title: Role of sectoral and multi-pollutant emission control strategies in improving atmospheric visibility in the Yangtze River Delta, China.
abstract: The Community Multi-scale Air Quality modeling system is used to investigate the response of atmospheric visibility to the emission reduction from different sectors (i.e. industries, traffic and power plants) in the Yangtze River Delta, China. Visibility improvement from exclusive reduction of NOx or VOC emission was most inefficient. Sulfate and organic aerosol would rebound if NOx emission was exclusively reduced from any emission sector. The most efficient way to improve the atmospheric visibility was proven to be the multi-pollutant control strategies. Simultaneous emission reductions (20-50%) on NOx, VOC and PM from the industrial and mobile sectors could result in 0.3-1.0 km visibility improvement. And the emission controls on both NOx (85%) and SO2 (90%) from power plants gained the largest visibility improvement of up to 4.0 km among all the scenarios. The seasonal visibility improvement subject to emission controls was higher in summer while lower in the other seasons.
authors.affiliation: Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, TN 37996, USA; Center for Atmospheric Chemistry Study, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, PR China.
authors.forename: Kan
authors.initials: K
authors.lastname: Huang
authors.forename: Joshua S
authors.initials: JS
authors.lastname: Fu
authors.forename: Yang
authors.initials: Y
authors.lastname: Gao
authors.forename: Xinyi
authors.initials: X
authors.lastname: Dong
authors.forename: Guoshun
authors.initials: G
authors.lastname: Zhuang
authors.forename: Yanfen
authors.initials: Y
authors.lastname: Lin
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000517:prevention & control / Q000706:statistics & numerical data*; D001272:Atmosphere / Q000737:chemistry; D002681:China; D003247:Conservation of Natural Resources / Q000379:methods; D004784:Environmental Monitoring; D058735:Environmental Policy; D007221:Industry / Q000331:legislation & jurisprudence / Q000379:methods / Q000706:statistics & numerical data; D009589:Nitrogen Oxides / Q000032:analysis; D052638:Particulate Matter / Q000032:analysis; D011210:Power Plants / Q000331:legislation & jurisprudence / Q000706:statistics & numerical data; D045483:Rivers / Q000737:chemistry*; D012621:Seasons; D013458:Sulfur Dioxide / Q000032:analysis; D001335:Vehicle Emissions / Q000032:analysis / Q000331:legislation & jurisprudence / Q000517:prevention & control; D055549:Volatile Organic Compounds / Q000032:analysis
chemical_list: D000393:Air Pollutants; D009589:Nitrogen Oxides; D052638:Particulate Matter; D001335:Vehicle Emissions; D055549:Volatile Organic Compounds; D013458:Sulfur Dioxide
keywords: CMAQ simulation; Multi-pollutant control; Visibility