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黄河流域12.5米分辨率土壤流失方程坡度坡长因子数据集

A dataset of slope length and slope steepness factors based on soil loess equation with 12.5 m spatial resolution in the Yellow River Basin

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【作者】 郑诚史海静张少伟税军峰曹晓萍姜艳敏

【Author】 ZHENG Cheng;SHI Haijing;ZHANG Shaowei;SHUI Junfeng;CAO Xiaoping;JIANG Yanmin;Institute of Soil and Water Conservation, Northwest A&F University;College of Grassland Agriculture, Northwest A&F University;Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources;National Earth System Science Data Center, National Science & Technology Infrastructure of China;Shaanxi Geomatics Center, Ministry of Natural Resources;

【通讯作者】 史海静;

【机构】 西北农林科技大学水土保持研究所西北农林科技大学草业与草原学院中国科学院水利部水土保持研究所国家科技基础条件平台国家地球系统科学数据中心自然资源部陕西基础地理信息中心

【摘要】 黄河流域是中国水土流失和土壤侵蚀最为严重的地区之一。土壤流失方程坡度坡长因子是研究水土流失和土壤侵蚀的关键基础数据,也是土壤侵蚀模型USLE和CSLE中的重要参数。本研究基于ALOS 12.5m DEM数据,通过区域LS因子计算工具计算获取了坡度因子、坡长因子、坡度坡长因子(LS因子)和坡长4个土壤流失关键因子数据。本数据集覆盖了整个黄河流域地区,空间分辨率为12.5m,可为区域水土流失评价、土地利用以及水土保持措施规划等提供数据支撑。

【Abstract】 The Yellow River Basin is one of the areas worst affected by soil and water loss in China. The slope length and slope steepness factors are the basic data for the study on soil loss equation, and they are also important parameters in soil erosion models of USLE and CSLE. In this study, we obtained the dataset of four key factors of soil erosion equation, namely slope steepness factor, slope length factor, LS factor and slope length through regional LS factor calculation tool based on ALOS 12.5 m DEM data. This dataset can be used for regional soil erosion assessment, land use as well as the measures and planning of soil and water conservation.

【基金】 国家科技基础条件平台建设项目(2005DKA32300);中国科学院西部之光“西部青年学者”项目(XAB2020YN04)~~
  • 【文献出处】 中国科学数据(中英文网络版) ,China Scientific Data , 编辑部邮箱 ,2022年04期
  • 【分类号】S157
  • 【下载频次】22
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