scholarly journals Community Air Sensor Network (CAIRSENSE) project: evaluation of low-cost sensor performance in a suburban environment in the southeastern United States

2016 ◽  
Vol 9 (11) ◽  
pp. 5281-5292 ◽  
Author(s):  
Wan Jiao ◽  
Gayle Hagler ◽  
Ronald Williams ◽  
Robert Sharpe ◽  
Ryan Brown ◽  
...  
Keyword(s):  
United States ◽  
Air Pollution ◽  
Carbon Monoxide ◽  
Sulfur Dioxide ◽  
Sensor Network ◽  
Correlation Coefficient ◽  
Low Cost ◽  
Southeastern United States ◽  
Sensor Technology ◽  
Very High

Abstract. Advances in air pollution sensor technology have enabled the development of small and low-cost systems to measure outdoor air pollution. The deployment of a large number of sensors across a small geographic area would have potential benefits to supplement traditional monitoring networks with additional geographic and temporal measurement resolution, if the data quality were sufficient. To understand the capability of emerging air sensor technology, the Community Air Sensor Network (CAIRSENSE) project deployed low-cost, continuous, and commercially available air pollution sensors at a regulatory air monitoring site and as a local sensor network over a surrounding  ∼ 2 km area in the southeastern United States. Collocation of sensors measuring oxides of nitrogen, ozone, carbon monoxide, sulfur dioxide, and particles revealed highly variable performance, both in terms of comparison to a reference monitor as well as the degree to which multiple identical sensors produced the same signal. Multiple ozone, nitrogen dioxide, and carbon monoxide sensors revealed low to very high correlation with a reference monitor, with Pearson sample correlation coefficient (r) ranging from 0.39 to 0.97, −0.25 to 0.76, and −0.40 to 0.82, respectively. The only sulfur dioxide sensor tested revealed no correlation (r < 0.5) with a reference monitor and erroneously high concentration values. A wide variety of particulate matter (PM) sensors were tested with variable results – some sensors had very high agreement (e.g., r =  0.99) between identical sensors but moderate agreement with a reference PM2.5 monitor (e.g., r =  0.65). For select sensors that had moderate to strong correlation with reference monitors (r > 0.5), step-wise multiple linear regression was performed to determine if ambient temperature, relative humidity (RH), or age of the sensor in number of sampling days could be used in a correction algorithm to improve the agreement. Maximum improvement in agreement with a reference, incorporating all factors, was observed for an NO2 sensor (multiple correlation coefficient R2adj-orig = 0.57, R2adj-final = 0.81); however, other sensors showed no apparent improvement in agreement. A four-node sensor network was successfully able to capture ozone (two nodes) and PM (four nodes) data for an 8-month period of time and show expected diurnal concentration patterns, as well as potential ozone titration due to nearby traffic emissions. Overall, this study demonstrates the performance of emerging air quality sensor technologies in a real-world setting; the variable agreement between sensors and reference monitors indicates that in situ testing of sensors against benchmark monitors should be a critical aspect of all field studies.

scholarly journals Community Air Sensor Network (CAIRSENSE) project: Evaluation of low-cost sensor performance in a suburban environment in the southeastern United States

2016 ◽  
Author(s):  
Wan Jiao ◽  
Gayle Hagler ◽  
Ronald Williams ◽  
Robert Sharpe ◽  
Ryan Brown ◽  
...  
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Quality ◽  
Sulfur Dioxide ◽  
Sensor Network ◽  
Correlation Coefficient ◽  
Low Cost ◽  
Ambient Air ◽  
Sensor Technology ◽  
Sensor Performance

Abstract. Advances in air pollution sensor technology have enabled the development of small and low cost systems to measure outdoor air pollution. The deployment of a large number of sensors across a small geographic area would have potential benefits to supplement traditional monitoring networks with additional geographic and temporal measurement resolution, if the data quality were sufficient. To understand the capability of emerging air sensor technology, the Community Air Sensor Network (CAIRSENSE) project deployed low cost, continuous and commercially-available air pollution sensors at a regulatory air monitoring site and as a local sensor network over a surrounding ~ 2 km area in Southeastern U.S. Co-location of sensors measuring oxides of nitrogen, ozone, carbon monoxide, sulfur dioxide, and particles revealed highly variable performance, both in terms of comparison to a reference monitor as well as whether multiple identical sensors reproduced the same signal. Multiple ozone, nitrogen dioxide, and carbon monoxide sensors revealed low to very high correlation with a reference monitor, with Pearson sample correlation coefficient (r) ranging from 0.39 to 0.97, −0.25 to 0.76, −0.40 to 0.82, respectively. The only sulfur dioxide sensor tested revealed no correlation (r  0.5), step-wise multiple linear regression was performed to determine if ambient temperature, relative humidity (RH), or age of the sensor in sampling days could be used in a correction algorithm to improve the agreement. Maximum improvement in agreement with a reference, incorporating all factors, was observed for an NO2 sensor (multiple correlation coefficient R2adj-orig = 0.57, R2adj-final = 0.81); however, other sensors showed no apparent improvement in agreement. A four-node sensor network was successfully able to capture ozone (2 nodes) and PM (4 nodes) data for an 8 month period of time and show expected diurnal concentration patterns, as well as potential ozone titration due to near-by traffic emissions. Overall, this study demonstrates a straightforward methodology for establishing low-cost air quality sensor performance in a real-world setting and demonstrates the feasibility of deploying a local sensor network to measure ambient air quality trends.

scholarly journals THE IMPACT OF COVID-19 QUARANTINE MEASURES ON THE LEVEL OF AIR POLLUTION IN THE SHCHUCHINSK-BOROVSKAYA RESORT AREA

2021 ◽  
Author(s):  
Maikanov Balgabay ◽  
Auteleeva Laura
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Sulfur Dioxide ◽  
Maximum Permissible Concentration ◽  
Atmospheric Air ◽  
Standard Index ◽  
High Degree ◽  
The Impact ◽  
Very High

In this study, changes in air quality were quantified before and during the introduction of COVID-19 quarantine measures in the Shchuchinsk-Borovskaya resort area. During 2020, there were only 49 resolutions "On strengthening restrictive quarantine measures in the territory of the Akmola region"on the territory of the resort zone. The maximum permissible concentration of sulfur dioxide in the atmospheric air has been exceeded. We have revealed that in the entire territory of the resort area for 2018-2019. atmospheric air pollution, according to the standard index, was elevated and high (3.38 to 6.4), according to the highest frequency (16.6 to 100%), there was a very high degree of pollution, and in 2020, the indicators of the standard index and the highest frequency were within the norm.

scholarly journals Status of Air Pollution Regulations Affecting Gas Turbines in 80 Nations

1974 ◽  
Author(s):  
R. J. Ketterer ◽  
N. R. Dibelius
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Sulfur Dioxide ◽  
Gas Turbines ◽  
Ground Level ◽  
Oxides Of Nitrogen ◽  
Ground Level Concentration ◽  
Pollution Emissions ◽  
Air Pollution Emissions

This paper summarizes regulations from 80 countries covering air pollution emissions from gas turbines. The paper includes emission and ground level concentration standards for particulates, sulfur dioxide, oxides of nitrogen, visible emissions, and carbon monoxide.

scholarly journals Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado

2018 ◽  
Vol 11 (8) ◽  
pp. 4605-4615 ◽  
Author(s):  
Stephen Feinberg ◽  
Ron Williams ◽  
Gayle S. W. Hagler ◽  
Joshua Rickard ◽  
Ryan Brown ◽  
...  
Keyword(s):  
Air Pollution ◽  
Wind Direction ◽  
Low Cost ◽  
Geographic Location ◽  
Field Evaluation ◽  
Time Of Day ◽  
Sensor Technology ◽  
Ambient Conditions ◽  
Data Completeness ◽  
Sampling Campaign

Abstract. Air pollution sensors are quickly proliferating for use in a wide variety of applications, with a low price point that supports use in high-density networks, citizen science, and individual consumer use. This emerging technology motivates the assessment under real-world conditions, including varying pollution levels and environmental conditions. A seven-month, systematic field evaluation of low-cost air pollution sensors was performed in Denver, Colorado, over 2015–2016; the location was chosen to evaluate the sensors in a high-altitude, cool, and dry climate. A suite of particulate matter (PM), ozone (O3), and nitrogen dioxide (NO2) sensors were deployed in triplicate and were collocated with federal equivalent method (FEM) monitors at an urban regulatory site. Sensors were evaluated for their data completeness, correlation with reference monitors, and ability to reproduce trends in pollution data, such as daily concentration values and wind-direction patterns. Most sensors showed high data completeness when data loggers were functioning properly. The sensors displayed a range of correlations with reference instruments, from poor to very high (e.g., hourly-average PM Pearson correlations with reference measurements varied from 0.01 to 0.86). Some sensors showed a change in response to laboratory audits/testing from before the sampling campaign to afterwards, such as Aeroqual, where the O3 response slope changed from about 1.2 to 0.6. Some PM sensors measured wind-direction and time-of-day trends similar to those measured by reference monitors, while others did not. This study showed different results for sensor performance than previous studies performed by the U.S. EPA and others, which could be due to different geographic location, meteorology, and aerosol properties. These results imply that continued field testing is necessary to understand emerging air sensing technology.

scholarly journals ANALISIS KUALITAS UDARA DI KAWASAN PARKIR TRANS STUDIO MAKASSAR

2020 ◽  
Vol 19 (2) ◽  
pp. 229
Author(s):  
Andi Dala Aprilla ◽  
Rafidah Rafidah
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Quality ◽  
Sulfur Dioxide ◽  
Threshold Value ◽  
Quality Standard ◽  
Observational Research ◽  
Air Filter ◽  
Long Time ◽  
Standard Set

ABSTRACT     Air pollution causes changes in the composition of air from its normal state. One of the triggers for air pollution such as Carbon Monoxide (CO) and Sulfur Dioxide (SO2). The presence of CO and SO2 in basements with a certain amount and being in a long time will disrupt human health. The objective of the research is to determine the air quality at Makassar Trans Studio. The design of the research is observational research using descriptive approach through measuring levels of carbon monoxide and sulfur dioxide using Odalog 7000. The result of the research shows that on weekdays the levels of Carbon Monoxide (CO) for daytime were 1.6 bds while at night it was 2.4 bds. While sulfur dioxide (SO2) for the daytime is 0.01 bds while at night is 0 bds. While the holiday of carbon monoxide (CO) for daytime is 3.9 bds while at night is 2.1 bds. While sulfur dioxide (SO2) for the daytime is 0.01 bds while at night is 0 bds. From these results the level of Carbon Monoxide (CO) is still below the specified quality standard (25 bds) and the levels of sulfur dioxide (SO2) are still below the standard set quality (2 bds). Based on the results of the study, it can be concluded that the air quality in parking basement of Makassar Trans Studio is still below the Threshold value according to SNI 19-0232-2005. It is recommended for the mall manager to always supervise and monitor the air filter and place the exhaust fan.

scholarly journals Pollutant emission in the air of Mogilev region

2019 ◽  
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Sulfur Dioxide ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Atmospheric Air ◽  
Low Level ◽  
High Level ◽  
Stationary Sources ◽  
Emission Density

The purpose of this article is to highlight and analysis of trends in total emissions of polluting substances in atmospheric air of Mogilev region. The main material. A brief overview of Belarusian scientistsʹ research in the fi eld of geoecological conditions of atmospheric air is given in the article. The article deals with pollutants accumulation in the air of Mogilev region from various sources. Mobile sources (64.1% in 2015) are mainly responsible for air pollution in the region. In 2015 in comparison with 2010 there was a decrease in pollutant emissions as a result of transport functioning. Sources of pollutants accumulating in the air are exhaust gases from internal combustion engines, crankcase gases and fuel evaporation from fuel systems. Automobiles dominate in the structure of vehicles (85.3% in 2015). The article considers dynamics of pollutant emissions from stationary sources. The majority of pollutants are found in the air because of technological processes. Hydrocarbons and sulfur dioxide prevail in the structure of emissions of these sources. Chemical industry enterprises (Mogilev chemical fiber, Mogilev artificial fiber plant, etc.) are the sources of air pollution. Substances of the 4th and 3d danger classes predominate in the structure of pollutants in Mogilev region. Substances of the 1st and 2nd danger classes are insignificant. Conclusions. As a result of the conducted research uneven territorial distribution of emission density of the main pollutants in the air of Mogilev region has been established. Kostiukovich and Krichevsk districts are characterized by high level of emission density of suspended substances, carbon monoxide, sulfur dioxide in the air from stationary sources. Cherikov district is characterized by a low level of carbon monoxide, sulfur dioxide, nitrogen oxide emissions per unit area. 71.4% of the administrative districts of Mogilev region are characterized by an average density level of carbon monoxide emissions from stationary sources in relation to the average regional level, 14.3% of districts by lower level, 4.8% by low level and 9.5% by high level. It is advisable to improve the production technology, to equip enterprises with new gas cleaning facilities in order to reduce the anthropogenic load on the environment.

scholarly journals Using a Coproduction Approach to Map Future Forest Retention Likelihood in the Southeastern United States

2019 ◽  
Vol 118 (1) ◽  
pp. 28-43
Author(s):  
Rachel E Greene ◽  
Kristine O Evans ◽  
Michael T Gray ◽  
D Todd Jones-Farrand ◽  
William G Wathen
Keyword(s):  
United States ◽  
High Risk ◽  
Southeastern United States ◽  
Southern United States ◽  
Forest Loss ◽  
Spatially Explicit ◽  
High Likelihood ◽  
Land Use Conversion ◽  
Southern States ◽  
Very High

Abstract Forestlands in the Southern United States provide important ecological and socioeconomic services that are under increasing pressure from development and other stressors. We used a coproduction approach with 50+ stakeholders to create a qualitative, spatially explicit Forest Retention Index to provide a gradient of future forest retention likelihood on presently forested lands. An estimated 17.7 million acres are at high risk of forest loss by 2060. These losses are largely driven by urbanization, but sea-level rise plays a key role in some coastal areas. Approximately 59 percent of southern forest is projected to be retained with High or Very High likelihood but is unevenly distributed among southern states. Approximately 8 percent of highly biodiverse forest is at high risk of land-use conversion. This tool provides a collaborative, transparent, and defensible mapping product that can aid in identification of key areas where retaining forest is critical to maintaining ecological and socioeconomic integrity.

Sign in / Sign up

Export Citation Format

Share Document