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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Entropy-Aided Evaluation of Meteorological Droughts Over China
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Entropy-Aided Evaluation of Meteorological Droughts Over China

机译:Entropy-Aided评估气象干旱对中国

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摘要

Evaluation of drought and its spatial distribution is essential to develop mitigation measures. In this study, we employed the entropy index to investigate the spatiotemporal variability of meteorological droughts over China. Entropy values, with a reliable hydrological and geographical basis, are closely related to the months of precipitation deficit and its mean magnitude and can thus represent the physical formation of droughts. The value of entropy index can be roughly classified as 0.90, reflecting high, middle, and low occurrence probabilities of droughts. The accumulated precipitation deficits, based on the standardized precipitation-evapotranspiration index at the 1, 3, 6, and 12 month scales, consistently increase with entropy decrease, no matter considering the moderately, severely, or extremely dry conditions. Therefore, Northwest China and North China, with smaller entropy values, have higher occurrence probability of droughts than South China, with a break at 38°N latitude. The aggravating droughts in North China and Southwest China over recent decades are represented by the increase in both the occurrence frequency and the magnitude. The entropy, determined by absolute magnitude of the difference between precipitation and potential evapotranspiration, as well as its scatter and skewness characteristics, is easily calculated and can be an effective index for evaluating drought and its spatial distribution. We therefore identified dominant thresholds for entropy values and statistical characteristics of precipitation deficit, which would help evaluate the occurrence probability of droughts worldwide.
机译:评估干旱及其空间分布制定缓解措施至关重要。这项研究中,我们利用熵指数调查的时空变异性气象干旱。值,一个可靠的水文和地理基础,密切相关个月的降水赤字和它的意思级,因此可以代表物理干旱的形成。大致可以归类为 0.90,反映出高、中、低干旱的发生概率。积累沉淀赤字,基于标准化precipitation-evapotranspiration指数在1、3、6和12个月的尺度,不断增加与熵减少,不问题考虑到中等、严重或极端干旱条件。中国和北中国,较小的熵值,发生的概率更高比中国南方干旱,休息在38°N纬度。几十年来,中国西南所代表的增加的发生频率和幅度。熵,由绝对星等的决定降水和潜在的区别土壤水分蒸发蒸腾损失总量,以及其分散和偏态特征,很容易计算,可以评估的有效折射率干旱及其空间分布。因此确定主导阈值熵值和统计特征降水赤字,这将有助于评估全球干旱的发生概率。

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