文章摘要
朱浩楠, 杨勤科, 杜朝正, 黄晨璐, 庞国伟, 王春梅, 朱梦阳.基于CSLE模型的巴基斯坦土壤侵蚀评价[J].水土保持学报,2021,35(2):22~30
基于CSLE模型的巴基斯坦土壤侵蚀评价
Assessment of Soil Erosion in Pakistan Based on CSLE Model
投稿时间:2020-10-16  
DOI:10.13870/j.cnki.stbcxb.2021.02.004
中文关键词: 土壤侵蚀  中国土壤流失方程  地图代数  空间插值  直方图匹配  主控因子
英文关键词: soil erosion  Chinese Soil Loss Equation  map algebra  spatial interpolation  histogram matching  dominant influence factor
基金项目:中国科学院战略性先导科技专项子课题“土壤侵蚀定量评价与分区防控对策”(XDA20040202)
作者单位E-mail
朱浩楠1, 杨勤科1,2, 杜朝正1, 黄晨璐1, 庞国伟1,2, 王春梅1,2, 朱梦阳3 1. 西北大学城市与环境学院, 西安 710127

2. 旱区生态水文与灾害防治国家林业局重点实验室
, 西安 710127

3. 陕西土地集团研究院
, 西安 710127 
qkyang@nwu.edu.cn 
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中文摘要:
      通过制作土壤侵蚀图,分析土壤侵蚀主控因子,为巴基斯坦水土流失与保护提供合理的科学依据及治理参考。以土壤侵蚀抽样调查单元数据和土壤侵蚀因子数据为数据源,基于CSLE模型分别以空间插值法和地图代数法定量计算巴基斯坦水蚀区土壤侵蚀图,以空间插值结果为参照对地图代数计算结果做直方图匹配得到巴基斯坦水蚀速率图;采用水利部SL 190—2007标准对巴基斯坦风蚀强度进行了定性评价;使用分类决策树分析土壤侵蚀的主控因子。结果表明,空间插值法制图具有空间预测的准确性,地图代数法制图可以表现良好的局地变异特征;直方图匹配土壤侵蚀图兼具这2种方法的优点,土壤水蚀速率平均值为972.9 t/(km2·a),水蚀区土壤侵蚀比较严重,风蚀区以剧烈风蚀和极强烈风蚀为主,大部分地区生物措施因子是影响土壤侵蚀的主控因子,耕作区和山区的主控因子分别是R因子和LS因子。
英文摘要:
      To provide reasonable scientific basis and control reference for soil erosion conservation in Pakistan, soil erosion map was made, and the dominant factors of soil erosion was analyzed. Based on the Chinese Soil Loss Equation (CSLE), taking soil erosion sampling survey units and soil erosion factor datasets such as rainfall erosivity factor (R factor), soil erodibility factor (K factor), slope steepness and slope length factor (LS factor), biological measure factor (B factor), engineering-control practices factor (E factor), and tillage practices factor (T factor) as data sources, spatial interpolation and map algebra method were used to make soil erosion maps for water erosion area, the spatial interpolation result was then used as a reference to update the map algebra calculation result with histogram matching to obtain the Pakistan water erosion rate map. The standards for classification and gradation of soil erosion (SL 190—2007) proposed by the Ministry of Water Resources of the People's Republic of China was adopted for qualitative evaluation the wind erosion intensity in Pakistan. Meanwhile, classification decision tree was used to analyze the dominant influence factors of soil erosion. The results showed that the spatial interpolation method has good accuracy of spatial prediction while the map algebra method can express good local variation characteristics. The soil erosion map matched by histogram had the advantages of the two methods. Average value of soil water erosion rate was 972.9 t/(km2·a), and the grade of soil erosion was serious. The wind erosion area was dominated by severe and extremely strong wind erosion. Biological measures factor was the dominant influence factor for soil erosion in most areas, while the R factor and LS factor were the dominant influence factors in agricultural area and mountainous area respectively.
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