砒砂岩地区降雨与植被耦合关系对侵蚀产沙的影响

发布时间：2019-03-14 17:47

【摘要】：研究降雨—植被耦合关系对侵蚀产沙的影响,为侵蚀治理提供数据支持。基于TRMM降雨数据和MODIS 250 m NDVI,分析降雨和植被的年内分布模式和匹配关系,并构建降雨—植被耦合指数RV,用于反映侵蚀产沙状况。进一步利用年降雨量、NDVI以及其分布参数(峰度系数和偏斜度)与输沙量进行相关分析和多元回归分析。结果显示:降雨的集中、偏斜程度和波动性要比植被更为明显;RV与实际输沙量的相关系数为0.84,可以很好地反映侵蚀产沙的相对大小;年输沙量与降雨的分布参数相关性最高,达到0.94和0.87,对提高回归模型的拟合程度影响也最大;考虑降雨量、NDVI及其分布参数的模型的拟合程度最好,Ra2达到0.9232。因此,降雨与植被的年内匹配模式对侵蚀产沙具有重要影响。
[Abstract]:The effects of rainfall-vegetation coupling on sediment yield were studied in order to provide data support for erosion control. Based on TRMM rainfall data and MODIS 250m NDVI, the annual distribution patterns and matching relationships of rainfall and vegetation were analyzed, and the rainfall-vegetation coupling index (RV,) was constructed to reflect the erosion and sediment yield. The annual rainfall, NDVI and its distribution parameters (kurtosis coefficient and skewness) were used for correlation analysis and multivariate regression analysis. The results show that the concentration of rainfall, the degree of deviation and the fluctuation of rainfall are more obvious than that of vegetation, and the correlation coefficient between RV and actual sediment transport is 0.84, which can well reflect the relative size of erosion and sediment yield. The annual sediment transport had the highest correlation with the rainfall distribution parameters, reaching 0.94 and 0.87, which had the greatest influence on the fitting degree of the regression model. Considering the rainfall, the model of NDVI and its distribution parameters had the best fitting degree, and the Ra2 of the model was 0.9232. Therefore, the annual matching model of rainfall and vegetation plays an important role in erosion and sediment yield.
【作者单位】：黄河中下游数字地理技术教育部重点实验室;河南大学环境与规划学院;
【基金】：国家科技支撑计划项目(2013BAC05B01) 河南大学青年科研人才种子基金(ZZJJ20140009) 黄河中下游数字地理技术教育部重点实验室开放基金(GTYR2013006)
【分类号】：S157

【共引文献】