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首页> 外文期刊>Journal of Hydrology: Regional Studies >Development of a method to identify change in the pattern of extreme streamflow events in future climate: Application on the Bhadra reservoir inflow in India
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Development of a method to identify change in the pattern of extreme streamflow events in future climate: Application on the Bhadra reservoir inflow in India

机译:开发一种识别未来气候中极端水流事件模式变化的方法:在印度Bhadra水库入水中的应用

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摘要

Study region Bhadra basin (1968 km 2 ), located in peninsular India, is considered for demonstration. Study focus A general framework to assess the impact of climate change on the pattern of daily extreme streamflow events is proposed. Whereas, the impact is confirmed in the recent literature for most of the hydrologic variables at monthly/seasonal time scale, assessment and quantification at finer time scale, e.g. daily, is challenging. Complexity increases for the derived hydrologic variables, such as soil moisture and streamflow as compared to primary hydrologic variables, such as precipitation. The proposed general framework is demonstrated with the daily inflow to the Bhadra reservoir. Different statistical limits of extremes are defined and change in daily extreme pattern (number and magnitude) in the future (2006–2035) is assessed with respect to the baseline period (1971–2000). New hydrological insights for the region Demonstration of the proposed methodology with the inflow to Bhadra reservoir reveals that the daily extreme events are expected to increase in number with the increase in the threshold of the extreme. For a particular threshold, the average magnitude of the extreme events in the future is found to be higher as compared to the baseline period. However, for monthly totals the case is not the same ? it remains almost similar. The methodology, being general in nature, can be applied to other locations in order to assess the future change in streamflow and other derived variables.
机译:位于印度半岛的研究区域Bhadra盆地(1968 km 2)被考虑进行示范。研究重点提出了一个评估气候变化对每日极端水流事件模式影响的总体框架。鉴于最近文献中对大多数水文变量的影响在月/季节时间尺度上得到了证实,在更精细的时间尺度上(例如,每天都充满挑战。与主要的水文变量(如降水​​)相比,导出的水文变量(如土壤水分和水流)的复杂性增加。每天流入巴哈德拉水库的水量证明了拟议的总体框架。定义了不同的极端统计极限,并针对基准期(1971–2000年)评估了未来(2006–2035年)日极端模式(数量和大小)的变化。对该地区的新水文见解提出的方法论与Bhadra水库的涌入一起表明,预计每日极端事件的数量将随着极端阈值的增加而增加。对于特定的阈值,发现未来极端事件的平均强度比基线时间段高。但是,对于每月总数,情况不一样吗?它仍然几乎相似。该方法本质上是通用的,可以应用于其他位置,以评估流量和其他派生变量的未来变化。

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