Mixed POT-BM Approach for Modeling Unhealthy Air Pollution Events
Bibliographic Data
| ID | 15480922 |
|---|---|
| Authors | Nurulkamal Masseran (0000-0001-9233-6983, National University of Malaysia, corresponding author), Muhammad Aslam Mohd Safari (0000-0001-5573-0922, Universiti Putra Malaysia) |
| Year | 2021 |
| Volume | 18 |
| Issue | 13 |
| Pages | 6754-6754 |
| Publication date | 2021-06-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18136754 |
| PMID | 34201763 |
| OpenAlex | W3175092680 |
| Language | EN |
| Citations received | 1 |
| References cited | 54 |
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
Block (permutation group theory · Dependency (UML · Event (particle physics · Extreme value theory · Maxima · Mixed model · Statistics · Air Quality and Health Impacts · Computer Science · Hydrology and Drought Analysis · Mathematics · Wind and Air Flow Studies · Artificial Intelligence
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |