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Journal of Environmental Informatics

Online ISSN 1684-8799 / Print ISSN 1726-2135

 

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   Volume 16   Number 1   September  2010 = non-subscribed

doi:10.3808/jei.201000173 About DOIs

JEI 16(1) 2010, Pages 11-18  

© 2010 ISEIS. All rights reserved.

Disaggregation Model of Daily Rainfall and Its Application in the Xiaolihe Watershed, Yellow River

L. He*, G. Q. Wang and X. D. Fu

Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China

*Corresponding author. Tel: +86 10 62795864 Fax: Email: he-li@mail.tsinghua.edu.cn

 

Abstract

In the continuous simulation of the whole sediment process in Coarse Sediment Area, one of the outstanding problems is getting rainfall data with high spatial and temporal resolution. For the calculation in Digital Watershed Model of Yellow River, one characteristic is huge calculation, as calculation is carried out on each river segment, with 797 river segments in a drainage area of 807km2. A downscaling method was proposed which could disaggregate daily rainfall data into one-hour timescale rapidly. This method was based on rain-cell conception and relationships between rainfall depth and duration time grouped by month. Secondly, several event-related characteristics, the distribution of event amount, event start time and the concurrency of number of events on a day of the generated hourly rainfall series, were compared with the observed data. Thirdly, this method was used in the hydrology simulation of water and sediment erosion in Xiaolihe Watershed. The analysis indicated that, the proposed method could be used to downscale daily rainfall series to hourly, and then used in the simulation of sediment process with Digital Watershed Model of Yellow River.


Keywords: downscaling method, rain-cell, hydrology simulation, huge calculation, digital watershed model of Yellow River

 

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Cite this paper as: L. He, G. Q. Wang and X. D. Fu, 2010. Disaggregation Model of Daily Rainfall and Its Application in the Xiaolihe Watershed, Yellow River. Journal of Environmental Informatics, 16(1), 11-18. http://dx.doi.org/10.3808/jei.201000173


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