Estimating hydrologic budgets for six Persian Gulf watersheds, Iran

被引:2
|
作者
Hosseini M. [1 ]
Ghafouri M. [1 ]
Tabatabaei M.R. [1 ]
Goodarzi M. [1 ]
Mokarian Z. [1 ]
机构
[1] Soil Conservation and Watershed Management Research Institute (SCWMRI), P. O. Box: 13445-1136, Tehran
关键词
Iran; Persian Gulf; SWAT model; Water budget;
D O I
10.1007/s13201-016-0478-0
中图分类号
学科分类号
摘要
Estimation of the major components of the hydrologic budget is important for determining the impacts on the water supply and quality of either planned or proposed land management projects, vegetative changes, groundwater withdrawals, and reservoir management practices and plans. As acquisition of field data is costly and time consuming, models have been created to test various land use practices and their concomitant effects on the hydrologic budget of watersheds. To simulate such management scenarios realistically, a model should be able to simulate the individual components of the hydrologic budget. The main objective of this study is to perform the SWAT2012 model for estimation of hydrological budget in six subbasin of Persian Gulf watershed; Golgol, Baghan, Marghab Shekastian, Tangebirim and Daragah, which are located in south and south west of Iran during 1991–2009. In order to evaluate the performance of the model, hydrological data, soil map, land use map and digital elevation model (DEM) are obtained and prepared for each catchment to run the model. SWAT-CUP with SUFI2 program was used for simulation, uncertainty and validation with 95 Percent Prediction Uncertainty. Coefficient of determination (R2) and Nash-Sutcliffe coefficient (NS) were used for evaluation of the model simulation results. Comparison of measured and predicted values demonstrated that each component of the model gave reasonable output and that the interaction among components was realistic. The study has produced a technique with reliable capability for annual and monthly water budget components in Persian Gulf watershed. © 2016, The Author(s).
引用
收藏
页码:3323 / 3332
页数:9
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