首页> 外文会议>IUGG General Assembly >Quantifying the uncertainties of climate change effects on the storage-yield and performance characteristics of the Pong multi-purpose reservoir, India
【24h】

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Pong多功能水库的储藏量和性能特征的影响的不确定性

获取原文

摘要

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 climate-change 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:由于气候变化对降雨,温度和蒸散量的影响,预计气候变化会影响水资源基础设施。但是,这些影响的程度和方向都存在巨大的不确定性。印度北部比斯河上的Pong水库满足灌溉和水力发电的需求。流域的水文状况受到喜马拉雅季节性降雪和冰川以及季风降雨的强烈影响。后者的变化模式和前者的预计消失将对储层的性能产生深远的影响。这项研究采用了蒙特卡洛模拟方法来表征未来储油需求和储层性能的不确定性。使用校准的降雨径流(R-R)模型,首先模拟了基准径流情景。然后使用合理的三角洲变化来扰动R-R输入(降雨和温度),以产生模拟的气候变化径流情景。开发了径流的随机模型,并将其用于生成当前和气候变化对未来情景的影响的合奏。所得的径流合奏用于模拟储层的行为,并确定储层储量和性能特征的“种群”。在当前和扰动之间比较这些参数可以提供对气候变化影响的总体,然后对其进行分析以确定不确定性。结果表明,与使用单个记录的常规做法相反,评估的影响存在很大的差异。无疑,这种多变性或不确定性将使适应气候变化的措施复杂化;但是,如本研究所示,其绝对数量的知识将有助于制定适当的政策和技术干预措施,以维持并可能增强Pong水库的灌溉和其他用途的水安全。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号