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Frequency Analysis of Different Time Series Rainfall at Kohima, Nagaland, India

Frequency Analysis of Different Time Series Rainfall at Kohima, Nagaland, India The present study was taken up with the objective of identifying suitable probability distribution function for estimating the rainfall amounts for different return period and probabilities for Kohima station in Nagaland. Five different distribution functions were selected for different data series. The distribution functions considered were normal, log normal, gumbel, log logistic and exponential. The criteria for selecting the distribution functions were coefficient of determination (R2) and Chi square values. The data series considered were annual, maximum weekly (29th calendar week), maximum monthly (July), minimum monthly (December) and monsoon season (June–September). The study revealed that log logistic distribution function was fitted well for annual, July month and monsoon season data series where as exponential data series fitted well for maximum weekly and December data series. Based on the identified frequency distribution function rainfall amounts for different return periods and probabilities were estimated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of The Institution of Engineers (India): Series A Springer Journals

Frequency Analysis of Different Time Series Rainfall at Kohima, Nagaland, India

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Publisher
Springer Journals
Copyright
Copyright © 2012 by The Institution of Engineers (India)
Subject
Engineering; Civil Engineering
ISSN
2250-2149
eISSN
2250-2157
DOI
10.1007/s40030-012-0017-4
Publisher site
See Article on Publisher Site

Abstract

The present study was taken up with the objective of identifying suitable probability distribution function for estimating the rainfall amounts for different return period and probabilities for Kohima station in Nagaland. Five different distribution functions were selected for different data series. The distribution functions considered were normal, log normal, gumbel, log logistic and exponential. The criteria for selecting the distribution functions were coefficient of determination (R2) and Chi square values. The data series considered were annual, maximum weekly (29th calendar week), maximum monthly (July), minimum monthly (December) and monsoon season (June–September). The study revealed that log logistic distribution function was fitted well for annual, July month and monsoon season data series where as exponential data series fitted well for maximum weekly and December data series. Based on the identified frequency distribution function rainfall amounts for different return periods and probabilities were estimated.

Journal

Journal of The Institution of Engineers (India): Series ASpringer Journals

Published: Nov 7, 2012

References