New Development of Mathematical and Statistical Model for Predicting AQI in Urban Areas by Using Traffic and Meteorological Data: Mathematical and Statistical Model for Predicting AQI in Domestic Areas

The present invention introduces an innovative air pollution control system to combat air quality degradation in urban and industrial environments. The system integrates advanced technologies, including vacuum pumps, electrostatic precipitators (ESP), multi-layered air filters, and a chimney system, to efficiently extract, purify and release air back into the environment. Central to the system is a vacuum pump that creates a partial vacuum, drawing in polluted air. The air then undergoes purification in the electrostatic precipitator (ESP), where matter particles are removed through corona discharge technology with exceptional efficiency (>99%). Consequent purification using many layers of air filters guarantees that airborne particles and contaminants are removed. The chimney system improves airflow, hence increasing air extraction and purifying efficiency. This all-inclusive approach to air pollution control provides a scalable solution that can be applied in a variety of contexts, thereby improving air quality and increasing environmental sustainability. The system's novel design and integration of crucial components offer a viable solution for reducing air pollution and improving public health.

Authors

Publication Details

Journal
Fuel Cells Bulletin
Published
2024-12-31
DOI
https://doi.org/10.52710/fcb.68
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
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New Development of Mathematical and Statistical Model for Predicting AQI in Urban Areas by Using Traffic and Meteorological Data: Mathematical and Statistical Model for Predicting AQI in Domestic Areas

Arun Kumar Chaudhary
Fuel Cells Bulletin
Air Quality Monitoring and Forecasting
article

New Development of Mathematical and Statistical Model for Predicting AQI in Urban Areas by Using Traffic and Meteorological Data: Mathematical and Statistical Model for Predicting AQI in Domestic Areas

Arun Kumar Chaudhary
article en

Abstract

The present invention introduces an innovative air pollution control system to combat air quality degradation in urban and industrial environments. The system integrates advanced technologies, including vacuum pumps, electrostatic precipitators (ESP), multi-layered air filters, and a chimney system, to efficiently extract, purify and release air back into the environment. Central to the system is a vacuum pump that creates a partial vacuum, drawing in polluted air. The air then undergoes purification in the electrostatic precipitator (ESP), where matter particles are removed through corona discharge technology with exceptional efficiency (>99%). Consequent purification using many layers of air filters guarantees that airborne particles and contaminants are removed. The chimney system improves airflow, hence increasing air extraction and purifying efficiency. This all-inclusive approach to air pollution control provides a scalable solution that can be applied in a variety of contexts, thereby improving air quality and increasing environmental sustainability. The system's novel design and integration of crucial components offer a viable solution for reducing air pollution and improving public health.

Fuel Cells Bulletin
Openalex Percentile: Top 75%
Air Quality Monitoring and Forecasting
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New Development of Mathematical and Statistical Model for Predicting AQI in Urban Areas by Using Traffic and Meteorological Data: Mathematical and Statistical Model for Predicting AQI in Domestic Areas — Arun Kumar Chaudhary · Fuel Cells Bulletin (2024) | TGRS Research Map | TGRS