:: Volume 15, Issue 55 (12-2021) ::
jwmseir 2021, 15(55): 37-46 Back to browse issues page
Application of NCEPCFSR Climatic Database Information in the Absence of Observational Information of Dez Dam Watershed
Mohammad Jabrtzadeh , Ali Saremi * , Hossein Ghorbanizadeh Kharazi , Hossein Babazadeh
Abstract:   (1231 Views)
Rainfall-Runoff simulation is one of the main subject of hydrology and environmental management. Therefore, researchers are constantly interested in finding new ways to solve this problem and modify existing models or modeling methods. However, the lack of statistics and information from the poor development of hydrological networks has always been a major problem in countries that facing financial, human and technical crises. There are also cases in border areas that have catchments shared with other countries and access to statistics and information from these catchments will be very difficult to modeling. This problem can be partially solve today by extracting the require data for modeling from global climate centers. Therefore, in this study, in order to solve this problem, try to extract the necessary information for modeling by SWAT and IHACRE integrated distribution models from NCEP CFSR climate center in the upper basin area of Dez Dam. Finally, in order to determine the ability of the models to simulate the runoff of the basin, the criteria of Nash-Satcliffe coefficient (NS) and correlation coefficient (R2) were used. The results showed that the two models performed well in using climate database information Based on this, the values ​​of Nash coefficient and correlation coefficient in SWAT model in calibration stage are 0.78 and 0.84, respectively  and In the validation stage, 0.78, 0.89  and in the IHACRES model, in the calibration stage, 0.83, 0.75, and in the validation stage, 0.77 and 0.81, respectively.
Article number: 5
Keywords: Global Climate Center, IHACRES, NCEP CFSR, Rainfall-Runoff, SWAT.
Full-Text [PDF 1544 kb]   (38 Downloads)    
Type of Study: Research | Subject: Special
Received: 2021/04/13 | Accepted: 2021/06/13 | Published: 2022/02/7


XML   Persian Abstract   Print



Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 15, Issue 55 (12-2021) Back to browse issues page