The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia

Rainfall intensity is the main input variable in various hydrological analysis and modeling. Unfortunately, the quality of rainfall data is often poor and reliable data records are available at coarse intervals such as yearly, monthly and daily. Short interval rainfall records are scarce because of...

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Main Authors:	Harisaweni, Zulkifli Yusop, Fadhilah Yusof
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2016
Online Access:	http://journalarticle.ukm.my/9573/ http://journalarticle.ukm.my/9573/ http://journalarticle.ukm.my/9573/1/11_Harisa_Weni.pdf

id	ukm-9573
recordtype	eprints
spelling	ukm-95732016-12-14T06:50:20Z http://journalarticle.ukm.my/9573/ The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia Harisaweni, Zulkifli Yusop, Fadhilah Yusof, Rainfall intensity is the main input variable in various hydrological analysis and modeling. Unfortunately, the quality of rainfall data is often poor and reliable data records are available at coarse intervals such as yearly, monthly and daily. Short interval rainfall records are scarce because of high cost and low reliability of the measurement and the monitoring systems. One way to solve this problem is by disaggregating the coarse intervals to generate the short one using the stochastic method. This paper describes the use of the Bartlett Lewis Rectangular Pulse (BLRP) model. The method was used to disaggregate 10 years of daily data for generating hourly data from 5 rainfall stations in Kelantan as representative area affected by monsoon period and 5 rainfall stations in Damansara affected by inter-monsoon period. The models were evaluated on their ability to reproduce standard and extreme rainfall model statistics derived from the historical record over disaggregation simulation results. The disaggregation of daily to hourly rainfall produced monthly and daily means and variances that closely match the historical records. However, for the disaggregation of daily to hourly rainfall, the standard deviation values are lower than the historical ones. Despite the marked differences in the standard deviation, both data series exhibit similar patterns and the model adequately preserve the trends of all the properties used in evaluating its performances. Universiti Kebangsaan Malaysia 2016-01 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/9573/1/11_Harisa_Weni.pdf Harisaweni, and Zulkifli Yusop, and Fadhilah Yusof, (2016) The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia. Sains Malaysiana, 45 (1). pp. 87-97. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid45bil1_2016/KandunganJilid45Bil1_2016.htm
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Rainfall intensity is the main input variable in various hydrological analysis and modeling. Unfortunately, the quality of rainfall data is often poor and reliable data records are available at coarse intervals such as yearly, monthly and daily. Short interval rainfall records are scarce because of high cost and low reliability of the measurement and the monitoring systems. One way to solve this problem is by disaggregating the coarse intervals to generate the short one using the stochastic method. This paper describes the use of the Bartlett Lewis Rectangular Pulse (BLRP) model. The method was used to disaggregate 10 years of daily data for generating hourly data from 5 rainfall stations in Kelantan as representative area affected by monsoon period and 5 rainfall stations in Damansara affected by inter-monsoon period. The models were evaluated on their ability to reproduce standard and extreme rainfall model statistics derived from the historical record over disaggregation simulation results. The disaggregation of daily to hourly rainfall produced monthly and daily means and variances that closely match the historical records. However, for the disaggregation of daily to hourly rainfall, the standard deviation values are lower than the historical ones. Despite the marked differences in the standard deviation, both data series exhibit similar patterns and the model adequately preserve the trends of all the properties used in evaluating its performances.
format	Article
author	Harisaweni, Zulkifli Yusop, Fadhilah Yusof,
spellingShingle	Harisaweni, Zulkifli Yusop, Fadhilah Yusof, The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia
author_facet	Harisaweni, Zulkifli Yusop, Fadhilah Yusof,
author_sort	Harisaweni,
title	The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia
title_short	The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia
title_full	The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia
title_fullStr	The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia
title_full_unstemmed	The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia
title_sort	use of blrp model for disaggregating daily rainfall affected by monsoon in peninsular malaysia
publisher	Universiti Kebangsaan Malaysia
publishDate	2016
url	http://journalarticle.ukm.my/9573/ http://journalarticle.ukm.my/9573/ http://journalarticle.ukm.my/9573/1/11_Harisa_Weni.pdf
first_indexed	2023-09-18T19:55:16Z
last_indexed	2023-09-18T19:55:16Z
_version_	1777406487106158592

The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia

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