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.