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="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">The day after emissions are turned off</td><td class="align_center">PM<sub>2.5</sub> concentrations (%)</td><td class="align_center">Visibility (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1st day</td><td class="align_center">−47</td><td class="align_center">57</td></tr><tr><td class="align_left">2nd day</td><td class="align_center">−52</td><td class="align_center">63</td></tr><tr><td class="align_left">3rd day</td><td class="align_center">−58</td><td class="align_center">90</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 after local emissions are turned off in Zhongshan.

Advances in Meteorology

tab4

Table 4

Table 4: 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 4

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