Using DRASTIC Modified and SINTACS Models for Mapping the Pollution Vulnerability of the Urmia Plain

عزیزی مبصر, جوانشیر and رسول‌زاده, علی Using DRASTIC Modified and SINTACS Models for Mapping the Pollution Vulnerability of the Urmia Plain. In: 2nd International and 6th National Iranian Congress on Organic vs. Conventional Agriculture, August 2019, Ardabil, Iran.

Text F-00364-AC.pdf Download (272kB)

Abstract

Urmia plain is in serious danger due to agricultural activity and also excessive consumption of fertilizers in the agricultural sector, large livestock centers, and industrial wastewater. Therefore, it is necessary to identify areas with high potential for contamination and to take the necessary measures to manage and remedy these problems. The purpose of this study was to investigate the vulnerable areas of Urmia plain in terms of groundwater pollution. For this purpose, DRASTIC Modified and SINTACS models for the Urmia Plain will be developed, and vulnerable areas will be identified. The models will then be calibrated using nitrate concentrations to determine to what extent they can predict the vulnerable areas. The results of the DRASTIC Modified model showed that a small portion of the eastern part of the plain, which comprises about 4% of the total area of the Urmia plain, had the highest vulnerability and the eastern part had the least vulnerability. Finally, about 65% of the area of the Urmia plain was determined to be free of contamination. Also, in this model, around Urmia Lake has a high potential of vulnerability and is susceptible to contamination. The correlation coefficient between the DRASTIC Modified model and nitrate concentration variations was about 61.6%, which is an acceptable result. According to the SINTACS zoning map, the Urmia plain was classified into three classes in terms of vulnerability. About 18% of the total area of the Urmia plain had an index of 140 to 180, which had an extremely high potential for vulnerability. Forty percent of Urmia plain had indexes of 123 to 140, which had high vulnerability potential, and 42% of the study area had an index of 95 to 123, which had high potential of vulnerability. In this model, the areas around Lake Urmia have the most potential for vulnerability, and as we go to the western part of the plain, the vulnerability of the plain is reduced. The results of this model's potential comparison were compared with nitrate values, with a correlation coefficient of about 70%. This result indicates that the model is highly consistent with nitrate values. Comparison of the results showed that in the Urmia plain for the nitrate concentration index, both models had acceptable results, but the results of SINTACS model were comparatively better.

Actions (login required)

View Item