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© Springer Nature Switzerland AG 2021
R. Chandrappa, D. B. Das, Environmental Health - Theory and Practice,
https://doi.org/10.1007/978-3-030-64484-0_6
Chapter 6
Air Pollution Control
Abstract Atmosphere is a complicated reactive system. The pollution spreads due
to a combination of chemical, physical and biological processes, which typically
occur simultaneously. Air pollution control requires intervention of science, law and
policy. Intervention of knowledge of science is required to control air pollution at
the pollution source such as industry, automobile, mining and farming. Policy interventions need to be enforced by law to discipline few polluters for the benefit of
many who are exposed to pollution. This chapter discusses the common engineering
technologies along with administrative interventions for air pollution control.
6.1 Introduction
Atmosphere is a complicated reactive system. The pollution spreads due to a combination of chemical, physical and biological processes, which typically occur
simultaneously. In recent years, a number of epidemiological studies have established that exposure to air pollution is linked with numerous adverse outcomes, such
as chronic obstructive pulmonary disease, acute lower respiratory infections, cardiovascular diseases, asthma and lung cancer among other serious diseases
(Domingo et al. 2020).
Models have been developed, which use existing data to forecast air pollution
dispersion in the future. Air pollution modelling helps policymakers to take decisions to protect public health by forecasting possible pollution level due to the
changing emission levels, alteration of terrain, new construction activities, change
in transportation infrastructure, and increase in traffic and fuel quality.
Models can be based on a purely mathematical or physical principle. In a mathematical model, governing equations are used to simulate the processes in a region
of interest. In a physical model, an imitation of an area of interest can be formed, for
example, within a wind tunnel.
The domains of the atmospheric model vary from global scale to micro scale.
Mathematical models can be used for EIA and HIA.
© Springer Nature Switzerland AG 2021
R. Chandrappa, D. B. Das, Environmental Health - Theory and Practice,
https://doi.org/10.1007/978-3-030-64484-0_6
Chapter 6
Air Pollution Control
Abstract Atmosphere is a complicated reactive system. The pollution spreads due
to a combination of chemical, physical and biological processes, which typically
occur simultaneously. Air pollution control requires intervention of science, law and
policy. Intervention of knowledge of science is required to control air pollution at
the pollution source such as industry, automobile, mining and farming. Policy interventions need to be enforced by law to discipline few polluters for the benefit of
many who are exposed to pollution. This chapter discusses the common engineering
technologies along with administrative interventions for air pollution control.
6.1 Introduction
Atmosphere is a complicated reactive system. The pollution spreads due to a combination of chemical, physical and biological processes, which typically occur
simultaneously. In recent years, a number of epidemiological studies have established that exposure to air pollution is linked with numerous adverse outcomes, such
as chronic obstructive pulmonary disease, acute lower respiratory infections, cardiovascular diseases, asthma and lung cancer among other serious diseases
(Domingo et al. 2020).
Models have been developed, which use existing data to forecast air pollution
dispersion in the future. Air pollution modelling helps policymakers to take decisions to protect public health by forecasting possible pollution level due to the
changing emission levels, alteration of terrain, new construction activities, change
in transportation infrastructure, and increase in traffic and fuel quality.
Models can be based on a purely mathematical or physical principle. In a mathematical model, governing equations are used to simulate the processes in a region
of interest. In a physical model, an imitation of an area of interest can be formed, for
example, within a wind tunnel.
The domains of the atmospheric model vary from global scale to micro scale.
Mathematical models can be used for EIA and HIA.