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2021 | OriginalPaper | Chapter

Identification of the Best-Fit Probability Distribution and Modeling Short-Duration Intensity-Duration-Frequency Curves—Mangalore

Authors : C. Varghese Femin, K. Varija

Published in: Trends in Civil Engineering and Challenges for Sustainability

Publisher: Springer Singapore

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Abstract

The study of frequency analysis is crucial to find the most fitting model that could predict extreme events of certain natural phenomena, e.g., rainfall, flood. The study aims to determine the best-fit probability distribution model for maximum daily rainfall of four stations in Mangalore city. Statistical analysis such as log-normal, log-Pearson, and generalized extreme value (GEV) was applied, and parameters of these distributions were estimated. The predicted values using these distributions subjected to the goodness of fit test using the Kolmogorov–Smirnov test, Anderson–Darling test, and Chi-squared test. Generalized extreme value distribution gave the best-fit model and thus, used for deriving the intensity duration frequency (IDF) curves for Mangalore city. IDF curves using empirical equation and GEV distribution were compared, and GEV distribution IDF curves give higher rainfall intensities.

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previous chapter A Statistical Approach for Comparison of Secondary Precipitation Products
next chapter Monitoring Land Use and Land Cover Changes in Coastal Karnataka
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Metadata
Title
Identification of the Best-Fit Probability Distribution and Modeling Short-Duration Intensity-Duration-Frequency Curves—Mangalore
Authors
C. Varghese Femin
K. Varija
Copyright Year
2021
Publisher
Springer Singapore
Book
Trends in Civil Engineering and Challenges for Sustainability

Print ISBN: 978-981-15-6827-5

Electronic ISBN: 978-981-15-6828-2

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-6828-2_56