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[1]ZHANG Shao-wei,YANG Qin-ke,LU Guang-yong.The Theoretical Distribution of Monthly Rainfall in Northern Shaanxi Loess Plateau[J].Research of Soil and Water Conservation,2011,18(03):1-4.

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The Theoretical Distribution of Monthly Rainfall in Northern Shaanxi Loess Plateau

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 18 Number of periods: 2011 03 Page number: 1-4 Column: Public date: 2011-06-20

Title:: The Theoretical Distribution of Monthly Rainfall in Northern Shaanxi Loess Plateau

Author(s):: ZHANG Shao-wei¹, YANG Qin-ke^1,2, LU Guang-yong¹; 1. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shanxi 712100, China;
2. College of Urban and Environmental Science, Northwest University, Xi’an 710069, China

Keywords:: monthly rainfall distribution; theoretical distribution function; maximum likelihood method

CLC:: P426.61⁺4

DOI:: -

Abstract:: Based on the hourly datasets of rainfall intensity from two typically climate data stations in northern Shaanxi,the paper studied the optimal theoretical distribution function of hourly rainfall intensity on the monthly temporal scale in this area.The aim is to improve the performance of hydrological and soil conservation models.When rainfall intensity datasets are used,the models will be greatly improved.The results showed that parameters of TDFs(including LOGN,GAMA and WBL etc.),estimated by maximum likelihood method,can reproduce the shape of monthly distribution of rainfall intensity very well.Values of COE were greater than 0.7 for more than 90% of months and greater than 0.9 for more than 50% of months.Meanwhile,the distribution of WBL is recommended in study of rainfall distribution in northern Shaanxi due to its good performance in reproducing the peak value of rainfall intensity.

References:: [1] Koutsoyiannis D.Rainfall disaggregation methods:theory and applications[C].Workshop on Statistical and Mathematical Methods for Hydrological Analysis,2003.
[2] Zhang X,Garbrecht J.Evaluation of Cligen Precipitation Parameters and Their Implication on Wepp Runoff and Erosion Prediction[J].Transactions of the ASAE,2002,46(2):311-320.
[3] Kandel D,Western A,Grayson R,et al.Process parameterization and temporal scaling in surface runoff and erosion modelling[J].Hydrological Processes,2004,18(8):1423-1446.
[4] Anderson B,Siriwardena L,Western A,et al.Which theoretical distribution function best fits measured within day rainfall distributions across Australia[C].30th Hydrology and Water Resources Symposium,2006.
[5] 谢云,林小鹃,殷水清,等.中国次雨量特征及其区域分异[J].地理学报,2009,64(3):323-330.
[6] 谢云,章文波.用日雨量和雨强计算降雨侵蚀力[J].水土保持通报,2001,21(6):53-56.
[7] Kirby W.Algebraic boundedness of sample statistics[J].Water Resources Research,1974,10(2):220-222.
[8] Li M,Shao Q,Renzullo L.Estimation and spatial interpolation of rainfall intensity distribution from the effective rate of precipitation[J].Stochastic Environmental Research and Risk Assessment,2010,24(1):117-130.
[9] Cunnane C.Unbiased plotting positions:a review[J].Journal of Hydrology,1978,37(3/4):205-222.
[10] Legates D,McCabe G Jr.Evaluating the use of‘goodness-of-fit’measures in hydrologic and hydroclimatic model validation[J].Water Resources Research,1999,35(1):233-241.
[11] Parsons A,Stone P.Effects of intra-storm variations in rainfall intensity on interrill runoff and erosion[J].Catena,2006,67(1):68-78.

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