 @default.
- W3204378863 cites W2964430035 @default.
- W3204378863 cites W2965059688 @default.
- W3204378863 cites W2967801159 @default.
- W3204378863 cites W2970885557 @default.
- W3204378863 cites W2973053290 @default.
- W3204378863 cites W2975989422 @default.
- W3204378863 cites W2980353925 @default.
- W3204378863 cites W2990483797 @default.
- W3204378863 cites W2991121503 @default.
- W3204378863 cites W2992004602 @default.
- W3204378863 cites W2995023505 @default.
- W3204378863 cites W2997434830 @default.
- W3204378863 cites W2998999740 @default.
- W3204378863 cites W3005761411 @default.
- W3204378863 cites W3007300585 @default.
- W3204378863 cites W3020916385 @default.
- W3204378863 cites W3080371574 @default.
- W3204378863 cites W3083424552 @default.
- W3204378863 cites W3086946079 @default.
- W3204378863 cites W3089247292 @default.
- W3204378863 cites W3091027894 @default.
- W3204378863 cites W3091540138 @default.
- W3204378863 cites W3091948139 @default.
- W3204378863 cites W3092057421 @default.
- W3204378863 cites W3092927075 @default.
- W3204378863 cites W3093634062 @default.
- W3204378863 cites W3096638284 @default.
- W3204378863 cites W3103259846 @default.