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Transition probability behaviors of drought events in the Pearl River basin, China

机译:珠江流域干旱事件的过渡概率行为

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摘要

Deep understanding of transition probability behaviors of droughts is the key to real-time monitoring of droughts and also to enhancement of human mitigation to droughts. In this case, the transition probability matrix of the Markov chain is derived by the copula functions. Six drought status have been classified in the study, and a drought event with the severity not less than a certain drought status has been considered as a certain severe drought. Then the mean duration of a certain severe drought, the mean first passage time from any drought status to no drought status, and also the mean first passage time from no drought status to a certain severe drought were analyzed in this study. The results of this study indicate that: (1) the exceptional drought lasts about 1.5 months and the abnormally dry lasts about 3 months; (2) it takes about 3.5 months for the exceptional drought status to be recovered to no drought while about 1.7 months for the abnormally dry status to be recovered to no drought; and (3) generally, there is a moderate drought in 0.5 year, a severe drought in 1 years, an extreme drought in 1.5 years, and an exceptional drought in 3.5 years. Further, the results of this study indicate higher risk of drought in the southeast part of the Pearl River basin and these regions are densely populated and economically developed, especially in the Pearl River delta. In addition, the west part of the Pearl River basin has also been identified as a region with a higher risk of drought.
机译:深入了解干旱的过渡概率行为是实时监测干旱以及增强人类缓解干旱的关键。在这种情况下,马尔可夫链的转移概率矩阵是由copula函数导出的。在研究中已经分类了六个干旱状况,并且严重程度不小于某个干旱状况的干旱事件被认为是某种严重干旱。然后,分析了某种严重干旱的平均持续时间,从任何干旱状态到没有干旱状态的平均第一次通过时间,以及从无干旱状态到某种严重干旱的平均第一次通过时间。研究结果表明:(1)异常干旱持续约1.5个月,异常干旱持续约3个月; (2)异常干旱状态恢复到无干旱大约需要3.5个月,异常干旱状态恢复到没有干旱大约需要1.7个月; (3)一般而言,中度干旱为0.5年,重度干旱为1年,极度干旱为1.5年,极度干旱为3.5年。此外,这项研究的结果表明,珠江流域东南部的干旱风险更高,这些地区人口稠密,经济发达,尤其是在珠江三角洲。此外,珠江流域西部也被确定为干旱风险较高的地区。

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    Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China|Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Shatin, Hong Kong, Peoples R China;

    Suzhou Univ, Sch Environm & Civil Engn, Suzhou 234000, Anhui, Peoples R China|Sun Yat Sen Univ, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China|Sun Yat Sen Univ, Guangdong High Educ Inst, Key Lab Water Cycle & Water Secur Southern China, Guangzhou 510275, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Dept Water Resources & Environm, Guangzhou 510275, Guangdong, Peoples R China|Sun Yat Sen Univ, Guangdong High Educ Inst, Key Lab Water Cycle & Water Secur Southern China, Guangzhou 510275, Guangdong, Peoples R China;

    Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA|Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA;

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  • 正文语种 eng
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  • 关键词

    Drought behaviors; Markov chain; Copula functions; Transition probability behaviors; Standardized precipitation evapotranspiration index (SPEI);

    机译:干旱行为;马尔可夫链;Copula函数;转移概率行为;标准化降水蒸散指数(SPEI);

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