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| DOI | 10.1038/s41598-023-41906-8 |
| Meteorological variability and predictive forecasting of atmospheric particulate pollution | |
| Hong, Wan Yun | |
| 发表日期 | 2024 |
| ISSN | 2045-2322 |
| 起始页码 | 14 |
| 结束页码 | 1 |
| 卷号 | 14期号:1 |
| 英文摘要 | Due to increasingly documented health effects associated with airborne particulate matter (PM), challenges in forecasting and concern about their impact on climate change, extensive research has been conducted to improve understanding of their variability and accurately forecasting them. This study shows that atmospheric PM10 concentrations in Brunei-Muara district are influenced by meteorological conditions and they contribute to the warming of the Earth's atmosphere. PM10 predictive forecasting models based on time and meteorological parameters are successfully developed, validated and tested for prediction by multiple linear regression (MLR), random forest (RF), extreme gradient boosting (XGBoost) and artificial neural network (ANN). Incorporation of the previous day's PM10 concentration (PM10,t-1) into the models significantly improves the models' predictive power by 57-92%. The MLR model with PM10,t-1 variable shows the greatest capability in capturing the seasonal variability of daily PM10 (RMSE = 1.549 mu g/m3; R2 = 0.984). The next day's PM10 can be forecasted more accurately by the RF model with PM10,t-1 variable (RMSE = 5.094 mu g/m3; R2 = 0.822) while the next 2 and 3 days' PM10 can be forecasted more accurately by ANN models with PM10,t-1 variable (RMSE = 5.107 mu g/m3; R2 = 0.603 and RMSE = 6.657 mu g/m3; R2 = 0.504, respectively). |
| 语种 | 英语 |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS类目 | Multidisciplinary Sciences |
| WOS记录号 | WOS:001142781100775 |
| 来源期刊 | SCIENTIFIC REPORTS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/294424 |
| 作者单位 | University Brunei Darussalam |
| 推荐引用方式 GB/T 7714 | Hong, Wan Yun. Meteorological variability and predictive forecasting of atmospheric particulate pollution[J],2024,14(1). |
| APA | Hong, Wan Yun.(2024).Meteorological variability and predictive forecasting of atmospheric particulate pollution.SCIENTIFIC REPORTS,14(1). |
| MLA | Hong, Wan Yun."Meteorological variability and predictive forecasting of atmospheric particulate pollution".SCIENTIFIC REPORTS 14.1(2024). |
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