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首页> 外文期刊>Quaternary International >Does the long-term precipitation variations and dry-wet conditions exist in the arid areas? A case study from China
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Does the long-term precipitation variations and dry-wet conditions exist in the arid areas? A case study from China

机译:干旱地区是否存在长期降水变化和干湿条件?

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摘要

The detailed precipitation characteristics is required for the investigation of regional hydrological processes, precipitation related disasters, and water resources management. Quantifying and understanding the precipitation change in arid area are crucial for prediction of its future and avoiding disasters. In this study, it was investigated the precipitation concentration, and its variability along with the linkage of global large-scale circulation anomalies in Xinjiang between 1960 and 2016. Using meteorological data from 54 weather stations coupling with atmospheric circulation indices, several precipitation indices were used as standard measures for determining the basic characteristics of floods and droughts. Results showed that the characteristics of the precipitation concentration feature were identified by two precipitation indices: precipitation concentration degree (PCD) and precipitation concentration period (PCP). The PCD value has decreased in recent years, which illustrates the characteristics of drought. The values of the precipitation concentration index (PCI) that indicated extreme precipitation ranged from 9 to 20 in 57 years and exhibited a significant decreasing trend in 1960-2016. However, an increasing precipitation condition can be observed through the monthly standardized precipitation index (SPI), which indicates that drought-flood abrupt alternation will be more frequent and the abrupt change should be noticed in recent years. It is found to be suitable to use the long-cycle drought-flood abrupt alternation index (LDFAI) to investigate the characteristics of drought-flood abrupt alternation during summers. Further investigations on the linkage between drought-flood abrupt alternation and atmospheric circulation indices showed that the time delay of LDFAI after an atmospheric anomaly will be 1-4 months. The results of this study will help mitigate and regulate the precipitation related problems in arid area, as well as in other regions.
机译:调查区域水文过程,与降水有关的灾害和水资源管理需要详细的降水特征。量化和了解干旱地区的降水变化对于预测其未来并避免灾害至关重要。在这项研究中,研究了1960年至2016年期间新疆的降水浓度及其变化以及全球大尺度环流异常的联系。利用54个气象站的气象数据结合大气环流指数,使用了几种降水指数作为确定洪水和干旱基本特征的标准措施。结果表明,降水集中度特征由两个降水指数来识别:降水集中度(PCD)和降水集中期(PCP)。近年来,PCD值有所下降,这说明了干旱的特征。表示57年极端降水的降水集中指数(PCI)值在1960-2016年间呈显着下降趋势。然而,通过每月标准降水指数(SPI)可以观察到降水条件的增加,这表明旱涝突变将更加频繁,并且突变趋势应在近年来引起注意。已发现使用长周期旱涝突变指数(LDFAI)来研究夏季旱涝突变的特征是合适的。对旱涝突变与大气环流指数之间联系的进一步研究表明,大气异常后LDFAI的延迟时间为1-4个月。这项研究的结果将有助于减轻和调节干旱地区以及其他地区与降水有关的问题。

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