Determination of air quality index and its impacts on human health in Chennai City

Air pollution in India particularly in metropolitan cities is a serious issue mainly due to vehicular emission, traffic congestion, burning of coal, fuelwood process. The objective of this project is to provide insightful details about the current situation of air quality across five locations in Chennai city and its impacts using an air quality detector meter. The concentration of pollutants namely Carbon dioxide (CO2), Formaldehyde (HCHO), Suspended Particulate Matter (SPM), Total Volatile Organic Compounds (TVOC) and, meteorological conditions like Temperature and Humidity are measured at five polluted areas in Chennai metropolitan city and Air Quality Index values are calculated. From the above Air Quality Index values, it is found that Marina Beach bus stop, Velachery bus stop, Mount Road government estate metro station, Koyambedu bus station, Alandur metro station are identified as problematic zones and health impacts are Published.

Download Full-text

Regional Energy, CO2, and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach

Energies ◽

10.3390/en11082119 ◽

2018 ◽

Vol 11 (8) ◽

pp. 2119 ◽

Cited By ~ 3

Author(s):

Ying Li ◽

Yung-Ho Chiu ◽

Liang Lu

Keyword(s):

Particulate Matter ◽

Energy Consumption ◽

Air Quality ◽

Quality Index ◽

Air Pollutant ◽

Air Quality Index ◽

Significant Difference ◽

Desirable Output ◽

Reduce Emissions ◽

Carbon Dioxide Co2

Rapid economic development has resulted in a significant increase in energy consumption and pollution such as carbon dioxide (CO2), particulate matter (PM2.5), particulate matter 10 (PM10), SO2, and NO2 emissions, which can cause cardiovascular and respiratory diseases. Therefore, to ensure a sustainable future, it is essential to improve economic efficiency and reduce emissions. Using a Meta-frontier Non-radial Directional Distance Function model, this study took energy consumption, the labor force, and fixed asset investments as the inputs, Gross domestic product (GDP) as the desirable output, and CO2 and the Air Quality Index (AQI) scores as the undesirable outputs to assess energy efficiency and air pollutant index efficiency scores in China from 2013–2016 and to identify the areas in which improvements was necessary. It was found that there was a large gap between the western and eastern cities in China. A comparison of the CO2 and AQI in 31 Chinese cities showed a significant difference in the CO2 emissions and AQI efficiency scores, with the lower scoring cities being mainly concentrated in China’s western region. It was therefore concluded that China needs to pay greater attention to the differences in the economic levels, stages of social development, and energy structures in the western cities when developing appropriately focused improvement plans.

Download Full-text

Evaluating the impact of partial driving restrictions on local air quality in Chongqing using regression discontinuity design

Environment and Planning B Urban Analytics and City Science ◽

10.1177/23998083211010801 ◽

2021 ◽

pp. 239980832110108

Author(s):

Xin Li ◽

Shuhan Jiang ◽

Tianqi Wang ◽

Jia Hu ◽

Yun Yuan

Keyword(s):

Air Quality ◽

Traffic Congestion ◽

Quality Index ◽

Regression Discontinuity ◽

Principal Component ◽

River System ◽

Air Quality Index ◽

Regression Discontinuity Design ◽

Driving Restrictions ◽

The Impact

Driving restriction is used to mitigate traffic congestion and improve air quality. A partial bridge restriction policy is created in Chongqing, China since the bridges are natural network bottlenecks due to the local river system. Is such a strategy really capable of reducing air pollution and further improving local air quality? Employing an integration of principal component analysis and a regression-discontinuity design approach, this study examines the short-run effect of the partial driving restrictions on the local air quality index in Chongqing, China. The examination is first conducted to the city level, and then its eight administrative districts are tested separately. The findings reveal that the air quality index of the whole city area has experienced deterioration after the introduction of restrictions in Chongqing. Among eight districts, Yuzhong is the only one experiencing an improvement of air quality index.

Download Full-text

Does Air Quality Influence the Spread of the SARS - COV2 in Metropolitan Cities? - A Case Study from Urban India

Current World Environment ◽

10.12944/cwe.16.2.27 ◽

2021 ◽

Vol 16 (2) ◽

pp. 628-648

Author(s):

Souradip Basu ◽

Rajdeep Das ◽

Sohini Gupta ◽

Sayak Ganguli

Keyword(s):

Air Quality ◽

Quality Index ◽

Quality Parameters ◽

Air Pollutant ◽

Air Quality Index ◽

Pollution Level ◽

Metropolitan Cities ◽

The Government

COVID 19 pandemic has gradually established itself as the worst pandemic in the last hundred years around the world after initial outbreak in China, including India. To prevent the spread of the infection the Government implemented lockdown measure initially from 24th March to 14th April, 2020 which was later extended to 3rd May, 2020. This lockdown imposed restrictions in human activities, vehicular movements and industrial functioning; resulting in reduced pollution level in the cities. This study was initiated with the objective to identify the change in the air quality of seven megacities in India and to determine any correlation between the active COVID cases with the air quality parameters. Air quality dataset of the most common parameters (PM2.5, PM10, SO2, NO2, NH3, CO and Ozone) along with air quality index for 70 stations of seven megacities (Delhi, Mumbai, Kolkata, Bengaluru, Hyderabad, Chennai and Chandigarh) were analysed. Comparison was made between AQI of pre lockdown and during lockdown periods. The results obtained indicate sufficient improvement in air quality during the period of the lockdown. For the next part of the study active COVID cases during the lockdown were compared to the air quality change of that period. A significant correlation between active COVID case and change in the air quality was observed for Delhi and Kolkata with 0.51 and 0.64 R2 values respectively. A positive correlation was also observed between air pollutant parameters and incidents of COVID cases in this study. Thus from the analysis it was identified that air quality index improved considerably as a result of the nationwide lockdown however, there was no significant impact of this improvement on the infection rate of the prevailing pandemic.

Download Full-text