李琪, 许晨纯, 赵文武, 王连喜, 陈璐. 基于地形因子的土壤侵蚀评价指数修正——以陕北安塞集水区为例[J]. 中国生态农业学报(中英文), 2016, 24(3): 316-324.
引用本文: 李琪, 许晨纯, 赵文武, 王连喜, 陈璐. 基于地形因子的土壤侵蚀评价指数修正——以陕北安塞集水区为例[J]. 中国生态农业学报(中英文), 2016, 24(3): 316-324.
LI Qi, XU Chenchun, ZHAO Wenwu, WANG Lianxi, CHEN Lu. Revise of soil loss evaluation index based on terrain factor: A case study of Ansai catchment area in northern Shaanxi[J]. Chinese Journal of Eco-Agriculture, 2016, 24(3): 316-324.
Citation: LI Qi, XU Chenchun, ZHAO Wenwu, WANG Lianxi, CHEN Lu. Revise of soil loss evaluation index based on terrain factor: A case study of Ansai catchment area in northern Shaanxi[J]. Chinese Journal of Eco-Agriculture, 2016, 24(3): 316-324.

基于地形因子的土壤侵蚀评价指数修正——以陕北安塞集水区为例

Revise of soil loss evaluation index based on terrain factor: A case study of Ansai catchment area in northern Shaanxi

  • 摘要: 地形是影响土壤流失的重要因素, 小流域尺度上的土壤侵蚀评价指数(SLsw)对于地形的研究过于简单, 因此本研究对SLsw中的地形因子(G)进行修正, 进而得出G因子修正后的土壤侵蚀评价指数(SLsw_G)。以黄土丘陵沟壑区——?安塞集水区为研究区, 基于GIS技术, 利用2006—2012年安塞集水区的数字高程模型(DEM)数据、水文观测站的日降雨量数据、土壤采样数据和土地利用数据, 计算研究区2006—2012年逐年的SLsw, 利用安塞集水区实测的输沙量, 验证修正的SLsw_G指数的有效性, 并分析安塞集水区土壤侵蚀强度的时空变化特征。结果表明, 修正前后土壤侵蚀情况分布基本相同, 均呈现东南部地区SLsw指数高, 而西北部地区相对较低。在安塞集水区东南部, 由于人为因素的影响, 土壤保持措施相对较弱, 同时土壤中黏粒和粉粒质量较轻, 黏粒和粉粒湿时有明显的黏结性, 降雨过程中容易被水冲刷; 根据土壤采样点的采样数据表明, 东南部地区土壤中黏粒和粉粒的含量较高, 较容易造成土壤侵蚀。修正前后指数通过T检验得出, SLsw和SLsw_G具有方差齐次性, P=0.037<0.05; 通过与实测输沙量的比较, 修正后SLsw_G与实测输沙量的相关系数大于修正前SLsw与实测输沙量的相关系数(0.39>0.36), 修正后的相关性较修正前的相关性有所增加, 说明修正是有效的, 修正后的SLsw指数能够更好地评价研究区域土壤侵蚀状况。

     

    Abstract: Soil erosion is one of the most serious ecological problems in the world, and the terrain is an important factor influencing the soil erosion. Some scholars applied the relevant ideas and theories of landscape ecology and the algorithm of partial factors in Universal Soil Loss Equation (USLE), and brought forward the soil loss evaluation index (SLsw index) for soil erosion measurement at different scales. The SLsw index can reflect to a certain extent the process of soil loss and erosion, avoid the common problems of physical model, and provide us research ideas and methods in the study of land use and soil loss and erosion on different scales. But it was too simple to study the topography, so this study was to modify the topographic factor (G) in SLsw, and then obtained soil erosion evaluation index with correction factor G (SLsw_G). This study chose the Loess Hilly Gully Region of Ansai watershed as the research area, and used GIS technology to calculate the SLsw_G based on the data of Ansai catchment DEM data, daily rainfall data of hydrological observation station, soil sampling data and land use data. The measured sediment transport volume in Ansai watershed was used to verify the modified index. And then the soil erosion intensity and its temporal and spatial variation characteristics of Ansai watershed were analyzed. The results showed that the soil erosion distribution was basically the same before and after the amendment of SL index. The soil erosion was higher in southeast region of Ansai watershed, while it was lower in the northwest region. Due to the influence of human factors, soil conservation measures were relatively weak in the southeastern part of the Ansai watershed. Meanwhile, there were more light soil clay and silt, and the clay and silt had obvious bond when they were wet, so it was easy to be washed away in the course of raining. According to the data of soil sampling analysis, the content of soil clay and silt were higher in the southeast, so it was easy to cause the soil erosion in the southeastern part of the Ansai watershed. According to the T test, the SLsw and SLsw_G has the variance homogeneity before and after the amendment, and P=0.037<0.05. Compared with the measured sediment transport volume, the correlation between the modified index and the measured volume was greater than the correlation between the original index and the measured volume. It can be concluded that the modified index can better explain the regional soil erosion of the study area.

     

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