A Modeling Study of Impact of Emission Control Strategies on PM<sub>2.5</sub> Reductions in Zhongshan, China, Using WRF-CMAQ

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Emissions to be turned off</td><td class="align_center">PM<sub>2.5</sub> (%)</td><td class="align_center">Visibility (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Industrial emissions</td><td class="align_center">−24</td><td class="align_center">26</td></tr><tr><td class="align_left">Residential emissions</td><td class="align_center">−22</td><td class="align_center">21</td></tr><tr><td class="align_left">Mobile emissions</td><td class="align_center">−15</td><td class="align_center">16</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Percentage changes of simulated PM<sub>2.5</sub> concentrations and visibility during heavy polluted periods after turning off industrial, residential, and mobile emissions in Zhongshan.

Advances in Meteorology

tab5

Table 5

Table 5: A Modeling Study of Impact of Emission Control Strategies on PM<sub>2.5</sub> Reductions in Zhongshan, China, Using WRF-CMAQ 

Advances in Meteorology

A Modeling Study of Impact of Emission Control Strategies on PM2.5 Reductions in Zhongshan, China, Using WRF-CMAQ

Table 5

A Modeling Study of Impact of Emission Control Strategies on PM_2.5 Reductions in Zhongshan, China, Using WRF-CMAQ