首页|Relationship between precipitation and the infiltration depth over the middle and lower reaches of the Yellow River and Yangtze-Huaihe River Valley
Relationship between precipitation and the infiltration depth over the middle and lower reaches of the Yellow River and Yangtze-Huaihe River Valley
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The purpose of the paper iS to extract and make the best use of rainfall information contained in the Chinese historical archives of Qing Dynasty,and reconstruct the precipitation series during 1736-1911.The study followed the Yu-Fen-Cun(rainfall infiltration depth)observation method in Qing Dynasty,to conduct soil infiltration experiment under the natural rainfall conditions during 2004-2006.The related parameters,such as precipitation,intensity,initial soil moisture content and infiltration depth have been measured at 10 stations (east of 105°E,30°-40°N)with representative climatic conditions and soil physical texture in the middle and lower reaches of the Yellow River and Yangtze-Huaihe River Valley.The statistical results indicate that precipitation is the primary influencing factor to infiltration depth and is positively correlated with the infiltration depth.Additionally,the effects of every factor On infiltration depth are significantly difierent between the middle and lower reaches of the Yellow River and Yangtze-Huaihe River Valley.Finally,the relationship equations of precipitation and infiltration depth are established for each site,most of which can pass over 60%of the variance explanations and provide quantitative models to reconstruct the precipitation series using Yu-Fen-Curt records in Qing Dynasty.
Middle and lower reaches of the Yellow River and Yangtze-Huaihe River ValleyPrecipitationInfiltration depthYu-Fen-CurtClimatereconstruction
Zhixin Hao、Jingyun Zheng、Quansheng Ge、Xifeng Guo
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Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,11A,Datun Road Anwai,Chaoyang District,Beijing 100101,China
Graduate University of Chinese Academy of Sciences,Beijing 100049,China
NETL
NSTL
万方数据
维普
