Mixed POT-BM approach for modeling unhealthy air pollution events

This article proposes a novel data selection technique called the mixed peak-over-threshold–block-maxima (POT-BM) approach for modeling unhealthy air pollution events. The POT technique is employed to obtain a group of blocks containing data points satisfying extreme-event criteria that are greater...

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Main Authors: Masseran, Nurulkamal, Mohd Safari, Muhammad Aslam
Format: Article
Published: MDPI 2021
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author Masseran, Nurulkamal
Mohd Safari, Muhammad Aslam
author_facet Masseran, Nurulkamal
Mohd Safari, Muhammad Aslam
author_sort Masseran, Nurulkamal
collection UPM
description This article proposes a novel data selection technique called the mixed peak-over-threshold–block-maxima (POT-BM) approach for modeling unhealthy air pollution events. The POT technique is employed to obtain a group of blocks containing data points satisfying extreme-event criteria that are greater than a particular threshold u. The selected groups are defined as POT blocks. In parallel with that, a declustering technique is used to overcome the problem of dependency behaviors that occurs among adjacent POT blocks. Finally, the BM concept is integrated to determine the maximum data points for each POT block. Results show that the extreme data points determined by the mixed POT-BM approach satisfy the independent properties of extreme events, with satisfactory fitted model precision results. Overall, this study concludes that the mixed POT-BM approach provides a balanced tradeoff between bias and variance in the statistical modeling of extreme-value events. A case study was conducted by modeling an extreme event based on unhealthy air pollution events with a threshold u > 100 in Klang, Malaysia.
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spelling upm.eprints-942122023-05-08T04:47:15Z http://psasir.upm.edu.my/id/eprint/94212/ Mixed POT-BM approach for modeling unhealthy air pollution events Masseran, Nurulkamal Mohd Safari, Muhammad Aslam This article proposes a novel data selection technique called the mixed peak-over-threshold–block-maxima (POT-BM) approach for modeling unhealthy air pollution events. The POT technique is employed to obtain a group of blocks containing data points satisfying extreme-event criteria that are greater than a particular threshold u. The selected groups are defined as POT blocks. In parallel with that, a declustering technique is used to overcome the problem of dependency behaviors that occurs among adjacent POT blocks. Finally, the BM concept is integrated to determine the maximum data points for each POT block. Results show that the extreme data points determined by the mixed POT-BM approach satisfy the independent properties of extreme events, with satisfactory fitted model precision results. Overall, this study concludes that the mixed POT-BM approach provides a balanced tradeoff between bias and variance in the statistical modeling of extreme-value events. A case study was conducted by modeling an extreme event based on unhealthy air pollution events with a threshold u > 100 in Klang, Malaysia. MDPI 2021-06-23 Article PeerReviewed Masseran, Nurulkamal and Mohd Safari, Muhammad Aslam (2021) Mixed POT-BM approach for modeling unhealthy air pollution events. International Journal of Environmental Research and Public Health, 18 (13). art. no. 6754. pp. 1-17. ISSN 1661-7827; ESSN: 1660-4601 https://www.mdpi.com/1660-4601/18/13/6754 10.3390/ijerph18136754
spellingShingle Masseran, Nurulkamal
Mohd Safari, Muhammad Aslam
Mixed POT-BM approach for modeling unhealthy air pollution events
title Mixed POT-BM approach for modeling unhealthy air pollution events
title_full Mixed POT-BM approach for modeling unhealthy air pollution events
title_fullStr Mixed POT-BM approach for modeling unhealthy air pollution events
title_full_unstemmed Mixed POT-BM approach for modeling unhealthy air pollution events
title_short Mixed POT-BM approach for modeling unhealthy air pollution events
title_sort mixed pot bm approach for modeling unhealthy air pollution events
work_keys_str_mv AT masserannurulkamal mixedpotbmapproachformodelingunhealthyairpollutionevents
AT mohdsafarimuhammadaslam mixedpotbmapproachformodelingunhealthyairpollutionevents