China
Africa
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Published in Seleshi Getahun Yalew, Integrated Modeling of Land and Water Resources in two African Catchments, 2018
After computation of weights for each raster layer using AHP, weighted overlay analysis (WOA) is performed on an ArcGIS environment. Weighted overlay is an intersection of standardized and differently weighted layers during suitability analysis (Zolekar and Bhagat, 2015). The weights quantify the relative importance of the suitability criteria considered. The suitability scores assigned for the sub-criteria within each criteria layer were multiplied with the weights assigned for each criterion to calculate the final suitability map using the WOA technique (see Eq. 2.4). S=∑i=1nWiXi $$ S = \sum\nolimits_{{i = 1}}^{n} {W_{i} X_{i} } $$
Groundwater Arsenic Discontinuity
Published in M. Manzurul Hassan, Arsenic in Groundwater, 2018
Identification of a suitable arsenic-safe aquifer with GIS and geostatistics is an important objective for this section. Suitability analysis is a process of systematically identifying or rating potential locations with respect to a particular use. The geostatistical approach has identified the spatial determination for suitable areas for tubewell installation with aquifer depths and water tables. Which areas will get priority in getting access to safe drinking water? The answer to this question can detect the safe water “command areas” and safe water “demand areas” (Hassan and Ahamed, 2017). In doing this, the safe and contaminated areas in Dhopakhali union were identified following the concentration levels of inorganic arsenic with geostatistical approach, mainly ordinary kriging. The safe water command areas were identified in some parts of the southeastern and middle of Dhopakhali. The people who are living within the high and severe contamination zones need safe water options. About 87.47% (342 hectares) of the settlement area is within the unsafe zones, and tubewell technology is not suitable in the arsenic-contaminated areas. Apart from shallow tubewell, people are habituated to using untreated pond water for their drinking and cooking purposes, but this water source was excluded for safe water “command areas.” Only the tubewell technology was considered for this Spatial Decision-Support System (Figure 3.7).
Genetic algorithms-based optimal site selection of solar PV in the north of Afghanistan
Published in International Journal of Sustainable Energy, 2023
Abdul Baser Qasimi, Ara Toomanian, Farhad Nasri, Najmeh Neysani Samany
Site selection for large-scale solar PV encompasses social, technological, environmental, and economic considerations (Kundakcı 2019). In order to confront this challenge, Multicriteria Decision Making (MCDM) techniques are utilized by researchers and policymakers to effectively handle and integrate diverse factors that have been scrutinized through various methods (Kundakcı 2019). The decision-maker can discern and choose suitable locations (Gerbo, Suryabhagavan, and Kumar Raghuvanshi 2020). Figure 3 depicts the link between objectives, criteria, and options. Multicriteria decision-making (MCDM) is a commonly used method in GIS for selecting suitable sites for various purposes. Various methods of MCDM are used in site suitability analysis, including Analytic Hierarchy Process (AHP). Analytic Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Weighted Linear Combination (WLC), Simple Additive Weighting (SAW), Ordered Weighted Averaging (OWA). AHP (Analytical Hierarchy Process) is a widely used MCDM method for site selection in GIS. AHP is preferred over other MCDM methods because of its Flexibility, Simplicity, and Transparency. Overall, AHP is a powerful tool for decision-making in GIS. Its application in selecting suitable sites for solar energy projects can help identify the most viable options and maximize the benefits of renewable energy.