首页> 外文期刊>Journal of earth system science >Joint pattern of seasonal hydrological droughts and ???oods alternation in Chinaa€?s Huai River Basin using the multivariate L-moments
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Joint pattern of seasonal hydrological droughts and ???oods alternation in Chinaa€?s Huai River Basin using the multivariate L-moments

机译:基于多元L-矩的淮河流域季节性水文干旱与洪水交替联合模式

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Under the current condition of climate change, droughts and floods occur more frequently, and events in which flooding occurs after a prolonged drought or a drought occurs after an extreme flood may have a more severe impact on natural systems and human lives. This challenges the traditional approach wherein droughts and floods are considered separately, which may largely underestimate the risk of the disasters. In our study, the sudden alternation of droughts and flood events (ADFEs) between adjacent seasons is studied using the multivariate L-moments theory and the bivariate copula functions in the Huai River Basin (HRB) of China with monthly streamflow data at 32 hydrological stations from 1956 to 2012. The dry and wet conditions are characterized by the standardized streamflow index (SSI) at a 3-month time scale. The results show that: (1) The summer streamflow makes the largest contribution to the annual streamflow, followed by the autumn streamflow and spring streamflow. (2) The entire study area can be divided into five homogeneous sub-regions using the multivariate regional homogeneity test. The generalized logistic distribution (GLO) and log-normal distribution (LN3) are acceptable to be the optimal marginal distributions under most conditions, and the Frank copula is more appropriate for spring-summer and summer-autumn SSI series. Continuous flood events dominate at most sites both in spring-summer and summer-autumn (with an average frequency of 13.78% and 17.06%, respectively), while continuous drought events come second (with an average frequency of 11.27% and 13.79%, respectively). Moreover, seasonal ADFEs most probably occurred near the mainstream of HRB, and drought and flood events are more likely to occur in summer-autumn than in spring-summer.
机译:在当前的气候变化条件下,干旱和洪灾的发生更加频繁,长期干旱后发生洪灾或极端洪灾后发生干旱的事件可能对自然系统和人类生活产生更严重的影响。这对传统方法提出了挑战,在传统方法中,干旱和洪水是分开考虑的,这在很大程度上可能低估了灾难的风险。在我们的研究中,利用多元L矩理论和中国淮河流域(HRB)的双变量copula函数,利用32个水文站的月度流量数据,研究了相邻季节之间干旱和洪水事件(ADFE)的突然交替。从1956年到2012年。在三个月的时间范围内,干燥和潮湿条件的特征在于标准的流量指数(SSI)。结果表明:(1)夏季流量对年流量的贡献最大,其次是秋季流量和春季流量。 (2)使用多元区域同质性检验,可以将整个研究区域划分为五个同质子区域。通用逻辑分布(GLO)和对数正态分布(LN3)在大多数情况下都可以作为最佳边际分布,并且Frank copula更适合于春夏季和夏秋季SSI系列。大部分地点在春夏和夏秋季都持续发生洪灾事件(平均频率分别为13.78%和17.06%),而持续干旱事件次之(平均频率分别为11.27%和13.79%) )。此外,季节性ADFE最有可能发生在HRB的主流附近,而夏季和夏季比春季和夏季更容易发生干旱和洪水事件。

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