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Journal articles on the topic 'Air quality assessment'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

Degtyareva, Ksenia, Vadim Tynchenko, and Svetlana Kukartseva. "Air quality assessment model." E3S Web of Conferences 583 (2024): 02004. http://dx.doi.org/10.1051/e3sconf/202458302004.

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This study examines the application of machine learning methods to predict air quality in Brisbane, Australia. The main attention is paid to the creation of a model capable of predicting the concentration of PM10 suspended particles based on meteorological data. In the course of the work, a statistical analysis of the factors influencing the level of pollution was carried out, and a random forest model was developed and tested. The results showed that the model is able to explain about 69% of the variation in PM10 concentration, and also identified key meteorological parameters such as air temperature and wind speed that have the greatest impact on the concentration of pollutants. The data obtained can be used to improve the monitoring and management of air quality in cities, which in the future may contribute to reducing the harmful effects of pollution on public health.

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2

Luo, Shanshan, Yuru Zhu, and Song Xi Chen. "Episode based air quality assessment." Atmospheric Environment 285 (September 2022): 119242. http://dx.doi.org/10.1016/j.atmosenv.2022.119242.

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3

Cozea, Andreea, Elena Bucur, Carol Blaziu Lehr, Luoana Florentina Pascu, and Gheorghita Tanase. "Bioindicators in Air Quality Assessment." Revista de Chimie 69, no. 11 (2018): 3238–40. http://dx.doi.org/10.37358/rc.18.11.6721.

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The study aims to assess the identification of the specific species of plants for selection of certain plant species and utilization of selected one�s in experimental biomonitoring studies.The purpose of the proposed study was to develop and apply new techniques, methods and methodologies for air quality assessing in the context of climate change and updating of international environmental studys. The novelty of the active biomonitoring method using plants is an innovative research area for the National Research and Development Institute for Industrial Ecology in terms of the use of sentinel species. The first stage research activity was aimed to identify plant species with specific response to certain environmental pollutants, in our case, ozone. By exposing higher plants (from the Solanaceae family) to various environmental conditions, a direct impact measurement of ground-level ozone was considered - as an indicator of environmental pollution (air) - there was a significant difference relationship between soil level ozone variation and foliar necrosis.

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Monteiro, A., A. I. Miranda, C. Borrego, and R. Vautard. "Air quality assessment for Portugal." Science of The Total Environment 373, no. 1 (2007): 22–31. http://dx.doi.org/10.1016/j.scitotenv.2006.10.014.

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5

Rumrill, Jeff N., and Larry W. Canter. "Cumulative air quality effects assessment." Federal Facilities Environmental Journal 11, no. 3 (2000): 19–38. http://dx.doi.org/10.1002/ffej.3330110304.

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6

Rama, Kanth Angatha, and Mehar Arpan. "Assessment of Status of Air Quality in Tirumala Town, India." Journal of Environmental Engineering and Studies 4, no. 1 (2019): 1–8. https://doi.org/10.5281/zenodo.2541508.

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In the current scenario, pollution of air is a relentless problem in all metropolitan regions. The rate of growth in population, industries, thermal power plants and expeditious increase in vehicles is gradually decaying the air quality condition in urban areas. In this context, there is a significant need of continuous monitoring of air quality levels to control the air quality. The present study was accentuated on quantifying the air quality indices for assessing the condition of air in Tirumala town. In this study, the concentrations of various air pollutants for the duration of last three years have been collected and quantified for study area. The Air Quality Index (AQI) and status of air quality have been distinguished over the past years using three empirical methods such as Indian AQI method (IND AQI), United States Environmental Protection Agency method (USEPA) and Average method. This study also diagnosed the seasonal variation of air quality for various seasons in a year. This experimental study showed the air quality is rate is poor in winter when compared to summer and monsoon seasons. This study eventually contended that the status of air quality is declining year by year and in all the years NOX (Nitric Oxide) pollutant is more responsible and hazardous which is mainly emitted in the areas of high motor vehicular traffic.

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Woo, Byung-Lyul, Hyun-Su Lee, Ho-Gi Ahn, et al. "Perceived Air Quality Assessment of Occupants According to Indoor Air Quality." Journal of the Environmental Sciences 20, no. 1 (2011): 61–69. http://dx.doi.org/10.5322/jes.2011.20.1.61.

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Bołzan, Mariusz. "Air Quality Matters: assessment of air quality in typical public places." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 1 (2024): 140–43. http://dx.doi.org/10.15199/48.2024.01.29.

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9

Wang, Litao, Carey Jang, Yang Zhang, et al. "Assessment of air quality benefits from national air pollution control policies in China. Part II: Evaluation of air quality predictions and air quality benefits assessment." Atmospheric Environment 44, no. 28 (2010): 3449–57. http://dx.doi.org/10.1016/j.atmosenv.2010.05.058.

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10

Chen, Yue, Lorraine Craig, and Daniel Krewski. "Air Quality Risk Assessment and Management." Journal of Toxicology and Environmental Health, Part A 71, no. 1 (2008): 24–39. http://dx.doi.org/10.1080/15287390701557479.

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11

Norris, Byron K., Aimee P. Goodier, and Thomas L. Eby. "Assessment of Air Quality During Mastoidectomy." Otolaryngology–Head and Neck Surgery 144, no. 3 (2011): 408–11. http://dx.doi.org/10.1177/0194599810394967.

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12

Gustafson, William I., and L. Ruby Leung. "Regional Downscaling for Air Quality Assessment." Bulletin of the American Meteorological Society 88, no. 8 (2007): 1215–28. http://dx.doi.org/10.1175/bams-88-8-1215.

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Assessing future changes in air quality using downscaled climate scenarios is a relatively new application of the dynamical downscaling technique. This article compares and evaluates two downscaled simulations for the United States made using the fifth-generation Pennsylvania State University–NCAR Mesoscale Model with the goal of understanding how errors in the downscaled climate simulations may introduce uncertainty in air quality assessment. The two downscaled simulations were driven by boundary conditions from the NCEP–NCAR global reanalysis and a global climate simulation generated by the Goddard Institute for Space Studies global circulation model, respectively. Comparisons of the model runs are made against the boundary layer and circulation characteristics of the North American Regional Reanalysis, and also against observed precipitation. The relative dependence of different simulated quantities on regional forcing, model parameterizations, and large-scale circulation provides a framework to understand similarities and differences between model simulations. Results show significant improvements in the downscaled diurnal wind patterns, in response to the complex orography, that are important for air quality assessment. Evaluation of downscaled boundary layer depth and winds, precipitation, and large-scale circulation shows larger biases related to model physics and biases in the GCM large-scale conditions. Based on the comparisons, recommendations are made to improve the utility of downscaled scenarios for air quality assessment.

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13

Belhout, Dalila, Rabah Kerbachi, Helder Relvas, and Ana Isabel Miranda. "Air quality assessment in Algiers city." Air Quality, Atmosphere & Health 11, no. 8 (2018): 897–906. http://dx.doi.org/10.1007/s11869-018-0589-x.

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14

Fassò, Alessandro. "Statistical assessment of air quality interventions." Stochastic Environmental Research and Risk Assessment 27, no. 7 (2013): 1651–60. http://dx.doi.org/10.1007/s00477-013-0702-5.

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15

Norris, Byron K., Aimee P. Goodier, and Thomas L. Eby. "Assessment of Air Quality During Mastoidectomy." Laryngoscope 121, S4 (2011): S193. http://dx.doi.org/10.1002/lary.22075.

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16

Sowlat, Mohammad Hossein, Hamed Gharibi, Masud Yunesian, Maryam Tayefeh Mahmoudi, and Saeedeh Lotfi. "A novel, fuzzy-based air quality index (FAQI) for air quality assessment." Atmospheric Environment 45, no. 12 (2011): 2050–59. http://dx.doi.org/10.1016/j.atmosenv.2011.01.060.

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17

Shihab, Abdulmuhsin. "Assessment of Ambient Air Quality of Mosul City/Iraq Via Air Quality Index." Journal of Ecological Engineering 22, no. 10 (2021): 241–50. http://dx.doi.org/10.12911/22998993/142448.

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18

Ravinder, R., R. Kesavan, and P. Thilagaraj. "Assessment of Air Quality in Commercial Places of Chennai through Air Quality Index." Advanced Materials Research 984-985 (July 2014): 1190–94. http://dx.doi.org/10.4028/www.scientific.net/amr.984-985.1190.

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Air quality indices are used for local and regional air quality management in many metro cities of the world. The present investigation was carried out to find the significance of air pollutant concentrations at commercial areas of Chennai. Suspended Particulate Matter (SPM), Respirable Suspended Particulate Matter (RSPM), Sulphur dioxide (SO2) and Oxides of nitrogen (NOX) were analyzed over two sites namely T.Nagar and Kilpauk in Chennai. Both the sampling stations selected are located in commercial areas. Several concepts and indicators exist to measure and rank the urban areas in terms of their socio-economic infrastructure and environment related parameters. In this paper an air quality index (AQI) considering the combined level of three criteria pollutants (oxides of nitrogen, sulphur dioxide, and Respirable suspended particulate matter ) is proposed.

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19

Shihab, Abdulmuhsin. "Assessment of Air Quality through Multiple Air Quality Index Models – A Comparative Study." Journal of Ecological Engineering 24, no. 4 (2023): 110–16. http://dx.doi.org/10.12911/22998993/159398.

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20

Park, Junheung, Eunhye Kim, Yoon-Hee Kang, and Soontae Kim. "Assessment of Provincial Air Quality based on Air Quality Index during 2016~2022." Journal of Korean Society for Atmospheric Environment 40, no. 2 (2024): 225–41. http://dx.doi.org/10.5572/kosae.2024.40.2.225.

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21

Park, Junheung, Eunhye Kim, Yoon-Hee Kang, and Soontae Kim. "Assessment of Provincial Air Quality based on Air Quality Index during 2016~2022." Journal of Korean Society for Atmospheric Environment 40, no. 2 (2024): 225–41. http://dx.doi.org/10.5572/kosae.2024.04.40.2.225.

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22

CARTALIS, CONSTANTINOS, and MICHAEL PETRAKIS. "ASSESSMENT OF AIR QUALITY AT THE EUROPEAN SCALE: EXISTING STATUS, RECOMMENDATIONS AND PRIORITIES." Journal of Environmental Assessment Policy and Management 04, no. 01 (2002): 101–17. http://dx.doi.org/10.1142/s1464333202000887.

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The scope of this paper is to describe the existing problems with respect to the lack of a harmonised assessment approach for air quality, and to provide general recommendations and priorities for an assessment approach at the European scale. Taken that the approach for assessment may diverge among the European countries and the players involved, recommendations are general and aim at providing the overall framework on the basis of which the formulation of specific assessment approaches could be worked out. The starting point for the paper is a synopsis of the characteristics of air quality assessments, as well as of the drawbacks for a harmonised assessment approach at the European scale. The assessment of air quality is then described in relation to sources as well as to effects. At a final stage the assessment goals are recognised and the link between air quality assessment and integrated assessment is also discussed.

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23

Maggos, Thomas. "Advances in Air Quality Monitoring and Assessment." Applied Sciences 11, no. 13 (2021): 5817. http://dx.doi.org/10.3390/app11135817.

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24

Feng, Ching-An. "Indoor Air Quality Assessment of Coffee shop." ISEE Conference Abstracts 2013, no. 1 (2013): 4024. http://dx.doi.org/10.1289/isee.2013.p-3-16-20.

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25

Abu Mansor, Amalina, Ain Natasha Badrul Hisham, Samsuri Abdullah, Nur Nazmi Liyana Mohd Napi, Ali Najah Ahmed, and Marzuki Ismail. "Indoor-Outdoor Air Quality Assessment in Nurseries." IOP Conference Series: Earth and Environmental Science 616 (December 30, 2020): 012001. http://dx.doi.org/10.1088/1755-1315/616/1/012001.

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26

Pitrone, N., S. Graziani, S. Baglio, and B. Ando. "Models for air quality management and assessment." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 30, no. 3 (2000): 358–63. http://dx.doi.org/10.1109/5326.885117.

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27

Navi Anwar, Gulshan Taj Mohammed, Hari poornima Gunasekar, Joyce Krishnan, and Ramya Sekar. "Air quality monitoring and assessment using IoT." IOP Conference Series: Materials Science and Engineering 955 (November 21, 2020): 012006. http://dx.doi.org/10.1088/1757-899x/955/1/012006.

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28

Marshall, Julian D. "Exposure Assessment for Improved Air Quality Management." Epidemiology 22 (January 2011): S181—S182. http://dx.doi.org/10.1097/01.ede.0000392235.98789.fd.

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29

Wagdi, Dalia, Khaled Tarabieh, and Mohamed Nagib Abou Zeid. "Indoor air quality index for preoccupancy assessment." Air Quality, Atmosphere & Health 11, no. 4 (2018): 445–58. http://dx.doi.org/10.1007/s11869-018-0551-y.

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30

Clark, Alistair I., Alun E. McIntyre, John N. Lester, and Roger Perry. "Air quality impact assessment at an airport." Environmental Pollution Series B, Chemical and Physical 9, no. 1 (1985): 1–27. http://dx.doi.org/10.1016/0143-148x(85)90037-0.

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31

Wei, Meng‐Shiun. "Air quality assessment at hazardous waste sites." Journal of Environmental Science and Health . Part A: Environmental Science and Engineering and Toxicology 30, no. 7 (1995): 1543–47. http://dx.doi.org/10.1080/10934529509376284.

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32

Baptista, Teresa, Marina Almeida-Silva, Dário Silva, Carlos Diogo, and Nuno Canha. "Indoor Air Quality Assessment in Grocery Stores." Applied Sciences 12, no. 24 (2022): 12940. http://dx.doi.org/10.3390/app122412940.

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Indoor Air Quality (IAQ) is a public and occupational health concern, as we are exposed to air pollutants daily given that we spend a great amount of our time in indoor environments. IAQ can be affected by numerous factors, from outdoor pollutants that get indoors through ventilation to building materials, furnishings, and activities carried by the building occupants. Exposure to air pollutants has been linked to a panoply of adverse effects on our health, well-being, and performance. The aim of this study was to assess the IAQ in grocery stores (GSs) in the municipality of Cascais in the Lisbon metropolitan area (Portugal) to characterize the workers’ occupational exposure to air pollutants. The study was conducted in 13 small “family” grocery stores. The IAQ monitoring campaign was conducted using low-cost sensor technologies and focused on several parameters, namely: carbon dioxide (CO2), volatile organic compounds (VOCs), particulate matter (PM10 and PM2.5), temperature (T), and relative humidity (RH). Overall, the IAQ of the studied GSs complied with Portuguese legislation, except for PM2.5, where 23% of GSs presented levels above the established limit value. The mean inhaled dose of workers during a workday was estimated to be 157.7 ± 57.2 μg for PM2.5 and 165.8 ± 56.0 μg for PM10. The IAQ assessment allowed the identification of the best strategies to improve worker experience in indoor workplace environments.

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33

Badjoudj, Salem, Aissa Benselhoub, Souad Narsis, et al. "Assessment of air quality index in Annaba." Technology audit and production reserves 4, no. 3(72) (2023): 24–32. http://dx.doi.org/10.15587/2706-5448.2023.284841.

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In recent years, the world has been witnessing serious ecological imbalances due to the catastrophic situation and the damage caused to the environment. Human activities as waste disposal, cement units, smelting, chemical industries etc., are the main causes of pollution. Air pollution directly affects the human living standards, pollutants requires regular control in view of their direct impact on health, such as nitrogen oxide, sulfur dioxide, ozone, and particulate matter. Algeria adopts international standards to monitor the levels of pollution recorded in Algerian cities and compare them with global levels. Thus, the object of this study was the air quality index (AQI) in Annaba (Northeastern of Algeria). This study aimed to evaluate AQI in Annaba. In this context, quantitative estimates of polluted waste resulting from some industrial activities have been conducted in order to determine the degree of its danger and the extent of its contribution to the deterioration of the air quality. The monitoring of pollutants allowed to identify the benefits of comprehensive environmental assessment. The air quality index was determined using various pollutants parameters (dust, ozone, nitrogen dioxide and sulfur dioxide). A ten-point scale ranking of the overall air quality index of pollution accepted in Algeria allows making the differentiated assessment of negative impacts of existing industrial agglomerations on the environment. However, the analysis performed on samples DC1 and DC2 with SEM (TESCAN model VEGA II) and BSE detector (Backscattered Electrons) shows that the particles sizes are estimated to range from hundreds of microns to a few microns, a different morphology and irregular shape. Our results will enable policy makers to appropriate measures to be taken, and which are based mainly on sensitizing economic operators to environmental issues in order to adopt an environmentally friendly industrial system.

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Sandeep Gawade Amey, Tayade. "Assessment of Ambient Air Quality Using Air Quality Index: A Case Study for Urban and Rural Area in Palghar District of Maharashtra (India)." International Journal of Science and Research (IJSR) 12, no. 4 (2023): 1800–1806. http://dx.doi.org/10.21275/sr23424144257.

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35

Mohamed Balah, Eman, Hassan Shokry, Aya Hagishima, and Hatem Mahmoud. "Ventilation Quality Assessment of Dual Courtyard Configuration." Journal of Physics: Conference Series 2754, no. 1 (2024): 012015. http://dx.doi.org/10.1088/1742-6596/2754/1/012015.

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Abstract Maintaining air quality within building spaces is a challenge under the increased pollutants resources. The optimization of the courtyard building layout toward natural ventilation has emerged as a critical factor in shaping air quality conditions. This study delves into the assessment of outdoor air quality infiltration within a dual courtyard typology characterized by varying proportions and orientations for both the connecting link and openings. To comprehensively analyse air quality within these integrated courtyards, a combination of on-site particle dispersion measurements and flow pattern simulations were employed. The outcomes of this investigation highlight the pronounced impact of atmospheric conditions, particularly wind direction, on the performance of courtyard configurations. The results revealed that dual courtyard provide an approach to address the geometric conflict between thermal comfort and air quality optimization. Even in circumstances with limited flow velocity, the direct connection between courtyards deepens the upward recirculating flow into the courtyard cavity at the activity level. The optimal air quality is attained by planning each courtyard’s upper-level intake and outflow openings, as it provides an evacuation flow out of court cavity and decline the PNC than outside surrounding conditions.

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36

Thongsumrit, Jitvisut, Somporn Chantara, Warangkana Naksen, Susira Bootdee, Mallika Payam, and Wan Wiriya. "Indoor air quality assessment to design a model for indoor air quality management and health impact assessment in Northern Thailand." E3S Web of Conferences 396 (2023): 01096. http://dx.doi.org/10.1051/e3sconf/202339601096.

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Indoor air quality (IAQ) has become an important area of concern these days and tends to be more serious to human health as well as resident convenience, especially in smoke haze season (February - April) in Upper Northern Thailand (UNT). Indoor air monitoring and model development for controlling the air quality indoors is necessary for all buildings, particularly in urban areas and polluted areas. This study aims i) to study indoor air quality, ii) to assess health impacts and factors related to indoor air quality, and iii) to develop an effective model for controlling indoor air quality in Sub-district Health Promoting Hospital (HP) and Early Childhood Development Center (ED). Temperature, relative humidity, air movement, PM2.5, PM10, Carbon Dioxide (CO2), Carbon Monoxide (CO), Ozone (O3), Formaldehyde (CH2O), Total Volatile Organic Compound (TVOC), Total bacterial and fungal were used to evaluate indoor air quality. It was found that PM2.5 and PM10 concentrations in all buildings exceeded indoor air quality standards. Moreover, CO2 concentration was higher than recommended levels, especially during the daytime. HP and ED found high values of total bacteria and total fungi, which were higher than recommended level. The indoor air quality management model of a clean room that involved with the calculation of total airflow in cubic feet per hour was created and a specific size of air cleaner for the room was selected. The results showed that PM2.5 and PM10 concentrations including other parameters of the selected rooms were reduced to the recommended levels after implementing the rooms. This result indicated the effectiveness of developing an indoor air quality management model. Thus, this model can be used as a successful study case for other HP and ED, leading to a positive impact on building occupant health.

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Crabbe, H., R. Beaumont, and D. Norton. "Local air quality management: a practical approach to air quality assessment and emissions audit." Science of The Total Environment 235, no. 1-3 (1999): 383–85. http://dx.doi.org/10.1016/s0048-9697(99)00241-7.

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38

Kassomenos, P. A., A. Kelessis, M. Petrakakis, N. Zoumakis, Th Christidis, and A. K. Paschalidou. "Air quality assessment in a heavily polluted urban Mediterranean environment through air quality indices." Ecological Indicators 18 (July 2012): 259–68. http://dx.doi.org/10.1016/j.ecolind.2011.11.021.

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39

Nagendra, S. M. Shiva, K. Venugopal, and Steven L. Jones. "Assessment of air quality near traffic intersections in Bangalore city using air quality indices." Transportation Research Part D: Transport and Environment 12, no. 3 (2007): 167–76. http://dx.doi.org/10.1016/j.trd.2007.01.005.

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40

Yang, Zhongshan, and Jian Wang. "A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction." Environmental Research 158 (October 2017): 105–17. http://dx.doi.org/10.1016/j.envres.2017.06.002.

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41

Xu, Qingwei, and Kaili Xu. "Assessment of air quality using a cloud model method." Royal Society Open Science 5, no. 9 (2018): 171580. http://dx.doi.org/10.1098/rsos.171580.

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To effectively control air pollution, it is necessary to obtain a preliminary assessment of air quality. The purpose of this study was to introduce a cloud model method in air pollution assessment. First, the standard cloud models of air pollution indicators were obtained, and the calculating process of numerical characteristics employed by the standard cloud model was explained. Second, the levels of air pollution indicators were presented based on the qualitative and quantitative analysis of cloud models, which realized the uncertainty conversion between qualitative concepts and their corresponding quantitative values, as well as taking the fuzziness and randomness into account. Air quality assessment results including SO 2 , NO 2 , CO, O 3 , PM 10 and PM 2.5 were analysed. Third, the cloud model adopted in the assessment process of air quality was validated by grey relational analysis, and the results confirmed the validity of cloud model assessment. Fourth, the air pollution level of the air quality index (AQI) was determined, and the fuzziness and randomness of the assessment results were thoroughly analysed by taking entropy and hyper entropy into consideration. Fifth, seasonal variations in different air pollution indicators were analysed to proffer a series of recommendations for government policy decision-makers and travellers. The cloud model provided a new method for air quality assessment.

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42

Sengani, Pratik D., Rachna Chandra, and Gaurav Agarwal. "Ambient Air Quality Assessment through Air Quality Index and Air Quality Health Index for Eastern Coastal Region, Gandhidham, Gujarat, India." International Journal of Environment and Climate Change 14, no. 4 (2024): 692–707. http://dx.doi.org/10.9734/ijecc/2024/v14i44151.

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The impact of coastal developmental projects such as ports on regional air quality has been a matter of concern, as they are known to induce rapid industrialization and urbanization as collateral development on a long-term basis. Gandhidham-Kachchh, Gujarat, India is hub for industrialization, thus various developmental activities and port activities may release toxic gases into the environment. Thus, an attempt was made to assess the present ambient air quality in and around eastern coastal region of Gandhidham, Gujarat using Air Quality Index (AQI) and Air Quality Health Index (AQHI). The primary focus was on respirable particulate matter (PM10) and fine particulate matter (PM2.5) along with other gaseous pollutants. In total 134 samples were collected from 11 stations during January to December 2018. Sampling was carried out 24 hourly on a monthly basis. Respirable particulate matter (PM10), fine particulate matter (PM2.5), sulphur dioxide and nitrogen dioxide ranged from 29-401 µg/m3, 13-184 µg/m3, 5.9-92.6 µg/m3and 3.7-33 µg/m3, respectively. The annual mean concentrations varied from 118-227 µg/m3, 47-82 µg/m3, 10-51 µg/m3, 11-41 µg/m3 for PM10, PM2.5, sulphur dioxide and nitrogen dioxide, respectively. In most of the sampling locations both the particulate matter fractions exceeded the permissible limit as prescribed in National Ambient Air Quality Standard (NAAQS). The AQI ranged from 28 to 106, which falls under Good and Satisfactory category of pollution as per the Central Pollution Control Board (CPCB) standards except at A-11 which falls under Moderate category. The AQHI was in the range of 5.9 to 15.8, which was alarming indicating Moderate to Very Higher Risk to the people. The present findings throw light on the prevailing scenario in the ambient air quality of the studied region, thereby suggesting for strict implementation and thorough control measures for reduction of particulate matters in the air.

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43

Gupta, Tripti, Khushi Ramawat, Ratnam Sharma, and Naina Sharma. "Air Quality Index Assessment Of An Educational Organization." IOP Conference Series: Earth and Environmental Science 1326, no. 1 (2024): 012139. http://dx.doi.org/10.1088/1755-1315/1326/1/012139.

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Abstract Uncontaminated and fresh air is an elementary prerequisite of every living being. But, in this day and age, atmosphere contamination-is certainly the most pervasive kind of environmental-degradation. In the ambience, there are several pollutants which have widespread causing contamination in the air. Pollutants of chief concern include gaseous pollutants like carbon monoxide, ozone, oxides of sulphur and nitrogen, lead etc. These are primary pollutants. Secondary pollutants are particulate matters of different types ranging from fine to high. Every single one of these pollutants can cause a severe menace to human-health. In the current research, sensor-based equipments have been used to monitor and measure the concentration of various pollutants in the air. In the present research work, the effect of different pollutants like PM2.5, PM10, NO2 C02, TVOC, H-CHO, Temperature, Humidity and Noise on air pollution at five stations in the education institute namely RCOEM campus is studied and presented. It had been observed that air pollutants like PM2.5, PM10, and NO2 primarily affected the air quality of RCOEM campus. So, these pollutants are mainly considered to monitor and evaluate air quality of RCOEM campus. After evaluation, air quality index of RCOEM campus was found to be around 94.5. It is within the range of 51-100. So, its falls in the range of satisfactory as per standard norms of central pollution control board and state pollution control board in terms of quality of the air and thereby its contamination.

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Hossen, M. A., S. K. Pal, and A. Hoque. "Assessment of Air Quality for Selected Locations in Chittagong City Corporation Area, Bangladesh." International Journal of Innovative Research in Engineering & Management 5, no. 4 (2018): 121–28. http://dx.doi.org/10.21276/ijirem.2018.5.4.1.

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Yaqub, G., A. Hamid, and S. Asghar. "Rain water quality assessment as air quality indicator in Pakistan." Bangladesh Journal of Scientific and Industrial Research 54, no. 2 (2019): 161–68. http://dx.doi.org/10.3329/bjsir.v54i2.41673.

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Rain is an effective way for removing pollutants from the atmosphere. The present study was initiated to determine rain water quality for its safe use as potable water, as well as a tool for indirect evaluation of air quality of different study areas. A total of 20 rain water samples were collected from areas including Kasur, Sheikhupura, Gujranwala and Lahore. The pH (5.49 + 0.323), turbidity (12.267 + 5.933NTU), Cl- (4785 + 1458.32ppm) and F- (16.44 + 4.52ppm) contents of samples are not in compliance with drinking water quality limits (Pakistan, WHO). Average sulphate (1.396 + 0.384 ppm) and NO3 − concentrations (52.35 + 12.11ppm) varied between 1.005-2.05ppm and 36.79-81.3ppm, respectively. Heavy metals analysis showed presence of Cu, Co, Mn and Zn concentrations below WHO limits while Cd and Pb concentrations exceeded WHO limits with values ranging between 0.005ppm-0.017ppm and 19ppm-254ppm, respectively . Findings indicate that rain water can provide an insight into the air quality of an area and its potential use as an alternative to drinking water, especially in areas of short domestic water supply. Bangladesh J. Sci. Ind. Res.54(2), 161-168, 2019

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Sokhi, Ranjeet S., Hongjun Mao, Srinivas T. G. Srimath, et al. "An integrated multi-model approach for air quality assessment: Development and evaluation of the OSCAR Air Quality Assessment System." Environmental Modelling & Software 23, no. 3 (2008): 268–81. http://dx.doi.org/10.1016/j.envsoft.2007.03.006.

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Wang, Wei, Zhuang Yu, Hui Zhang, and Hai Tao Wang. "Assessment of Indoor Air Quality Using Different Air-Condition for Cooling." Advanced Materials Research 518-523 (May 2012): 910–13. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.910.

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Based on observation of characteristics of NAI concentration of part of an office-building in Shenzhen, air quality of different equipments for cooling were assessed using ion polarity ratio (q) and air ion assessment index (CI). The result show that the air cleanness degree of the natural ventilation indoor is better than mechanical ventilation, using renewable energy for cooling is better than normal air-conditioning, and placed the negative ion generator has improved indoor air quality significantly. So the authors suggest to take NAI concentration as a monitoring and assessment indicators of the indoor environment, so as to provide a scientific basis and design concept for energy planning and environmental protection in the future.

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Hui, P. S., L. T. Wong, and K. W. Mui. "An Epistemic Indoor Air Quality Assessment Protocol for Air-Conditioned Offices." Indoor and Built Environment 16, no. 2 (2007): 139–47. http://dx.doi.org/10.1177/1420326x07076503.

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Mui, K. W., W. Y. Chan, L. T. Wong, and P. S. Hui. "Fungi — an indoor air quality assessment parameter for air-conditioned offices." Building Services Engineering Research and Technology 28, no. 3 (2007): 265–74. http://dx.doi.org/10.1177/0143624407081507.

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Svitlana, Delehan-Kokaiko, Glyudzyk Emilia, and Symkanuch Olesya. "Integrated assessment of atmospheric air pollution by the example of the city of Uzhhorod (Ukraine)." Technology Audit and Production Reserves 4, no. 3(60) (2021): 27–31. https://doi.org/10.15587/2706-5448.2021.238527.

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<em>The object of research is the processes of transformation of the ecological equilibrity of the structural and functional state of atmospheric air </em><em>by the example of the city of Uzhhorod (Ukraine)</em><em>, as the border area, and the impact on the health of the population.</em> <em>One of the most problematic issues is the imperfection of methods for assessing the quality of air and its impact on the health of the population.</em> <em>During the study, data from the Transcarpathian Regional Center of Hydrometeorology were used, the materials of statistical reporting of enterprises, the urban sanitary and epidemiological station, etc. Data is obtained relating to</em><em> the influence of automobile transport in Uzhhorod, Transcarpathian region, on the quality of atmospheric air, as well as the negative consequences of the impact of excessive concentrations of pollutants in the air on the health of inhabitants of urbanized territories. The authors analyze the data on the concentrations of certain air quality parameters in 2019 and 2020. The ways to improve the ecological situation in Uzhhorod have been suggested, and the necessity of developing public control of air quality to preserve the health of Uzhhorod residents has been substantiated.</em> <em>Due to the introduction of the proposed ways to improve the environmental situation in Uzhhorod, an increase in the living conditions of the population of border areas, in particular, Uzhhorod, improving the quality of atmospheric air of the investigated territories will be achieved. It is indicated to develop proposals for improving the methods of quality control of atmospheric air of border areas that will correspond to the standards of the European Union. This study is global due to the shapes of modern anthropogenic pressure, spontaneity, impulsivity and comprehensive validity of numerous factors implemented against the background of climate change. And it is requires new approaches in the scientific principles of organization of nature management, which will be based on an ecosystem approach in identifying and establishing biosafety of existing and latest pollutants</em>

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