Method of Extracting LS Factor at Watershed Scale Based on DEM

YANG Qin-ke; GUO Wei-ling; ZHANG Hong-ming; WANG Lei; CHENG Lin; LI Jun

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Method of Extracting LS Factor at Watershed Scale Based on DEM

- Method of Extracting LS Factor at Watershed Scale Based on DEM
- Bulletin of Soiland Water Conservation Vol. 29, Issue 2, Pages: 203-206(2010)
- 作者机构：
  
  1. 西北大学城市与资源学系,陕西,西安,710069
  2. 中国科学院水利部水土保持研究所, 陕西杨凌,712100
  3. 西北农林科技大学, 陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：
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- Published：2010
- 稿件说明：
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YANG Qin-ke, GUO Wei-ling, ZHANG Hong-ming, et al. Method of Extracting LS Factor at Watershed Scale Based on DEM[J]. Bulletin of Soiland Water Conservation, 2010, 29(2): 203-206.
DOI：

YANG Qin-ke, GUO Wei-ling, ZHANG Hong-ming, et al. Method of Extracting LS Factor at Watershed Scale Based on DEM[J]. Bulletin of Soiland Water Conservation, 2010, 29(2): 203-206. DOI：

摘要

流域尺度的坡度坡长(LS)因子计算是区域土壤侵蚀评价的重要基础。基于坡面水文学和土壤侵蚀学，对流域坡度坡长因子计算的基本原理、方法和工作流程进行了讨论。以黄土丘陵区的安塞县县南沟流域为例，对LS因子进行了实例计算，并对计算结果进行了初步分析，同时提出了目前亟待研究的问题。

Abstract

Working out a small watershed planning on the Loess Plateau needs many kinds of geographical data. By taking the Majiagou watershed in Ansai County

Shannxi Province as a typical experimental area

taking the DEM of the watershed as the basic data set

and using ArcGIS and various space analysis technologies

data mining experiments on slope graduation

landform classification

and aspect graduation are conducted and a series of data mining parameters and the indexes for drawing up the planning are obtained. Based on the multi-dimensional geography spatial data sets

a new method of data superimposition and fusion that takes the value code as the core are proposed. The research result has a certain reference value in the planning instruction for other small watersheds on the Loess Plateau.

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Related Institution

Bureau of Hydrology, YRCC, Zhengzhou 450003, He’nan Province

State Key Joint Laboratory of Environmental Simulation and Pollution Control, Institute of Environmental Sciences, Beijing Normal University

Geographical Information Centre, School of Civil Engineering, Southwest Jiaotong University

Information Centre, Land and Resource Department of Sichuan Province

School of Geography, Beijing Normal University

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