Hossein Salehi; Saeid Gharechelou; Saeed Golian; Mohammad Reza Ranjbari; Emad Mahjoobi
Abstract
Simulation of runoff for long-term climatic studies is crucial for effective water resource management in a watershed. However, obtaining long-term input data can be challenging, especially in remote and inaccessible areas. Recently, long-term climatic precipitation data have proven to be highly efficient ...
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Simulation of runoff for long-term climatic studies is crucial for effective water resource management in a watershed. However, obtaining long-term input data can be challenging, especially in remote and inaccessible areas. Recently, long-term climatic precipitation data have proven to be highly efficient in various fields. In this study runoff was simulated in the Hableroud basin from 1992 to 1996 using three climatic rainfall data sources: APHRODITE, PERSIANN-CDR, and ERA5-Land, as well as interpolated rainfall data from rain gauge stations. The Variable Infiltration Capacity (VIC) model was employed to simulate runoff with Kling Gupta efficiency (KGE) as a objective function. To assessment the accuracy of precipitation data from each dataset, at the cell scale a network was developed by Inverse distance weighted (IDW) method. The results indicated that the APHRODITE dataset had the highest accuracy while PERSIANN-CDR had the lowest. The KGE for simulated daily runoff with IDW data was 0.78 during the calibration period and 0.76 during the validation period. Evaluating the simulated runoff using climatic precipitation data revealed that PERSIANN-CDR satellite precipitation data was less accurate in detecting precipitation amounts but performed better in simulating runoff. The KGE for this data on a daily scale was 0.64 during the calibration period and 0.77 during the validation period. The KGE for APHRODITE precipitation data, based on IDW data ranked second with values of 0.62 and 0.75 during the calibration and validation periods, respectively. ERA5-Land precipitation data, ranked third with a KGE of 0.50 during the calibration period and 0.66 during the validation period. These findings indicate that climatic precipitation data can be effectively utilized in watershed management studies with low cost and appropriate accuracy, particularly in basins lacking a regular network or long-term data availability.Additionally results demonstrated that the VIC hydrological model performed well in simulating daily and monthly runoff.
Zahra Khanmohammadi; Emad Mahjoobi; Saeid Gharachelou; Ashkan Banikhedmat
Abstract
Precipitation estimation is of great importance in energy balance calculations, hydrological studies, meteorology and agricultural, industrial, domestic and drinking purposes. Due to the importance of precipitation data in various sciences and the lack of an extensive and appropriate rainfall network, ...
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Precipitation estimation is of great importance in energy balance calculations, hydrological studies, meteorology and agricultural, industrial, domestic and drinking purposes. Due to the importance of precipitation data in various sciences and the lack of an extensive and appropriate rainfall network, especially in mountainous catchments, it is necessary to estimate precipitation data and evaluate their accuracy. The purpose of this study is to evaluate the precipitation data of three IMERG satellite products of near real-time type, 3B42RT-7 of real-time type and PERSIANN-CDR of final-run type in the period of 06/01/2000 to 09/31/2018 in 41 rain gauge stations and three synoptic stations in and around the Neishabour Catchment area on a daily and monthly time scale. Examination of various statistical indicators showed that none of the three satellite products is a good representative of terrestrial data on a regional and daily scale. Therefore, the use of these products on a daily basis in this basin in hydrological models is not recommended. On the other hand, the monthly scale showed much better performance due to the adjustment of the error of estimating daily precipitation. So that, the correlation coefficient and Nash Sutcliffe coefficient of PERSIANN-CDR with monthly precipitation data in the basin are about 90% and 0.75, respectively, and the evaluation of this product is much better than the two products 3B42RT-7 and IMERG. Accordingly, the use of monthly scale precipitation products of the final-run type in water balance studies, especially in basins without statistics, can be considered.
