Groundwater vulnerability assessment using drastic method based on GIS in central plain of Guilan

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

Industrial and agricultural developments and the population of rural and communities led to excessive consumption of chemical detergents and fertilizers and increasing industrial wastwater which threaten water resources in last decades. Vulnerability of the water resources is a continuation of such trends. The first step in management of the groundwater resources is a determination of the vulnerable areas. The objective of this research was determin the vulnerability assessment of the central plain of Guilan using DRASTIC model. Principles of the model are based on overlaying of seven thematic maps of depth to water table, net recharges, aquifer media, soil media, topography, vados zone and hydraulic conductivity by considering appropriate weights and rates. The database was constructed by introducing the mentionec maps. Index of DRASTIC model for aquifer vulnerability of the central plain Guilan was ranged in 82-182. In this plain, there was not very much and very low vulnerability classes. The final map of DRASTIC model showed that % 48.64 of the area has high vulnerability and % 50.55 has medium vulnerability and only a small area of plain (% 0.81) has low vulnerability. Th estatistical summary of the DRASTIC model elements shows that the element of depth to groundwater table has the greatest impact on DRASTIC model. Also based on the map remove and single element sensitivity, depth to groundwater table is identified as the effective element in the central plain of Guilan. The results of the correlation between the elements of DRASTIC model and nitrate concenteration showed that there is the highest correlation between nitrate and depth to groundwater table. The average concentration of nitrates is 8.92 mg/lit in the wells studied at the Central Plains Guilan. In all wells studied, nitrate concentration was lower than the recommended level by US Environmental Protection Agency (45 mg/lit).

Language:
Persian
Published:
Journal of Environmental Research and Technology, Volume:2 Issue: 3, 2018
Pages:
23 to 31
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