發(fā)布時間：2019-03-14 17:47

【摘要】：研究降雨—植被耦合關(guān)系對侵蝕產(chǎn)沙的影響,為侵蝕治理提供數(shù)據(jù)支持�；赥RMM降雨數(shù)據(jù)和MODIS 250 m NDVI,分析降雨和植被的年內(nèi)分布模式和匹配關(guān)系,并構(gòu)建降雨—植被耦合指數(shù)RV,用于反映侵蝕產(chǎn)沙狀況。進一步利用年降雨量、NDVI以及其分布參數(shù)(峰度系數(shù)和偏斜度)與輸沙量進行相關(guān)分析和多元回歸分析。結(jié)果顯示:降雨的集中、偏斜程度和波動性要比植被更為明顯;RV與實際輸沙量的相關(guān)系數(shù)為0.84,可以很好地反映侵蝕產(chǎn)沙的相對大小;年輸沙量與降雨的分布參數(shù)相關(guān)性最高,達到0.94和0.87,對提高回歸模型的擬合程度影響也最大;考慮降雨量、NDVI及其分布參數(shù)的模型的擬合程度最好,Ra2達到0.9232。因此,降雨與植被的年內(nèi)匹配模式對侵蝕產(chǎn)沙具有重要影響。
[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.
【作者單位】： 黃河中下游數(shù)字地理技術(shù)教育部重點實驗室;河南大學(xué)環(huán)境與規(guī)劃學(xué)院;
【基金】：國家科技支撐計劃項目(2013BAC05B01) 河南大學(xué)青年科研人才種子基金(ZZJJ20140009) 黃河中下游數(shù)字地理技術(shù)教育部重點實驗室開放基金(GTYR2013006)
【分類號】：S157

【共引文獻】

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