A rainfall simulation model for agricultural development in Bangladesh

Autor:	M. Sayedur Rahman
Jazyk:	angličtina
Rok vydání:	2000
Předmět:	Simulation modelling Markov chain Probability distribution Latin Hypercube Sampling Agro-technology. Mathematics QA1-939
Zdroj:	Discrete Dynamics in Nature and Society, Vol 5, Iss 1, Pp 1-7 (2000)
Druh dokumentu:	article
ISSN:	1026-0226 1607-887X 10260226
DOI:	10.1155/S1026022600000339
Popis:	A rainfall simulation model based on a first-order Markov chain has been developed to simulate the annual variation in rainfall amount that is observed in Bangladesh. The model has been tested in the Barind Tract of Bangladesh. Few significant differences were found between the actual and simulated seasonal, annual and average monthly. The distribution of number of success is asymptotic normal distribution. When actual and simulated daily rainfall data were used to drive a crop simulation model, there was no significant difference of rice yield response. The results suggest that the rainfall simulation model perform adequately for many applications.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/20beb3148f7642019d3fdca28591fa01 Zobrazit plný text záznamu Plný text View record in DOAJ