ABSTRACT
<p><b>OBJECTIVE</b>To establish concentration-response relationship model for high particulate air pollution and daily hospital admissions for early warning system.</p><p><b>METHODS</b>The Poisson generalized additive model was used with natural cubic spline smoothing for air pollutants of PM10, SO2, NO2, CO to determine the shape of concentration-response relationship. And piecewise linear regression was used for risk analysis.</p><p><b>RESULTS</b>Age-specific analysis suggested the non-linear association between particulate air pollution and hospital admissions in all age groups. In respiratory and cardiovascular admissions, the percentage increase was 0.716%-2.145% and 0.65% for 10 microg/m3 increase in PM10, respectively. Cause-specific analysis suggested the non-linear association between particulate air pollution and hospital admissions for all diseases. The significant association was found with COPD and ischaemic heart disease, and the related percentage increase was 2.94% and 1.94%, respectively. Heating and noheating period analysis suggested the effect of PM10 was higher in noheating period than that in heating period.</p><p><b>CONCLUSION</b>Compared with mortality, particulate air pollution should affect the hospital admissions more greatly, the percentage increase should be higher for hospital admissions than that of mortality (0.25%).</p>