2014
DOI: 10.1007/s11269-014-0892-8
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The Drought Characteristics Using the First-Order Homogeneous Markov Chain of Monthly Rainfall Data in Peninsular Malaysia

Abstract: 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 fro… Show more

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Cited by 41 publications
(22 citation statements)
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“…-Interestingly, monthly precipitation tended to increase significantly in January ( Although any drought conditions in Malaysia could be recovered within three months during the dry season [22,38], this natural disaster is still leading to agricultural losses in the region [39]. This is mainly due to the high-water demand from this basin, especially for the paddy irrigation system.…”
Section: Discussionmentioning
confidence: 99%
“…-Interestingly, monthly precipitation tended to increase significantly in January ( Although any drought conditions in Malaysia could be recovered within three months during the dry season [22,38], this natural disaster is still leading to agricultural losses in the region [39]. This is mainly due to the high-water demand from this basin, especially for the paddy irrigation system.…”
Section: Discussionmentioning
confidence: 99%
“…Algorithm evaluation of temporal drought class using PWJADI criterion. assumption of first order Markov chain, this research assume that, given the present month drought classes, the future drought classes/class at particular month/station are conditionally independent (Sanusi et al, 2015). This means that the probabilities of transitions are homogeneous over time.…”
Section: Transition Probabilities Matrix: Drought Index As a Markov Pmentioning
confidence: 99%
“…As the study in various regions such as in Jakarta and Makassar. [17,16,19] The state of emergency and semi-permanent houses will be directly affected by high temperatures, even droughts, [20,21] leading to the inconvenience of fishermen's life.…”
Section: Resultsmentioning
confidence: 99%
“…" [17,16,19] The state of emergency and semi-permanent houses will be directly affected by high temperatures, even droughts, [20,21] [21]. The convenience of life will be exacerbated by the occurrence of the current temperature increase.…”
Section: Resultsmentioning
confidence: 99%
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