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Comparison of Corrosion Hazard Map in 10 Years Duration Using Air Pollution and Climate Data

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dc.contributor.authorIzhar A.S.M.en_US
dc.contributor.authorKhalid N.H.N.en_US
dc.contributor.authorUsman F.en_US
dc.contributor.authorAdriyanshah N.F.en_US
dc.contributor.authorid57486383700en_US
dc.contributor.authorid55812452000en_US
dc.contributor.authorid55812540000en_US
dc.contributor.authorid57485347800en_US
dc.date.accessioned2023-05-29T09:41:26Z
dc.date.available2023-05-29T09:41:26Z
dc.date.issued2022
dc.descriptionAir pollution; Atmospheric humidity; Decision making; Economics; Geographic information systems; Hazards; Inverse problems; Steel corrosion; Climate data; Common metals; Condition; Corrosion hazard map; Corrosion levels; Hazard map; High humidity; Malaysia; Time of wetness; Tropical climates; Atmospheric corrosionen_US
dc.description.abstractAtmospheric corrosion is a severe challenge for most common metals due to its effect on the service life and strength of structural materials, especially steel structures. In a tropical climate country such as Malaysia, high humidity, temperature, and rainfall precipitation contribute to the high time of wetness in the atmosphere. The wetness condition and air pollution will accelerate corrosion formation. Rapid economic growth and development of industrial areas have significantly increased the number of corrosion agents immerse in the atmosphere. Since corrosion is influenced by the atmosphere, the changes in corrosion level would be identified by comparing the corrosion hazard map for 10�years duration. The climate and air pollution data were analyzed using the inverse distance weighting (IDW) method to form a Corrosion Hazard Map of Peninsular Malaysia. Observation on the maps discovered that throughout the 10�years, southern and west coast areas have the highest corrosion level, while the lowest corrosion level occurred around the center part of Peninsular Malaysia. Information on the corrosion level will benefit highly dynamic industries in planning and decision-making, indirectly reducing losses. � 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-16-8667-2_25
dc.identifier.epage242
dc.identifier.scopus2-s2.0-85126227513
dc.identifier.spage235
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126227513&doi=10.1007%2f978-981-16-8667-2_25&partnerID=40&md5=36b8940356ee9a5c8475e3cd247ab719
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27240
dc.identifier.volume223
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Civil Engineering
dc.titleComparison of Corrosion Hazard Map in 10 Years Duration Using Air Pollution and Climate Dataen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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