Relationship between short duration and daily rainfall data in Kuala Lumpur

Short duration rainfall is important for proper stormwater management in the existing and future urban areas and also for water resources study in small catchments. Unfortunately, many of the stations available in Malaysia are manual in nature and are able to provide daily rainfall data only. Despit...

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Main Authors:	Salleh, Md. Noor, Al-Mamun, Abdullah, Mohamed Desa, Mohamed Nor, Mohamad Noor, Hanapi
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TE Highway engineering. Roads and pavements
Online Access:	http://irep.iium.edu.my/29983/ http://irep.iium.edu.my/29983/1/UPSI_Paper_Final.pdf

id	iium-29983
recordtype	eprints
spelling	iium-299832013-07-16T04:17:28Z http://irep.iium.edu.my/29983/ Relationship between short duration and daily rainfall data in Kuala Lumpur Salleh, Md. Noor Al-Mamun, Abdullah Mohamed Desa, Mohamed Nor Mohamad Noor, Hanapi TE Highway engineering. Roads and pavements Short duration rainfall is important for proper stormwater management in the existing and future urban areas and also for water resources study in small catchments. Unfortunately, many of the stations available in Malaysia are manual in nature and are able to provide daily rainfall data only. Despite the presence of numerous numbers of stations in Malaysia, the unavailability of rainfall data for the durations shorter than 24 hours is a hindrance in hydrologic and hydraulic analysis for small scale water resources projects. Therefore, an attempt was taken to study the correlation between daily rainfall and short duration rainfall less than 24 hours. The objective was to develop relations between daily rainfall and rainfall for any duration less than 24 hours. The study was conducted for selected seven (7) automatic rainfall stations in Kuala Lumpur, which were selected based on the length and quality of data available. Rainfall data of eleven different durations (15, 30, 45-min, 1, 2, 3, 6, 9, 12, 18 and 24-hr) were analysed to study the relationship with the daily rainfall data of each station. The median annual maximum 1-day rainfall value of the seven stations is 105 mm; whereas, the 90 and 10 percentile values are 125 and 73 mm, respectively. Analyses of the mean annual rainfall values of the selected durations revealed good pattern which can be used to estimate short duration rainfall based on the mean annual daily rainfall data. It was observed that the mean annual maximum rainfall data of 0.5, 1, 3, 6 and 12-hour durations are 45, 61, 76, 83 and 88% of the mean annual daily maximum rainfall in Kuala Lumpur area. 2013-03-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/29983/1/UPSI_Paper_Final.pdf Salleh, Md. Noor and Al-Mamun, Abdullah and Mohamed Desa, Mohamed Nor and Mohamad Noor, Hanapi (2013) Relationship between short duration and daily rainfall data in Kuala Lumpur. In: Persidangan Kebangsaan Geografi & Alam Sekitar kali ke 4, 5 - 6 March 2013, Tanjung Malim, Perak.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TE Highway engineering. Roads and pavements
spellingShingle	TE Highway engineering. Roads and pavements Salleh, Md. Noor Al-Mamun, Abdullah Mohamed Desa, Mohamed Nor Mohamad Noor, Hanapi Relationship between short duration and daily rainfall data in Kuala Lumpur
description	Short duration rainfall is important for proper stormwater management in the existing and future urban areas and also for water resources study in small catchments. Unfortunately, many of the stations available in Malaysia are manual in nature and are able to provide daily rainfall data only. Despite the presence of numerous numbers of stations in Malaysia, the unavailability of rainfall data for the durations shorter than 24 hours is a hindrance in hydrologic and hydraulic analysis for small scale water resources projects. Therefore, an attempt was taken to study the correlation between daily rainfall and short duration rainfall less than 24 hours. The objective was to develop relations between daily rainfall and rainfall for any duration less than 24 hours. The study was conducted for selected seven (7) automatic rainfall stations in Kuala Lumpur, which were selected based on the length and quality of data available. Rainfall data of eleven different durations (15, 30, 45-min, 1, 2, 3, 6, 9, 12, 18 and 24-hr) were analysed to study the relationship with the daily rainfall data of each station. The median annual maximum 1-day rainfall value of the seven stations is 105 mm; whereas, the 90 and 10 percentile values are 125 and 73 mm, respectively. Analyses of the mean annual rainfall values of the selected durations revealed good pattern which can be used to estimate short duration rainfall based on the mean annual daily rainfall data. It was observed that the mean annual maximum rainfall data of 0.5, 1, 3, 6 and 12-hour durations are 45, 61, 76, 83 and 88% of the mean annual daily maximum rainfall in Kuala Lumpur area.
format	Conference or Workshop Item
author	Salleh, Md. Noor Al-Mamun, Abdullah Mohamed Desa, Mohamed Nor Mohamad Noor, Hanapi
author_facet	Salleh, Md. Noor Al-Mamun, Abdullah Mohamed Desa, Mohamed Nor Mohamad Noor, Hanapi
author_sort	Salleh, Md. Noor
title	Relationship between short duration and daily rainfall data in Kuala Lumpur
title_short	Relationship between short duration and daily rainfall data in Kuala Lumpur
title_full	Relationship between short duration and daily rainfall data in Kuala Lumpur
title_fullStr	Relationship between short duration and daily rainfall data in Kuala Lumpur
title_full_unstemmed	Relationship between short duration and daily rainfall data in Kuala Lumpur
title_sort	relationship between short duration and daily rainfall data in kuala lumpur
publishDate	2013
url	http://irep.iium.edu.my/29983/ http://irep.iium.edu.my/29983/1/UPSI_Paper_Final.pdf
first_indexed	2023-09-18T20:44:01Z
last_indexed	2023-09-18T20:44:01Z
_version_	1777409553919377408

Relationship between short duration and daily rainfall data in Kuala Lumpur

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