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A universal multifractal approach to assessment of spatiotemporal extreme precipitation over the Loess Plateau of China

机译:中国黄土高原评估时空极端降水的普遍多分术方法

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摘要

Extreme precipitation?(EP) is a major external agent driving various natural hazards in the Loess Plateau?(LP), China. However, the characteristics of the spatiotemporal?EP responsible for such hazardous situations remain poorly understood. We integrate universal multifractals with a segmentation algorithm to characterize a physically meaningful threshold for EP?(EPT). Using daily data from?1961 to?2015, we investigate the spatiotemporal variation of?EP over the?LP. Our results indicate that (with precipitation increasing) EPTs range from 17.3?to 50.3 mm d?1, while the mean annual?EP increases from 35?to 138 mm from the northwestern to the southeastern?LP. Further, historically, the EP?frequency?(EPF) has spatially varied from 54 to 116 d, with the highest EPF occurring in the mid-southern and southeastern?LP where precipitation is much more abundant. However, EP?intensities tend to be strongest in the central?LP, where precipitation also tends to be scarce, and get progressively weaker as we move towards the margins (similarly to EP?severity). An examination of atmospheric circulation patterns indicates that the central?LP is the inland boundary with respect to the reach and impact of tropical cyclones in China, resulting in the highest?EP intensities and EP?severities being observed in this area. Under the control of the East Asian monsoon, precipitation from June to September accounts for 72 % of the total amount, and 91 % of the total?EP events are concentrated between June and August. Further, EP?events occur, on average, 11 d earlier than the wettest part of the season. These phenomena are responsible for the most serious natural hazards in the?LP, especially in the central LP region. Spatiotemporally, 91.4 % of the LP?has experienced a downward trend in precipitation, whereas 62.1 % of the area has experienced upward trends in the EP?indices, indicating the potential risk of more serious hazardous situations. The universal multifractal approach considers the physical processes and probability distribution of precipitation, thereby providing a formal framework for spatiotemporal EP assessment at the regional scale.
机译:极端降水量?(EP)是一种主要的外部代理,在黄土高原驾驶各种自然灾害?(LP),中国。然而,对这种危险情况负责的时空普通的特征仍然明白。我们将通用多方程集成了分割算法,以表征EP的物理有意义的阈值?(EPT)。从?1961年使用日常数据到2015年,我们调查了ep上的时空变化吗?我们的结果表明(随着降水增加)EPTS范围从17.3?到50.3毫米d?1,而平均年度何种每年?从西北部到东南部的35毫米增加到138毫米。此外,历史上看,EP?频率?(EPF)在空间上从54到116天变化,在南部和东南部发生最高的EPF?LP,其中降水要大得多。然而,EP?强度在中央?LP中往往最强,其中降水也易稀缺,并且随着我们朝向边缘的移动(与EP?严重程度同样地),逐渐变得越来越弱。对大气循环模式的检查表明中央?LP是对中国热带气旋的影响和影响的内陆边界,导致最高的?EP强度和EP?在这方面被观察到的严重程度。根据东亚季风的控制,6月至9月的降水量占总金额的72%,占6月至8月之间的总数的91%。此外,EP?事件平均出现,比季节最潮湿的部分早于11天。这些现象负责?LP中最严重的自然危害,特别是在中央LP地区。 LP的91.4%的Spatiotally?经历了下降趋势,而该地区的62.1%在EP中经历了上升趋势?指数,表明危险情况更严重的潜在风险。通用多法分族方法考虑了降水的物理过程和概率分布,从而为区域规模提供了正式的时空EP评估框架。

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