Investigating the effects of climate change on future hydrological drought in mountainous basins using SWAT model based on CMIP5 model

被引:0
作者
Alireza Samavati
Omid Babamiri
Yousef Rezai
Morteza Heidarimozaffar
机构
[1] Bu-Ali Sina University,Civil Engineering, Faculty of Engineering
[2] Bu-Ali Sina University,Department of Water Science Engineering
[3] Bu-Ali Sina University,Department of Civil Engineering, GIS, Faculty of Engineering
来源
Stochastic Environmental Research and Risk Assessment | 2023年 / 37卷
关键词
Alvand mountain basin; Climate change; Hydrological drought index; Lars-wg6; Mann–Kendall test; SWAT;
D O I
暂无
中图分类号
学科分类号
摘要
Since climate change is a major challenge that affects the environment, especially the hydrological flow, this research has used the Soil and Water Assessment Tool (SWAT) to study the climate change effects on the runoff in Alvand mountain basin in Iran. The SWAT model calibration was done based on the SUFI-2 algorithm and the validation results for a 20-year prediction period (2020–2040) showed that the model had high accuracy in simulating the runoffs. CMIP5 models were used to predict the basin’s temperature and rainfall (the best scenario was Miroc5) and the results showed that the basin’s future climate conditions increase in temperature and decrease in rainfall were appropriate. According to Miroc5 (RCP8.5), the annual runoff in the mentioned period would decrease by 8.36% compared to the past. In a seasonal scale, the largest runoff reduction would be 75% in summer (under the Miroc5 (RCP4.5)), and in a monthly scale, it would be 79% in April increasing dramatically to reach 335% in September (under Miroc5 (RCP8.5)). The trend of the future runoff was investigated using the Mann–Kendall model and the Gresson estimation method. Results showed that there would be no significant trend in the mentioned period and the trend of the future drought intensity would be increasing under all studied scenarios.
引用
收藏
页码:849 / 875
页数:26
相关论文
共 311 条
[1]  
Abbaspour KC(2007)Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT J Hydrol 333 413-430
[2]  
Yang J(2015)A continental-scale hydrology and water quality model for Europe: calibration and uncertainty of a high-resolution large-scale SWAT model J Hydrol 524 733-752
[3]  
Maximov I(2019)Uncertainty assessment in drought severities for the Cheongmicheon watershed using multiple GCMs and the reliability ensemble averaging method SustainBasel 11 4283-77
[4]  
Siber R(2019)Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran) Phys Chem Earth Parts a/b/c 111 65-7609
[5]  
Bogner K(2009)Validation of SWAT model for stream flow simulation and forecasting in Upper Bernam humid tropical river basin, Malaysia Hydrol Earth Syst Sci Discus 6 7581-210
[6]  
Mieleitner J(2019)Coupled SWAT-MODFLOW model for large-scale mixed agro-urban river basins Environ Model Softw 115 200-76
[7]  
Srinivasan R(2013)Simulação hidrológica em uma bacia hidrográfica representativa dos Latossolos na região Alto Rio Grande, MG Rev Bras Engenharia Agrícola Ambiental 17 69-E1061
[8]  
Abbaspour KC(2021)Climate change impact assessment on water resources under RCP scenarios: a case study in Mundaú River Basin, Northeastern Brazil Int J Climatol 41 E1045-69
[9]  
Rouholahnejad E(1993)A comprehensive surface-groundwater flow model J Hydrol 142 47-89
[10]  
Vaghefi SRINIVASANB(1998)Large area hydrologic modeling and assessment part I: model development 1 J Am Water Resour Assoc 34 73-421