量化气候变化对埃塞俄比亚巴罗河流域极端水文现象的规模和时间的影响

Shimelash Molla Kassaye, Tsegaye Tadesse, Getachew Tegegne, Aster Tesfaye Hordofa
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摘要

洪水和干旱等极端水文事件对人类和自然系统都产生了相当大的影响。由于气候变化,预计这些事件的发生频率、强度和持续时间都将发生变化,从而给水资源管理和适应带来挑战。本研究对水土评估工具+(SWAT +)模型进行了校核和验证,以模拟巴罗河流域未来共同社会经济路径(SSP2-4.5 和 SSP5-8.5)情景下的流量,校核和验证期间的 R2 值分别为 0.88 和 0.83,NSE 分别为 0.83 和 0.74,PBIAS 分别为 0.39 和 8.87。选择并使用了六个经过偏差校正的 CMIP6 全球气候模型(GCM)来研究气候变化对极端水文现象的规模和时间的影响。所有气候模型模拟结果表明,两种排放情景(SSP2-4.5 和 SSP5-8.5)下的溪流量级普遍增加。多模型集合预测显示,在 SSP2-4.5 中期(MT)(2041-2070 年)和长期(LT)(2071-2100 年)期间,年流量分别增加了 4.8% 和 12.4%,在 SSP5-8.5 中分别增加了 15.7% 和 35.6%。此外,分析表明,预测的年 1 天、3 天、7 天和 30 天最大流量发生了显著变化,而与基线(1985-2014 年)相比,未来情景下的年 3 天和 7 天最小流量波动没有明显趋势。该研究还评估了极端水文事件的发生时间,重点关注低峰和峰值流量事件,并利用每年 7 天的最大和最小流量进行分析。与基线相比,在 SSP2-4.5 方案中,峰值流量和低流量的出现时间都较早,而在 SSP5-8.5 方案中,出现时间则较晚。总之,这项研究显示了气候变化对河流水文和极端流量事件的显著影响,突出了其对知情水资源管理和可持续规划的重要性。
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Quantifying the climate change impacts on the magnitude and timing of hydrological extremes in the Baro River Basin, Ethiopia
Extreme hydrological events, like floods and droughts, exert considerable effects on both human and natural systems. The frequency, intensity, and duration of these events are expected to change due to climate change, posing challenges for water resource management and adaptation. In this study, the Soil and Water Assessment Tool plus (SWAT +) model was calibrated and validated to simulate flow under future shared socioeconomic pathway (SSP2-4.5 and SSP5-8.5) scenarios in the Baro River Basin with R2 values of 0.88 and 0.83, NSE of 0.83 and 0.74, and PBIAS of 0.39 and 8.87 during calibration and validation. Six bias-corrected CMIP6 Global Climate Models (GCM) were selected and utilized to investigate the effects of climate change on the magnitude and timing of hydrological extremes. All climate model simulation results suggest a general increase in streamflow magnitude for both emission scenarios (SSP2-4.5 and SSP5-8.5). The multi-model ensemble projections show yearly flow increases of 4.8% and 12.4% during the mid-term (MT) (2041–2070) and long-term (LT) (2071–2100) periods under SSP2-4.5, and 15.7% and 35.6% under SSP5-8.5, respectively. Additionally, the analysis revealed significant shifts in the projected annual 1 day, 3 day, 7 day, and 30 day maximum flows, whereas the annual 3 day and 7 day minimum flow fluctuations do not present a distinct trend in the future scenario compared to the baseline (1985–2014). The study also evaluated the timing of hydrological extremes, focusing on low and peak flow events, utilizing the annual 7 day maximum and minimum flow for this analysis. An earlier occurrence was noted for both peak and low flow in the SSP2-4.5 scenario, while a later occurrence was observed in the SSP5-8.5 scenario compared to the baseline. In conclusion, this study showed the significant effect of climate change on river hydrology and extreme flow events, highlighting their importance for informed water management and sustainable planning.
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