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Rainfall analysis for crop planning under rainfed condition at Mirzapur district in Vindhya plateau of Indo-Gangetic Plain

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Title Rainfall analysis for crop planning under rainfed condition at Mirzapur district in Vindhya plateau of Indo-Gangetic Plain
Not Available
 
Creator Gaurav Singh
R.M. Singh ,
V.K. Chandola
Anupam Kumar Nema
 
Subject Chi-square test, Crop planning, Incomplete gamma probability, Markov chain process, Thornthwaite water balance
 
Description Not Available
The spatial and temporal inconsistency of rainfall has increased during the recent
decade, particularly in rainfed regions of the country. The rainfed areas face deficit and
surplus distribution of rainfall during critical stages of crop growth. Therefore,
planning of different agricultural activities consistent with these changes and specific
crop is envisaged as key to safe guard against crop failure. In this study, analysis of 36
years (1980-2016) rainfall data using Markov chain model is used to find initial,
conditional and consecutive dry and wet week probability and rainfall at different
probability levels using incomplete gamma distribution. The forward and backward
accumulation of rainfall is used for assessment of onset and withdrawal of rainy
season. The weekly water balance for water deficit and surplus is carried using
Thornthwaite method and best fit frequency distribution is identified for annual water
deficit using chi square test. The average annual rainfall of Mirzapur district is found to
be 1022.17 mm with 21.6% coefficient of variation. The onset and withdrawal of rainy
season starts effectively from 24th week (11-17 June) and under delayed condition,
rainy season starts by 26th week (25 June-01 July). Under normal conditions, the rainy
season starts by 25th week (18-24 June). The rainy season ends at earliest by 42th week
(18-24 October) and under delayed condition rainy season may end by 50th week (11-
16 December). Under normal condition rainy season ends by 46th week (10-16
November).The Gumbel distribution is found suitable for predicting annual water
deficit based on Chi-square test.
Not Available
 
Date 2020-07-16T04:29:46Z
2020-07-16T04:29:46Z
2019-04-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/38143
 
Language English
 
Relation Not Available;
 
Publisher Not Available