scholarly journals Citizens or Consumers? Air Quality Sensor Users and Their Involvement in Sensor.Community. Results from Qualitative Case Study

2021 ◽  
Vol 13 (20) ◽  
pp. 11406
Author(s):  
Michał Wróblewski ◽  
Joanna Suchomska ◽  
Katarzyna Tamborska
Keyword(s):  
Air Quality ◽  
Local Community ◽  
Environmental Problem ◽  
Local Level ◽  
Health And Safety ◽  
Quality Data ◽  
Different Types ◽  
Air Quality Data

This article presents the results of the qualitative research conducted on Polish users of the Sensor.Community network. Different types of motivation behind the decision to engage in the collection of air quality data are discussed. Users’ motives have been found to result predominantly from the concern for the health and safety of their loved ones, as well as the need to control air quality (and ultimately the quality of life) in their immediate environment (home and neighbourhood). Users do not display civic behaviour such as working for the local community. Three factors have been proposed to explain this status quo. First, the motives related to health and safety, as opposed to motives behind seeking a resolution to an environmental problem at the local level, may contribute to the solidification of individualistic attitudes. Second, Sensor.Community is organised in a way that does not promote a greater involvement from the network organisers in the development of the initiative and retention of users. Instead, the network focuses predominantly on the technical aspects of operation. Third, users have no sense of agency as, in our opinion, they remain largely unaware of the value of the data they collect.

scholarly journals Air Quality Data for Catania: Analysis and Investigation Case Study 2010–2011

2014 ◽  
Vol 45 ◽  
pp. 681-690 ◽  
Author(s):  
Rosario Lanzafame ◽  
Pier Francesco Scandura ◽  
Fabio Famoso ◽  
Pietro Monforte ◽  
Carmelo Oliveri
Keyword(s):  
Air Quality ◽  
Quality Data ◽  
Air Quality Data

scholarly journals A WEB API AND WEB APPLICATION DEVELOPMENT FOR DISSEMINATION OF AIR QUALITY INFORMATION

2017 ◽  
Vol IV-4/W4 ◽  
pp. 373-378 ◽  
Author(s):  
K. Şahin ◽  
U. Işıkdağ
Keyword(s):  
Air Quality ◽  
Web Service ◽  
Monitoring Network ◽  
Data Access ◽  
Quality Monitoring ◽  
Quality Data ◽  
Series Data ◽  
Air Quality Monitoring ◽  
Air Quality Data

Various studies have been carried out since 2005 under the leadership of Ministry of Environment and Urbanism of Turkey, in order to observe the quality of air in Turkey, to develop new policies and to develop a sustainable air quality management strategy. For this reason, a national air quality monitoring network has been developed providing air quality indices. By this network, the quality of the air has been continuously monitored and an important information system has been constructed in order to take precautions for preventing a dangerous situation. The biggest handicap in the network is the data access problem for instant and time series data acquisition and processing because of its proprietary structure. Currently, there is no service offered by the current air quality monitoring system for exchanging information with third party applications. Within the context of this work, a web service has been developed to enable location based querying of the current/past air quality data in Turkey. This web service is equipped with up-todate and widely preferred technologies. In other words, an architecture is chosen in which applications can easily integrate. In the second phase of the study, a web-based application was developed to test the developed web service and this testing application can perform location based acquisition of air-quality data. This makes it possible to easily carry out operations such as screening and examination of the area in the given time-frame which cannot be done with the national monitoring network.

scholarly journals Multiple‐Factor Influence on Air Quality of Road Motor Vehicles Tail Number Limit in Administrative Area of Beijing, China

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Bakhrom Rajabov ◽  
Lan Liu ◽  
Jamshid Rajabov
Keyword(s):  
Air Quality ◽  
Motor Vehicles ◽  
Quality Data ◽  
Peak Time ◽  
Spring Festival ◽  
Administrative Area ◽  
The Impact ◽  
Beijing China ◽  
Air Quality Data

From December 2, 2013, to October 31, 2019 (total 2160 days), Beijing official air quality data was used as the research object. The article analyzes the end of days 4 and 9 and the end of the nonrestricted 4 and 9 days, working and nonworking days, restricted and nonrestricted working days, long holidays (Spring Festival and National Day), and nonlong holidays (short holidays other than the Spring Festival and National Day and working days) of AQI, PM2.5, PM10, SO2, CO, NO2, and O3. According to the statistical analysis of the data, the air quality of the 4 and 9 limit is worse than that of the non-4 and 9 limit. Motor vehicles restricted in traffic had an objective effect on air AQI, PM2.5, PM10, CO, and NO2, whereas there was almost no difference in O3. Some peak values of AQI, PM2.5, PM10, SO2, CO, and NO2 on nonrestricted working days were significantly higher than those on restricted working days. At the same time, there was a peak time of the impact of motor vehicles on AQI, PM2.5, PM10, SO2, CO, and NO2 in Beijing. This time should be between 3 and 5 days, or 72 and 120 hours.

Strategic Planning of Sustainable Development of Local Communities

2013 ◽  
pp. 22-38 ◽  
Author(s):  
Radojica Saric ◽  
Marijana Jovanovic ◽  
Biljana Grujic
Keyword(s):  
Quality Of Life ◽  
Sustainable Development ◽  
Strategic Planning ◽  
Local Community ◽  
Local Level ◽  
Local Communities ◽  
Point Of View ◽  
Modern Concept

The subject of research in this chapter is analysis of the concept of sustainable agriculture of local communities from the point of view of strategic planning and based on the case study for the model of sustainability of the local community Glogonj. The main goal of the research is to connect the basic aspects of strategic planning with the concept of sustainable development in order to improve the quality of life in local communities. The authors apply the theoretical and practical, and conceptual and methodological frame of research based on the case study, which is oriented on three thematic areas of analysis: (1) sustainable development as a modern concept for improving the quality of life of local communities; (2) basic aspects of strategic planning in function of implementation of the concept of sustainable development on local level; (3) the model of strategic planning of sustainable development of the local community at Glogonj as a case study.

scholarly journals Study on Indoor Simulation Method of Atmospheric Turbulence and Aerosol Environment

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Quan Wang
Keyword(s):  
Air Quality ◽  
Atmospheric Turbulence ◽  
Simulation Method ◽  
Quality Data ◽  
Future Research ◽  
Atmospheric Transmission ◽  
Experimental Platform ◽  
The Relationship ◽  
Air Quality Data

The atmospheric turbulence is simulated in the laboratory using anatmospheric simulation pool, and the intensity of atmospheric turbulence can be adjusted by controlling the temperature difference between the upper and lower plates of the simulated pool. At the same time, the PM2.5 environment was simulated in the simulation pool, and the particle sensor was used to measure the concentration of PM2.5. Since atmospheric visibility is mainly affected by PM2.5, we obtained air quality data for a period of time in a certain area of Beijing, and numerically fit the relationship between the two, and obtained a regression model between the two. Theregression model was applied to the atmospheric simulation pool to calculate the visibility of the simulated atmosphere, and compared with the air quality of the Fengtai area published by the Meteorological Bureau, and the accuracy of thesimulation pool to the PM2.5 environmental simulation was tested. Based on the turbulence simulation, the simulation pool simulates the PM2.5 environment. The method is feasible and has sufficient theoretical basis. It provides a reliable indoor experimental platform for future research on laser atmospheric transmission.

scholarly journals A regional air quality forecasting system over Europe: the MACC-II daily ensemble production

2015 ◽  
Vol 8 (3) ◽  
pp. 2739-2806 ◽  
Author(s):  
V. Marécal ◽  
V.-H. Peuch ◽  
C. Andersson ◽  
S. Andersson ◽  
J. Arteta ◽  
...  
Keyword(s):  
Air Quality ◽  
Atmospheric Composition ◽  
Quality Data ◽  
Model Ensemble ◽  
The Past ◽  
Forecasting System ◽  
The Individual ◽  
Statistical Indicators ◽  
Air Quality Data

Abstract. This paper describes the pre-operational analysis and forecasting system developed during MACC (Monitoring Atmospheric Composition and Climate) and continued in MACC-II (Monitoring Atmospheric Composition and Climate: Interim Implementation) European projects to provide air quality services for the European continent. The paper gives an overall picture of its status at the end of MACC-II (summer 2014). This system is based on seven state-of-the art models developed and run in Europe (CHIMERE, EMEP, EURAD-IM, LOTOS-EUROS, MATCH, MOCAGE and SILAM). These models are used to calculate multi-model ensemble products. The MACC-II system provides daily 96 h forecasts with hourly outputs of 10 chemical species/aerosols (O3, NO2, SO2, CO, PM10, PM2.5, NO, NH3, total NMVOCs and PAN + PAN precursors) over 8 vertical levels from the surface to 5 km height. The hourly analysis at the surface is done a posteriori for the past day using a selection of representative air quality data from European monitoring stations. The performances of the system are assessed daily, weekly and 3 monthly (seasonally) through statistical indicators calculated using the available representative air quality data from European monitoring stations. Results for a case study show the ability of the median ensemble to forecast regional ozone pollution events. The time period of this case study is also used to illustrate that the median ensemble generally outperforms each of the individual models and that it is still robust even if two of the seven models are missing. The seasonal performances of the individual models and of the multi-model ensemble have been monitored since September 2009 for ozone, NO2 and PM10 and show an overall improvement over time. The change of the skills of the ensemble over the past two summers for ozone and the past two winters for PM10 are discussed in the paper. While the evolution of the ozone scores is not significant, there are improvements of PM10 over the past two winters that can be at least partly attributed to new developments on aerosols in the seven individual models. Nevertheless, the year to year changes in the models and ensemble skills are also linked to the variability of the meteorological conditions and of the set of observations used to calculate the statistical indicators. In parallel, a scientific analysis of the results of the seven models and of the ensemble is also done over the Mediterranean area because of the specificity of its meteorology and emissions. The system is robust in terms of the production availability. Major efforts have been done in MACC-II towards the operationalisation of all its components. Foreseen developments and research for improving its performances are discussed in the conclusion.

scholarly journals Handling Complex Missing Data Using Random Forest Approach for an Air Quality Monitoring Dataset: A Case Study of Kuwait Environmental Data (2012 to 2018)

2021 ◽  
Vol 18 (3) ◽  
pp. 1333
Author(s):  
Ahmad R. Alsaber ◽  
Jiazhu Pan ◽  
Adeeba Al-Hurban 
Keyword(s):  
Air Quality ◽  
Missing Data ◽  
Random Forest ◽  
Missing Values ◽  
Imputation Method ◽  
Environmental Data ◽  
Environmental Research ◽  
Quality Data ◽  
Data Set ◽  
Air Quality Data

In environmental research, missing data are often a challenge for statistical modeling. This paper addressed some advanced techniques to deal with missing values in a data set measuring air quality using a multiple imputation (MI) approach. MCAR, MAR, and NMAR missing data techniques are applied to the data set. Five missing data levels are considered: 5%, 10%, 20%, 30%, and 40%. The imputation method used in this paper is an iterative imputation method, missForest, which is related to the random forest approach. Air quality data sets were gathered from five monitoring stations in Kuwait, aggregated to a daily basis. Logarithm transformation was carried out for all pollutant data, in order to normalize their distributions and to minimize skewness. We found high levels of missing values for NO2 (18.4%), CO (18.5%), PM10 (57.4%), SO2 (19.0%), and O3 (18.2%) data. Climatological data (i.e., air temperature, relative humidity, wind direction, and wind speed) were used as control variables for better estimation. The results show that the MAR technique had the lowest RMSE and MAE. We conclude that MI using the missForest approach has a high level of accuracy in estimating missing values. MissForest had the lowest imputation error (RMSE and MAE) among the other imputation methods and, thus, can be considered to be appropriate for analyzing air quality data.

Sign in / Sign up

Export Citation Format

Share Document