Identification Of Characteristics Of The Daily Rainfall Behavior Of Makassar City Using A Probabilistic Approach
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AUTHOR(S)
Wahidah Sanusi, Sahlan Sidjara, Nasrullah Pemu and Sudarmin Patahuddin
KEYWORDS
dry day, duration, Markov chain, probabilistic approach, rainfall, the transition probability, wet day.
ABSTRACT
The purpose of this study is to obtain an overview of the duration of the wet and dry events in Makassar city and to identify probabilities for both wet and dry events using a probabilistic approach. The data used are daily rainfall data for 33 years from 1985 to 2017 from the Maritime Meteorological Station of Makassar city. Based on the results of the study found that the Makassar city more often experiences wet days in December-February and its peak in January and also more often experiences dry days in May-October and its peak in August. The results of this study also showed that the average duration of wetness was 3 days, while it was dry for 5 days. Based on the probabilistic approach, it is found that if today and yesterday had the same condition, namely wet/dry, then it is likely that tomorrow will also experience a wet/dry condition.
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