Showing 1-25 of 1,052 resultsfor "Index Terms":Air Pollutant Concentrations
"Index Terms":Air Pollutant Concentrations
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Statistical Analysis of Air Pollutants in Ambient Air, Reality of Sensors and Corrective Measures in India
2019 Innovations in Power and Advanced Computing Technologies (i-PACT)
Year: 2019 | Conference Paper |
Due to rapid increase in the population of India, the nation is at an urge to fulfil the needs of the entire population which has led to increase in urbanization, industrialization, deforestation, etc., that further has paved a way to increase in air pollution. Though the needs are fulfilled to some extent, the polluted air has a serious effect on the health of the human as well as the environment...Show More
Correlation analysis of air pollution and respiratory disease in City A
2011 International Conference on Remote Sensing, Environment and Transportation Engineering
Year: 2011 | Conference Paper |
Cited by: Papers (4)
Air pollution is one of the major factors affecting human health. Examining the relationship between air pollution and respiratory disease is a major focus in environmental science. In this paper, we conduct a correlation analysis between air pollutant concentrations in 2004 (specifically PM10, NO2 and SO2) and 2004 data on respiratory disease inpatients (including bronchitis, asthma and pneumonia...Show More
Estimation Of Regional Air Pollution In Xuzhou City Based On WRF-Chem Model
Wenhao Liu;Yong Xue;Xiaolu Ling;Jian Gao;Zeyu Tang;Shuhui Wu;Botao He
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
Year: 2023 | Conference Paper |
The air quality model can reproduce the processes of atmospheric transport, chemical reaction and removal, and analyze the spatio-temporal evolution law, internal mechanism and origin of air pollution. WRF-Chem model is the third generation of air quality model. Its biggest advantage is that the meteorological model and chemical transmission model are fully coupled in time and spatial resolution t...Show More
Association Between Consecutive Ambient Air Pollution and Chronic Obstructive Pulmonary Disease Hospitalization: Time Series Study During 2015-2017 in Chengdu China
Yi Zhang;Ziyue Wang;Jingjing Xu;Yiqi Liu;Bin Zhou;Nan Zhang;Mingjie He;Jipeng Fan;Xianbo Liu;Jian Zhao;Qin Yang;Lifu Zhang;Yu Cao;Steven Su
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
This paper investigates the association between consecutive ambient air pollution and Chronic Obstructive Pulmonary Disease (COPD) hospitalization in Chengdu China. The three-year (2015-2017) time series data for both ambient air pollutant concentrations and COPD hospitalizations in Chengdu are approved for the study. The big data statistic analysis shows that Air Quality Index (AQI) exceeded the ...Show More
Association Between Consecutive Ambient Air Pollution and Chronic Obstructive Pulmonary Disease Hospitalization: Time Series Study During 2015-2017 in Chengdu China
Yi Zhang;Ziyue Wang;Jingjing Xu;Yiqi Liu;Bin Zhou;Nan Zhang;Mingjie He;Jipeng Fan;Xianbo Liu;Jian Zhao;Qin Yang;Lifu Zhang;Yu Cao;Steven Su
Year: 2020 | Conference Paper |
Spatial distribution characteristics of air pollutants during heating season in Shenyang city
Cheng Liu;Zhonghu Yuan;Yingkui Du;Xiaoxuan Qi;Chunhe Shi;Nan Wang;Xiaowei Han
2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Shenyang was a representative heavily polluted industrial city in northeast China. Two types of urban area with significant spatial position difference were divided by arterial traffic as the surrounding and the core urban area. To reduce the impact of disturbing factors such as firecrackers in the traditional Chinese festivals, the observation period of the monitoring data was selected from Novem...Show More
The study of long-term air pollution characteristic in Wuhan, China
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
Air pollution is one of the most concerned problems both for researchers and the public. In this study, we collected long-term observation of mass concentrations of PM10, PM2.5, and other gaseous pollutants in Wuhan, China, including sulphur dioxide (SO2), nitrogen oxide (NOx), from 2011 to 2014. The time series analysis is utilized to analyze the long-term trends of particulate matter (PM) and ga...Show More
Establishment of Air Quality Forecast Model Based on Deep Learning
2020 IEEE 6th International Conference on Computer and Communications (ICCC)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
According to the existing air quality forecasting model, this paper proposed an air quality forecasting method based on deep learning. By analyzing forecasting data, monitoring data and meteorological data, a new air quality forecasting model in the region is established. The model fully takes into account the time variability and spatial distribution characteristics of air pollutant concentration...Show More
Application of MQ-Sensors to Indoor Air Quality Monitoring in Lab based on IoT
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)
Year: 2021 | Conference Paper |
Cited by: Papers (6)
Air pollution levels have been rising around the world in recent years. Long-term pollution exposure causes a variety of ailments, including lung disease, heart disease, and eye irritation. The term “indoor air quality” refers to the building’s residents' air quality. Physical variables, chemical or gaseous pollutants, and biological factors. Toxic gases are likely to be present in any laboratory ...Show More
Prediction of Urban PM2.5 Concentration Based on Wavelet Neural Network
2018 Chinese Control And Decision Conference (CCDC)
Year: 2018 | Conference Paper |
Cited by: Papers (9)
The main objective of this study is to determine the more appropriate computational intelligence (CI) model for the prediction of air pollutants in urban areas. In this paper, in order to emphasize the importance of short-term air quality (AQ) prediction, PM2.5 is used as an example to evaluate the concentration of pollutants using a variety of CI methods and tools. According to the data of air qu...Show More
The statistical distributions of SO2, NO2 and PM10 concentrations in Xi'an, China
2011 International Symposium on Water Resource and Environmental Protection
Year: 2011 | Conference Paper |
Cited by: Papers (1)
The paper analyzed the three-year (from 2006 to 2008) concentration data of SO2, NO2 and PM10 with routine monitoring in Xi'an, and selected several common statistical distribution models to fit the observational data. The results showed that the most appropriate distribution models representing the daily average concentration of SO2 (0.0514 ± 0.0390 mg/m3, n=1096), NO2 (0.0416 ± 0.0135 mg/m3, n=1...Show More
Contribution of Thermal Power Plants to Ambient Air Quality Levels in Colombo Metropolitan Region, Sri Lanka
H.B.U. Nishajanthani;H.D.S. Premasiri;Shiromi Karunaratne;B.C.L. Athapattu
2023 Moratuwa Engineering Research Conference (MERCon)
Year: 2023 | Conference Paper |
Air quality models (AQMs) are essential in complex air quality management studies. Due to data limitations, AQMs are occasionally used in developing countries. This study focuses on assessing the impact of thermal power plants on ambient air quality in the Colombo Metropolitan Area (CMA), Sri Lanka, using the AQM for the first ever in Sri Lanka. Concentrations of SO2 and NO2 were measured at 18 sa...Show More
Comparative Study Of Impact Of COVID-19 Lockdown On AQI Parameters Across Urban India
2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
In the midst of the COVID-19 outbreak, India imposed a state-wise lockdown due to which pollution levels in major cities across the nation decrease drastically. The current study used a variety of pollution metrics (PM10, PM2.5, SO2, NO2, CO, O3, and NH3) to reveal geographical air quality patterns before and during the lockdown. The findings revealed that during a lock-down, air quality increases...Show More
Accurate Air Quality Prediction Through the Use of Statistical Models and Machine Learning Approach
2023 6th International Conference on Contemporary Computing and Informatics (IC3I)
Year: 2023 | Conference Paper |
The practice of estimating the concentrations of air pollutants in a certain area over a predetermined time frame is known as air quality prediction. As is well known, air pollution harms both the environment and human health as a result of constantly rising urbanization. Predicting air quality is the only approach to stop the negative effects of air pollution. Consequently, the project's abstract...Show More
Design of an Air Pollution Monitoring System Based on a Low-Cost Sensor Node
Rocío-Alejandra Guerrón;Domenico-Luca Carnì;Marco Lanuzza;Francesco D' Amore;Mariantonia Bencardino;Francesco Lamonaca;Ramiro Taco
2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)
Year: 2024 | Conference Paper |
Air quality influences the life of the living beings that inhabit planet Earth. High levels of air pollutants in ambient air are in fact able to affect human health and also ecosystem integrity. Their monitoring allows for regulating the most appropriate air quality indices and verifying whether they are below the established harmful levels. However, this is a task that requires many physical and ...Show More
Spatial Distribution Analysis of Air Pollutants and The Impact of Meteorological Factor
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)
Year: 2021 | Conference Paper |
Six criteria pollutants were monitored in varied zones of Coimbatore City during a period of one year and correlated with the natural meteorological conditions such as temperature, relative humidity (RH), wind speed and precipitation using SPSS 23. The Spatial distribution analysis was determined by Inverse Distance Weighted (IDW) Interpolation Technique using ArcGIS 10.5. The interpolated values ...Show More
Statistical Analysis and Predictive Modelling of Air Pollutants Using Advanced Machine Learning Approaches
Wan Yun Hong;David Koh;Anis Asma Ahmad Mohtar;Mohd Talib Latif
2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
Air quality forecasting is important as it provides early warning of air pollutants, which could be harmful to human health and the environment. This study presents a statistical analysis and prediction of various air pollutants (such as PM10, CO, SO2, NO2 and O3) and the air pollution index (API) in Labuan, Malaysia using advanced machine learning approaches. The exponential triple smoothing (ETS...Show More
An infrastructure of multi-pollutant air quality deterioration early warning system in spark platform
2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
Year: 2018 | Conference Paper |
Cited by: Papers (5)
In recent years, the increase of multi-pollutant air pollution index has a direct impact on people's health. Relevant studies have pointed out that the exposure of air pollutants has a strong connection with asthma and other unhealthy diseases such as the lungs. The air pollution has brought health issue, but also caused a huge medical costs each year derived from the disease. Although there are m...Show More
Effects of Major Air Pollutants on Millimeter Wave Spectrum
2020 3rd International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)
Year: 2020 | Conference Paper |
The enormous growth in the number of user devices and increasing data rate requirements is causing spectrum scarcity. The researchers are exploring the use of higher frequency bands such as millimeter wave (mmWave) to achieve spectrum efficiency. The utilization of mmWave for New Radio (NR) application is gaining popularity but it suffers from reduction in signal power due to molecular absorption....Show More
Neural Models for Prediction of Maximum Daily Particulate Matter PM10 Concentration in the Air in Big Cities as Ecological Safety Management Tools
2008 19th International Conference on Systems Engineering
Year: 2008 | Conference Paper |
Cited by: Papers (1)
The aim of the study was to examine the possibilities of the development of a prognostic instrument for the air quality management in cities. The study was focused on the development of the neural network models for prediction of the classes of the air quality state in relation to maximum daily dust PM10 concentration. The air quality class was predicted for the next day in relation to maximal dai...Show More
The Research of Air Pollutant Diffusion Model in Newly-Renovated Hermetic Indoor Environment
2011 5th International Conference on Bioinformatics and Biomedical Engineering
Year: 2011 | Conference Paper |
The mathematical model of the indoor air pollutant diffusion is derived from the basic difference equations of diffusion and the continuous emission model of pollution point source by using the interior paint as the release source in a newly-renovated hermetic indoor environment. Based on the derived mathematical model, the indoor air pollutant concentration is calculated and the formaldehyde conc...Show More
Air contaminants can be found outside and inside our houses and automobiles. We used autos for transportation daily. A vehicle was also used by some people as an extension of their home. According to the World Health Organization, air pollution kills seven million people per year. Because our vehicle recirculates air from the outside, dangerous pollution levels are higher inside. Related research ...Show More
Air Pollution Prevention Using Wireless Sensors
S. Sharmila Devi;N. Kaviarasu;P. P. Kiruthikram;K. Praveen Kumar
Due to its detrimental effects on both human health and the environment, air pollution has become a major worldwide concern. Wireless sensors have emerged as a promising solution for monitoring and preventing air pollution. This article summarizes research on air pollution prevention using wireless sensors. This work examines the difficulties in monitoring and preventing air pollution. As a result...Show More
Citywide PM2.5 Concentration Prediction Using Deep Learning Model
2024 IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI)
Year: 2024 | Conference Paper |
With the accelerated pace of urbanization and modernization, the problem of air pollution is becoming increasingly serious worldwide. While monitoring and forecasting air pollutant concentration are important for both the government and the public, this study focuses on the problem of citywide short-term and fine-grained PM2.5 (the particulate matter with an aerodynamic equivalent diameter of less...Show More
Estimation of Air Quality Index using AI and ML Techniques
2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
The air pollution has caused a critical threat to the environment and human health, making accurate and timely air quality monitoring very imperative. This research work is presenting an innovative approach of estimation of Air Quality Index (AQI) based on the Artificial Intelligence and Machine Learning techniques implemented in MATLAB. The AQI is a metric which quantifies the air pollution level...Show More
Spatial characteristics of air pollution in the main city area of Chengdu, China
2011 19th International Conference on Geoinformatics
Year: 2011 | Conference Paper |
Cited by: Papers (3)
In Chengdu, air pollution is an important and popular topic because of its impact to human health. Sulfur dioxide (SO2), nitrogen dioxide (NO2) and particulate matter (PM10) are the major air pollutants caused by the usage of fossil fuels, and so forth. In this study, the spatial distribution variability of the major air pollutants across the main city area of Chengdu in 2010 was analyzed. In orde...Show More
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