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Proceedings Paper

Soil erosion modelling for NSW coastal catchments using RUSLE in a GIS environment
Author(s): Xihua Yang; Greg Chapman
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Paper Abstract

In this study, hillslope erosion risk has been estimated for all eastern New South Wales (NSW) catchments, Australia using Revised Universal Soil Loss Equation (RUSLE) in a geographic information system (GIS) environment. Rainfall-runoff erosivity (R) factor was interpolated from NSW rainfall-erosivity contour (isoerodent) data. Soil erodibility (K) factor was based on the soil regolith stability and sediment yield classification. The classification was derived from soil landscape and related soil map data. The slope length and steepness (LS) factor was derived from high resolution digital elevation model (DEM). A fully-automated program using Arc Macro Language (AML) produced RUSLE-based LS factor grids for all coastal catchments. The outputs are comparable to the range of LS values summarised in the literature. Cover and management (C) factor and conservation support-practices (P) factor were set to one. They are intended to be allocated according to land use, ground cover and erosion control provisions for particular land management actions. The resulting erosion risk map, with pixel size of 25-m, provides unprecedented resolution of relative expected sheet and rill erosion across all NSW costal catchments and can be adapted for a range of erosion control purposes such as bushfire hazard reduction and comprehensive costal assessment.

Paper Details

Date Published: 28 October 2006
PDF: 9 pages
Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 642023 (28 October 2006); doi: 10.1117/12.713019
Show Author Affiliations
Xihua Yang, New South Wales Dept. of Natural Resources (Australia)
Greg Chapman, New South Wales Dept. of Natural Resources (Australia)


Published in SPIE Proceedings Vol. 6420:
Geoinformatics 2006: Geospatial Information Science
Jianya Gong; Jingxiong Zhang, Editor(s)

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