Probable maximum precipitation for a coastal site of Tarapur, Maharashtra, India, using intensity–duration–frequency curves

Probable maximum precipitation (PMP) for Tarapur, a coastal industrial area, has been assessed by developing intensity–duration–frequency (IDF) curves using Atomic Energy Regulatory Board recommended probabilistic methods. The analysis identified Fréchet distribution as the best fit according to goo...

Full description

Saved in:
Bibliographic Details
Main Authors: D. Satish Kumar, Manasa Ranjan Behera, Saikrishna Nadella, A. Vinod Kumar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-11-01
Series:Radiation Protection and Environment
Subjects:
Online Access:https://journals.lww.com/10.4103/rpe.rpe_23_24
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841537107835748352
author D. Satish Kumar
Manasa Ranjan Behera
Saikrishna Nadella
A. Vinod Kumar
author_facet D. Satish Kumar
Manasa Ranjan Behera
Saikrishna Nadella
A. Vinod Kumar
author_sort D. Satish Kumar
collection DOAJ
description Probable maximum precipitation (PMP) for Tarapur, a coastal industrial area, has been assessed by developing intensity–duration–frequency (IDF) curves using Atomic Energy Regulatory Board recommended probabilistic methods. The analysis identified Fréchet distribution as the best fit according to goodness of fit tests; however, its heavy-tailed nature led to implausible PMP estimates when compared with similar studies. Consequently, the Gumbel distribution, with parameters estimated using the least squares method, was selected as a more appropriate model for extreme rainfall events. The study also identified the most optimal plotting position formulations (PPFs) for the considered meterorological parameter. The Hazen PPF was identified to be better, for the considered rainfall data and was used to determine the PMP estimates for different storm durations. The distribution parameters were applied to yield the PMP estimates for 100, 1000, and 10000-year return period across all durations. The PMP presented as IDF charts prepared for this site, will be useful for modeling runoff characteristics and determining maximum water levels.
format Article
id doaj-art-e90ccc0756c2464fb579e4a5247776dd
institution Kabale University
issn 0972-0464
2250-0995
language English
publishDate 2024-11-01
publisher Wolters Kluwer Medknow Publications
record_format Article
series Radiation Protection and Environment
spelling doaj-art-e90ccc0756c2464fb579e4a5247776dd2025-01-14T08:56:01ZengWolters Kluwer Medknow PublicationsRadiation Protection and Environment0972-04642250-09952024-11-0147313915110.4103/rpe.rpe_23_24Probable maximum precipitation for a coastal site of Tarapur, Maharashtra, India, using intensity–duration–frequency curvesD. Satish KumarManasa Ranjan BeheraSaikrishna NadellaA. Vinod KumarProbable maximum precipitation (PMP) for Tarapur, a coastal industrial area, has been assessed by developing intensity–duration–frequency (IDF) curves using Atomic Energy Regulatory Board recommended probabilistic methods. The analysis identified Fréchet distribution as the best fit according to goodness of fit tests; however, its heavy-tailed nature led to implausible PMP estimates when compared with similar studies. Consequently, the Gumbel distribution, with parameters estimated using the least squares method, was selected as a more appropriate model for extreme rainfall events. The study also identified the most optimal plotting position formulations (PPFs) for the considered meterorological parameter. The Hazen PPF was identified to be better, for the considered rainfall data and was used to determine the PMP estimates for different storm durations. The distribution parameters were applied to yield the PMP estimates for 100, 1000, and 10000-year return period across all durations. The PMP presented as IDF charts prepared for this site, will be useful for modeling runoff characteristics and determining maximum water levels.https://journals.lww.com/10.4103/rpe.rpe_23_24extreme value analysisintensity–duration–frequency curvesleast squareorder statistics approachprobable maximum precipitation
spellingShingle D. Satish Kumar
Manasa Ranjan Behera
Saikrishna Nadella
A. Vinod Kumar
Probable maximum precipitation for a coastal site of Tarapur, Maharashtra, India, using intensity–duration–frequency curves
Radiation Protection and Environment
extreme value analysis
intensity–duration–frequency curves
least square
order statistics approach
probable maximum precipitation
title Probable maximum precipitation for a coastal site of Tarapur, Maharashtra, India, using intensity–duration–frequency curves
title_full Probable maximum precipitation for a coastal site of Tarapur, Maharashtra, India, using intensity–duration–frequency curves
title_fullStr Probable maximum precipitation for a coastal site of Tarapur, Maharashtra, India, using intensity–duration–frequency curves
title_full_unstemmed Probable maximum precipitation for a coastal site of Tarapur, Maharashtra, India, using intensity–duration–frequency curves
title_short Probable maximum precipitation for a coastal site of Tarapur, Maharashtra, India, using intensity–duration–frequency curves
title_sort probable maximum precipitation for a coastal site of tarapur maharashtra india using intensity duration frequency curves
topic extreme value analysis
intensity–duration–frequency curves
least square
order statistics approach
probable maximum precipitation
url https://journals.lww.com/10.4103/rpe.rpe_23_24
work_keys_str_mv AT dsatishkumar probablemaximumprecipitationforacoastalsiteoftarapurmaharashtraindiausingintensitydurationfrequencycurves
AT manasaranjanbehera probablemaximumprecipitationforacoastalsiteoftarapurmaharashtraindiausingintensitydurationfrequencycurves
AT saikrishnanadella probablemaximumprecipitationforacoastalsiteoftarapurmaharashtraindiausingintensitydurationfrequencycurves
AT avinodkumar probablemaximumprecipitationforacoastalsiteoftarapurmaharashtraindiausingintensitydurationfrequencycurves