scholarly journals Illinois - High-Level Commitment Key to Air Quality Success

2007 ◽  
Author(s):  
Keyword(s):  
Air Quality ◽  
High Level

scholarly journals Effect of Air Purifier Use in the Classrooms on Indoor Air Quality—Case Study

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1606
Author(s):  
Małgorzata Basińska ◽  
Michał Michałkiewicz ◽  
Katarzyna Ratajczak
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Purification ◽  
Portable Devices ◽  
Microscopic Fungi ◽  
Before And After ◽  
Air Purifier ◽  
High Level

Dissatisfaction with indoor air quality is common even in relatively new or renovated Polish school buildings. To improve air quality in educational buildings, portable devices have seen increased use, for which manufacturers guarantee a high level of indoor air purification. However, their optimized operation largely depends on their correct use. The aim of this article was to determine the effectiveness of air purification in a primary school using an air purification device with an analysis of the classroom indoor air quality (IAQ). Two criteria were used, microbiological and particulate matter concentration. Measurements were made before device installation and during its continuous operation, and before and after lessons on chosen days. Measurements related to IAQ did not detect clear differences in the analyzed measurement periods. For microbiological contamination, in the morning before lessons, the total count for all bacteria and microscopic fungi was definitely lower than after lessons. Comparing the periods before and after device installation, no clear tendency for reducing the bacteria count or microscopic fungi occurred during air purifier operation, nor was there any noticeable trend in the reduction of particulate matter. There was no improvement in air quality in the classrooms during the operation of the purification devices.

scholarly journals Air quality analysis through measurement of pb levels in blood using atomic absorption spectrophotometer

2021 ◽  
Vol 1 (2) ◽  
pp. 89-95
Author(s):  
Uitumen Erdenezul
Keyword(s):  
Air Quality ◽  
Atomic Absorption ◽  
Threshold Value ◽  
Daily Activities ◽  
Atomic Absorption Spectrophotometer ◽  
Quality Analysis ◽  
Observational Method ◽  
The Poor ◽  
Pb Exposure ◽  
High Level

Air pollution is a problem that needs attention, especially pollution by heavy metals such as lead (Pb). This research was conducted to measure the levels of Pb in the blood of people who do a lot of daily activities on the highway in the Ulaanbaatar region, Mongolia, so that an overview of the level of exposure to Pb in the air is obtained. The study was conducted using an observational method by measuring the blood directly from the participants using an atomic absorption spectrophotometer. The participants involved were 20 people who met the criteria. The results showed that the average level of Pb in the blood of people who had daily activities on the highway was 8.97 ppm. Where the smallest level is 5.12 ppm and the highest level is 12.06 ppm. This value is far above the threshold value determined by WHO, which is 0.05 ppm. Therefore, it can be concluded that the air quality in the Ulaanbaatar area is in the poor category with a high level of Pb exposure.

scholarly journals The effect of the physical learning environment on students’ health, enjoyment and learning

2017 ◽  
Vol 7 (1) ◽  
pp. 47-55
Author(s):  
Che Nidzam Che Ahmad ◽  
Nurul Jannah Amirul
Keyword(s):  
Air Quality ◽  
Learning Environment ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Classroom Environment ◽  
Physical Environment ◽  
Classroom Learning Environment ◽  
Science Students ◽  
Physical Learning Environment ◽  
High Level

This study was conducted to analyze the suitability of the physical classroom learning environment and its effect on students’ health, enjoyment and learning. The participants of this study were 400 form four science students from six secondary schools in Johor, Malaysia. Students’ perception on physical aspects and its effect were measured using Physical Aspects Classroom Environment Inventory (PACE). The PACE consists of nine constructs. Six constructs which were furniture, facilities, space, lighting, indoor air quality and colour were used to measure the suitability of the physical classroom environment. While three constructs which were health, enjoyment, and learning were used to measure the effects of physical environment on students. The findings revealed that students perceived the suitability of physical environment is at high level for furniture, facilities, and lighting aspects, while moderate level for indoor air quality, space, and colour aspects. Results also showed that students perceived the physical environment have moderate effect on student’s health, enjoyment, and learning. Further analysis indicated that the physical environment have significant impact on students’ health, enjoyment and learning. These results provide valuable feedback to institutions and to educators in setting their learning environment.

scholarly journals Comparison of different models for assessing air quality in Krasnoyarsk using satellite data

2020 ◽  
Vol 223 ◽  
pp. 03022
Author(s):  
Konstantin Krasnoshchekov ◽  
Oleg Yakubailik
Keyword(s):  
Particulate Matter ◽  
Comparative Analysis ◽  
Air Quality ◽  
Spatial Resolution ◽  
Satellite Data ◽  
Atmospheric Pollution ◽  
Research Network ◽  
Coefficient Of Determination ◽  
High Level ◽  
The Relationship

Methods for estimating the atmospheric pollution of Krasnoyarsk by particulate matter based on satellite data on the aerosol optical depth (AOD) are considered. Satellite data from the MODIS MAIAC algorithm with a spatial resolution of 1 km are used together with data from the ground-based PM2.5 environmental monitoring stations of the FRC KSC SB RAS research network. A comparative analysis of the relationship between the calculated values of PM2.5 obtained from AOD data and ground- based measurements of PM2.5 in the summer of 2019 is presented. Various models of the relationship between these parameters were investigated, and a high level of correlation of these values was obtained. The calculated coefficient of determination was about 0.7.

scholarly journals A Statistical Model for Shutdowns due to Air Quality Control for a Copper Production Decision Support System

Organizacija ◽  
2015 ◽  
Vol 48 (3) ◽  
pp. 198-202
Author(s):  
Khalid Aboura
Keyword(s):  
Quality Control ◽  
Decision Support ◽  
Air Quality ◽  
Decision Support System ◽  
Statistical Model ◽  
Support System ◽  
Copper Production ◽  
Production Facility ◽  
Air Quality Control ◽  
High Level

Abstract Background: In the mid-1990s, a decision support system for copper production was developed for one of the largest mining companies in Australia. The research was conducted by scientists from the largest Australian research center and involved the use of simulation to analyze options to increase production of a copper production facility. Objectives: We describe a statistical model for shutdowns due to air quality control and some of the data analysis conducted during the simulation project. We point to the fact that the simulation was a sophisticated exercise that consisted of many modules and the statistical model for shutdowns was essential for valid simulation runs. Method: The statistical model made use of a full year of data on daily downtimes and used a combination of techniques to generate replications of the data. Results: The study was conducted with a high level of cooperation between the scientists and the mining company. This contributed to the development of accurate estimates for input into a support system with an EXCEL based interface. Conclusion: The environmental conditions affected greatly the operations of the production facility. A good statistical model was essential for the successful simulation and the high budget expansion decision that ensued.

scholarly journals On the Mismatches between the Monetary and Social Values of Air Purification in the Colombian Andean Region: A Case Study

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1274
Author(s):  
Andres Suarez ◽  
Cesar Ruiz-Agudelo ◽  
Edisson Castro-Escobar ◽  
Gloria Y. Flórez-Yepes ◽  
Luis A. Vargas-Marín
Keyword(s):  
Ecosystem Services ◽  
Air Quality ◽  
Economic Value ◽  
Air Purification ◽  
Quality Improvements ◽  
Pollution Levels ◽  
Monetary Value ◽  
High Level ◽  
Contingent Valuation Methods ◽  
Social Importance

There is growing interest in air quality and air purification, due to current high pollution levels, their effects on human health, and implications for urban economies. Since the improvement of air quality carries important economic value, air-related benefits have been evaluated monetarily from two perspectives: the first relates to air quality improvements, while the second values air purification as an ecosystem function. This research opted for the second perspective, given that the study area (two Colombian municipalities) does not suffer from poor air quality conditions, but stakeholders prioritized this function as highly important to them. Contingent valuation methods were applied in order to identify the population’s probability of willingness to maintain the air purification function. Although individuals (n = 245) attribute a yearly monetary value of USD 1.5 million to air purification, it was found that, despite the high level of social importance that respondents assigned to air purification (mean = 4.7/5), this had no correlation with payment values (rho = 0.0134, p = 0.8350); that is, households do not really recognize the monetary value of all the benefits they receive or the benefits they would lose if the service suffers changes. Hence, it is posed that monetary values do not necessarily reflect the social importance that individuals assign to ecosystem services, and attention is called to the need to integrate social and monetary values into decision-making processes, so as to encompass the complexity of ecosystem services and conciliate conflicting valuation language.

scholarly journals Understanding the True Effects of the COVID-19 Lockdown on Air Pollution by Means of Machine Learning

2020 ◽  
Author(s):  
Mario Lovric ◽  
Kristina Pavlović ◽  
Matej Vuković ◽  
Stuart K. Grange ◽  
Michael Haberl ◽  
...  
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Average Concentration ◽  
Pollutant Concentration ◽  
Learning Approach ◽  
Traffic Flows ◽  
Economic Activities ◽  
Machine Learning Approach ◽  
Validation Set ◽  
High Level

During March, 2020, most European countries implemented lockdowns to restrict the transmission of SARS-CoV-2, the virus which causes COVID-19 through their populations. These restrictions had positive impacts for air quality due to a dramatic reduction of economic activity and emissions. In this work, a machine learning approach was designed and implemented to analyze local air quality improvements during the COVID-19 lockdown in Graz, Austria. The machine learning approach was used as a robust alternative to simple, historical measurement comparisons for various individual pollutants. Concentrations of NO2 (nitrogen dioxide), PM10, O3 (ozone) and Ox (total oxidant) were selected from five measurement sites in Graz and were set as target variables for random forest regression models to predict their expected values during the city's lockdown period. The true vs. expected difference is presented here as an indicator of true pollution during the lockdown. The machine learning models showed a high level of generalization for predicting the concentrations. Therefore, the approach was suitable for analyzing reductions in pollution concentrations. Results on the validation set showed very good performance for Ox and NO2 when compared to PM10 and O3. The analysis indicated that the city’s average concentration reductions for the lockdown period were: -36.9 to -41.6%, and -6.6 to -14.2% for NO2 and PM10, respectively. However, an increase of 11.6 to 33.8% for O3 was estimated. The reduction in pollutant concentration, especially NO2 can be explained by significant drops in traffic-flows during the lockdown period (-51.6 to -43.9%). The results presented give a real-world example of what pollutant concentration reductions can be achieved by reducing traffic-flows and other economic activities.

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