Control techniques and strategies for regional air pollution control from energy and industrial sectors

1995 ◽  
Vol 85 (1) ◽  
pp. 213-224 ◽  
Author(s):  
T. Zundel ◽  
O. Rentz ◽  
R. Dorn ◽  
A. Jattke ◽  
M. Wietschel
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Air Pollution Control ◽  
Control Techniques ◽  
Industrial Sectors ◽  
Regional Air Pollution

Municipal Solid Waste Incineration in France: An Overview of Air Pollution Control Techniques, Emissions, and Energy Efficiency

2017 ◽  
Vol 22 (5) ◽  
pp. 1016-1026 ◽  
Author(s):  
Antoine Beylot ◽  
Antoine Hochar ◽  
Pascale Michel ◽  
Marie Descat ◽  
Yannick Ménard ◽  
...  
Keyword(s):  
Air Pollution ◽  
Energy Efficiency ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Pollution Control ◽  
Waste Incineration ◽  
Air Pollution Control ◽  
Municipal Solid Waste Incineration ◽  
Control Techniques

Regional Air Pollution Control Costs

1972 ◽  
Vol 22 (9) ◽  
pp. 679-684
Author(s):  
W.E. Jackson ◽  
H.C. Wohlers
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Air Pollution Control ◽  
Regional Air Pollution

scholarly journals Development of a unit-based industrial emission inventory in the Beijing-Tianjin-Hebei region and resulting improvement in air quality modeling

2018 ◽  
Author(s):  
Haotian Zheng ◽  
Siyi Cai ◽  
Shuxiao Wang ◽  
Bin Zhao ◽  
Xing Chang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Emission Inventory ◽  
Ferrous Metal ◽  
Pollutant Emissions ◽  
Air Pollution Control ◽  
Industrial Enterprises ◽  
Industrial Sectors ◽  
Bth Region

Abstract. The Beijing-Tianjin-Hebei (BTH) region is a metropolitan area with the most severe fine particle (PM2.5) pollution in China. Accurate emission inventory plays an important role in air pollution control policy making. In this study, we develop a unit-based emission inventory for industrial sectors in the BTH region, including power plants, industrial boilers, and steel, non-ferrous metal, coking, cement, glass, brick, lime, ceramics, refinery, and chemical industries, based on detailed information for each enterprise, such as location, annual production, production technology/process and air pollution control facilities. In the BTH region, the emissions of sulfur dioxide (SO2), nitrogen oxide (NOx), particulate matter with diameter less than 10 μm (PM10), PM2.5, black carbon (BC), organic carbon (OC), and non-methane volatile organic compounds (NMVOCs) from industrial sectors are 869 kt, 1164 kt, 910 kt, 622 kt, 71 kt, 63 kt and 1390 kt in 2014, respectively, accounting for 61 %, 55 %, 62 %, 56 %, 58 %, 22 % and 36 %, respectively, of the total emissions. Compared with the traditional proxy-based emission inventory, much less emissions in the high-resolution unit-based inventory are allocated to the urban center because of the accurate positioning of industrial enterprises. We apply the Community Multi-scale Air Quality (CMAQ) model simulation to evaluate the unit-based inventory. The simulation results show that the unit-based emission inventory gives better performance of both PM2.5 and gaseous pollutants than the proxy-based emission inventory. The normalized mean biases (NMBs) are 81 %, 21 %, 1 % and −7 % for concentrations of SO2, NO2, ozone and PM2.5, respectively, with the unit-based inventory, in contrast to 124 %, 39 %, −8 % and 9 % with the proxy-based inventory. Furthermore, the concentration gradients of PM2.5, which are defined as the ratio of urban concentration to suburban concentration, are 1.6, 2.1 and 1.5 in January and 1.3, 1.5 and 1.3 in July, for simulations with the unit-based inventory, simulations with the proxy-based inventory, and observations, respectively, in Beijing. For ozone, the corresponding gradients are 0.7, 0.5 and 0.9 in January and 0.9, 0.8 and 1.1 in July, implying that the unit-based emission inventory better reproduces the distributions of pollutant emissions between the urban and suburban areas.

Cooperative econometric model for regional air pollution control with the additional goal of promoting employment

2019 ◽  
Vol 237 ◽  
pp. 117814 ◽  
Author(s):  
Jian Xue ◽  
Xiaoqin Ji ◽  
Laijun Zhao ◽  
Yong Yang ◽  
Yujing Xie ◽  
...  
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Econometric Model ◽  
Air Pollution Control ◽  
Regional Air Pollution
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