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Assessment of the correlation between particulate matters and weather parameters in Malaysia.

Kuala Lumpur and Malacca are the hub of poor air quality in Malaysia. This study was carried out to determine the concentration and trend in the pattern of air pollution in Kuala Lumpur and Malacca. Data comprising of PM10 and weather elements such as temperature, wind speed, and rainfall were sourc...

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Main Authors: Che Ros, Faizah, Halil, Siti Nurfatiha, Wesam Al Madhoun, Wesam Al Madhoun
Format: Conference or Workshop Item
Published: 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/108804/
http://dx.doi.org/10.1007/978-981-99-6022-4_20
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spelling my.utm.1088042024-12-09T07:24:05Z http://eprints.utm.my/108804/ Assessment of the correlation between particulate matters and weather parameters in Malaysia. Che Ros, Faizah Halil, Siti Nurfatiha Wesam Al Madhoun, Wesam Al Madhoun TA Engineering (General). Civil engineering (General) Kuala Lumpur and Malacca are the hub of poor air quality in Malaysia. This study was carried out to determine the concentration and trend in the pattern of air pollution in Kuala Lumpur and Malacca. Data comprising of PM10 and weather elements such as temperature, wind speed, and rainfall were source from the department of environment Malaysia from 2014 to 2020. Trend analysis was performed to analyse the data, and the correlation between PM10 and weather parameters was plotted. The result shows the significant relationship between the weather condition and the pattern of air pollution in Kula Lumpur and Malacca. 2022 Conference or Workshop Item PeerReviewed Che Ros, Faizah and Halil, Siti Nurfatiha and Wesam Al Madhoun, Wesam Al Madhoun (2022) Assessment of the correlation between particulate matters and weather parameters in Malaysia. In: AWAM International Conference on Civil Engineering, AICCE 2022, 15 February 2022 - 17 February 2022, Penang, Malaysia. http://dx.doi.org/10.1007/978-981-99-6022-4_20
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Che Ros, Faizah
Halil, Siti Nurfatiha
Wesam Al Madhoun, Wesam Al Madhoun
Assessment of the correlation between particulate matters and weather parameters in Malaysia.
description Kuala Lumpur and Malacca are the hub of poor air quality in Malaysia. This study was carried out to determine the concentration and trend in the pattern of air pollution in Kuala Lumpur and Malacca. Data comprising of PM10 and weather elements such as temperature, wind speed, and rainfall were source from the department of environment Malaysia from 2014 to 2020. Trend analysis was performed to analyse the data, and the correlation between PM10 and weather parameters was plotted. The result shows the significant relationship between the weather condition and the pattern of air pollution in Kula Lumpur and Malacca.
format Conference or Workshop Item
author Che Ros, Faizah
Halil, Siti Nurfatiha
Wesam Al Madhoun, Wesam Al Madhoun
author_facet Che Ros, Faizah
Halil, Siti Nurfatiha
Wesam Al Madhoun, Wesam Al Madhoun
author_sort Che Ros, Faizah
title Assessment of the correlation between particulate matters and weather parameters in Malaysia.
title_short Assessment of the correlation between particulate matters and weather parameters in Malaysia.
title_full Assessment of the correlation between particulate matters and weather parameters in Malaysia.
title_fullStr Assessment of the correlation between particulate matters and weather parameters in Malaysia.
title_full_unstemmed Assessment of the correlation between particulate matters and weather parameters in Malaysia.
title_sort assessment of the correlation between particulate matters and weather parameters in malaysia.
publishDate 2022
url http://eprints.utm.my/108804/
http://dx.doi.org/10.1007/978-981-99-6022-4_20
_version_ 1818834051415408640
score 13.223943

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