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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
MDPI
2021
|
| _version_ | 1825937421312720896 |
|---|---|
| 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. |
| first_indexed | 2024-03-06T10:59:14Z |
| format | Article |
| id | upm.eprints-94212 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T10:59:14Z |
| publishDate | 2021 |
| publisher | MDPI |
| record_format | dspace |
| 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 |