Nanostructured Ceramics for Air Pollution Control: Removal of Gaseous Pollutants and Pathogenic Organisms

2021 ◽  
pp. 299-312
Author(s):  
Elham Farouk Mohamed ◽  
Gamal Awad
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Gaseous Pollutants ◽  
Air Pollution Control ◽  
Pathogenic Organisms ◽  
Nanostructured Ceramics

scholarly journals Development of a Line Source Dispersion Model for Gaseous Pollutants by Incorporating Wind Shear near the Ground under Stable Atmospheric Conditions

2020 ◽  
Vol 4 (1) ◽  
pp. 17
Author(s):  
Saisantosh Vamshi Harsha Madiraju ◽  
Ashok Kumar
Keyword(s):  
Air Pollution ◽  
Urban Areas ◽  
Wind Shear ◽  
Dispersion Model ◽  
Near Field ◽  
Ground Level ◽  
Gaseous Pollutants ◽  
Air Pollution Control ◽  
Mobile Sources ◽  
Input Variables

Transportation sources are a major contributor to air pollution in urban areas. The role of air quality modeling is vital in the formulation of air pollution control and management strategies. Many models have appeared in the literature to estimate near-field ground level concentrations from mobile sources moving on a highway. However, current models do not account explicitly for the effect of wind shear (magnitude) near the ground while computing the ground level concentrations near highways from mobile sources. This study presents an analytical model based on the solution of the convective-diffusion equation by incorporating the wind shear near the ground for gaseous pollutants. The model input includes emission rate, wind speed, wind direction, turbulence, and terrain features. The dispersion coefficients are based on the near field parameterization. The sensitivity of the model to compute ground level concentrations for different inputs is presented for three different downwind distances. In general, the model shows Type III sensitivity (i.e., the errors in the input will show a corresponding change in the computed ground level concentrations) for most of the input variables. However, the model equations should be re-examined for three input variables (wind velocity at the reference height and two variables related to the vertical spread of the plume) to make sure that that the model is valid for computing ground level concentrations.

The Zhenhua Case: the emergence of civil environmental public interest litigation in China

2021 ◽  
Vol 14 (2) ◽  
pp. 116-128
Author(s):  
Wenjun Yan
Keyword(s):  
Air Pollution ◽  
Environmental Protection ◽  
Public Interest ◽  
Pollution Control ◽  
Environmental Damage ◽  
Air Pollution Control ◽  
Public Interest Litigation ◽  
First Time ◽  
Restoration Cost

Abstract In 2015, the All-China Environment Federation v Dezhou Jinghua Group Zhenhua Corporation Limited case was the first civil environmental public interest litigation (CEPIL) against air pollution in China. Constituting a milestone in the field of air pollution control in China, this case (i) confirms the eligibility of a non-governmental organisation (NGO) to file civil public interest litigations; (ii) discusses remedies for the ecological destruction caused by air pollution; (iii) assesses the ecological and environmental damage using the ‘virtual restoration cost’ method; and (iv) uses public apology as an innovative way for Zhenhua to assume liability. By applying and interpreting several important rules under the Environmental Protection Law of China (EPLC) for the first time, this case sets an example for future CEPILs against air pollution in China.

How to realize the effect of air pollution control? A hybrid decision framework under the fuzzy environment

2021 ◽  
Vol 305 ◽  
pp. 127093
Author(s):  
Yao Tao ◽  
Yunna Wu ◽  
Jianli Zhou ◽  
Man Wu ◽  
Shiman Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Air Pollution Control ◽  
Decision Framework ◽  
Fuzzy Environment

scholarly journals Decoupling Analysis between Economic Growth and Air Pollution in Key Regions of Air Pollution Control in China

2021 ◽  
Vol 13 (12) ◽  
pp. 6600
Author(s):  
Jing Li ◽  
Lipeng Hou ◽  
Lin Wang ◽  
Lina Tang
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Economic Development ◽  
Pollution Control ◽  
Environmental Policies ◽  
River Delta ◽  
Chinese Government ◽  
Air Pollution Control ◽  
The Relationship ◽  
No2 Pollution

The Chinese government has implemented a number of environmental policies to promote the continuous improvement of air quality while considering economic development. Scientific assessment of the impact of environmental policies on the relationship between air pollution and economic growth can provide a scientific basis for promoting the coordinated development of these two factors. This paper uses the Tapio decoupling theory to analyze the relationship between regional economic growth and air pollution in key regions of air pollution control in China—namely, the Beijing–Tianjin–Hebei region and surrounding areas (BTHS), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD)—based on data of GDP and the concentrations of SO2, PM10, and NO2 for 31 provinces in China from 2000 to 2019. The results show that the SO2, PM10, and NO2 pollution in the key regions show strong and weak decoupling. The findings additionally indicate that government policies have played a significant role in improving the decoupling between air pollution and economic development. The decoupling between economic growth and SO2 and PM10 pollution in the BTHS, YRD, and PRD is better than that in other regions, while the decoupling between economic growth and NO2 pollution has not improved significantly in these regions. To improve the relationship between economic growth and air pollution, we suggest that the governments of China and other developing countries should further optimize and adjust the structure of industry, energy, and transportation; apply more stringent targets and measures in areas of serious air pollution; and strengthen mobile vehicle pollution control.

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