Presenting the Spatio-Temporal Model for Predicting and Determining Permissible Land Use Changes Based on Drinking Water Quality Standards: A Case Study of Northern Iran

Quantifying the effect of non-point source pollution from different land use types (e.g., agricultural lands, pastures, orchards, and urban areas) on stream water quality is critical in determining extent type use. The relationship between surface as primary drinking patterns suburban areas with an accelerated pace industrial development progressive growth population has drawn much attention recently. This study aims to determine portion changes over three-time intervals 2000 2015 Jajrood River Catchment (Tehran metropolis, north Iran). We used satellite images Landsat TM ETM for 2005, 2010, analyze a spatiotemporal model. According image processing analysis, we classified uses area into irrigated farming, residential areas. In addition, temporal data sampling stations identify based multivariate regression analysis shows significant correlation parameters, including pH, Na+, Ca+, Mg+, Cl?, SO42?, NO3?, TDS. Pastures had highest impact parameters among all types. Besides, have results maximum permissible each type. Consequently, effective management strategies such optimization catchment scale this similar will help consciously protect manage resources.