Drastic model optimization in vulnerability assessing of Meymeh aquifer to Nitrate Contamination
| Autor: | Leila Gorji, Javad Tabatabaei, Akbar Ghazifard, Mojgan Entezary |
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| Jazyk: | perština |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | مخاطرات محیط طبیعی, Vol 8, Iss 19, Pp 15-34 (2019) |
| Druh dokumentu: | article |
| ISSN: | 2676-4377 2676-4385 |
| DOI: | 10.22111/jneh.2017.20752.1279 |
| Popis: | Locating and identifying vulnerable areas of the aquifer and managing water supplies use and land use is a good approach to preventing underground water pollution. Nitrate has always been considered as a water pollution index. The aim of this study was assessing the vulnerability of Meymeh aquifer to nitrate through GIS, statistical methods, and Drastic Model. Drastic Model identified the vulnerability of Meymeh Aquifer as low and medium (75-128). After calculating the drastic new index using Raster Calculation in ArcGIS, the correlation between nitrate concentrations in groundwater samples and the new drastic index was calculated. The correlation coefficient of -0/162 (before optimization) to0/842 (after optimization) has increased. These correlations were significant at the 95% probability level (P-value |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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