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Review and Derivation of Areal Reduction Factor in Malaysia with Response to Changing Climate

Climate change; Spatial variables measurement; Storms; Areal reduction factors; Design applications; Rainfall characteristics; Rainfall patterns; Spatial autocorrelations; Time-series data; Tracking method; Trend tests; Rain

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Bibliographic Details
Main Authors: Kok K., Yu W., Sidek L.M., Jung K.
Other Authors: 55812179300
Format: Article
Published: Springer Verlag 2023
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id my.uniten.dspace-23631
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spelling my.uniten.dspace-236312023-05-29T14:50:37Z Review and Derivation of Areal Reduction Factor in Malaysia with Response to Changing Climate Kok K. Yu W. Sidek L.M. Jung K. 55812179300 55470188500 35070506500 37015343400 Climate change; Spatial variables measurement; Storms; Areal reduction factors; Design applications; Rainfall characteristics; Rainfall patterns; Spatial autocorrelations; Time-series data; Tracking method; Trend tests; Rain This study presents the reviews and derivations of ARF for storm design applications in Malaysia. Considering that present rainfall characteristics may change due to climate change, rainfall time series data of the selected rainfall interval of nine rainfall stations in Kuala Lumpur were examined by several homogeneity tests and trend test to determine the existence of trends. Average-Point rainfall tracking method was adopted to compute the Maximum Areal Average Rainfall (MAAR). Increasing trends were observed both in the point rainfalls and areal rainfalls especially for short rainfall interval which cause increment of ARF derived in this study. However, the increasing trend diminished as the rainfall interval increased. The increment also implies that ARF is a non-stationary factor. Thus the ARF derived several decades ago is not appropriate for present storm design applications. Spatial autocorrelation results indicated that the study area is characterized with localized rainfall pattern with threshold radius of about 11km which corresponding to circular area of 400 km2. The reviewed ARF complies with the localized rainfall pattern and comparison revealed that ARF is not a universal factor. In conclusion, the ARF estimations has been improved for storm design applications of local concerns with response to changing climate. � 2018, Korean Society of Civil Engineers. Final 2023-05-29T06:50:37Z 2023-05-29T06:50:37Z 2018 Article 10.1007/s12205-018-1316-8 2-s2.0-85048757388 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048757388&doi=10.1007%2fs12205-018-1316-8&partnerID=40&md5=bb3c32824fb739e532c7509f24cb4c49 https://irepository.uniten.edu.my/handle/123456789/23631 22 11 4681 4698 Springer Verlag Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Climate change; Spatial variables measurement; Storms; Areal reduction factors; Design applications; Rainfall characteristics; Rainfall patterns; Spatial autocorrelations; Time-series data; Tracking method; Trend tests; Rain
author2 55812179300
author_facet 55812179300
Kok K.
Yu W.
Sidek L.M.
Jung K.
format Article
author Kok K.
Yu W.
Sidek L.M.
Jung K.
spellingShingle Kok K.
Yu W.
Sidek L.M.
Jung K.
Review and Derivation of Areal Reduction Factor in Malaysia with Response to Changing Climate
author_sort Kok K.
title Review and Derivation of Areal Reduction Factor in Malaysia with Response to Changing Climate
title_short Review and Derivation of Areal Reduction Factor in Malaysia with Response to Changing Climate
title_full Review and Derivation of Areal Reduction Factor in Malaysia with Response to Changing Climate
title_fullStr Review and Derivation of Areal Reduction Factor in Malaysia with Response to Changing Climate
title_full_unstemmed Review and Derivation of Areal Reduction Factor in Malaysia with Response to Changing Climate
title_sort review and derivation of areal reduction factor in malaysia with response to changing climate
publisher Springer Verlag
publishDate 2023
_version_ 1806424580478205952
score 13.211869

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