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The Drought Characteristics Using the First-Order Homogeneous Markov Chain of Monthly Rainfall Data in Peninsular Malaysia

机译:利用马来西亚半岛月降水量数据的一阶齐次马尔可夫链进行的干旱特征

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摘要

Drought characteristics are important in designing the program and measures for drought mitigation and they have been used extensively by various parties in many countries. In Malaysia, the information of drought conditions and identification of drought prone areas is very limited. This study seeked to determine the drought profiles of Peninsular Malaysia using the first order homogeneous Markov chain based on Standardized Precipitation Index (SPI) of one-month time-scale. Monthly readings of rainfall data from 35 monitoring stations in Peninsular Malaysia for the period of 1970-2008 were used in the study. The procedure involved deriving the steady-state probabilities of drought events, the mean residence time for each drought category, the mean recurrence time of drought events and the mean first passage time. Analysis results showed that the longest moderate drought occurred mostly in the northwestern region of Peninsular Malaysia, while severe drought with low duration happened frequently in the middle region. The maximum duration of the severe drought condition is 2 months with majority of the severe drought areas requiring approximately 2 to 3 months to reach a non-drought condition. These results are likely to yield important insight on how to minimise the impacts of severe drought for agriculture and to avoid decadence of the water supply in areas with higher risk of severe drought. Such information would be beneficial to the agriculture planners and water resource management.
机译:干旱特征对于设计缓解干旱的计划和措施很重要,并且在许多国家中已被各方面广泛使用。在马来西亚,关于干旱状况和易旱地区的识别信息非常有限。这项研究旨在基于一个月时间尺度的标准化降水指数(SPI),使用一阶均质马尔可夫链来确定马来西亚半岛的干旱概况。该研究使用了来自马来西亚半岛35个监测站的1970-2008年期间的每月降雨数据。该程序涉及推导干旱事件的稳态概率,每种干旱类别的平均停留时间,干旱事件的平均复发时间和平均首次通过时间。分析结果表明,最长的中度干旱主要发生在马来西亚半岛的西北部地区,而中部地区则经常发生严重且持续时间短的干旱。严重干旱条件的最长持续时间为2个月,而大多数严重干旱地区大约需要2到3个月才能达到非干旱条件。这些结果可能对如何最大程度地减少严重干旱对农业的影响以及如何避免严重干旱高风险地区的供水枯竭产生重要的见解。这样的信息将对农业计划者和水资源管理有益。

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