Short-term associations between daily mortality and ambient particulate matter, nitrogen dioxide, and the air quality index in a Middle Eastern megacity

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.

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Effect of short-term variation in air quality index on cardiorespiratory parameters of non-smoking healthy adults during Diwali in Delhi

National Journal of Physiology Pharmacy and Pharmacology ◽

10.5455/njppp.2021.11.03077202127042021 ◽

2021 ◽

pp. 1

Author(s):

Amina Zaidi ◽

Ved Varshney ◽

Mona Bedi

Keyword(s):

Air Quality ◽

Quality Index ◽

Healthy Adults ◽

Air Quality Index ◽

Short Term ◽

Term Variation

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Spatio-Temporal Variation of Particulate Matter(PM2.5) Concentrations and Its Health Impacts in a Mega City, Delhi in India

Environmental Health Insights ◽

10.1177/1178630218792861 ◽

2018 ◽

Vol 12 ◽

pp. 117863021879286 ◽

Cited By ~ 16

Author(s):

Amit Kumar Gorai ◽

Paul B Tchounwou ◽

SS Biswal ◽

Francis Tuluri

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Environmental Protection Agency ◽

Quality Index ◽

Temporal Variations ◽

Air Quality Index ◽

Capital City ◽

Health Impacts ◽

Quality Level ◽

Spatio Temporal

Rising concentration of air pollution and its associated health effects is rapidly increasing in India, and Delhi, being the capital city, has drawn our attention in recent years. This study was designed to analyze the spatial and temporal variations of particulate matter (PM2.5) concentrations in a mega city, Delhi. The daily PM2.5 concentrations monitored by the Central Pollution Control Board (CPCB), New Delhi during November 2016 to October 2017 in different locations distributed in the region of the study were used for the analysis. The descriptive statistics indicate that the spatial mean of monthly average PM2.5 concentrations ranged from 45.92 μg m−3 to 278.77 μg m−3. The maximum and minimum spatial variance observed in the months of March and September, respectively. The study also analyzed the PM2.5 air quality index (PM2.5—Air Quality Index (AQI)) for assessing the health impacts in the study area. The AQI value was determined according to the U.S. Environmental Protection Agency (EPA) system. The result suggests that most of the area had the moderate to very unhealthy category of PM2.5-AQI and that leads to severe breathing discomfort for people residing in the area. It was observed that the air quality level was worst during winter months (October to January).

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A Short-Term Air Quality Control for PM10 Levels

Electronics ◽

10.3390/electronics9091409 ◽

2020 ◽

Vol 9 (9) ◽

pp. 1409

Author(s):

Claudio Carnevale ◽

Elena De Angelis ◽

Franco Luis Tagliani ◽

Enrico Turrini ◽

Marialuisa Volta

Keyword(s):

Air Quality ◽

Quality Index ◽

Control Variable ◽

Air Quality Index ◽

Integrated Assessment Model ◽

Assessment Model ◽

Forecasting Model ◽

Short Term ◽

Air Quality Control ◽

Selection Of

In this work, the implementation and test of an integrated assessment model (IAM) to aid governments to define their short term plans (STP) is presented. The methodology is based on a receding horizon approach where the forecasting model gives information about a selected air quality index up to 3 days in advance once the emission of the involved pollutants (control variable) are known. The methodology is fully general with respect to the model used for the forecast and the air quality index; nevertheless, the selection of these models must take into account the peculiarities of the pollutants to be controlled. This system has been tested for particulate matter (PM10) control over a domain located in Northern Italy including the highly polluted area of Brescia. The results show that the control system can be a valuable asset to aid local authorities in the selection of suitable air quality plans.

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Assessment of spatial variations of particulate matter (PM10 and PM2.5) in Bahrain identified by air quality index (AQI)

Arabian Journal of Geosciences ◽

10.1007/s12517-016-2808-9 ◽

2017 ◽

Vol 10 (1) ◽

Cited By ~ 12

Author(s):

Majeed S. Jassim ◽

Gulnur Coskuner

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Quality Index ◽

Spatial Variations ◽

Air Quality Index ◽

Pm10 And Pm2.5

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Estimating Short- and Long-Term Associations Between Air Quality Index and COVID-19 Transmission: Evidence From 257 Chinese Cities

International Journal of Public Health ◽

10.3389/ijph.2021.1604215 ◽

2021 ◽

Vol 66 ◽

Author(s):

Ru Cao ◽

Yuxin Wang ◽

Xiaochuan Pan ◽

Xiaobin Jin ◽

Jing Huang ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Quality Index ◽

Air Quality Index ◽

Pollution Level ◽

Short Term ◽

Migration Index ◽

Long Run ◽

Long Term Impact

Objectives: To evaluate the long- and short-term effects of air pollution on COVID-19 transmission simultaneously, especially in high air pollution level countries.Methods: Quasi-Poisson regression was applied to estimate the association between exposure to air pollution and daily new confirmed cases of COVID-19, with mutual adjustment for long- and short-term air quality index (AQI). The independent effects were also estimated and compared. We further assessed the modification effect of within-city migration (WM) index to the associations.Results: We found a significant 1.61% (95%CI: 0.51%, 2.72%) and 0.35% (95%CI: 0.24%, 0.46%) increase in daily confirmed cases per 1 unit increase in long- and short-term AQI. Higher estimates were observed for long-term impact. The stratifying result showed that the association was significant when the within-city migration index was low. A 1.25% (95%CI: 0.0.04%, 2.47%) and 0.41% (95%CI: 0.30%, 0.52%) increase for long- and short-term effect respectively in low within-city migration index was observed.Conclusions: There existed positive associations between long- and short-term AQI and COVID-19 transmission, and within-city migration index modified the association. Our findings will be of strategic significance for long-run COVID-19 control.

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AMBIENT AIR QUALITY STATUS OF DEWAS INDUSTRIAL AREA OF MADHYA PRADESH, INDIA

EPRA International Journal of Economic Growth and Environmental Issues ◽

10.36713/epra5304 ◽

2020 ◽

pp. 4-12

Author(s):

Reeta Kori ◽

Alok Saxena ◽

Harish Wankhade ◽

Asad Baig ◽

Ankita Kulshreshtha ◽

...

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Quality Index ◽

Ambient Air ◽

Industrial Area ◽

Madhya Pradesh ◽

Air Quality Index ◽

Particulate Phase ◽

Ambient Air Quality ◽

Quality Status

A study has been conducted to assess the ambient air quality status of Dewas industrial area of Madhya Pradesh, India. Total nine locations were selected in Dewas industrial area for ambient air quality monitoring. The eleven pollutants mainly particulate matter less than 10 µ size (PM10), particulate matter less than 2.5 µ size (PM2.5), nitrogen dioxide (NO2), sulphur dioxide (SO2), ozone (O3), ammonia (NH3), benzene (C6H6), benzo (a) Pyrene (BaP) – particulate phase, lead (Pb), Arsenic (As) and Nickel (Ni) were monitored during different four quarters from April 2019 to March 2020. The study revealed that average concentration of gaseous pollutants viz, NO2, SO2, O3, NH3, C6H6 in ambient air were well within standard limits at all selected locations, however concentration of particulate matter (PM10, PM2.5) and heavy metals (Pb & Ni) except As level were found exceeding the National Ambient Air Quality Standards (NAAQS) 2009, India at few monitoring locations. Benzo (a) Pyrene (BaP) –particulate phase in ambient air was not detected during this study. Ambient air Quality Index was found to be moderate (115.56-198.36) at six locations and satisfactory (17.60-94.94) at three locations in Dewas industrial area. Overall ambient Air Quality Index of Dewas industrial area was observed, satisfactory to moderate during this study w.r.t. Air Quality Index. KEY WORDS: Industrial Area, Ambient Air, Air Pollutants, Air Quality Index

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SMOG IN BIALYSTOK IN POLAND. DATA OF PM 2.5 AND PM 10 PARTICULATE MATTER IN OUTDOOR AIR MEASURED IN 2017-2018 BY "THE LABORATORY OF ENERGY-EFFICIENT ARCHITECTURE AND RENEWABLE ENERGIES" AT FACULTY OF ARCHITECTURE OF BIALYSTOK UNIVERSITY OF TECHNOLOGY

GEOLINKS Conference proceedings, Book 1 Volume 2 ◽

10.32008/geolinks2020/b1/v2/05 ◽

2020 ◽

Author(s):

Adam Turecki

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Energy Efficient ◽

Quality Index ◽

Renewable Energies ◽

Air Quality Index ◽

University Of Technology ◽

Energy Efficient Architecture ◽

The Government ◽

Pm2.5 And Pm10

The differences between what in the winter 2017 was presented by the government measurement station of air quality, belonging to the Chief Inspectorate of Environmental Protection (CIEP) in Bialystok in Poland, and what the citizens could see and smell, were the reason for installing the monitoring system of PM10 and PM2.5 particulate matter, in the "Laboratory of Energy-efficient Architecture and Renewable Energies" (LEARE) at the Faculty of Architecture of Bialystok University of Technology. The measurements were compared with done by CIEP and the information of “The World Air Quality Index” (WAQI). This project started in 2007. It is proving a transparent Air Quality information for more than 70 countries, covering more than 9000 stations in 600 major cities. Since 16 Nov 2017, data was also downloaded from the new European Air Quality Index (EAQI) website, created by the European Environment Agency (EEA). From the beginning of 2018, data from the public-private service AIRLY was added to the study. They installed four online dust meters in Bialystok. The density of the dust measurement network was still insufficient, so the mobile measurements were started. Recently, the use of a drone equipped with a dust meter for tests at various heights has begun. Measurements denies EAQI presentation of so good air quality in Bialystok. The levels of PM2.5 and PM10 are often much higher than those presented by EAQI and CIEP. Government measuring station, located in the center of Bialystok, poorly reflect air pollution in peripheral districts.

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