Crop Climate Simulation Modelling: Environmental Strategies and Agricultural Development of Bangladesh - Tapa blanda

Rahman, M. Sayedur; Mian, M. A. Basher

 
9783848496228: Crop Climate Simulation Modelling: Environmental Strategies and Agricultural Development of Bangladesh
Tapa blanda
ISBN 10: 3848496224 ISBN 13: 9783848496228
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

A stochastic model based on first-order Markov chain was developed to simulate daily rainfall. The model is capable of simulating daily rainfall data of any length, based on the estimated transitional probabilities, mean, standard deviation and skew coefficients of rainfall amounts. A study of rainfall probability is an approach to sound planning for any variation of rainfall either small or large. The simulation model has been used successfully to estimate daily rainfall. The Multivariate logistic regression is used to estimate the probability that it is raining. The logistic regression technique is used to compare between the actual and simulation results for a rainfall from January to December in Bangladesh. The probability of occurrence of rainfall is of vital importance in efficient planning and execution of water use program. This study describes a crop-climate simulation model under rainfed conditions in Bangladesh to be used as a tool for analyzing growth and yield to help planning and management of rice production.

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Reseña del editor

A stochastic model based on first-order Markov chain was developed to simulate daily rainfall. The model is capable of simulating daily rainfall data of any length, based on the estimated transitional probabilities, mean, standard deviation and skew coefficients of rainfall amounts. A study of rainfall probability is an approach to sound planning for any variation of rainfall either small or large. The simulation model has been used successfully to estimate daily rainfall. The Multivariate logistic regression is used to estimate the probability that it is raining. The logistic regression technique is used to compare between the actual and simulation results for a rainfall from January to December in Bangladesh. The probability of occurrence of rainfall is of vital importance in efficient planning and execution of water use program. This study describes a crop-climate simulation model under rainfed conditions in Bangladesh to be used as a tool for analyzing growth and yield to help planning and management of rice production.

Biografía del autor

M. Sayedur Rahman received M.Sc., M. Phil and Ph.D. degree in Statistics. He was joined as a lecturer in 1988, University of Rajshahi, and subsequently he promoted as Professor in 2003. He is involved in many national and international scientific projects & research groups. He has also authored and co-authored more than 50 scientific papers.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3848496224
ISBN 13 
9783848496228
Encuadernación
Tapa blanda
Número de páginas
220
Contacto del fabricante
no disponible
Persona responsable
no disponible