基于日降雨信息的月降雨侵蚀力模型  

CONSTITUTION OF MONTHLY RAINFALL EROSIVITY MODELS BASED ON INFORMATION OF DAILY RAINFALL

作　　者：杨轩[1] 梁音[1] 方继青 潘贤章[1] 穆欢[1] 王宝良[1] 

机构地区：[1]中国科学院南京土壤研究所,南京210008 [2]浙江省兰溪市水土保持监督站,浙江兰溪321100

出　　处：《土壤学报》2010年第2期216-222,共7页Acta Pedologica Sinica

基　　金：国家自然科学基金项目(40971163);国家重点基础研究发展计划项目"中国主要水蚀区土壤侵蚀过程与调控研究"(2007CB407206);中国科学院知识创新工程前沿项目"南方红壤区数字小流域的建立与侵蚀定量研究"(ISSASIP0602)资助

摘　　要：在分析浙江省兰溪和嵊州8年共402次自记降雨过程资料的基础上,提出了月侵蚀性雨量(Pmer)、月侵蚀性降雨日数(Dmer)和月内最大3日雨量(Z3m)等3个指标,同时定义了Pmer、Dmer和Z3m的计算方法,并将其引入到降雨侵蚀力模型之中。结果发现:利用Pmer、Dmer和Z3m等指标所建立的月降雨侵蚀力模型,其相对偏差为9·9%,而传统单因子雨量指标所建立的模型,其相对误差为21·6%,显然,前者优于后者。Based on analysis of the pluviometric data of 408 rainfall events in 8 years at Lanxi and Shengzhou Soil and Water Conservation Experiment Stations in Zhejiang Province, 3 factors, i.e. monthly erosive rainfall （Pmer）, number of days of erosive rainfall in a month （Dmer）, and maximum 3-day rainfall in a month （Z3m ）, were proposed, and a computation method defined, And both were introduced into the monthly rainfall erosivity models. The method of excluding low intensity rainfall, using of Pmer/ Dmer to indirectly reflect I′factor in the model, and building of composite indexes, have a good effect on establishment of rainfall models. Results show that relative deviation of the new models based on Pmer, Dmer, Z3m is only 9.9%, while that of the traditional single rainfall factor models is 21.6%. Obviously the former is better than the latter.

关 键 词：降雨侵蚀力(R) 日雨量 侵蚀性降雨 降雨侵蚀力模型 浙江省 

分 类 号：S157.1[农业科学—土壤学]