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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Universiti Kebangsaan Malaysia
2016
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| Online Access: | http://journalarticle.ukm.my/9573/1/11_Harisa_Weni.pdf http://journalarticle.ukm.my/9573/ http://www.ukm.my/jsm/malay_journals/jilid45bil1_2016/KandunganJilid45Bil1_2016.htm |
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| author | Harisaweni, Zulkifli Yusop, Fadhilah Yusof, |
| author_facet | Harisaweni, Zulkifli Yusop, Fadhilah Yusof, |
| author_sort | Harisaweni, |
| building | Tun Sri Lanang Library |
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| content_provider | Universiti Kebangsaan Malaysia |
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| continent | Asia |
| country | Malaysia |
| 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 |
| id | my-ukm.journal-9573 |
| institution | Universiti Kebangsaan Malaysia |
| language | en |
| publishDate | 2016 |
| publisher | Universiti Kebangsaan Malaysia |
| record_format | eprints |
| spelling | my-ukm.journal-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 |
| spellingShingle | Harisaweni, Zulkifli Yusop, Fadhilah Yusof, The use of BLRP model for disaggregating daily rainfall affected by monsoon in Peninsular Malaysia |
| title | 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_short | 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 |
| url | http://journalarticle.ukm.my/9573/1/11_Harisa_Weni.pdf http://journalarticle.ukm.my/9573/ http://www.ukm.my/jsm/malay_journals/jilid45bil1_2016/KandunganJilid45Bil1_2016.htm |
| url_provider | http://journalarticle.ukm.my/ |