Geographic Information Systems (GIS)-based spatially distributed model for runoff routing

A method is proposed for routing spatially distributed excess precipitation over a watershed to produce runoff at its outlet. The land surface is represented by a (raster) digital elevation model from which the stream network is derived. A routing response function is defined for each digital elevation model cell so that water movement from cell to cell can be convolved to give a response function along a flow path and responses from all cells can be summed to give the outlet hydrograph. An example application of analysis of runoff on Waller Creek in Austin, Texas, is presented.Waller Creek Working Grou

An analysis of volunteer water quality data

Center for Water and the Environmen

Flood forecasting for the Buffalo Bayou using CRWR-PrePro and HEC-HMS

Center for Water and the Environmen

A prototype toolset for the ArcGIS Hydro Data Model

Center for Research in Water Resource

An algorithm to delineate coastal watersheds for TMDL development

Center for Research in Water Resource

Assessment of hydrologic alteration software

Center for Water and the Environmen

Self-efficacy, communication difficulties and readiness predict outcomes in new hearing aid users

Self-efficacy, communication difficulties and readiness predict outcomes in new hearing aid user

A GIS assessment of the total loads and water quality in the Corpus Christi Bay system

Center for Research in Water Resource

RAPID applied to the SIM-France model

International audienceSIM-France is a large connected atmosphere/land surface/river/groundwater modelling system that simulates the water cycle throughout metropolitan France. The work presented in this study investigates the replacement of the river routing scheme in SIM-France by a river network model called RAPID to enhance the capacity to relate simulated flows to river gauges and to take advantage of the automated parameter estimation procedure of RAPID. RAPID was run with SIM-France over a 10-year period and results compared with those of the previous river routing scheme. We found that while the formulation of RAPID enhanced the functionality of SIM-France, the flow simulations are comparable in accuracy to those previously obtained by SIM-France. Sub-basin optimization of RAPID parameters was found to increase model efficiency. A single criterion for quantifying the quality of river flow simulations using several river gauges globally in a river network is developed that normalizes the square error of modelled flow to allow equal treatment of all gauging stations regardless of the magnitude of flow. The use of this criterion as the cost function for parameter estimation in RAPID allows better results than by increasing the degree of spatial variability in optimization of model parameters. Likewise, increased spatial variability of RAPID parameters through accounting for topography is shown to enhance model performance