The results of this study have important implications for the selection and application of appropriate rainfall-runoff methods within complex distributed hydrologic models particularly when simulating hydrologic responses in mixed-land use watersheds.
A probabilistic approach is presented to assess the performance validity of the empirical Curve Number (CN) and physically-based Green and Ampt (G&A) rainfall-runoff methods in the SWAT model.
A Bayesian total uncertainty assessment framework, which explicitly accounts for uncertainties from model parameters, inputs, structure, and measurements, was employed to explore uncertainties in streamflow simulation using SWAT with different rainfall-runoff methods in a mixed-land use watershed.
An important feature of Cascade is that it employs a modified runoff coefficient method for estimating runoff from rainfall, which incorporates a modified Antecedent Precipitation Index as an indicator of catchment wetness.
First, the runoff plot method was used to study the early stage slope protection effects of seven different vegetation communities (VCs) selected for Xinnan Highway, which has steep slopes ranging from 30° to 33°.
The runoff curve method may be applied to estimate runoff from an individual storm, or weekly, monthly, or annual rainfall.
Based on inventory data of urban green spaces in Beijing, the paper evaluated the economic benefits of rainwater-runoff reduction by urban green spaces, using the rainwater-runoff-coefficient method as well as the economic valuation methods.
Rain gardens can significantly reduce your contribution to pollution, especially when combined with other runoff abatement methods.
This model employs a simple, yet practical rainfall-runoff correlation curve method to predict runoff, as well as prediction approaches for rainfall, evaporation, subsurface runoff and recharge to groundwater.
Retention capacity is determined based on the Runoff Curve Number Method and the economic value of the landscape draws on the modified Hessen method.
