Modeling spatial–temporal variability of PM2.5 concentrations in Belt and Road Initiative (BRI) region via functional adaptive density approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-30048-z.pdf
Reference57 articles.
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2. Alfiandy S, Virgianto RH, Putri AS (2020) Modeling of daily PM2.5 concentration based on the principal components regression in south and central Jakarta. J Phys: Conference Series 1434(1). https://doi.org/10.1088/1742-6596/1434/1/012012
3. Anjum MS, Ali SM, Imad-ud-din M, Subhani MA, Anwar MN, Nizami AS, Ashraf U, Khokhar MF (2021) An emerged challenge of air pollution and ever-increasing particulate matter in Pakistan; a critical review. J Hazard Mater 402(June 2020). https://doi.org/10.1016/j.jhazmat.2020.123943
4. Ascensão F, Fahrig L, Clevenger AP, Corlett RT, Jaeger JAG, Laurance WF, Pereira HM (2018) Environmental challenges for the Belt and Road Initiative. Nat Sustain 1(5):206–209. https://doi.org/10.1038/s41893-018-0059-3
5. Broomandi P, Geng X, Guo W, Pagani A, Topping D, Kim JR (2021) Dynamic complex network analysis of PM2.5 concentrations in the Uk, using hierarchical directed graphs (V1.0.0). Sustainability 13(4):1–14. https://doi.org/10.3390/su13042201
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1. Dynamic clustering of spatial–temporal rainfall and temperature data over multi-sites in Yemen using multivariate functional approach;Stochastic Environmental Research and Risk Assessment;2024-03-29
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