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Assessing the Impact of Climate Changes on Hydrological Drought Based on Reservoir Performance Indices (Case Study: ZayandehRud River Basin, Iran)

机译:根据水库性能指标评估气候变化对水文干旱的影响(案例研究:伊朗扎延德鲁德河流域)

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摘要

We investigated the potential impacts of climate changes on hydrological drought of the Zayandehrud basin in Iran. The meteorological data was simulated using the LARS-WG model by output downscaling of HADCM3, INCM3 and NCCCSM from 2011 to 2040 under A1B, A2 and B1 scenarios. In order to estimate the runoff of the basin, the IHACRES model was calibrated and validated by data obtained from the Koohrang station during 1987-2007. The runoff was calculated for 2011-2040 period based on the mean of downscaling values in the IHACRES model. Then, the impact of climate changes on hydrological drought was studied by a probabilistic approach and MSUI index. The results revealed a drastic reduction in normal levels and also a significant increase in moderate, severe, and very severe drought levels in the future compared to the base period. The MSUI index represents a 42.32% reduction in the normal level based on the HADCM3 model under A1B scenario as well as an 86.8%increasein the severe drought. Furthermore, the HADCM3 model using the probabilistic approach showed a 73% reduction under the A2 scenario for normal condition and an increase of 20% for severe drought.
机译:我们调查了气候变化对伊朗Zayandehrud盆地水文干旱的潜在影响。使用LARS-WG模型,通过在A1B,A2和B1情景下从2011年到2040年HADCM3,INCM3和NCCCSM的输出缩小比例,模拟了气象数据。为了估算流域的径流,对IHACRES模型进行了校准和验证,该模型由1987-2007年从Koohrang站获得的数据进行了验证。根据IHACRES模型中降尺度值的平均值,计算了2011-2040年期间的径流。然后,通过概率方法和MSUI指数研究了气候变化对水文干旱的影响。结果表明,与基准期相比,未来的正常干旱水平将大大降低,中度,重度和非常严重的干旱水平也将显着增加。基于HADCM3模型,在A1B情景下,MSUI指数正常水平降低42.32%,严重干旱增加86.8%。此外,使用概率方法的HADCM3模型在正常情况下,在A2情景下显示减少了73%,在严重干旱下增加了20%。

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