On the estimations of long-term percentile levels from discrete hourly data in a high-rise residential environment

Shiu Keung Tang

On the estimations of long-term percentile levels from discrete hourly data in a high-rise residential environment

Shiu Keung Tang

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In the present study, site recordings of noise levels and their time varying patterns are carried in the high-rise residential areas of Hong Kong. The major aim of the study is to check whether it is possible to estimate the 24-hour average noise percentile levels using discrete but continuous hourly noise records. The results tend to suggest the logarithmic averaging works well for levels of small percentage exceeded, while the arithmetic averaging gives significantly better estimation for the large percentage ones. The resulted errors are negligible for the levels of 10% exceeded, but increase as this percentage gradually increases toward 90%.

Original language	English
Title of host publication	Proceedings of the Tenth International Congress on Sound and Vibration
Pages	2751-2756
Number of pages	6
Publication status	Published - 1 Dec 2003
Event	Proceedings of the Tenth International Congress on Sound and Vibration - Stockholm, Sweden Duration: 7 Jul 2003 → 10 Jul 2003

Conference

Conference	Proceedings of the Tenth International Congress on Sound and Vibration
Country/Territory	Sweden
City	Stockholm
Period	7/07/03 → 10/07/03

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "On the estimations of long-term percentile levels from discrete hourly data in a high-rise residential environment",

abstract = "In the present study, site recordings of noise levels and their time varying patterns are carried in the high-rise residential areas of Hong Kong. The major aim of the study is to check whether it is possible to estimate the 24-hour average noise percentile levels using discrete but continuous hourly noise records. The results tend to suggest the logarithmic averaging works well for levels of small percentage exceeded, while the arithmetic averaging gives significantly better estimation for the large percentage ones. The resulted errors are negligible for the levels of 10% exceeded, but increase as this percentage gradually increases toward 90%.",

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year = "2003",

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day = "1",

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On the estimations of long-term percentile levels from discrete hourly data in a high-rise residential environment. / Tang, Shiu Keung.
Proceedings of the Tenth International Congress on Sound and Vibration. 2003. p. 2751-2756.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - In the present study, site recordings of noise levels and their time varying patterns are carried in the high-rise residential areas of Hong Kong. The major aim of the study is to check whether it is possible to estimate the 24-hour average noise percentile levels using discrete but continuous hourly noise records. The results tend to suggest the logarithmic averaging works well for levels of small percentage exceeded, while the arithmetic averaging gives significantly better estimation for the large percentage ones. The resulted errors are negligible for the levels of 10% exceeded, but increase as this percentage gradually increases toward 90%.

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M3 - Conference article published in proceeding or book

SP - 2751

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BT - Proceedings of the Tenth International Congress on Sound and Vibration

T2 - Proceedings of the Tenth International Congress on Sound and Vibration

Y2 - 7 July 2003 through 10 July 2003

ER -

On the estimations of long-term percentile levels from discrete hourly data in a high-rise residential environment

Abstract

Conference

ASJC Scopus subject areas

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