Quantitative estimation and qualitative prediction of nitrate parameter of runoff under climate change situation

Given the rapid growth of the population, The living organism's need to water, significant decrement in safe and available drinking water resources and an unexpected increase in water pollution, it is essential thah water resources ‘quality planning and quantitative controlling’ to be more closely monitored. In this thesis, the Kan catchment located in the northwestern part of Tehran is considered as the study area. in this research, the quantitative and qualitative modeling of the watershed was conducted in 1971-2010 using the SWAT hydrological model, then, the results of the rainfall and temperature outcomes of the HADCM3 model with the AIB scenario for the period of 2011-2030 were extracted using the LARS_WG software. Then the collected data were used as the climate input data into the SWAT model followed by measuring the quantitative and qualitative modeling of the basin for this period in which the qualitative parameter of nitrate were reviewed. The results of the comparison highlighted the fact that there is a significant decrease in the amount of discharge besides an increase in the concentration of nitrate in coming years which could leave a set of destructive effects over the catchment.