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  Using Soil Erosion Modeling for Improved Conservation Planning: 
A GIS-based Tutorial

 

Introduction

While soil erosion is a natural process, human activities such as construction or vehicular disturbance can substantially increase the rates of erosion, sediment transport and deposition. Increased erosion and sedimentation can create hazardous conditions, destroy water quality and cause other environmental damage, requiring costly repairs. It is therefore important to minimize the damage caused by disturbances by planning soil conservation measures. Such planning may seem difficult for large areas but geographic information systems (GIS) can provide the tools to assess the erosion risk, evaluate various disturbance alternatives and spatially optimize conservation measures.

 

This tutorial provides information on the preparation of data, running selected erosion models in GIS, and viewing and analyzing the results. While RUSLE3D and USPED models are the main focus of the tutorial, principles of more complex models are covered also. The tutorial is also useful for preparation of data and visualization of results from distributed hydrologic and erosion models, which are not described here. Detailed summaries of model implementation are provided for ESRI's ArcGIS and the open source GIS GRASS, however, the principles that are presented also apply to other raster based systems.

 

Examples


Throughout this tutorial the following color conventions are used:

Elevation
low
high
Water Flow
low
high
Erosion
none
high
Net Deposition and Erosion
high deposition
high erosion

(Also see the colortables with RGB values)

 


Acknowledgements
Summary of Soil Erosion Modeling Tutorial
Introduction
Example Applications of Erosion Modeling
Methods and Algorithms
Processing Input Data for Erosion Modeling
Erosion processes at multiple scales and related models
Modeling erosion at multiple scales
Analyzing and communicating the modeling results
Troubleshooting

HOME                                                        H. Mitasova, et al.,  Geographic Modeling Systems Lab, UIUC