scholarly journals Using geo-targeted social media data to detect outdoor air pollution

2016 ◽  
Vol XLI-B2 ◽  
pp. 553-554 ◽  
Author(s):  
W. Jiang ◽  
Y. Wang ◽  
M. H. Tsou ◽  
X. Fu
Keyword(s):  
Social Media ◽  
Air Pollution ◽  
Air Quality ◽  
Environmental Changes ◽  
Real Space ◽  
Air Monitoring ◽  
Outdoor Air ◽  
Outdoor Air Pollution ◽  
Media Messages ◽  
Monitoring Stations

Outdoor air pollution has become a more and more serious issue over recent years (He, 2014). Urban air quality is measured at air monitoring stations. Building air monitoring stations requires land, incurs costs and entails skilled technicians to maintain a station. Many countries do not have any monitoring stations and even lack any means to monitor air quality. Recent years, the social media could be used to monitor air quality dynamically (Wang, 2015; Mei, 2014). However, no studies have investigated the inter-correlations between real-space and cyberspace by examining variation in micro-blogging behaviors relative to changes in daily air quality. Thus, existing methods of monitoring AQI using micro-blogging data shows a high degree of error between real AQI and air quality as inferred from social media messages. <br><br> In this paper, we introduce a new geo-targeted social media analytic method to (1) investigate the dynamic relationship between air pollution-related posts on Sina Weibo and daily AQI values; (2) apply Gradient Tree Boosting, a machine learning method, to monitor the dynamics of AQI using filtered social media messages. Our results expose the spatiotemporal relationships between social media messages and real-world environmental changes as well suggesting new ways to monitor air pollution using social media.

scholarly journals Using geo-targeted social media data to detect outdoor air pollution

2016 ◽  
Vol XLI-B2 ◽  
pp. 553-554
Author(s):  
W. Jiang ◽  
Y. Wang ◽  
M. H. Tsou ◽  
X. Fu
Keyword(s):  
Social Media ◽  
Air Pollution ◽  
Air Quality ◽  
Environmental Changes ◽  
Real Space ◽  
Air Monitoring ◽  
Outdoor Air ◽  
Outdoor Air Pollution ◽  
Media Messages ◽  
Monitoring Stations

Outdoor air pollution has become a more and more serious issue over recent years (He, 2014). Urban air quality is measured at air monitoring stations. Building air monitoring stations requires land, incurs costs and entails skilled technicians to maintain a station. Many countries do not have any monitoring stations and even lack any means to monitor air quality. Recent years, the social media could be used to monitor air quality dynamically (Wang, 2015; Mei, 2014). However, no studies have investigated the inter-correlations between real-space and cyberspace by examining variation in micro-blogging behaviors relative to changes in daily air quality. Thus, existing methods of monitoring AQI using micro-blogging data shows a high degree of error between real AQI and air quality as inferred from social media messages. <br><br> In this paper, we introduce a new geo-targeted social media analytic method to (1) investigate the dynamic relationship between air pollution-related posts on Sina Weibo and daily AQI values; (2) apply Gradient Tree Boosting, a machine learning method, to monitor the dynamics of AQI using filtered social media messages. Our results expose the spatiotemporal relationships between social media messages and real-world environmental changes as well suggesting new ways to monitor air pollution using social media.

scholarly journals Indoor and Outdoor Air Pollution Monitoring Developments in the Municipality of Thessaloniki – Preliminary Actions from Three European Funded Projects

2019 ◽  
Vol 55 (1) ◽  
pp. 1 ◽  
Author(s):  
Georgios Papastergios ◽  
Paraskevi Tzoumaka ◽  
Apostolos Kelessis
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Well Being ◽  
Pollution Monitoring ◽  
Successful Implementation ◽  
Outdoor Air ◽  
Air Pollution Monitoring ◽  
Outdoor Air Pollution ◽  
The City ◽  
Indoor And Outdoor

Air pollution has been one of the first environmental problems to be addressed by the EU and for this reason clean air is considered essential to good health. Information availability and understanding of the air quality issue is essential part of tackling it with efficiency. Having the latter in mind, the Municipality of Thessaloniki has considered relative environmental actions as an important priority and made significant efforts to include them in its short-term and long-term, already developed, strategies. Through these strategies the Municipality became partner in three important EU funded projects that are dealing with indoor and outdoor air pollution monitoring actions, namely CUTLER, AIRTHINGS, and LIFE SMART IN'AIR. The successful implementation of these projects will add to the knowledge of indoor and outdoor air quality in the City of Thessaloniki, whereas, at the same time, will improve the resilience of the city and the well being of its citizens.

scholarly journals Feasibility of using social media to monitor outdoor air pollution in London, England

2019 ◽  
Vol 121 ◽  
pp. 86-93 ◽  
Author(s):  
Yulin Hswen ◽  
Qiuyuan Qin ◽  
John S. Brownstein ◽  
Jared B. Hawkins
Keyword(s):  
Social Media ◽  
Air Pollution ◽  
Outdoor Air ◽  
Outdoor Air Pollution

scholarly journals LAB-SCALE MEASUREMENT OF THE INDOOR AIR QUALITY

1970 ◽  
Vol 65 (2) ◽  
Author(s):  
I. Oroian ◽  
Antonia Odagiu ◽  
M. Proorocu ◽  
C. Iederan ◽  
Claudia Balint
Keyword(s):  
Air Pollution ◽  
Veterinary Medicine ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Monitoring ◽  
Outdoor Air ◽  
Outdoor Air Quality ◽  
The University ◽  
Indoor Air Monitoring

The emphasizing of feasible methods easy to implement in monitoring air quality at laboratory scale was the objective of our research. The research was performed during October 2007 and February 2008 within the Laboratory of Air Quality from the University of Agricultural Sciences and Veterinary Medicine Cluj – Napoca. The average values recorded in analyzed parameters of the laboratory indoor air gualities were within the admitted values. A positive, relatively strong correlation (r = 0.78487) was recorded between NO and NOx evolution of the laboratory indoor concentrations. The laboratory indoor air conditions being maintained within the same parameters during the entire experimental interval, the big increase of the majority of analyzed indices in the end of 2007 may be explained only due to some alterations of the outdoor air quality. The air monitoring system made up of HORIBA air pollution devices (APMA-370, APNA-370, APOA-370 and APSA-370) is feasible, environmentally friendly and easy to use for indoor air monitoring.

scholarly journals A Study on Recycling of Saw Dust and Pollution-Free Indian Railways

2020 ◽  
Vol 8 (1) ◽  
pp. 172-179
Author(s):  
P Rajkumar ◽  
B Vijay Bhaskar
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Solid Waste ◽  
Urban Area ◽  
Indoor Air ◽  
Tamil Nadu ◽  
Indoor Air Pollution ◽  
Outdoor Air ◽  
Outdoor Air Pollution ◽  
Saw Dust

The Madurai Kamaraj University is situated in Madurai town, Tamil Nadu state, India is an urban area has geographical Location of Latitude 9.941418, Longitude 78.008896 and GPS Latitude coordinates - 9° 56’ 29. 1048 “N and Longitude 78° 0’ 32.0256 “E. The population in Madurai metropolitan town is around 14, 65,625 Lakhs (in 2011 census)-[Male-7, 33,821 Lakhs and female-7, 31,804 Lakhs]. The study of air pollution in this paper consist of two parts- One part deals with (1): The survey of Improved air quality dedicated to nation by Indian Rail Transport (98.5%), in outdoor air pollution control, which is done by a conversion process of electrification implemented in all rail tracks in India - and other part deals with (2): Indoor air pollution generated in a saw mill may be handled by best solid waste recycling process of – compost method for agricultural usage. This study of saw dust recycling is come under the Indoor air quality engineering .The Indoor air pollution is very important because the outdoor air pollution is lower than Indoor air pollution. Also, the outdoor air is a source of supply of air to indoor environment in a house/ Industry. In general, the saw mill generates more amount of saw dust per year. The solid waste of saw dust is disposed by open firing method, creates air pollution in local atmosphere and creates lot of health problems to working people inside and surrounding living people nearby saw mill in an urban area. The saw dust mixed with (cow + goat dung) is completely converted into natural fertilizer for agriculture. This study also focus on The Indian railway introduces electrification in rail track (except Rameshwaram) in several routes and ensure air pollution free zone that is zero percentage carbon emission zone.

scholarly journals Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic

2021 ◽  
Author(s):  
Christian Acal ◽  
Ana M. Aguilera ◽  
Annalina Sarra ◽  
Adelia Evangelista ◽  
Tonio Di Battista ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Functional Data ◽  
Central Italy ◽  
Principal Component ◽  
Functional Principal Component Analysis ◽  
Area Of Interest ◽  
Pm 10 ◽  
The Impact ◽  
Monitoring Stations

AbstractFaced with novel coronavirus outbreak, the most hard-hit countries adopted a lockdown strategy to contrast the spread of virus. Many studies have already documented that the COVID-19 control actions have resulted in improved air quality locally and around the world. Following these lines of research, we focus on air quality changes in the urban territory of Chieti-Pescara (Central Italy), identified as an area of criticality in terms of air pollution. Concentrations of $$\hbox {NO}_{{2}}$$ NO 2 , $$\hbox {PM}_{{10}}$$ PM 10 , $$\hbox {PM}_{2.5}$$ PM 2.5 and benzene are used to evaluate air pollution changes in this Region. Data were measured by several monitoring stations over two specific periods: from 1st February to 10 th March 2020 (before lockdown period) and from 11st March 2020 to 18 th April 2020 (during lockdown period). The impact of lockdown on air quality is assessed through functional data analysis. Our work makes an important contribution to the analysis of variance for functional data (FANOVA). Specifically, a novel approach based on multivariate functional principal component analysis is introduced to tackle the multivariate FANOVA problem for independent measures, which is reduced to test multivariate homogeneity on the vectors of the most explicative principal components scores. Results of the present study suggest that the level of each pollutant changed during the confinement. Additionally, the differences in the mean functions of all pollutants according to the location and type of monitoring stations (background vs traffic), are ascribable to the $$\hbox {PM}_{{10}}$$ PM 10 and benzene concentrations for pre-lockdown and during-lockdown tenure, respectively. FANOVA has proven to be beneficial to monitoring the evolution of air quality in both periods of time. This can help environmental protection agencies in drawing a more holistic picture of air quality status in the area of interest.

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