Weighted Overlay Analysis (WOA) Model, Certainty Factor (CF) Model and Analytical Hierarchy Process (AHP) Model in Landslide Susceptibility Studies

Author(s):  
Sujit Mandal ◽  
Subrata Mondal
2021 ◽  
Vol 11 (12) ◽  
Author(s):  
J. Rajesh ◽  
Chaitanya B. Pande ◽  
Sunil A. Kadam ◽  
Sunil D. Gorantiwar ◽  
Mukund G. Shinde

AbstractTotal natural and groundwater resources play the most crucial role in developing ecological, biological and socioeconomic doings. Various parameters like land use, geology, elevation, slope, lineament, lineament density, drainage density and geomorphology affect the groundwater development of recharge and its accessibility. In this research, geographical information system (GIS), remote sensing, weighted overlay analysis and analytical hierarchy process (AHP) methods have been used for groundwater prospects mapping,  and identifying suitable solutions site for soil and water conservation structures. To calculate the weights were assigned to every layers component in the determination of affecting factors. The weighted overlay analysis (WOA) tool is applied to give the sub-parameter ratings based on the scientific literature. The final map of potential groundwater zone map has prepared using Arc GIS 10.1 software and AHP methods. About 49.71% of the areas fall under the 'good potential zone, 41.05% falls under the 'moderate potential zone', and 9.22% falls under the 'poor zone by using AHP technique. Groundwater potential zone map is depend on the weighted overlay analysis and analytical hierarchy process (AHP) methods. The highest GWP is located in the lower part of the basin due to the best surface runoff gathering, infiltration situations and subsurface storage volume. The present study procedure, methods and outcomes can be valuable to estimate the suitable groundwater zones parallel to improve the dry land area in the semi-arid and arid regions of India.


2018 ◽  
Vol 23 (3) ◽  
pp. 181
Author(s):  
Hendrik Sombo ◽  
Mohammad Mukhlis Kamal ◽  
Yusli Wardiatno

Hasil survei potensi yang dilakukan IUCN dan LPSPL Sorong menunjukkan nilai kelimpahan ikan napoleon (Cheilinus undulatus) di Kabupaten Raja Ampat termasuk dalam kategori rendah. Walaupun demikian, nelayan tetap menginginkan ada kuota untuk pemanfaatannya karena merupakan salah satu sumber mata pencaharian utama. Aktivitas pemanfaatan harus disertai dengan upaya pengendalian untuk menjaga kelestarian sumberdaya. Penerapan upaya fishing control dan manajemen kebijakan belum dilakukan secara optimal, sehingga diperlukan penetapan berdasarkan skala prioritas. Tujuan penelitian ini adalah untuk mengidentifikasi kondisi pemanfaatan dan menentukan skala prioritas upaya untuk mengendalikan pemanfaatan ikan napoleon di Kabupaten Raja Ampat. Penentuan skala prioritas dianalisis dengan model Analytical Hierarchy Process (AHP) dengan melibatkan pakar di bidang konservasi dalam penilaian. Berdasarkan hasil identifikasi, kondisi pemanfaatan ikan napoleon di Kabupaten Raja Ampat dilakukan belum sesuai dengan ketentuan regulasi yang telah ditetapkan. Hasil penilaian dengan model AHP menunjukkan bahwa kriteria yang paling penting untuk mengendalikan pemanfaatan ikan napoleon adalah sumberdaya ikan lestari, dan urutan prioritas alternatif adalah sosialisasi kepada nelayan/pengusaha (bobot 0,2935), pengawasan (bobot 0,2715), survei kelimpahan secara berkala (bobot 0,2181) dan penerapan lalu lintas perdagangan melalui bandara (bobot 0,2169).The results of potential survey by IUCN and LPSPL Sorong showed the abundance value of napoleon fish (Cheilinus undulatus) in Raja Ampat Regency was low category. Nonetheless, the fisher quota for its utilization because it is one of the main sources of livelihood. The utilization activities should be followed by control of effort to maintain resource sustainability. Implementation of fishing control and management decisions has not been done optimally, therefore it need to be set based on priority scale. The purpose of this study were to identify conditions of utilization and to determine the priority scale to control utilization of napoleon wrasse fishery in Raja Ampat Regency. Determination of priority scale were analyzed with Analytical Hierarchy Process (AHP) model by involving experts in the field of conservation in the assessment. Based on the results of identification, the condition of the utilization of napoleon fish in Raja Ampat Regency was not with the regulation. The results of the assessment with AHP model showed that the most important criteria to control utilization of napoleon wrasse fishery is sustainable fish resources, and alternatives priority order are socialization/awareness program to fishers/live fish buyer (value 0.2935), surveillance (value 0.2715), periodic density surveys (value 0.2181) and implementation of trade air-only (value 0.2169).


2021 ◽  
Vol 13 (1) ◽  
pp. 1668-1688
Author(s):  
Azemeraw Wubalem ◽  
Gashaw Tesfaw ◽  
Zerihun Dawit ◽  
Belete Getahun ◽  
Tamrat Mekuria ◽  
...  

Abstract The flood is one of the frequently occurring natural hazards within the sub-basin of Lake Tana. The flood hazard within the sub-basin of Lake Tana causes damage to cropland, properties, and a fatality every season. Therefore, flood susceptibility modeling in this area is significant for hazard reduction and management purposes. Thus, the analytical hierarchy process (AHP), bivariate (information value [IV] and frequency ratio [FR]), and multivariate (logistic regression [LR]) statistical methods were applied. Using an intensive field survey, historical document, and Google Earth Imagery, 1,404-flood locations were determined, classified into 70% training datasets and 30% testing flood datasets using a subset within the geographic information system (GIS) environment. The statistical relationship between the probability of flood occurrence and 11 flood-driving factors was performed using the GIS tool. The flood susceptibility maps of the study area were developed by summing all weighted aspects using a raster calculator. It is classified into very low, low, moderate, high, and very high susceptibility classes using the natural breaks method. The accuracy and performance of the models were evaluated using the area under the curve (AUC). As the result indicated, the FR model has better performance (AUC = 99.1%) compared to the AHP model (AUC = 86.9%), LR model (AUC = 81.4%), and IV model (AUC = 78.2%). This research finds out that the applied methods are quite worthy for flood susceptibility modeling within the study area. In flood susceptibility modeling, method selection is not a serious challenge; the care should tend to the input parameter quality. Based on the AUC values, the FR model is comparatively better, followed by the AHP model for regional land use planning, flood hazard mitigation, and prevention purposes.


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