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Numerical Analysis of Water Movement in Agricultural Fields with Heterogeneous Unsaturated Soils Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Determination of Best-Fit Probability Distribution of Rainfall Data in Sikkim, India

Authors : S. Kiran, David Raj Micheal

Published in: Water Security and Sustainability

Publisher: Springer Singapore

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Abstract

Rainfall is an essential input in design of various hydraulic structures, urban planning, disaster management, and agriculture. In this study, an attempt is made to identify the probability distributions that best fits the rainfall data of Sikkim, India. Monthly rainfall data is collected in four rain gauge stations in Sikkim and the best-fit probability distributions of the rainfall data in each station in annual, dry, and wet seasons are identified. Goodness-of-fit tests such as χ2, log-likelihood, Akaike information criterion (AIC), and Bayesian information criterion (BIC) are used to test the fit of probability distributions on the empirical data.

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previous chapter Hydrochemical Analysis of Six Sacred Lakes of Sikkim
next chapter Suitable Locations of Ocean Renewable Energy in Coastal Indian State—Kerala
Literature
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Directorate of Census Operations, Sikkim: District census handbook, series 12, part XII-B, Census of India 2011
2.
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Department of Science & Technology and Climate Change (2014) The Sikkim state action plan on climate change, Government of Sikkim
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Markovic RD (1965) Probability functions of best fit to distributions of annual precipitation and runoff. Hydrology papers (Colorado State University), no 8
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Hosmer Jr DW, Lemeshow S, Sturdivant RX (2013) Applied logistic regression, vol 398. John Wiley & Sons
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Metadata
Title
Determination of Best-Fit Probability Distribution of Rainfall Data in Sikkim, India
Authors
S. Kiran
David Raj Micheal
Copyright Year
2021
Publisher
Springer Singapore
Book
Water Security and Sustainability

Print ISBN: 978-981-15-9804-3

Electronic ISBN: 978-981-15-9805-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-9805-0_7