Markov Chain Probability Models to Describe Bi-modal Rainfall Pattern in Sri Lanka
نویسندگان
چکیده
Purpose: Sri Lanka is a tropical island with prominent four monsoonal seasons. The rainfall pattern of the country follows bi-modal distribution two peaks centred on growing Model bimodel using Markov probability chain model was objective this study. Research Method: Both first and second-order models were developed for Anuradhapura, Badulla, Hambanthota Katunayake daily data 1981–2011 period locations selected to cover major parts country. fit done Instat Statistical Programme. Findings: successfully described rainfall. In general, both transitional probabilities in order (p_rd p_rr) three except after dry day rainy (p_rrd) followed peaks. sum logs amount (lr) days (r_mean) also showed models, stations zone higher agreement simulated Limitations: Lack continuous long-term one limitations. Originality/ Value: It evident that are very much capable explain Lanka.
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ژورنال
عنوان ژورنال: Journal of Agricultural Sciences
سال: 2022
ISSN: ['2386-1363', '1391-9318']
DOI: https://doi.org/10.4038/jas.v17i2.9745