River dust-induced air pollution in a changing climate: A study of Taiwan's Choshui and Kaoping Rivers

This study investigates river dust episodes along the Choshui and Kaoping Rivers in Taiwan, focusing on their spatiotemporal distribution and correlation with hydrometeorological factors (temperature, precipitation, relative humidity, and wind speed). Using the Improved Complete Ensemble Empirical M...

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Veröffentlicht in:Environmental pollution (1987) 2024-11, Vol.360, p.124398, Article 124398
Hauptverfasser: Tsai, Christina W., Chen, Chun-Kuang
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Sprache:eng
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Zusammenfassung:This study investigates river dust episodes along the Choshui and Kaoping Rivers in Taiwan, focusing on their spatiotemporal distribution and correlation with hydrometeorological factors (temperature, precipitation, relative humidity, and wind speed). Using the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) algorithm and time-dependent intrinsic correlation (TDIC) analysis, we identified significant annual and diurnal correlations between PM10 concentrations and these factors. The analysis revealed that wind speed at Lunbei station had a positive annual correlation with PM10, while other factors exhibited significant negative correlations. Seasonal variations in PM10 correlations with temperature, relative humidity, and wind speed were observed, aligning with the prevailing seasons of river dust episodes. Wind motion analysis highlighted diurnal associations with land-sea breezes and annual correlations with the winter monsoon. Specifically, the Choshui River's dust events coincided with the northeast monsoon, whereas the Kaoping River's events occurred during the northwest and southwest monsoons. The study also uncovered that downstream stations (Lunbei and Daliao) were more prone to severe dust events than upstream stations (Douliu and Pingtung). These findings enhance our understanding of the dynamics and environmental impacts of river dust episodes, providing valuable insights for air quality management and health risk mitigation. [Display omitted] •Wind patterns, including diurnal breezes and monsoons, significantly affect PM10 concentrations.•Seasonal PM10 variations align with dust event seasons along Choshui and Kaoping rivers.•ICEEMDAN analysis reveals significant correlations between PM10 and hydrometeorological factors.•Choshui experiences more severe dust events mainly in winter, while Kaoping's occur in summer.•Choshui's dust primarily comes from bare riverbeds, whereas Kaoping's also comes from typhoon sediment.
ISSN:0269-7491
1873-6424
1873-6424
DOI:10.1016/j.envpol.2024.124398