Regional investigation and estimation of base flow index in ‎homogeneous basins of Kerman Providence

Planning and management of water resources in watersheds require data, including, base flow and its index. These parameters are influenced by morphometric, geologic and hydro climatologic factors and have always been of the most important issues in hydrology. In this research, base flow and related index were extracted from daily stream flow data using two parameters recursive digital filters in 43 hydrometric stations of Kerman Province. Physiographic, climatic and hydrological parameters were calculated in GIS environment. Using factor analysis of 14 parameters, six factors were chosen as the most important independent factors. Then the regional equations were determined, using linear regression at 1% significant level. To compare and evaluate the accuracy and efficiency of the models, independence errors, colinerity and normal distribution of error were tested. Among the factors investigated, multivariate regressions were identified as the best estimator of base flow index in the study area.