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Quantifying the uncertainties of climate change effects on the storage-yield and performance characteristics of the Pong multi-purpose reservoir, India

机译:量化气候变化对印度乒乓球多用途水库储量和性能特征的不确定性

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Climate change is predicted to affect water resources infrastructure due to its effect on rainfall, temperature and evapotranspiration. However, there are huge uncertainties on both the magnitude and direction of these effects. The Pong reservoir on the Beas River in northern India serves irrigation and hydropower needs. The hydrology of the catchment is highly influenced by Himalayan seasonal snow and glaciers, and Monsoon rainfall; the changing pattern of the latter and the predicted disappearance of the former will have profound effects on the performance of the reservoir. This study employed a Monte-Carlo simulation approach to characterise the uncertainties in the future storage requirements and performance of the reservoir. Using a calibrated rainfall-runoff (R-R) model, the baseline runoff scenario was first simulated. The R-R inputs (rainfall and temperature) were then perturbed using plausible delta-changes to produce simulated climate change runoff scenarios. Stochastic models of the runoff were developed and used to generate ensembles of both the current and climatechange perturbed future scenarios. The resulting runoff ensembles were used to simulate the behaviour of the reservoir and determine "populations" of reservoir storage capacity and performance characteristics. Comparing these parameters between the current and the perturbed provided the population of climate change effects which was then analysed to determine the uncertainties. The results show that contrary to the usual practice of using single records, there is wide variability in the assessed impacts. This variability or uncertainty will, no doubt, complicate the development of climate change adaptation measures; however, knowledge of its sheer magnitude as demonstrated in this study will help in the formulation of appropriate policy and technical interventions for sustaining and possibly enhancing water security for irrigation and other uses served by Pong reservoir.
机译:预计气候变化预计由于其对降雨,温度和蒸发的影响而影响水资源基础设施。然而,这些效果的大小和方向都存在巨大的不确定性。印度北部Beas河上的Pong水库服务灌溉和水电需求。集水区的水文受到喜马拉雅季节性雪和冰川的影响,以及季风降雨;后者的变化模式和前者的预测消失将对水库的性能产生深远的影响。本研究采用了一个蒙特卡罗模拟方法,以表征在未来的储存需求和水库性能下的不确定性。使用校准的降雨 - 径流(R-R)模型,首先模拟基线径流场景。然后使用合理的δ-改变扰动R-R输入(降雨和温度)以产生模拟的气候变化径流场景。开发了径流的随机模型,用于生成当前和ChinaTechange扰动未来情景的集合。由此产生的径流集合用于模拟水库的行为,并确定储层存储容量和性能特征的“人口”。比较当前和扰动之间的这些参数提供了气候变化效应的群,然后分析了确定不确定性。结果表明,与使用单一记录的通常做法相反,评估的影响方面存在宽泛。毫无疑问,这种可变性或不确定性将使气候变化适应措施的发展变得复杂;然而,如本研究所证明的纯粹幅度的了解将有助于制定适当的政策和技术干预措施,以便维持和可能提高乒乓层灌溉和其他用途的水安全。

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