Monitoring and classifying of ground water pollution, in GIS, using Geostatistical analyst, Case study: Fomanat Basin

Regards to deficit of rainfalls in the recent years, over-use of ground water was developed. Soil and water resources degradation is a challenge that human is face to face with it and it emphasizes on the quality of water used in agriculture. Nowadays, regards to the expansion of scientific management in water resources, using both, a powerful technology which can analyze Georeferencing data punctually and a Geostatistical tool which has adequate precision in surface interpolation were reduplicated. This research was conducted in the fomanat basin in North of Iran, using a Geographic Information System (GIS) to assess the impact of chemical fertilizers on the quality monitoring and classifying ground water pollution. Data used in this study were generated from field measurements of ammonium, nitrate and phosphate concentration in 4 years of a Seri of 10 wells. To achieve the purpose, distribution trend of parameter’s concentration are compared with the international environmental standards to estimating pollution ratio. In the next step, the Exploratory Spatial Data Analysis (ESDA) tools were used to exploring data distribution and Geostatistical analyst tools were applied to interpolate data in order to mapping pollution severity in the study area. Results depicted, in the selected area, all wells were in appropriate condition against Ammonia pollution. But two of the wells situated in the VERY HIGH nitrate and one was in HIGH phosphate pollution. Therefore, pollution control to reach to the irrigation standards suggested. In this way, crop yield and quality will improve.

Keywords:

Ground water , Geostatistical analyst , classification , monitoring pollution