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Statistical modelling of weekly rainfall data for crop planning in Bundelkhand region of central India

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Title Statistical modelling of weekly rainfall data for crop planning in Bundelkhand region of central India
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Creator N.M. Alam
Rajeev Ranjan
Partha Pratim Adhikary ,
Ambirsh Kumar ,
, C. Jana ,
Sanjeev Panwar
P.K. Mishra
N.K. Sharma
 
Subject Anderson Darling test, Bundelkhand, Crop planning, Maximum likelihood estimation, Probability distribution
 
Description Not Available
The historical rainfall data for the period of 46 years (1968-2013) of Datia
district in Bundelkhand were analysed for selection of most appropriate
probability distribution of rainfall. The best distribution among different data
sets has been identified using probability plot and Anderson-Darling (AD) test
for goodness-of-fit, along with the appropriateness of estimated percentiles.
From the analysis, it was found that one single probability distribution has not
been found appropriate to represent all the datasets though Weibull and Gamma
distributions were found promising for most of the datasets. The best-fit
distribution has been employed for obtaining the assured quantum of rainfall
pertaining to Standard Meteorological Weeks (SMWs) (24-42) at various
probability levels. Minimum assured rainfall at 40-50% probability level was
found to be in close agreement with the long-term average weekly rainfall data.
The minimum assured rainfall of 20 mm and more are expected from SMW27
onwards at 70% probability. This indicated that the sowing of kharif crops has
to be done during the SMW 27 for maximum utilization of rain water.
Not Available
 
Date 2020-05-29T09:20:24Z
2020-05-29T09:20:24Z
2016-02-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/36603
 
Language English
 
Relation Not Available;
 
Publisher Not Available