Estimating the LS Factor for RUSLE through Iterative Slope Length Processing of Digital Elevation Data within Arclnfo Grid
Estimating the LS Factor for RUSLE through Iterative Slope Length Processing of Digital Elevation Data within Arclnfo Grid
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DOI：
10.1080/00690805.2001.9714133
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发表时间：
2001-06
期刊：
影响因子：
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通讯作者：
Rick D. Van Remortel;M. Hamilton;R. Hickey
中科院分区：
文献类型：
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作者：
Rick D. Van Remortel;M. Hamilton;R. Hickey
在区域景观尺度上使用USLE和RUSLE土壤侵蚀模型的一个局限性是难以获得适用于GIS应用的LS因子网格。以前的工作产生了一个ArcInfo GRID AML程序，该程序允许使用DEM高程数据集创建基于USLE的LS因子网格。本文描述了应用于以前的AML代码的添加和修改，以产生基于RUSLE的LS因子网格版本。这些更改包括用RUSLE算法替换USLE算法，并重新定义有关坡度特征的一些假设。在美国西部地区进行了测试，基于RUSLE的AML程序产生的LS值与RUSLE手册指南中列出的值大致相当。
A limitation of using the USLE and RUSLE soil erosion models at regional landscape scales has been the difficulty in obtaining an LS-factor grid suitable for use in GIS applications. Previous work resulted in an Arclnfo GRID AML program that allows the creation of a USLE-based LS factor grid using a DEM elevation dataset. This paper describes the additions and modifications applied to the previous AML code to produce a RUSLE-based version of the LS factor grid. These alterations included replacing the USLE algorithms with their RUSLE counterparts and redefining some of the assumptions made regarding slope characteristics. In areas of the Western USA where it was tested, the RUSLE-based AML program has produced LS values that are roughly comparable to those listed in the RUSLE Handbook guidelines.