首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Determination of areas vulnerable to pollution in a karstic river basin in Turkey via a decision support system based on DRASTIC,SWAT and isotopes analysis
Authors:Özdemir  Ayfer
Institution:1.Helmholtz Centre for Environmental Research–UFZ Department of Computational Landscape Ecology, Permoserstr.15, D-04318, Leipzig, Germany
;2.Republic of Turkey Ministry of Agriculture and Forestry, West Mediterranean Agricultural Research Institute, Boztepe Mah. Serik Caddesi no:270, Aksu/Antalya, Turkey
;
Abstract:

Determination of areas vulnerable to water pollution in river basins helps to generate appropriate water management protection plans. This study aims to define areas vulnerable to pollutants in a data-scarce karstic river basin in Turkey by using a holistic approach integrating the Soil and Water Assessment Tool (SWAT), the DRASTIC framework, and selected isotopes within a decision support system based on a geographic information system to delineate vulnerable areas. DRASTIC was used to show groundwater vulnerability to pollutants. The concentrations of isotopes 18O, 2H, and 3H in groundwater were used to define the vulnerable areas of the karst region. SWAT was utilized to show watershed vulnerability to pollutants in shallow aquifers. The recharge rate parameter in DRASTIC was obtained from SWAT. This methodological approach was applied to the Yuvac?k Dam Basin in Kocaeli, part of the Marmara River Basin, as it is a good example of a karstic watershed. According to this study, each approach provides different vulnerabilities when applied separately. The final map obtained from the integrated approach shows that drinking water supplies in the northeast and northwest parts of the basin are highly vulnerable to pollution. All the karst spring catchments and areas near the basin outlet are highly vulnerable. Moreover, across all water samples taken across the basin, those exhibiting the highest concentrations in nitrate were all found in the areas mapped as highly vulnerable. The methodology was validated by analyzing nitrate concentration in 22 groundwater and surface-water samples.

Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号