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Projected regional responses of precipitation extremes and their joint probabilistic behaviors to climate change in the upper and middle reaches of Huaihe River Basin, China

机译:淮河流域中上游地区极端降水及其联合概率行为的区域预测响应

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The objective of this paper is to investigate the projected regional responses of univariate and bivariate behaviors of extreme precipitation to climate change over the upper-middle Huaihe River Basin. Based on twelve GCM outputs under historical, RCP4.5 and the observations at 32 rainfall stations, the equidistant cumulative distribution function matching method (EDCDFm) was utilized to bias correct daily precipitation during the historical (1961-2005) and future (2021-2080) periods. Four precipitation indices combinations were introduced based on eight precipitation indices to characterize the regional-scale changes of precipitation events, which designate the duration, intensity and amount of heavy and weak precipitation in a year. Their dependence structures were captured by Copulas. Kendall return period (KRP) were applied to discuss hazard scenarios and we quantified the spatial variability of KRPs under different marginal values. The results indicated that projected precipitation characteristics including the average intensity, the amount of annual precipitation, the intensity and amount of extreme precipitation together with annual extremes displayed increasing trends, while the changes of consecutive wet and dry days did not present pronounced trends. Decreased KRPs in the vast majority of the territory manifested that the frequency of simultaneous floods and droughts in a year as well as that of extreme heavy precipitation events would augment. Obvious spatial heterogeneity of the changes of KRP was partly attributed to the topography difference, especially the coastal areas along the main stream of the Huaihe River. Consequently, there will be a higher risk of water resources-related issues in this region for upcoming decades.
机译:本文的目的是研究怀河中上游地区极端降水对气候变化的单变量和双变量行为的区域预测响应。基于历史,RCP4.5下的十二个GCM输出以及在32个降雨站的观测,利用等距累积分布函数匹配方法(EDCDFm)对历史(1961-2005)和未来(2021-2080)期间的每日降水量进行校正。 )期间。在八个降水指数的基础上,引入了四个降水指数组合,以描述降水事件的区域尺度变化,从而确定了一年中强降水和弱降水的持续时间,强度和数量。他们的依赖结构被科普拉斯捕获。肯德尔(Kendall)返还期(KRP)用于讨论危险情景,并量化了不同边际值下KRP的空间变异性。结果表明,预计的降水特征包括平均强度,年降水量,极端降水的强度和数量以及年极端值显示出增加的趋势,而连续的干湿日变化没有明显的趋势。大部分领土的KRPs减少表明,一年中同时发生的洪水和干旱以及极端强降雨事件的频率都会增加。 KRP变化的明显空间异质性部分归因于地形差异,特别是淮河干流沿岸地区。因此,在未来几十年中,该地区与水资源有关的问题的风险将更高。

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