Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia

Data on intensity–duration–frequency or design rainfall are one of the most important information required for various hydrological and water resources studies. However, such crucial data are often unavailable in various parts of the world due to lack of enough rain gauging stations. It is not onl...

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Main Authors: Al Mamun, Abdullah, Salleh, Md. Noor, Mohamad Noor, Hanapi
Format: Article
Language:English
English
Published: Springer International Publishing 2018
Subjects:
Online Access:http://irep.iium.edu.my/70335/
http://irep.iium.edu.my/70335/
http://irep.iium.edu.my/70335/
http://irep.iium.edu.my/70335/1/70335%20Estimation%20of%20short%E2%80%91duration%20rainfall%20intensity.pdf
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spelling iium-703352019-01-30T03:31:33Z http://irep.iium.edu.my/70335/ Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia Al Mamun, Abdullah Salleh, Md. Noor Mohamad Noor, Hanapi Q Science (General) Data on intensity–duration–frequency or design rainfall are one of the most important information required for various hydrological and water resources studies. However, such crucial data are often unavailable in various parts of the world due to lack of enough rain gauging stations. It is not only tedious to determine design rainfall from the raw data but also occasionally impossible to calculate due to lack or absence of short-duration rainfall data. Generally, the manual rain gauges outnumber the automatic gauges, making it difcult to have adequate data on short-duration rainfall values, which is very important for urban hydrology. However, no graphical or mathematical relation could be found in the literature, which can be used for quick estimation of short-duration design rainfall from the daily rainfall data recorded by the manual stations. Annual maximum rainfall data from 143 rain gauging stations located at Klang Valley in Malaysia were used in this study. Statistical analyses and logarithmic graph ftting techniques were used to develop excellent correlation between short-duration rainfall and daily rainfall values for 96 automatic and 46 manual stations. Rainfall data analyze the design rainfall data of various duration and return periods. The 15, 30 and 45 min of short-duration rainfall, which is the most common rainfall duration in the study area, was observed to be 32.4%, 47.1% and 57.4% of the daily rainfall amount, respectively. The amount of rainfall during 1-, 2- and 3-h storm events contribute 64.9%, 76.5% and 80.9% of the daily rainfall. Such relations can be used for quick estimation of short-duration rainfall resulting in saving time, money and other resources Springer International Publishing 2018-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/70335/1/70335%20Estimation%20of%20short%E2%80%91duration%20rainfall%20intensity.pdf application/pdf en http://irep.iium.edu.my/70335/2/70335%20Estimation%20of%20short%E2%80%91duration%20rainfall%20intensity%20WOS.pdf Al Mamun, Abdullah and Salleh, Md. Noor and Mohamad Noor, Hanapi (2018) Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia. Applied Water Science, 8 (7). pp. 1-10. ISSN 2190-5487 E-ISSN 2190-5495 https://link.springer.com/content/pdf/10.1007%2Fs13201-018-0854-z.pdf 10.1007/s13201-018-0854-z
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic Q Science (General)
spellingShingle Q Science (General)
Al Mamun, Abdullah
Salleh, Md. Noor
Mohamad Noor, Hanapi
Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia
description Data on intensity–duration–frequency or design rainfall are one of the most important information required for various hydrological and water resources studies. However, such crucial data are often unavailable in various parts of the world due to lack of enough rain gauging stations. It is not only tedious to determine design rainfall from the raw data but also occasionally impossible to calculate due to lack or absence of short-duration rainfall data. Generally, the manual rain gauges outnumber the automatic gauges, making it difcult to have adequate data on short-duration rainfall values, which is very important for urban hydrology. However, no graphical or mathematical relation could be found in the literature, which can be used for quick estimation of short-duration design rainfall from the daily rainfall data recorded by the manual stations. Annual maximum rainfall data from 143 rain gauging stations located at Klang Valley in Malaysia were used in this study. Statistical analyses and logarithmic graph ftting techniques were used to develop excellent correlation between short-duration rainfall and daily rainfall values for 96 automatic and 46 manual stations. Rainfall data analyze the design rainfall data of various duration and return periods. The 15, 30 and 45 min of short-duration rainfall, which is the most common rainfall duration in the study area, was observed to be 32.4%, 47.1% and 57.4% of the daily rainfall amount, respectively. The amount of rainfall during 1-, 2- and 3-h storm events contribute 64.9%, 76.5% and 80.9% of the daily rainfall. Such relations can be used for quick estimation of short-duration rainfall resulting in saving time, money and other resources
format Article
author Al Mamun, Abdullah
Salleh, Md. Noor
Mohamad Noor, Hanapi
author_facet Al Mamun, Abdullah
Salleh, Md. Noor
Mohamad Noor, Hanapi
author_sort Al Mamun, Abdullah
title Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia
title_short Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia
title_full Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia
title_fullStr Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia
title_full_unstemmed Estimation of short‑duration rainfall intensity from daily rainfall values in Klang Valley, Malaysia
title_sort estimation of short‑duration rainfall intensity from daily rainfall values in klang valley, malaysia
publisher Springer International Publishing
publishDate 2018
url http://irep.iium.edu.my/70335/
http://irep.iium.edu.my/70335/
http://irep.iium.edu.my/70335/
http://irep.iium.edu.my/70335/1/70335%20Estimation%20of%20short%E2%80%91duration%20rainfall%20intensity.pdf
http://irep.iium.edu.my/70335/2/70335%20Estimation%20of%20short%E2%80%91duration%20rainfall%20intensity%20WOS.pdf
first_indexed 2023-09-18T21:39:52Z
last_indexed 2023-09-18T21:39:52Z
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