Synergistic data fusion of multimodal AOD and air quality data for near real-time full coverage air pollution assessment

2022 ◽  
Vol 302 ◽  
pp. 114121
Author(s):  
Ke Li ◽  
Kaixu Bai ◽  
Zhengqiang Li ◽  
Jianping Guo ◽  
Ni-Bin Chang
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Data Fusion ◽  
Real Time ◽  
Pollution Assessment ◽  
Quality Data ◽  
Full Coverage ◽  
Air Pollution Assessment ◽  
Air Quality Data

scholarly journals Changes in air-pollution related behaviour measured by Google Trends Search Volume Index in response to reported air quality in Poland

2021 ◽  
Author(s):  
Wojciech Nazar ◽  
Katarzyna Plata-Nazar
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Winter Season ◽  
Google Trends ◽  
Volume Index ◽  
Quality Data ◽  
Coefficient Of Determination ◽  
Pollution Levels ◽  
Search Volume ◽  
Air Quality Data

Abstract Background Decreased air quality is connected to a higher number of hospital admissions and an increase in daily mortality rates. Thus, Poles’ behavioural response to sometimes elevated air pollution levels is vital. The aim of this study was to carry out analysis of changes in air-pollution related information seeking behaviour in response to nationwide reported air quality in Poland. Methods Google Trends Search Volume Index data was used to investigate Poles’ interest in air pollution-related keywords. PM10 and PM2.5 concentrations measured across Poland between 2016 and 2019 were collected from the Chief Inspectorate of Environmental Protection databases. Pearson Product-Moment Correlation and the R2 correlation coefficient of determination were used to measure spatial and seasonal correlations between reported air pollution levels and the popularity of search queries. Results The highest PM10 and PM2.5 concentrations were observed in southern voivodeships and during the winter season. Similar trends were observed for Poles’ interest in air-pollution related keywords. All R2 coefficient of determination values were > 0.5 and all correlations were statistically significant. Conclusion Poland’s air quality does not meet the World Health Organisation guidelines. Also, the air quality is lower in southern Poland and during the winter season. It appears that Poles are aware of this issue and search for daily air quality data in their location. Greater interest in air quality data in Poland strongly correlates with both higher regional and higher seasonal air pollution levels.

scholarly journals Developing Web-Based 3D Health-Aware Routing for Pedestrians and Cyclists

2020 ◽  
Vol 171 ◽  
pp. 02009
Author(s):  
Rosanny Sihombing ◽  
Sabo Kwada Sini ◽  
Matthias Fitzky
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Health Concern ◽  
Quality Data ◽  
Quality Level ◽  
3D Navigation ◽  
Index Numbers ◽  
Web Based ◽  
Air Quality Data ◽  
Monitoring Stations

As the population of people migrating to cities keeps increasing, concerns have been raised about air quality in cities and how it impacts everyday life. Thus, it is important to demonstrate ways of avoiding polluted areas. The approach described in this paper is intended to draw attention to polluted areas and help pedestrians and cyclists to achieve the lowest possible level of air pollution when planning daily routes. We utilise real-time air quality data which is obtained from monitoring stations across the world. The data consist of the geolocation of monitoring stations as well as index numbers to scale the air quality level in every corresponding monitoring stations. When the air quality level is considered having a moderate health concern for people with respiratory disease, such as asthma, an alternative route that avoid air pollution will be calculated so that pedestrians and cyclists can be informed. The implementation can visualize air quality level in several areas in 3D map as well as informs health-aware route for pedestrian and cyclist. It automatically adjusts the observed air quality areas based on the availability of monitoring stations. The proposed approach results in a prototype of a health-aware 3D navigation system for pedestrian and cyclist.

Street level air quality data collected by the Mobile Real-time Air Monitoring Platform (MAP)

2015 ◽  
Author(s):  
Ming Fang ◽  
Xiaohong Yao ◽  
Chak-Keung Chan ◽  
Ngai Ting Lau ◽  
Arthur P. S Lau
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Air Monitoring ◽  
Quality Data ◽  
Street Level ◽  
Air Quality Data ◽  
Monitoring Platform

scholarly journals Functionality of openair package in air pollution assessment and modeling — a case study of Krakow

2017 ◽  
Vol 28 (2) ◽  
pp. 22-27 ◽  
Author(s):  
Adriana Szulecka ◽  
Robert Oleniacz ◽  
Mateusz Rzeszutek
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Management System ◽  
Measurement Data ◽  
Pollution Assessment ◽  
Software Modeling ◽  
Pollution Dispersion ◽  
Back Trajectories ◽  
Air Pollution Dispersion ◽  
Air Pollution Assessment

Abstract The paper presents the possibilities of selected functions from openair package for R programming environment in urban air pollution assessment. Examples of data analysis were based on the measurements from continuous air quality monitoring stations in Krakow (Poland). In order to present additional functionality of this software, modeling results of back trajectories and air pollution dispersion were used. Functions and visualization methods included in openair package make scrutiny of large data sets easier and less time consuming. They allow for analysis of measurement data with the determination of general relationships between parameters, additional complex spatial analyses for back trajectories, and validation of air pollution dispersion models. Openair package is, therefore, a valuable and functional tool that can be successfully used as a support in the air quality management system.

scholarly journals Meteorology applied to urban air pollution problems: concepts from COST 715

2006 ◽  
Vol 6 (2) ◽  
pp. 555-564 ◽  
Author(s):  
B. Fisher ◽  
J. Kukkonen ◽  
M. Piringer ◽  
M. W. Rotach ◽  
M. Schatzmann
Keyword(s):  
Boundary Layer ◽  
Air Pollution ◽  
Air Quality ◽  
Urban Areas ◽  
Complex Structure ◽  
Urban Air Pollution ◽  
Pollution Assessment ◽  
Air Pollution Assessment ◽  
Quality Assessments ◽  
Insight Into

Abstract. The outcome of COST 715 is reviewed from the viewpoint of a potential user who is required to consider urban meteorology within an air pollution assessment. It is shown that descriptive concepts are helpful for understanding the complex structure of the urban boundary layer, but that they only apply under a limited number of conditions. However such concepts are necessary to gain insight into both simple and complex air pollution models. It is argued that wider considerations are needed when considering routine air quality assessments involving an air quality model's formulation and pedigree. Moreover there appears to be a reluctance from model developers to move away from familiar concepts of the atmospheric boundary layer even if they are not appropriate to urban areas. An example is given from COST 715 as to how routine urban meteorological measurements of wind speed may be used and adapted for air quality assessments. Reference to the full COST 715 study is made which provides further details.

scholarly journals Impacts of the COVID-19 lockdown on air quality and its association with human mortality trends in megapolis Mexico City

2020 ◽  
Author(s):  
Gurusamy Kutralam-Muniasamy ◽  
Fermín Pérez-Guevara ◽  
Priyadarsi D. Roy ◽  
I. Elizalde-Martínez ◽  
V.C. Shruti
Keyword(s):  
Air Pollution ◽  
Latin America ◽  
Air Quality ◽  
Mexico City ◽  
Air Pollutants ◽  
Mortality Rates ◽  
Quality Data ◽  
Mortality Trends ◽  
Human Mortality ◽  
Air Quality Data

Abstract Mexico City is the second most populated city in Latin America, and it went through two partial lockdowns between April 1 and May 31, 2020 for reducing the COVID-19 propagation. The present study assessed air quality and its association with human mortality rates during the lockdown by estimating changes observed in air pollutants (CO, NO2, O3, SO2, PM10 and PM2.5) between the lockdown (April 1 - May 31) and pre-lockdown (January 1 – March 31) periods, as well as by comparing the air quality data of lockdown period with the same interval of previous five-years (2015-2019). Concentrations of NO2 (-29%), SO2 (-55%) and PM10 (-11%) declined and the contents of CO (+1.1%), PM2.5 (+19%) and O3 (+63%) increased during the lockdown compared to the pre-lockdown period. This study also estimated that NO2, SO2, CO, PM10 and PM2.5 reduced by 19-36%, and O3 enhanced by 14% compared to the average of 2015-2019. Reduction in traffic as well as less emission from vehicle exhausts led to remarkable decline in NO2, SO2 and PM10. The significant positive associations of PM2.5, CO and O3 with the numbers of COVID-19 infections and deaths, however, underscored the necessity to enforce air pollution regulations to protect human health in one of the important cities of the northern hemisphere.

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