Development of analytical probabilistic model parameters for urban stormwater management

Analytical probabilistic models (APM) are closed form mathematical expressions for long term system’s output performance derived from the probability distribution of the system’s input variables. In order to apply the APM for urban stormwater control systems’ design, APM parameters have to be made k...

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Main Authors:	Salisu Dan’Azumi, Supiah Shamsudin, Azmi Aris
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2013
Online Access:	http://journalarticle.ukm.my/5975/ http://journalarticle.ukm.my/5975/ http://journalarticle.ukm.my/5975/1/08%2520Salisu%2520Dan.pdf

id	ukm-5975
recordtype	eprints
spelling	ukm-59752016-12-14T06:40:00Z http://journalarticle.ukm.my/5975/ Development of analytical probabilistic model parameters for urban stormwater management Salisu Dan’Azumi, Supiah Shamsudin, Azmi Aris, Analytical probabilistic models (APM) are closed form mathematical expressions for long term system’s output performance derived from the probability distribution of the system’s input variables. In order to apply the APM for urban stormwater control systems’ design, APM parameters have to be made known. These input parameters include APM parameters which are derived from the meteorological rainfall characteristics; storm depth, duration, intensity and inter-event time. This study is aimed to develop meteorological APM parameters that can be used for detention pond design in Peninsular Malaysia. Hourly rainfall data covering 10 to 40 years period were analyzed from 13 different locations spread across the Peninsular. The data were analyzed to obtain the APM parameters at different values of minimum storm separation time (MSST). The APM parameter of rainfall duration (λ) was found to range from a mean value of 0.260 h-1 for 2 h MSST to 0.04 h-1 for 24 h MSST. The APM parameter of rainfall volume (ζ) ranges from a mean value of 0.091 mm-1 for 2 h MSST to 0.038 mm-1 for 24 h MSST. Similarly, the APM parameter of rainfall intensity (β) ranges from a mean value of 0.355 h/mm for 2 h MSST to 0.504 h/mm for 24 h MSST. Finally, the APM parameter of inter-event time (ψ) ranges from a mean value of 0.025 h-1 for 2 h MSST to 0.012 h-1 for 24 h MSST. Once the APM parameters are determined for a particular area, the long term stormwater control systems’ performance can easily be determined. Universiti Kebangsaan Malaysia 2013-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/5975/1/08%2520Salisu%2520Dan.pdf Salisu Dan’Azumi, and Supiah Shamsudin, and Azmi Aris, (2013) Development of analytical probabilistic model parameters for urban stormwater management. Sains Malaysiana, 42 (3). pp. 325-332. ISSN 0126-6039 http://www.ukm.my/jsm/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Analytical probabilistic models (APM) are closed form mathematical expressions for long term system’s output performance derived from the probability distribution of the system’s input variables. In order to apply the APM for urban stormwater control systems’ design, APM parameters have to be made known. These input parameters include APM parameters which are derived from the meteorological rainfall characteristics; storm depth, duration, intensity and inter-event time. This study is aimed to develop meteorological APM parameters that can be used for detention pond design in Peninsular Malaysia. Hourly rainfall data covering 10 to 40 years period were analyzed from 13 different locations spread across the Peninsular. The data were analyzed to obtain the APM parameters at different values of minimum storm separation time (MSST). The APM parameter of rainfall duration (λ) was found to range from a mean value of 0.260 h-1 for 2 h MSST to 0.04 h-1 for 24 h MSST. The APM parameter of rainfall volume (ζ) ranges from a mean value of 0.091 mm-1 for 2 h MSST to 0.038 mm-1 for 24 h MSST. Similarly, the APM parameter of rainfall intensity (β) ranges from a mean value of 0.355 h/mm for 2 h MSST to 0.504 h/mm for 24 h MSST. Finally, the APM parameter of inter-event time (ψ) ranges from a mean value of 0.025 h-1 for 2 h MSST to 0.012 h-1 for 24 h MSST. Once the APM parameters are determined for a particular area, the long term stormwater control systems’ performance can easily be determined.
format	Article
author	Salisu Dan’Azumi, Supiah Shamsudin, Azmi Aris,
spellingShingle	Salisu Dan’Azumi, Supiah Shamsudin, Azmi Aris, Development of analytical probabilistic model parameters for urban stormwater management
author_facet	Salisu Dan’Azumi, Supiah Shamsudin, Azmi Aris,
author_sort	Salisu Dan’Azumi,
title	Development of analytical probabilistic model parameters for urban stormwater management
title_short	Development of analytical probabilistic model parameters for urban stormwater management
title_full	Development of analytical probabilistic model parameters for urban stormwater management
title_fullStr	Development of analytical probabilistic model parameters for urban stormwater management
title_full_unstemmed	Development of analytical probabilistic model parameters for urban stormwater management
title_sort	development of analytical probabilistic model parameters for urban stormwater management
publisher	Universiti Kebangsaan Malaysia
publishDate	2013
url	http://journalarticle.ukm.my/5975/ http://journalarticle.ukm.my/5975/ http://journalarticle.ukm.my/5975/1/08%2520Salisu%2520Dan.pdf
first_indexed	2023-09-18T19:45:39Z
last_indexed	2023-09-18T19:45:39Z
_version_	1777405882172178432

Development of analytical probabilistic model parameters for urban stormwater management

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