2017
DOI: 10.1088/1755-1315/98/1/012054
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Spatial Analysis for Potential Water Catchment Areas using GIS: Weighted Overlay Technique

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Cited by 4 publications
(3 citation statements)
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“…The slope of the geographical surface plays a significant role in the occurrence of floods (Hossain and Meng, 2020). The low slope areas can be categorized as high-risk flooding areas and high slope areas can be categorized as low-risk flooding areas (Awanda and Nurul, 2017; Rimba et al, 2017). The slope angles were selected based on combinations of literature and advises from field experts on this study area.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The slope of the geographical surface plays a significant role in the occurrence of floods (Hossain and Meng, 2020). The low slope areas can be categorized as high-risk flooding areas and high slope areas can be categorized as low-risk flooding areas (Awanda and Nurul, 2017; Rimba et al, 2017). The slope angles were selected based on combinations of literature and advises from field experts on this study area.…”
Section: Methodsmentioning
confidence: 99%
“…The input raster layers were obtained by integrating land use and land cover characteristics, soil type, slope angles, drainage density and rainfall. These layers were added to the weighted overlay tool in the overlay section of spatial analysis tools in ArcMap (Awanda and Nurul, 2017; González-Arqueros et al, 2018; Mukherjee and Singh, 2020; Ozkan and Tarhan, 2016). The ranking values and interpretations are presented in Table 3.…”
Section: Methodsmentioning
confidence: 99%
“…Several researchers had been chosen a variety of criterions for site selection of water harvesting. Tambo et al [23] in Tanzania and Mosase et al [24] in Botswana are choosing the criterion soil texture, soil depth, soil drainage, topography and land use for water harvesting. Singhai et al [25] additionally used surface runoff data and lineament (rock cleavages, fault, and fractures affect the groundwater recharge) of groundwater in the Bundelkhand region, India.…”
Section: Figure 6 Accuracy Assessment Reference Pointsmentioning
confidence: 99%