Demissie Tamene Adugna
Faculty of Civil and Environmental Engineering, Jimma University, Jimma, 378, Ethiopia.
Heliyon. 2023 May 27;9(6):e16701. doi: 10.1016/j.heliyon.2023.e16701. eCollection 2023 Jun.
This study aimed to assess the impact of climate change on the hydrological components of Gilgel Gibe-1 using the ensemble of Coordinated Regional Climate Downscaling Experiments (CORDEX) Africa Domain namely REMO2009, HIRAM5, CCLM4-8 and RCA4 Regional Climate Models (RCMs) simulations. The performance of these RCM models was evaluated using the observed data from 1985 to 2005 and the ensemble was shown to simulate rainfall and air temperature better than individual RCMs. Then the RCMs ensemble data for historical and future projections from 2026 to 2055 years under RCP4.5 and RCP8.5 were corrected for bias and used to evaluate the impact of climate change. A non-linear bias correction and the monthly mean biases corrections method is used to adjust precipitation and temperature respectively. The future projection shows that; rainfall is expected to increase from August to December with maximum values of 1.97-235.23% under RCP4.5. The maximum temperature is expected to increase with maximum value of 1.62 °C under RCP8.5 in the study area. The calibrated and validated Soil and Water Assessment Tool (SWAT) model was used to investigate the impact of climate change on hydrologic components such as surface runoff, lateral flow, water yield, evapotranspiration and sediment yield. The SWAT model was calibrated and validated using monthly stream flow with the statistical performance of R value of 0.82 and NSE value of 0.72 for calibration and R of 0.79 and NSE of 0.67 for validation. Surface runoff and sediment yield are expected to increase from August to December under RCP4.5 and from August to February under RCP8.5. Overall both surface runoff and sediment yield are expected to increase in the future.
本研究旨在利用非洲区域气候降尺度协调试验(CORDEX)集合数据,即REMO2009、HIRAM5、CCLM4 - 8和RCA4区域气候模型(RCMs)模拟,评估气候变化对吉尔吉尔吉贝-1水文要素的影响。利用1985年至2005年的观测数据对这些RCM模型的性能进行了评估,结果表明该集合数据对降雨和气温的模拟效果优于单个RCM模型。然后,对RCP4.5和RCP8.5情景下2026年至2055年历史和未来预测的RCMs集合数据进行偏差校正,并用于评估气候变化的影响。分别采用非线性偏差校正和月平均偏差校正方法对降水和温度进行调整。未来预测表明,在RCP4.5情景下,8月至12月降雨量预计增加,最大值为1.97% - 235.23%。在RCP8.5情景下,研究区域的最高气温预计将升高,最大值为1.62℃。利用经过校准和验证的土壤与水评估工具(SWAT)模型,研究气候变化对地表径流、侧向水流、产水量、蒸散量和产沙量等水文要素的影响。SWAT模型利用月流量数据进行校准和验证,校准的统计性能R值为0.82,NSE值为0.72,验证的R值为0.79,NSE值为0.67。在RCP4.5情景下,8月至12月地表径流和产沙量预计增加;在RCP8.5情景下,8月至2月地表径流和产沙量预计增加。总体而言,未来地表径流和产沙量预计都会增加。