摘要
降雨侵蚀力不仅是评价土壤流失、输沙量和水质模型的重要参数,也是气候环境变化模拟中的重要参量。基于白龙江流域5个气象站点逐日降雨观测资料,利用Renard等8个降雨侵蚀力模型分别计算白龙江流域降雨侵蚀力,并分析各模型之间的差异。结果表明Renard-Lo年降雨侵蚀力模型误差最大为76.2%,周伏建月降雨侵蚀力模型误差最小为2.1%,月降雨侵蚀力模型计算结果在白龙江流域优于年雨量和日雨量模型结果。白龙江流域年平均侵蚀性降雨占年降雨量的34.5%~46.0%。年降雨量与年平均降雨侵蚀力之间呈现高度相关,可以用幂函数拟合,各站相关系数均超过0.98。
Rainfall erosivity is one of the key parameters for soil erosion, sediment yield and water quality nlodeling, and has grown in importance for environmental modeling of climate change. Based on daily precipitation data from the 5 meteorological stations the annual rainfall erosivity was calculated with the 8 models and the difference between the models were analyzed. The results that the maximum deviation is Model H and its error is 76.2%, the minimum deviation is Model C and its error is 2.1%. The relative amplitude of Model C is closest to the average, which indicates Model C is more suitable for the study area than other models. Monthly rainfall erosivity models are superior to the daily and annual models in the Bailongjiang River Basin. Annual mean erosive rainfall of annual precipitation in Diebu, Dangchang, Zhouqu, Wudu and Wenxian is 46.1% ,44.8% ,43.6% ,46.0% and 34.5%, respectively. And the relationship between annual rainfall and annual mean rainfall erosivity is highly correlated, fitting power function. Simultaneously, the correlation coefficient of each meteorological station is more than 0.98.
出处
《水文》
CSCD
北大核心
2015年第1期55-60,6,共7页
Journal of China Hydrology
基金
国家科技支撑计划课题(2011BAK12B05)
关键词
降雨侵蚀力模型
白龙江流域
土壤侵蚀
年降雨
rainfall erosivity model
Bailongjiang River Basin
soil erosion
annual rainfall
