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Selection and Characterization of River Fugitive Dust Episodes over Zhuoshui River in Taiwan

Category: Others

Accepted Manuscripts
DOI: 10.4209/aaqr.2018.07.0259
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I-Cheng Chang1, Yu-Chun Chiang2, Tai-Yi Yu 3

  • 1 Department of Environmental Engineering, National Ilan University, Yilan City, Yilan 26047, Taiwan
  • 2 Department of Mechanical Engineering, Yuan Ze University, Taoyuan 32003, Taiwan
  • 3 Department of Risk Management and Insurance, Ming Chuan University, Taipei 11103, Taiwan

Highlights

Principal component analysis was applied to screen river fugitive dust episodes.
Component scores of the PC1 for PM10 levels are utilized as the suitable indicators.
Statistical indicators related to PM10 and meteorological parameters are evaluated.


Abstract

This study employs principal component analysis to cite river fugitive dust episodes over Zhuoshui River in Taiwan. The component scores of the first principal component were applied as the indicators to screen the river fugitive dust episodes. As for the daily PM10 concentrations at monitoring stations in Zhuoshui River, the first principal component explains 65% of total variance of concentrations. As for the principal components behind the first principal component, since the contributions of PM10 concentrations was lower than 13%, they were not suitable indicators for selecting air pollution episodes. The numbers of days exceeding national ambient air quality standard (NAAQS) for PM10 was used to evaluate effectiveness for the component scores of the first principle component. In selecting river fugitive dust episodes, the polluted episodes resulted from dust storms and transboundary pollution cannot be sieved as target episodes. The features of meteorological parameters, synoptic weather, PM10 concentrations and principal components of principal components for river fugitive dust episodes over Zhuoshui River were also analyzed as useful references to forecast river fugitive dust episodes and implement related air quality management issues.

Keywords

Principal component analysis Synoptic weather River fugitive dust


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