ali dastranj; ahmad nohegar; Arash Malekian
Abstract
Abstract Feeding areas, and the spatial distribution of recharge in karstic aquifers, depends to factors such as geomorphology karst and its development, climate, slope, vegetation, soil and geological factors. Karstic aquifers in the study area, has the main role in the development of human civilization ...
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Abstract Feeding areas, and the spatial distribution of recharge in karstic aquifers, depends to factors such as geomorphology karst and its development, climate, slope, vegetation, soil and geological factors. Karstic aquifers in the study area, has the main role in the development of human civilization and supply water to communities. The purpose of this research is modeling the aquifer feeding areas Azhvan-Bisotun in Kermanshah province using KARSTLOP model. The results feed zoning show that the annual charge Bisotun karst aquifer obtained for between 36 to 83 percent. The greatest amount of recharge in areas with more than 78% charged, is accordance sinkholes and the recharge rate of 36 to 40% and 40% to 45% occur in alluvial plains. Bisotun geomorphology karst mountains represent a major role in the spatial distribution of values in the aquifer is recharged.
ali dastranj; ahmad nohegar; Arash Malekian; Hamid gholami
Abstract
Abstract Vulnerability assessment and vulnerability mapping, is an important strategy to management of karst water resources. Due to the geomorphology of karst developed in karst aquifers and other natural conditions Azhvan-Bisotun area, Emissions are rapidly and widely. The aim of this study is mapping ...
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Abstract Vulnerability assessment and vulnerability mapping, is an important strategy to management of karst water resources. Due to the geomorphology of karst developed in karst aquifers and other natural conditions Azhvan-Bisotun area, Emissions are rapidly and widely. The aim of this study is mapping vulnerability Azhvan-Bisotun karst aquifer in Kermanshah province against surface contamination by using COP model. According to the aforementioned approach, the COP method considers three factors to assess the resource vulnerability: Overlying layers (O), Concentration of flow (C) and Precipitation regime (P). The results show that the vulnerability of the area between zero and 4.5, respectively, at the end of the five-class very high, high, medium, low and very low were classified. In general, the total area calculated parameters C, P and O have the most significant role in the vulnerability zone. The results demonstrate that COP is a useful method to assess the vulnerability of the test sites under consideration.
