sajjad razavi; kamran davary; Bijan Ghahraman; Ali Naghi Ziaei; azizallah izady; kazem esahgian; mehri shahedy; fatemeh taleby
Abstract
Limitation of water resources in Iran motivates sustaining and preserving of the resources in order to supply future water needs. Fulfilling these objectives will not be possible unless having accurate water balance of watersheds. The purpose of this study is to estimate the water balance parameters ...
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Limitation of water resources in Iran motivates sustaining and preserving of the resources in order to supply future water needs. Fulfilling these objectives will not be possible unless having accurate water balance of watersheds. The purpose of this study is to estimate the water balance parameters using a distributed method. The large number of distributed models and methods was studied and “Quasi Distributed Water Balance model” (QDWB) was written in the MATLAB programming environment. To conduct this model, it is needed that each data layer (precipitation, potential evapotranspiration, land use, soil data,..) to be converted into grid format. In this research the 500m * 500m cell size was used and water balance parameters for each cell was estimated. Runoff and deep percolation obtained from surface balance equation and irrigation needs were estimated based on soil moisture deficit. The study area of 9157 square kilometers is Neyshabour- Rokh watershed. The results showed there is a good correlation between water balance parameters such as precipitation-runoff, precipitation-evapotranspiration, and precipitation- deep percoulation and demonstrate that QDWB model is consistent with the basin hydrological process.Change in soil moisture at basin wide is 1 MCM in 1388-89 and 40 MCM in 1380-81. The evapotranspiration results from a distributed model” SWAT” and QDWB model were in good agreement.
mehri shahedi; S.H. Sanaiinejad; B. Ghahreman
Abstract
The purpose of this study is regional frequency analysis of Annual Maximum 1-day Rainfall (AM1R) and Annual Maximum 2-day Rainfall (AM2R) using L-moments theory in Khorasan Razavi Province. For this purpose, the basic statistical tests include: homogeneity, independency and outlier data for AM1R and ...
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The purpose of this study is regional frequency analysis of Annual Maximum 1-day Rainfall (AM1R) and Annual Maximum 2-day Rainfall (AM2R) using L-moments theory in Khorasan Razavi Province. For this purpose, the basic statistical tests include: homogeneity, independency and outlier data for AM1R and AM2R were surveyed in 123 rainfall stations. The province was divided into four regions based on cluster analysis, topography and spatial pattern of precipitation. Hydrology homogeneity was also controlled by running heterogeneity test for each region. generalized extreme value (GEV), generalized logistic (GLO), Pearson type III (PE3) and Log Normal type III (LN3) probability distributions were estimated for every region. To select the appropriate distribution of AM1R and AM2R data, the fitness was judged using an L-moment ratio diagram and the Kolmogorov–Smirnov test and GEVdistribution select . The regionally quantile estimateions for GEV distribution were also calculated for AM1R and AM2R data. In all of the Homogeneous regions, the estimated values of AM1R and AM2R from the obtained relations are close enough to the real data of return periods less than 200 years (The largest MAE was 0.0386). The average absolute error between the estimated and the observation values in each region is favorable, showing a high accuracy of the estimation.
