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Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River Basins

机译:地表径流对干旱和气候变化的敏感性:在流域共享中的应用

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This study quantifies the sensitivity of surface runoff to drought and climate change in the Diyala watershed shared between Iraq and Iran. This was achieved through a combined use of a wide range of changes in the amount of precipitation (a decline between 0% and −40%) and in the potential evapotranspiration rate (an increase between 0% and +30%). The Medbasin-monthly rainfall-runoff model (Medbasin-M) was used for runoff simulation. The model was calibrated for twelve hydrologic years (1962−1973), and the simulation results were validated with the observed annual runoff for nine water years (1974−1982). For the calibration period, the correlation coefficient (r), the root mean squared error (RMSE), the mean absolute error (MAE) and the index of agreement (IoA) were 0.893, 2.117, 1.733 and 0.852, respectively. The corresponding values for validation were 0.762, 1.250, 1.093 and 0.863, in this order. The Reconnaissance Drought Index (RDI) and the Streamflow Drought Index (SDI) were analysed using DrinC software. Three nomographs were introduced to quantify the projected reductions in the annual runoff and the anticipated RDI and SDI values, respectively. The proposed methodology offers a simple, powerful and generic approach for predicting the rate of change (%) in annual runoff under climate change scenarios.
机译:这项研究量化了伊拉克和伊朗共享的迪亚拉流域地表径流对干旱和气候变化的敏感性。这是通过将降水量(下降幅度在0%至-40%之间)和潜在蒸散速率(上升幅度在0%至+ 30%之间)的多种变化组合使用而实现的。使用Medbasin每月降雨径流模型(Medbasin-M)进行径流模拟。对该模型进行了十二个水文年(1962-1973)的校准,并用观测到的九个水年(1974-1982)的年径流量对模拟结果进行了验证。在校准期间,相关系数(r),均方根误差(RMSE),平均绝对误差(MAE)和一致性指数(IoA)分别为0.893、2.117、1.733和0.852。验证的相应值依次为0.762、1.250、1.093和0.863。使用DrinC软件分析了侦察干旱指数(RDI)和水流干旱指数(SDI)。引入了三个列线图,分别量化了预计的年径流量减少量和预期的RDI和SDI值。所提出的方法为预测气候变化情景下年径流量的变化率(%)提供了一种简单,强大且通用的方法。

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