Impacts of Macro-Scale Parameters on Siminehrood River Basin

Macro scale parameters (e.g. Land use, population density, geology and erosion etc.) have been considered as macro scale indicators (MSIs) to estimate the water quality in river. The effects of MSIs on water quality variables (that here in after call as micro scale variables / MSVs) were investigated through multivariate statistical analysis (MVA). Several MVA employed to find out, validation and verification of interaction effects in screening steep wise stages. The analysis was applied to in situ and laboratory measured data. The sampling process had been carried out on 15 stations, in three stages, in Siminehrood River. The Siminehrood River is located in north-west of Iran as one of important rivers which is terminated to Uremia Lake. MSVs includes all NSF variables. Results demonstrated the high resolution interaction between MSPs and MSVs. the results declared a dramatic relation between dry farming/irrigated farming and PO4, TDS and Turbidity. Urban land use and first level erosion we considered as effective MSPs on BOD5, EC and TDS. High ranked pollution category of geological layer is detected as one of effective MSPs on PO4 and physical water quality variables. The results led the research to the MSPs estimating river water quality in comparative water quality studies in different river basins.