首页> 外文期刊>Journal of Hydrology >Evaluating the variability in surface water reservoir planning characteristics during climate change impacts assessment
【24h】

Evaluating the variability in surface water reservoir planning characteristics during climate change impacts assessment

机译:在气候变化影响评估期间评估地表水库规划特征的可变性

获取原文
获取原文并翻译 | 示例
           

摘要

This study employed a Monte-Carlo simulation approach to characterise the uncertainties in climate change induced variations in storage requirements and performance (reliability (time- and volume based), resilience, vulnerability and sustainability) of surface water reservoirs. 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 runoff scenarios. The resulting runoff ensembles were used to force simulation models of the behaviour of the reservoir to produce 'populations' of required reservoir storage capacity to meet demands, and the performance. Comparing these parameters between the current and the perturbed provided the population of climate change effects which was then analysed to determine the variability in the impacts. The methodology was applied to the Pong reservoir on the Beas River in northern India. The reservoir serves irrigation and hydropower needs and the hydrology of the catchment is highly influenced by Himalayan seasonal snow and glaciers, and Monsoon rainfall, both of which are predicted to change due to climate change. The results show that required reservoir capacity is highly variable with a coefficient of variation (CV) as high as 0.3 as the future climate becomes drier. Of the performance indices, the vulnerability recorded the highest variability (CV up to 0.5) while the volume-based reliability was the least variable. Such variabilities or uncertainties will, no doubt, complicate the development of climate change adaptation measures; however, knowledge of their sheer magnitudes as obtained 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. (C) 2016 The Author(s). Published by Elsevier B.V.
机译:这项研究采用了蒙特卡洛模拟方法来表征气候变化引起的不确定性,这些不确定性是导致地表水储量和性能(可靠性(基于时间和体积的基础),弹性,脆弱性和可持续性)变化的原因。使用校准的降雨径流(R-R)模型,首先模拟了基准径流量情景。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受气候变化影响的未来径流情景的集合。由此产生的径流集合被用于对储层行为进行模拟模型,以产生所需的储层存储容量以满足需求和性能的“种群”。将这些参数在当前和被扰动之间进行比较,即可得出气候变化影响的总体,然后对其进行分析以确定影响的可变性。该方法已应用于印度北部比斯河上的傍水库。该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,预计两者都会因气候变化而改变。结果表明,随着未来气候变干,所需的储层容量变化很大,变异系数(CV)高达0.3。在性能指标中,漏洞记录的变异性最高(CV最高为0.5),而基于卷的可靠性变异性最小。毫无疑问,这种可变性或不确定性将使适应气候变化的措施复杂化;但是,从本研究中获得的有关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。 (C)2016作者。由Elsevier B.V.发布

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