It is more expensive to remove pollution from polluted groundwater than to prevent it; hence, tools are sought that help managers prevent groundwater pollution. One such tool is the aquifer vulnerability mapping which is used to specify the most vulnerable parts of an aquifer. In order to prepare the ...
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It is more expensive to remove pollution from polluted groundwater than to prevent it; hence, tools are sought that help managers prevent groundwater pollution. One such tool is the aquifer vulnerability mapping which is used to specify the most vulnerable parts of an aquifer. In order to prepare the aquifer vulnerability map of Asadabad plain which is the water resource of agricultural and industry activities as well as rural consumptive waters of the region, the DRASTIC, SINTACS and SI models were used for exploration of Asadabad plain groundwater as following steps. First, by development, the initial layers of the models were prepared. The available nitrates layer of the groundwater was also prepared based on 24 measurements of wells during spring 2013. In order to evaluate the performance of the models, the correlation between the initial layers and available nitrates layer was calculated. Based on the calculated coefficient correlation and its significance, DRASTIC and SI models were calibrated and than theirs parameters were modified. The using overlap of correlated aquifer vulnerability maps, contamination danger map of plain which called agricultural DRASTIC map was produced. At last, by comparing the vulnerability potential map, modified SI map, modified DRASTIC model, agricultural DRASTIC model and neuro fuzzy inference map with the available nitrate layer, the best model was distinguished. The result illustrated that the agricultural DRASTIC method (r=0.79) is identified as the best method to evaluate the vulnerable points of Asadabad plain. According to this map, 26.24, 56.63 and 17.13% of the area are located in the less, medium and high vulnerable points, respectively.
