Cover Image

Flood frequency analysis of annual maximum stream flows for Kuantan River Basin

Precise stream flow forecasting is essential in water management. Effective usage of flow estimates gives considerable assistance to water resources planning. In this study, five common distribution models, namely Generalized Extreme Value (GEV), Generalized Pareto (GP), Log-Pearson 3, Weibull (3P),...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdullah Mukmin, Ahmad, Noor Suraya, Romali, Sumiliana, Sulong
Format: Conference or Workshop Item
Language:English
English
Published: AIP Publishing 2023
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/40870/1/Flood%20frequency%20analysis%20of%20annual%20maximum.pdf
http://umpir.ump.edu.my/id/eprint/40870/2/79.Flood%20Frequency%20Analysis%20of%20Annual%20Maximum%20Stream%20Flows%20for%20Kuantan%20River%20Basin.pdf
http://umpir.ump.edu.my/id/eprint/40870/
https://doi.org/10.1063/5.0111746
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.40870
record_format eprints
spelling my.ump.umpir.408702024-04-03T06:38:28Z http://umpir.ump.edu.my/id/eprint/40870/ Flood frequency analysis of annual maximum stream flows for Kuantan River Basin Abdullah Mukmin, Ahmad Noor Suraya, Romali Sumiliana, Sulong TA Engineering (General). Civil engineering (General) Precise stream flow forecasting is essential in water management. Effective usage of flow estimates gives considerable assistance to water resources planning. In this study, five common distribution models, namely Generalized Extreme Value (GEV), Generalized Pareto (GP), Log-Pearson 3, Weibull (3P), and Log-normal were employed to identify the most appropriate probability distribution and to forecast the streamflows for the Kuantan River Basin. Yearly peak flow data from the Bukit Kenau station from 1977 to 2013 was used in the study. The best-fitted distribution model was evaluated using the Kolmogorov-Smirnov (K-S) goodness-of-fit test (GOF). The results show that Generalized Extreme Value (GEV) is the best-fitted flood distribution model, with a P-value of 0.997, followed by the Generalized Pareto, Log Pearson (3), Weibull, and Log-normal. The estimated peak flow values for 5, 10, 25, 50, 100, 200, 500 and 1000-year ARIs were 1569 m3/s, 1984 m3/s, 2560 m3/s, 3030 m3/s, 3535 m3/s, 4080 m3/s, 4868 m3/s, and 5521 m3/s respectively. The results of the peak flow for different ARIs might benefit future flood models and risk assessments conducted in this area of study. AIP Publishing 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40870/1/Flood%20frequency%20analysis%20of%20annual%20maximum.pdf pdf en http://umpir.ump.edu.my/id/eprint/40870/2/79.Flood%20Frequency%20Analysis%20of%20Annual%20Maximum%20Stream%20Flows%20for%20Kuantan%20River%20Basin.pdf Abdullah Mukmin, Ahmad and Noor Suraya, Romali and Sumiliana, Sulong (2023) Flood frequency analysis of annual maximum stream flows for Kuantan River Basin. In: AIP Conference Proceedings. World Sustainable Construction Conference Series 2021 , 15–16 October 2021 , Kuantan, Pahang, Malaysia. pp. 1-4., 2688 (040002). ISBN 978-0-7354-4483-6 https://doi.org/10.1063/5.0111746
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Abdullah Mukmin, Ahmad
Noor Suraya, Romali
Sumiliana, Sulong
Flood frequency analysis of annual maximum stream flows for Kuantan River Basin
description Precise stream flow forecasting is essential in water management. Effective usage of flow estimates gives considerable assistance to water resources planning. In this study, five common distribution models, namely Generalized Extreme Value (GEV), Generalized Pareto (GP), Log-Pearson 3, Weibull (3P), and Log-normal were employed to identify the most appropriate probability distribution and to forecast the streamflows for the Kuantan River Basin. Yearly peak flow data from the Bukit Kenau station from 1977 to 2013 was used in the study. The best-fitted distribution model was evaluated using the Kolmogorov-Smirnov (K-S) goodness-of-fit test (GOF). The results show that Generalized Extreme Value (GEV) is the best-fitted flood distribution model, with a P-value of 0.997, followed by the Generalized Pareto, Log Pearson (3), Weibull, and Log-normal. The estimated peak flow values for 5, 10, 25, 50, 100, 200, 500 and 1000-year ARIs were 1569 m3/s, 1984 m3/s, 2560 m3/s, 3030 m3/s, 3535 m3/s, 4080 m3/s, 4868 m3/s, and 5521 m3/s respectively. The results of the peak flow for different ARIs might benefit future flood models and risk assessments conducted in this area of study.
format Conference or Workshop Item
author Abdullah Mukmin, Ahmad
Noor Suraya, Romali
Sumiliana, Sulong
author_facet Abdullah Mukmin, Ahmad
Noor Suraya, Romali
Sumiliana, Sulong
author_sort Abdullah Mukmin, Ahmad
title Flood frequency analysis of annual maximum stream flows for Kuantan River Basin
title_short Flood frequency analysis of annual maximum stream flows for Kuantan River Basin
title_full Flood frequency analysis of annual maximum stream flows for Kuantan River Basin
title_fullStr Flood frequency analysis of annual maximum stream flows for Kuantan River Basin
title_full_unstemmed Flood frequency analysis of annual maximum stream flows for Kuantan River Basin
title_sort flood frequency analysis of annual maximum stream flows for kuantan river basin
publisher AIP Publishing
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40870/1/Flood%20frequency%20analysis%20of%20annual%20maximum.pdf
http://umpir.ump.edu.my/id/eprint/40870/2/79.Flood%20Frequency%20Analysis%20of%20Annual%20Maximum%20Stream%20Flows%20for%20Kuantan%20River%20Basin.pdf
http://umpir.ump.edu.my/id/eprint/40870/
https://doi.org/10.1063/5.0111746
_version_ 1822924260438441984
score 13.235318

Similar Items