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Journal articles on the topic 'Air pollution modelling and control'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Er., DARAPU SRIKANTH SATISH KUMAR, P.V.V. SATYANARAYANA Prof., and B. VIJAYA SARADHI Prof. "AIR POLLUTION MODELLING-SOFTWARE – A REVIEW." International Journal of Advances in Engineering & Scientific Research 1, no. 4 (2014): 70–74. https://doi.org/10.5281/zenodo.10720441.

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                     Applications of various air pollution modeling software like  MEASURE, COLE, OFFROAD, URBEMIS, MOBILE, PART5, MOBTOX, SPOT, PEMS, OEMS, EMFAC series of models have been discussed in this paper.   <strong>Keywords: </strong>Fuel Efficiency Automobile Test (FEAT), Geographic Information System (GIS), Traffic Control Management Systems (TCMS), Transportation Improvement Plans (TIPs), New Generation Models (NGMs), Remote Sensing Devices (RSDs).     

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Colette, A., B. Bessagnet, F. Meleux, and L. Rouïl. "Frontiers in air quality modelling." Geoscientific Model Development Discussions 6, no. 3 (2013): 4189–205. http://dx.doi.org/10.5194/gmdd-6-4189-2013.

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Abstract. The first pan-European kilometre-scale atmospheric chemistry simulation is introduced. The continental-scale air pollution episode of January 2009 is modelled with the CHIMERE offline chemistry-transport model with a massive grid of 2 million horizontal points, performed on 2000 CPU of a high performance computing system hosted by the Research and Technology Computing Center at the French Alternative Energies and Atomic Energy Commission (CCRT/CEA). Besides the technical challenge, we find that model biases are significantly reduced, especially over urban areas. The high resolution g

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3

Finzi, G., and G. Guariso. "Optimal air pollution control strategies: a case study." Ecological Modelling 64, no. 2-3 (1992): 221–39. http://dx.doi.org/10.1016/0304-3800(92)90116-v.

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Zhu, Wei, Shaonan Shan, Xiaohui Shi, and Hui Li. "Research on the Establishment and Stability of the Beijing-Tianjin-Hebei Region Air Pollution Cooperative Control Alliance: An Evolutionary Game Approach." Discrete Dynamics in Nature and Society 2021 (September 2, 2021): 1–18. http://dx.doi.org/10.1155/2021/1179351.

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Air pollution control refers to a vital issue in the integrated and coordinated development of the Beijing-Tianjin-Hebei region. As impacted by the fluidity of air pollution, air pollution control cannot be achieved independently by a single local government in the Beijing-Tianjin-Hebei region, and a long-term mechanism should be established for regional coordination and cooperative control. However, in the pursuit of maximising benefits by the participating parties, difficulties in effective coordination between the various control bodies occurred and a dilemma was created in the cooperative

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Zayed, Roba, and Maysam Abbod. "Breathable Cities: Dynamic Machine Learning Modelling Approaches for Advanced Air Pollution Control." Applied Sciences 14, no. 13 (2024): 5581. http://dx.doi.org/10.3390/app14135581.

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This paper discusses air quality index (AQI) representation using a fuzzy logic framework to cover the blurry areas of AQI where indices are in between ranges of values. After studying several standards for air quality prediction (AQP), this research suggested the use of fuzzy logic as an extended method to cover some limitations found in several standards, in which the fuzzy logic represents a more dynamic way to support cross-country comparisons as well. This research expanded upon the United States Environmental Protection Agency (USEPA) standards to address their acknowledged limitations b

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Das, Sukanya, MN Murty, and Kavita Sardana. "Using Economic Instruments to Fix the Liability of Polluters in India." Ecology, Economy and Society–the INSEE Journal 4, no. 2 (2021): 45–64. http://dx.doi.org/10.37773/ees.v4i2.363.

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This review paper highlights the informational requirements for the effective use of environmental policy instruments to achieve ambient standards of pollution in India. A section on the Integrated Urban Air Pollution Assessment Model is attempted to identify data requirements for, and information gaps associated with, using these instruments. We review the available information and identify informational gaps that thwart the realization of ambient standards of environmental quality. In India, command-and-control instruments are arbitrarily used to assign liability without taking cognizance of

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Chaulya, S. K., A. K. Singh, T. B. Singh, et al. "Modelling for Air Quality Estimation for a Planned Coal Washery to Control Air Pollution." Environmental Modeling & Assessment 25, no. 6 (2020): 775–91. http://dx.doi.org/10.1007/s10666-020-09721-x.

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Mohamed, Ghada Osama, Maher Elsayed Saleh, Elsayed Ahmed Shalaby, and Ahmed Samir Elsafty. "Using biochar to control nitric oxide air pollution." Journal of Physics: Conference Series 2305, no. 1 (2022): 012029. http://dx.doi.org/10.1088/1742-6596/2305/1/012029.

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Abstract This study deals with the ability of Rice Husk Biochar (RHB) to adsorb and reduce the concentration of 90 ppm Nitric Oxide (NO) gas which passed through it with a 1.2 liter/min flow rate within 8 minutes. The characteristics of biochar before and after adsorption were studied by SEM, EDAX, and FTIR analyses. To study the effect of different factors on adsorption the effect of manufacturing temperatures of biochar was studied by using two degrees 450 °C and 500 °C. It has also been measured the effect of biochar particles size using two types of size, coarse (C) and fine (F). The effec

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Bekesiene, Svajone, and Ieva Meidute-Kavaliauskiene. "Artificial Neural Networks for Modelling and Predicting Urban Air Pollutants: Case of Lithuania." Sustainability 14, no. 4 (2022): 2470. http://dx.doi.org/10.3390/su14042470.

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This study focuses on the Vilnius (capital of Lithuania) agglomeration, which is facing the issue of air pollution resulting from the city’s physical expansion. The increased number of industries and vehicles caused an increase in the rate of fuel consumption and pollution in Vilnius, which has rendered air pollution control policies and air pollution management more significant. In this study, the differences in the pollutants’ means were tested using two-sided t-tests. Additionally, a 2-layer artificial neural network and a pollution data were both used as tools for predicting and warning ai

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Rabbani, Sana, and Fasih Ahmed. "Ecological modelling: A computational analysis of air pollution discourses in English print media of India and Pakistan." PLOS ONE 20, no. 2 (2025): e0315087. https://doi.org/10.1371/journal.pone.0315087.

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The present study investigates air pollution dynamics through newspaper discourse in India and Pakistan, where both countries rank among the top five countries affected by air pollution. The study focused on newspaper discourses over almost two decades (2005–2023). The study applied Latent Dirichlet Allocation (LDA), a robust algorithm for analyzing the large text corpus. The study underpinned Computational Grounded Theory, which relies on the fact that computation is a way to reveal the hidden meanings beyond the text. The LDA-generated topics reveal that both countries face the toxicological

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Issakhov, Alibek, and Aiymzhan R. Baitureyeva. "Numerical modelling of a passive scalar transport from thermal power plants to air environment." Advances in Mechanical Engineering 10, no. 10 (2018): 168781401879954. http://dx.doi.org/10.1177/1687814018799544.

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The number of thermal power plants is growing due to the industry development and the growth of energy consumption. This leads to an increase in harmful emissions in the atmosphere. There is a necessity to control the emission concentration level in the areas of power plants location. The aim of this work was to study the level of pollution concentration at different distances from the source. The mathematical model and the numerical algorithm were verified by solving test problems and comparing them with the experimental data and numerical results of other authors. Furthermore, the pollution

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Cocks, A. T., I. R. Rodgers, R. A. Skeffington, and A. H. Webb. "The limitations of integrated assessment modelling in developing air pollution control policies." Environmental Pollution 102, no. 1 (1998): 635–39. http://dx.doi.org/10.1016/s0269-7491(98)80092-4.

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Wangintan, Roy, Moh Yani, Hartrisari Hardjomidjojo, and Tania June. "Evaluation of Air Pollution Control Management In Jakarta by Crossed-Impact Matrix Multiplications Applied to Classification (MICMAC)." IOP Conference Series: Earth and Environmental Science 1358, no. 1 (2024): 012044. http://dx.doi.org/10.1088/1755-1315/1358/1/012044.

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Abstract The rapid activity in Jakarta due to high economic growth increases air pollution, which impacts health problems and environmental, social, and ecological disturbances. The research objectives are to determine factors for controlling air pollution, score and evaluate the matrix of direct influence (MDI), draw a direct and indirect influence graph, and make rating and classification comparisons. The information collection was carried out by applying the Center Gather Dialog strategy to decide the factors that impact contamination control. Information evaluation was carried out utilizin

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Bakulich, Olena, Evgeny Samoilenko, and Yuriy Peskovets. "METHODOLOGY FOR ASSESSING THE LEVEL OF ATMOSPHERIC POLLUTION BY ROAD TRANSPORT IN THE PROJECTS OF MANAGEMENT OF ENVIRONMENTAL STATE OF A CITY." Economic Profile 18, no. 1(25) (2023): 25–29. http://dx.doi.org/10.52244/ep.2023.25.12.

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The level of environmental pollution is the main criterion that determines the quality of living conditions in cities. One of the most dangerous environmental problems of cities that affects the health of the population is atmospheric air pollution by road transport. In the city of Kyiv, the total volume of pollutant emissions from stationary sources in 2020 amounted to 25.5 thousand tons, from mobile sources almost 9 times more – 225.8 thousand tons. The comprehensive air pollution index (API) is used to characterize air quality in cities which allows you to determine how many times the total

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Croitoru, Cristiana, and Ilinca Nastase. "A state of the art regarding urban air quality prediction models." E3S Web of Conferences 32 (2018): 01010. http://dx.doi.org/10.1051/e3sconf/20183201010.

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Urban pollution represents an increasing risk to residents of urban regions, particularly in large, over-industrialized cities knowing that the traffic is responsible for more than 25% of air gaseous pollutants and dust particles. Air quality modelling plays an important role in addressing air pollution control and management approaches by providing guidelines for better and more efficient air quality forecasting, along with smart monitoring sensor networks. The advances in technology regarding simulations, forecasting and monitoring are part of the new smart cities which offers a healthy envi

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Budianu, Mihaela, Valeriu Nagacevschi, and Matei Macoveanu. "MODELLING AND SIMULATION OF DISPERSIONS OF POWDER EMISSIONS FROM MULTIPLE SOURCES WITH THE MATHEMATICAL MODEL POL 15SM." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 22, no. 2 (2014): 151–60. http://dx.doi.org/10.3846/16486897.2013.821068.

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Over the last decades, air pollution has become one of the greatest challenges negatively affecting human health and the entire environment, including air, water, soil, vegetation, and urban areas. Lately, special attention has been given to mathematical modelling for diffusion of pollutants in the atmosphere as a particularly effective and efficient method that can be used to study, control and reduce air pollution. The diversity of models developed by different research groups imposed a rigorous understanding of model types in order to apply them correctly according to local or regional prob

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Raos, Miomir, Ljiljana Zivkovic, Amelija Djordjevic, and Branislav Todorovic. "Modelling of the filter-adsorber type air cleaner by using neural network." Facta universitatis - series: Physics, Chemistry and Technology 7, no. 1 (2009): 23–31. http://dx.doi.org/10.2298/fupct0901023r.

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It is well known that most air purifying methods imply the passing of air flow, as a pollutant carrier, through a control unit which retains impurities. Properties of the air control unit and the purifying process itself therefore differ depending on the nature of present impurities, as well as on flow-thermal properties of air as the carrier of those impurities. For the assumed conditions, in terms of production of a pollution source and presence of different polluting substances in the form of dust, aerosols, gas, vapor in the exhaust gas, etc., an integrated gas purifier has been designed a

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Manco-Perdomo, L. A., L. A. Pérez-Padilla, and C. A. Zafra-Mejía. "Intervention analysis with autoregressive integrated moving average models for time series of urban air pollutants." Journal of Physics: Conference Series 2139, no. 1 (2021): 012002. http://dx.doi.org/10.1088/1742-6596/2139/1/012002.

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Abstract The objective of this paper is to show an intervention analysis with autoregressive integrated moving average models for time series of air pollutants in a Latin American megacity. The interventions considered in this study correspond to public regulations for the control of urban air quality. The study period comprised 10 years. Information from 10 monitoring stations distributed throughout the megacity was used. Modelling showed that setting maximum emission limits for different pollution sources and improving fuel were the most appropriate regulatory interventions to reduce air pol

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19

Panagi, Marios, Zoë L. Fleming, Paul S. Monks, et al. "Investigating the regional contributions to air pollution in Beijing: a dispersion modelling study using CO as a tracer." Atmospheric Chemistry and Physics 20, no. 5 (2020): 2825–38. http://dx.doi.org/10.5194/acp-20-2825-2020.

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Abstract. The rapid urbanization and industrialization of northern China in recent decades has resulted in poor air quality in major cities like Beijing. Transport of air pollution plays a key role in determining the relative influence of local emissions and regional contributions to observed air pollution. In this paper, dispersion modelling (Numerical Atmospheric Modelling Environment, NAME model) is used with emission inventories and in situ ground measurement data to track the pathways of air masses arriving in Beijing. The percentage of time the air masses spent over specific regions duri

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20

Khan, Sarah, Quamrul Hassan, Kaushal Kumar, et al. "Modelling the Impact of Road Dust on Air Pollution: A Sustainable System Dynamics Approach." E3S Web of Conferences 430 (2023): 01176. http://dx.doi.org/10.1051/e3sconf/202343001176.

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Road dust contributes significantly to air pollution by releasing fine particulate matter (PM) and other pollutants into the air, which can cause respiratory and cardiovascular problems and premature death. This dust is generated through the wear and tear of vehicle tires and road surfaces, as well as the accumulation of dirt and debris on the road, primarily from construction activities and cargo trucks carrying building materials. Wind, weather conditions, and vehicle movement play crucial roles in the distribution and concentration of these particles in the air. To address this issue, this

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21

Dr., Biswajit Biswas. "Autism Screening using Deep Learning." Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) 3, no. 4 (2023): 7–13. https://doi.org/10.54105/ijainn.D1066.063423.

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<strong>Abstract: </strong>Timely and accurate forecasting of Air Quality Index (AQI) helps the Industries to select suitable control of air pollution measures. It helps people to reduce exposure in pollution. In this present age Air quality Index is one of the burning issues in India. The air contaminations are harmful for our biological system and also for the climate. To keep up the best air quality cross the country different types of air toxins are estimated through the air quality measuring standards. The aim of this research work is modelling air quality of a location with respect to ti

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Biswas, Dr Biswajit, and Sayantan Ghosh. "Is the Ecosystem of Kolkata Sustainable?: Machine Learning Based Study on Air Quality Index." Indian Journal of Artificial Intelligence and Neural Networking 3, no. 4 (2023): 7–13. http://dx.doi.org/10.54105/ijainn.d1066.063423.

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Timely and accurate forecasting of Air Quality Index (AQI) helps the Industries to select suitable control of air pollution measures. It helps people to reduce exposure in pollution. In this present age Air quality Index is one of the burning issues in India. The air contaminations are harmful for our biological system and also for the climate. To keep up the best air quality cross the country different types of air toxins are estimated through the air quality measuring standards. The aim of this research work is modelling air quality of a location with respect to time with the help of Machine

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23

Todorov, Venelin, and Ivan Dimov. "Innovative Digital Stochastic Methods for Multidimensional Sensitivity Analysis in Air Pollution Modelling." Mathematics 10, no. 12 (2022): 2146. http://dx.doi.org/10.3390/math10122146.

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Nowadays, much of the world has a regional air pollution strategy to limit and decrease the pollution levels across governmental borders and control their impact on human health and ecological systems. Environmental protection is among the leading priorities worldwide. Many challenges in this research area exist since it is a painful subject for society and a fundamental topic for the healthcare system. Sensitivity analysis has a fundamental role during the process of validating a large-scale air pollution computational models to ensure their accuracy and reliability. We apply the best availab

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Rode, Carsten, John Grunewald, Zhenlei Liu, Menghao Qin, and Jianshun Zhang. "Models for residential indoor pollution loads due to material emissions under dynamic temperature and humidity conditions." E3S Web of Conferences 172 (2020): 11002. http://dx.doi.org/10.1051/e3sconf/202017211002.

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The IEA EBC Annex 68 project on “Indoor Air Quality Design and Control in Low Energy Residential Buildings” has been recently completed. The project considered indoor air pollution loads in dwellings, particularly how such pollutants are emitted in dependency of the hygrothermal conditions: temperature, moisture and air flows. Thus, a proper understanding of the mutual interactions between hygrothermal conditions and pollutants was needed to obtain optimal paradigms for demand-controlled ventilation. The project adopted a similarity approach for modelling the transports of moisture and volatil

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Hamzelo, M., A. Gharagozlou, S. Sadeghian, S. H. Baikpour, and A. Rajabi. "MODELLING OF CARBON MONOXIDE AIR POLLUTION IN LARG CITIES BY EVALUETION OF SPECTRAL LANDSAT8 IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 281–85. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-281-2015.

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Air pollution in large cities is one of the major problems that resolve and reduce it need multiple applications and environmental management. Of The main sources of this pollution is industrial activities, urban and transport that enter large amounts of contaminants into the air and reduces its quality. With Variety of pollutants and high volume manufacturing, local distribution of manufacturing centers, Testing and measuring emissions is difficult. Substances such as carbon monoxide, sulfur dioxide, and unburned hydrocarbons and lead compounds are substances that cause air pollution and carb

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Abulude, Francis Olawale, Moez Bahloul, Smart Olubayode, and Ebenezer Alaba Adeoya. "A review on top-down and bottom-up approach for air pollution studies." World Journal of Environmental Research 7, no. 2 (2018): 52–60. http://dx.doi.org/10.18844/wjer.v7i2.3427.

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AbstractIt is a well-known fa ct that pollution is a global problem and mus t be holis ticall y ta ckled. In doing this, a dequa te knowledge of the sources of pollution is i mporta nt; therefore, the ai m of this paper is to review source a pportionment wi th reference to top-down and bottom-up methods . In this paper, dispersion modelling, emissions inventory and sa mpling methods are dis cussed. Also, anal yti cal methods invol ved in top -down source apportionment a re mentioned. The two techniques are needed to evalua te pollutants and their sources . Based on these two approa ches , poll

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LIU, Gang-jun, Er-jiang FU, Yun-jia WANG, Ke-fei ZHANG, Bao-ping HAN, and Colin ARROWSMITH. "A Framework of Environmental Modelling and Information Sharing for Urban Air Pollution Control and Management." Journal of China University of Mining and Technology 17, no. 2 (2007): 172–78. http://dx.doi.org/10.1016/s1006-1266(07)60066-2.

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Schmitt, Laetitia Helene Marie. "QALY gain and health care resource impacts of air pollution control: A Markov modelling approach." Environmental Science & Policy 63 (September 2016): 35–43. http://dx.doi.org/10.1016/j.envsci.2016.05.015.

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Sendow, Theo Kurniawan. "Modelling of Air Pollution Caused by Traffic Flows in Manado City, Indonesia." Journal of Sustainable Engineering: Proceedings Series 1, no. 1 (2019): 84–95. http://dx.doi.org/10.35793/joseps.v1i1.11.

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This study was aimed to determine the level of CO concentration due to traffic flows, know the traffic (vehicle) volume, traffic (vehicle) speed and wind speed, find out the relationship between traffic (vehicle) volume, traffic (vehicle) speed, wind speed and CO concentration using a regression model as well as examine the parameters influencing air pollution due to traffic flows. The primary data used in this study were the sample data of CO tested directly in the field and the sampling was done using Ecoline 6000 Gas Analyzer tool. The research sites covered 1) the segment of Sam Ratulangi

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Zundel, T., O. Rentz, R. Dorn, A. Jattke, and M. Wietschel. "Control techniques and strategies for regional air pollution control from energy and industrial sectors." Water, Air, & Soil Pollution 85, no. 1 (1995): 213–24. http://dx.doi.org/10.1007/bf00483702.

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Dave, Neha M., Rupesh P. Vasani, and Parmit Chhasiya. "Modelling the impact of Urban Heat Island mitigation strategies on Urban Air Quality." Current World Environment 17, no. 2 (2022): 393–409. http://dx.doi.org/10.12944/cwe.17.2.11.

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Increasing urban sprawl has caused many severe problems like surge in pollution, rapid climatical variations, and the intensification of temperature in the urban areas, termed Urban Heat Islands (UHI). Population density has caused theconversion of most land areas into cities, and cities have expanded vastly. UHI phenomenon has caused temperature rise in the cities. Most of the metropolitan regions of India are experiencing consequences of UHI and the severity of pollution formation, which is a crucial research area. Since the rising temperature has a direct linkage with urban air pollution; t

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Ho, Quoc Bang. "APPLICATION MONTE-CARLO METHOD TO ESTIMATE UNCERTAINTIES IN THE RESULTS OF AIR QUALITY MODELLING: THE CASE OF HO CHI MINH CITY." Science and Technology Development Journal 14, no. 1 (2011): 78–91. http://dx.doi.org/10.32508/stdj.v14i1.1869.

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Air pollution has deteriorated considerably the health of millions of people in Ho Chi Minh City (HCMC) due to high levels emissions. It has been showed that more than 90% of children under the age of 5 years old suffered from different respiratory illnesses in the city. The objectives of this research include: (1) studying the formation of the pollution plume over the city during a 3-day episode in February 2006 and (2) estimating uncertainties in the results of air quality simulations for HCMC. Research results show evidence of the development of a Ozone (O3) pollution plume in the north-wes

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Rahman, Md Masudur, Wang Shuo, Weixiong Zhao, Xuezhe Xu, Weijun Zhang, and Arfan Arshad. "Investigating the Relationship between Air Pollutants and Meteorological Parameters Using Satellite Data over Bangladesh." Remote Sensing 14, no. 12 (2022): 2757. http://dx.doi.org/10.3390/rs14122757.

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Understanding of the relationship between air pollutants and meteorological parameters on the regional scale is a prerequisite for setting up air pollution prevention and control strategies; however, there is a lack of methodical investigations, particularly in the context of Bangladesh’s deficiency of information on air pollution. This study represents the first attempt to investigate the relationship between air pollutants (NO2, O3, SO2, and CO) and meteorological parameters over Bangladesh using satellite data (OMI and MOPITT) during the period from 2015 to 2020. Geographically weighted reg

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Remmers, J., Th Morgenstern, G. Schons, H. D. Haasis, and O. Rentz. "Integration of air pollution control technologies in linear energy—environmental models." European Journal of Operational Research 47, no. 3 (1990): 306–16. http://dx.doi.org/10.1016/0377-2217(90)90217-y.

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Guo, Jiaqi, and Zhongke Feng. "Study on Spatial Temporal Distribution Characteristics of Air Quality Index in Beijing and Its Correlation with Local Meteorological Conditions." Discrete Dynamics in Nature and Society 2019 (December 18, 2019): 1–15. http://dx.doi.org/10.1155/2019/1462034.

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The changing of AQI presented by historical observations has significant meaning to the urban air pollution prevention. In order to explore the correlation between air quality and meteorological condition in Beijing from 2014 to 2017, researchers processed 52165 sample data from 35 air monitor stations by means of R statistical software, analyzed the spatial temporal distribution characteristics of air quality index (AQI) with Kriging and mathematical statistics and did the research on correlation between spatial temporal distribution characteristics of AQI and meteorological condition. The re

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Whaley, Cynthia H., Tim Butler, Jose A. Adame, et al. "HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts." Geoscientific Model Development 18, no. 11 (2025): 3265–309. https://doi.org/10.5194/gmd-18-3265-2025.

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Abstract. Open biomass burning has major impacts globally and regionally on atmospheric composition. Fire emissions include particulate matter, tropospheric ozone precursors, and greenhouse gases, as well as persistent organic pollutants, mercury, and other metals. Fire frequency, intensity, duration, and location are changing as the climate warms, and modelling these fires and their impacts is becoming more and more critical to inform climate adaptation and mitigation, as well as land management. Indeed, the air pollution from fires can reverse the progress made by emission controls on indust

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Kaya, İhsan, and Cengiz Kahraman. "Air Pollution Control Using Fuzzy Process Capability Indices in the Six-Sigma Approach." Human and Ecological Risk Assessment: An International Journal 15, no. 4 (2009): 689–713. http://dx.doi.org/10.1080/10807030903050897.

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Xu, Wen, Wei Song, Yangyang Zhang, et al. "Air quality improvement in a megacity: implications from 2015 Beijing Parade Blue pollution control actions." Atmospheric Chemistry and Physics 17, no. 1 (2017): 31–46. http://dx.doi.org/10.5194/acp-17-31-2017.

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Abstract. The implementation of strict emission control measures in Beijing and surrounding regions during the 2015 China Victory Day Parade provided a valuable opportunity to investigate related air quality improvements in a megacity. We measured NH3, NO2 and PM2.5 at multiple sites in and outside Beijing and summarized concentrations of PM2.5, PM10, NO2, SO2 and CO in 291 cities across China from a national urban air quality monitoring network between August and September 2015. Consistently significant reductions of 12–35 % for NH3 and 33–59 % for NO2 in different areas of Beijing during the

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Papaleonidas, Antonios, and Lazaros Iliadis. "Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data." Evolving Systems 4, no. 4 (2013): 221–33. http://dx.doi.org/10.1007/s12530-013-9078-5.

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Gurjar, Priya Singh, and Sapna Ratan Shah. "Mathematical Modelling of Atmospheric Pollutant Dispersion under Steady State Conditions with Constant Eddy Diffusivity." RESEARCH REVIEW International Journal of Multidisciplinary 10, no. 5 (2025): 240–47. https://doi.org/10.31305/rrijm.2025.v10.n5.024.

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Air pollution remains a critical environmental challenge, posing significant risks to both ecological systems and human health. Accurate modeling of pollutant dispersion is essential for understanding transport mechanisms and informing regulatory strategies. This study presents a theoretical and analytical investigation of the dispersion of air pollutants emitted from a point source under steady-state conditions. The model incorporates variable wind velocity and a constant pollutant removal rate, assuming constant eddy diffusivity coefficients. Using separation of variables and Fourier transfo

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Tiwari, Pooja. "A Comprehensive Review Paper on Air Quality Prediction and Remediation in Using Soft Computing." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 07 (2025): 1–9. https://doi.org/10.55041/ijsrem51177.

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Air quality prediction and remediation are critical components in addressing environmental pollution and its associated health risks. Predictive modelling and remediation techniques are now crucial for tracking air quality levels and carrying out corrective measures due to the growing global worry about air pollution and how it harms both the environment and people’s health. Artificial neural networks (ANN), fuzzy logic, support vector machines (SVM) and genetic algorithms (GA) are applications of soft computing techniques that have demonstrated significant promise in predicting air quality an

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Wen, Youyue, Jianneng Xiao, Jian Yang, Saoman Cai, Minxuan Liang, and Peng Zhou. "Quantitatively Disentangling the Geographical Impacts of Topography on PM2.5 Pollution in China." Remote Sensing 14, no. 24 (2022): 6309. http://dx.doi.org/10.3390/rs14246309.

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Fine particulate matter (PM2.5) pollution’s passive effects on public health have attracted a great deal of attention. Extensive studies have tried to uncover the impacts of external drivers on PM2.5 pollution variation; however, the topography’s effects on PM2.5 pollution remain poorly understood. Using annual high-resolution concentration estimates for PM2.5, this paper quantitatively disentangled the geographical impacts of topography on the PM2.5 pollution in China and quantified the mountain blocking effects on the PM2.5 pollution dispersion on a macro scale. The results show that, in Chi

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Gallagher, J., L. W. Gill, and A. McNabola. "The passive control of air pollution exposure in Dublin, Ireland: A combined measurement and modelling case study." Science of The Total Environment 458-460 (August 2013): 331–43. http://dx.doi.org/10.1016/j.scitotenv.2013.03.079.

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RAIS, Zulkifli Abd, Norazrin RAMLI, Norazian Mohamed NOOR, Hazrul Abdul HAMID, Ahmad Zia UL-SAUFIE, and Mohd Khairul Nizam MAHMAD. "Analysis of Air Pollution in Malaysia: Implications for Environmental Conservation using Granger Causality and Pearson Correlation." International Journal of Conservation Science 16, no. 1 (2025): 149–64. https://doi.org/10.36868/ijcs.2025.01.09.

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This study investigates the relationships between air pollutants (PM10, SO2, NO2, O3, CO) and meteorological factors (temperature, relative humidity, wind speed) across five states in Malaysia: Seberang Perai, Shah Alam, Nilai, Larkin and Pasir Gudang. Using time-series data from 2017 to 2021, we applied Granger causality and Pearson correlation to explore the predictive relationships and linear associations between these variables. Granger causality provided insights into temporal precedence, revealing significant predictive relationships such as temperature Granger-causing PM10 and O3 in Nil

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K, Dr Vijayakumar, Rahul M M, Dhamodara Prasath G, and Aravinth V. "Adaptive Air Quality Sensing using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 423–30. http://dx.doi.org/10.22214/ijraset.2022.42186.

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Abstract: Air pollution is a worldwide problem having impacts on both local and global scales. According to the World Health Organization (WHO), air pollution causes 7 million deaths every year, with 4.2 million attributed to exposure to outdoor air pollution. Compared to the reference methods defined in the Air Quality Directive, the use of low-cost air quality sensors for monitoring ambient air pollution would reduce air pollution monitoring costs and would also allow larger spatial coverage especially in remote areas where monitoring with traditional facilities is uneasy. Theses multi-senso

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V. Dhandapani, N., R. Manimaran, and R. Velmurugan. "A Study on seismic load characteristics and modelling of chimney structure using fem approach." International Journal of Engineering & Technology 7, no. 2.8 (2018): 622. http://dx.doi.org/10.14419/ijet.v7i2.8.10545.

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Chimneys are landmarks for power plants and industrial setups for modelling them using FEM approach. Chimneys are vertically and discharge, gaseous products of combustion, chemical wastes gases and exhaust air from and industry to the atmosphere. Rapid growth of industrialisation and increasing need for air pollution control as made RC chimneys as common structure in modern scenarios. With large scale industrialisation number of chimneys and stacks being constructed is increasing year by year. Here the chimney structure can be analysed by finite element analysis using FEM approach. Based on AN

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Gong, Jiyoung, Changsub Shim, Ki-Chul Choi, and Sungyong Gong. "The Characteristics of PM2.5 Pollution and Policy Implications in Chungcheong Region." Journal of Korean Society of Environmental Engineers 43, no. 6 (2021): 407–18. http://dx.doi.org/10.4491/ksee.2021.43.6.407.

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Objectives : This study aims to discuss air quality policy improvement that reflect regional characteristics through analyzing recent PM2.5 concentration, air pollutant emission sources and those contributions to annual PM2.5 concentration in Chungcheong region (Daejeon Metropolitan City, Sejong Metropolitan Autonomous City, the Province of Chungcheongnam-do, and Chungcheongbuk-do) in South Korea. In addition, we identified the characteristics of the PM2.5 pollution at the level of fundamental local government, and demonstrated the number of vulnerable population exposed to high level of PM2.5

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Madhav Sai, N., S. Lekshmi, and P. V. Manitha. "Modelling of an Electric Vehicle." Journal of Physics: Conference Series 2312, no. 1 (2022): 012055. http://dx.doi.org/10.1088/1742-6596/2312/1/012055.

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Abstract Electric Vehicles (EVs) are considered to be as an essential aspect in the immediate term to reduce global emissions and to improve local air quality. The automobile industry will have a substantial transformation in the upcoming five to ten years than it has in the last few decades. The development of technologies promoted a better eco-friendly version of EVs. Electric cars in short are the thought of batteries on wheels and are the future of motoring. Growing concerns over the limited supply of fossil fuels led to the invention of electric cars which truly rely upon the use of an el

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Gupta, Medhavi, Manju Mohan, and Shweta Bhati. "Assessment of Air Pollution Mitigation Measures on Secondary Pollutants PM10 and Ozone Using Chemical Transport Modelling over Megacity Delhi, India." Urban Science 6, no. 2 (2022): 27. http://dx.doi.org/10.3390/urbansci6020027.

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Sporadic efforts have been introduced to control emissions in Delhi, but the air quality has declined further due to the rapid development of different sectors. In this study, the impact of various mitigation scenarios on air quality for PM10, ozone, and its precursors are studied using a chemical transport model, namely WRF-Chem. The Emission Database for Global Atmospheric Research emission inventory was modified and introduced into the WRF-Chem model to assess the impact of selected emission control scenarios on different sectors. The simulations were conducted with reduced emissions for th

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Costabile, F., and I. Allegrini. "A new approach to link transport emissions and air quality: An intelligent transport system based on the control of traffic air pollution." Environmental Modelling & Software 23, no. 3 (2008): 258–67. http://dx.doi.org/10.1016/j.envsoft.2007.03.001.

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