Rainfall analysis and crop planning in Uttar Pradesh.

摘要

Probabilities concept is adopted to demonstrate the importance of dry and wet spells for planning weather-sensitive agricultural operations. Markov chain model was fitted to weekly rainfall data of four selected stations representing different agroclimatic zones of Uttar Pradesh, India. Initial and conditional probabilities of occurrence of dry and wet spells of different lengths were estimated at these stations and their probabilities, during kharif season were computed.