基于日降雨信息的月降雨侵蚀力模型
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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


Constitution of monthly rainfall erosivity models based on information of daily rainfall
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    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(Z)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。

    Abstract:

    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.

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杨轩,梁音,方继青,潘贤章,穆欢,王宝良.基于日降雨信息的月降雨侵蚀力模型[J].土壤学报,2010,47(2):216-222. DOI:10.11766/trxb200809090203 Yang Xuan, Liang Yin, Fang Jiqing, Pan Xianzhang, Mu Huan, Wang Baoliang. Constitution of monthly rainfall erosivity models based on information of daily rainfall[J]. Acta Pedologica Sinica,2010,47(2):216-222.

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