Trend analysis of extreme ground-level ozone (GLO) concentration is one of the common thoughts to ensure the continuous improvement in ozone performing. This paper aims to identify the GLO concentration trends at 25 air monitoring stations in Peninsular Malaysia for understanding the pattern occur in all GLO data. The trend analysis has been examined by method of non-stationarity test and trend test. The objective of this analysis is to classify the nonstationarity and trend behaviour occur in the GLO data concentration and to examine the performance. Results from the ADF (Augmented Dickey-Fuller) test reveals that stationarity exist in all stations whereas the Kwiatkowski–Phillips–Schmidt–Shin (KPSS) test shows only 8 stations have a stationarity. Next, for the trend test using Mann-Kendall. In a test of maximum ground-level ozone concentration increasing after displaying positive Kendall Z-values for 12 stations, 9 stations were found to be dropping after having a negative Kendall Z-value, and the remaining station showed no trend. This trend analysis can be used for monitoring of the performance of level in ground-level ozone concentration and can be used as an idea to statistician to continue the analysis in order to further investigation about ground-level ozone performance.
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24 June 2022
1ST JOINT INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS AND ENGINEERING (J-CoMSE 2021): J-COMSE 2021 CONFERENCE PROCEEDING
12–13 July 2021
Penang, Malaysia
Research Article|
June 24 2022
Trend analysis of the extreme ground-level ozone concentration for 25 air monitoring station in Peninsular Malaysia
Siti Aisyah Zakaria;
Siti Aisyah Zakaria
a)
1
Institute of Engineering Mathematics, Faculty of Applied and Human Science, Universiti Malaysia Perlis
, Kampus Pauh Putra, 02600 Arau, Perlis, Malaysia
a)Corresponding author: [email protected]
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Nor Azrita Mohd Amin;
Nor Azrita Mohd Amin
b)
2
Institute of Engineering Mathematics, Faculty of Applied and Human Science, Universiti Malaysia Perlis
, Kampus Pauh Putra, 02600 Arau, Perlis, Malaysia
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Nur Amalina Mat Jan;
Nur Amalina Mat Jan
c)
3
Department of Mathematical Science, Faculty of Science, Universiti Teknologi Malaysia
, 81310 Skudai, Johor, Malaysia
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Noor Fadhilah Ahmad Radi;
Noor Fadhilah Ahmad Radi
d)
4
Faculty of Computer & Mathematical Sciences, Universiti Teknologi MARA
, 40450 Shah Alam, Selangor, Malaysia
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Nasrul Hamidin
Nasrul Hamidin
e)
5
School of Environmental Engineering, University Malaysia Perlis
, 02600 Arau, Perlis, Malaysia
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2465, 030009 (2022)
Citation
Siti Aisyah Zakaria, Nor Azrita Mohd Amin, Nur Amalina Mat Jan, Noor Fadhilah Ahmad Radi, Nasrul Hamidin; Trend analysis of the extreme ground-level ozone concentration for 25 air monitoring station in Peninsular Malaysia. AIP Conf. Proc. 24 June 2022; 2465 (1): 030009. https://doi.org/10.1063/5.0078652
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