GIS modeling for predicting river runoff volume in ungauged drainages in the Greater Toronto Area, Canada

摘要: This paper introduces two parsimonious models for predicting runoff ungauged basins from the observed river flow data in gauged and precipitation rain gauging stations same area. The assume is related to subject variance of drainage basins. can be modeled as a function parameters determined by basin descriptive properties. parameter values calibrated statistically on basis historical data. Further regressed associate with areas different landcover types occupying regression model used estimating study area which further together predict An example adopted Soil Conservation Service (SCS) method application Oak Ridges Moraine was introduced demonstrate implementation introduced. information modeling prediction includes: surficial geology, DEM, Landsat TM images, data, temperature weather stations.