scholarly journals Understanding the ability of low-cost MOx sensors to quantify ambient VOCs

2019 ◽  
Vol 12 (3) ◽  
pp. 1441-1460 ◽  
Author(s):  
Ashley M. Collier-Oxandale ◽  
Jacob Thorson ◽  
Hannah Halliday ◽  
Jana Milford ◽  
Michael Hannigan
Keyword(s):  
Air Quality ◽  
New Technologies ◽  
Low Cost ◽  
Quality Measurement ◽  
Proton Transfer Reaction ◽  
Unique Challenge ◽  
Multiple Sensors ◽  
Mox Sensors ◽  
The Impact ◽  
Insight Into

Abstract. Volatile organic compounds (VOCs) present a unique challenge in air quality research given their importance to human and environmental health, and their complexity to monitor resulting from the number of possible sources and mixtures. New technologies, such as low-cost air quality sensors, have the potential to support existing air quality measurement methods by providing data in high time and spatial resolution. These higher-resolution data could provide greater insight into specific events, sources, and local variability. Furthermore, given the potential for differences in selectivities for sensors, leveraging multiple sensors in an array format may even be able to provide insight into which VOCs or types of VOCs are present. During the FRAPPE and DISCOVER-AQ monitoring campaigns, our team was able to co-locate two sensor systems, using metal oxide (MOx) VOC sensors, with a proton-transfer-reaction quadrupole mass spectrometer (PTR-QMS) providing speciated VOC data. This dataset provided the opportunity to explore the ability of sensors to estimate specific VOCs and groups of VOCs in real-world conditions, e.g., dynamic temperature and humidity. Moreover, we were able to explore the impact of changing VOC compositions on sensor performance as well as the difference in selectivities of sensors in order to consider how this could be utilized. From this analysis, it seems that systems using multiple VOC sensors are able to provide VOC estimates at ambient levels for specific VOCs or groups of VOCs. It also seems that this performance is fairly robust in changing VOC mixtures, and it was confirmed that there are consistent and useful differences in selectivities between the two MOx sensors studied. While this study was fairly limited in scope, the results suggest that there is the potential for low-cost VOC sensors to support highly resolved ambient hydrocarbon measurements. The availability of this technology could enhance research and monitoring for public health and communities impacted by air toxics, which in turn could support a better understanding of exposure and actions to reduce harmful exposure.

scholarly journals Understanding the ability of low-cost MOx sensors to quantify ambient VOCs

2018 ◽  
Author(s):  
Ashley M. Collier-Oxandale ◽  
Jacob Thorson ◽  
Hannah Halliday ◽  
Jana Milford ◽  
Michael Hannigan
Keyword(s):  
Air Quality ◽  
New Technologies ◽  
Low Cost ◽  
Quality Measurement ◽  
Proton Transfer Reaction ◽  
Unique Challenge ◽  
Mox Sensors ◽  
The Impact ◽  
Insight Into ◽  
Resolution Data

Abstract. Volatile organic compounds (VOCs) present a unique challenge in air quality research given their importance to human and environmental health, and their complexity to monitor resulting from the number of possible sources and mixtures. New technologies, such as low-cost air quality sensors have the potential to support existing air quality measurement methods by providing high time and spatial resolution data. This higher resolution data could provide greater insight into specific events, sources, and local variability. Furthermore, given the potential for differences in selectivities for sensors, leveraging multiple sensors in an array format may even be able to provide insight into which VOCs or types of VOCs are present. During the FRAPPE/DISCOVER-AQ monitoring campaigns, our team was able to co-locate two sensor systems, using metal oxide (MOx) VOC sensors, with a proton-transfer-reaction mass spectrometer (PTR-MS) providing speciated VOC data. This dataset provided the opportunity to explore the ability of sensors to estimate specific VOCs and groups of VOCs in real-world conditions, e.g., dynamic temperature and humidity. Moreover, we were able to explore the impact of changing VOC compositions on sensor performance as well as the difference in selectivities of sensors in order to consider how this could be utilized. From this analysis, it seems that systems using multiple VOC sensors are able to provide VOC estimates at ambient levels for specific VOCs or groups of VOCs, it also seems that this performance is fairly robust to changing VOC mixtures, and it was confirmed that there are consistent and useful differences in selectivities between the two MOx sensors studied. While this study was fairly limited in scope, the results suggest that there is the potential for low-cost VOC sensors to support highly resolved, ambient hydrocarbon measurements. The availability of this technology could enhance research and monitoring for public health and communities impacted by air toxics, which in turn could support a better understanding of exposure and actions to reduce harmful exposure.

scholarly journals Low-cost sensors for determining the impact of air quality components in workers’ health: protocol for a systematic review.

2019 ◽  
Vol 3 (2) ◽  
pp. 60-66
Author(s):  
Maria Latournerie ◽  
Denisse Bustos ◽  
Joana Guedes
Keyword(s):  
Systematic Review ◽  
Air Quality ◽  
New Technologies ◽  
Low Cost ◽  
Coastal Areas ◽  
Atmospheric Pollutants ◽  
Monitoring And Control ◽  
Negative Effects ◽  
Human Needs ◽  
The Impact

Due to the disproportionate growth of the population, human needs have been changing drastically, thus breaking their expected balance with nature. Industrialization and demands of new technologies imply the application of processes that require more energy, which, used in an unsustainable way, contributes to a decrease of the air quality, affecting the quality of life and the variation in Earth's climate system. This has a serious impact on both people's health and national economies because of the increase of absenteeism and mortality rates of workers caused by diseases related to exposure to high amounts of pollutants. The increased tourism in coastal areas requires the efficient attendance of these needs as there is nowadays a great variety of activities that emit atmospheric pollutants in those areas (grills, recreational activities, transportation). A systematic review is proposed to identify the methods used in the monitoring and control of the amounts of outdoor air pollutants, specifically CO2 and PM 2.5, to determine the relationship between workers' exposure to the bad quality air in coastal areas during their working days and respiratory and cardiovascular diseases, that would allow creating programs and actions to reduce these negative effects. As a result, this systematic review protocol aims to define the criteria to develop research able to fulfill this purpose. It is based in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) Statement.

scholarly journals Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3338
Author(s):  
Ivan Vajs ◽  
Dejan Drajic ◽  
Nenad Gligoric ◽  
Ilija Radovanovic ◽  
Ivan Popovic
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Relative Humidity ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Lower Accuracy ◽  
Wide Range ◽  
The Impact ◽  
Monitoring Stations

Existing government air quality monitoring networks consist of static measurement stations, which are highly reliable and accurately measure a wide range of air pollutants, but they are very large, expensive and require significant amounts of maintenance. As a promising solution, low-cost sensors are being introduced as complementary, air quality monitoring stations. These sensors are, however, not reliable due to the lower accuracy, short life cycle and corresponding calibration issues. Recent studies have shown that low-cost sensors are affected by relative humidity and temperature. In this paper, we explore methods to additionally improve the calibration algorithms with the aim to increase the measurement accuracy considering the impact of temperature and humidity on the readings, by using machine learning. A detailed comparative analysis of linear regression, artificial neural network and random forest algorithms are presented, analyzing their performance on the measurements of CO, NO2 and PM10 particles, with promising results and an achieved R2 of 0.93–0.97, 0.82–0.94 and 0.73–0.89 dependent on the observed period of the year, respectively, for each pollutant. A comprehensive analysis and recommendations on how low-cost sensors could be used as complementary monitoring stations to the reference ones, to increase spatial and temporal measurement resolution, is provided.

scholarly journals THE EFFECTS OF ENVIRONMENTAL ISSUES ON RESIDENTIAL HOUSE PRICE (IN THE CASE OF ULAANBAATAR CITY)

2018 ◽  
pp. 117-130
Author(s):  
Oyunjargal D ◽  
Byambatseren Ch
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
House Price ◽  
Measurement Data ◽  
Quality Measurement ◽  
Air Quality Index ◽  
Quality Level ◽  
Average Price ◽  
Residential House ◽  
The Impact

The purpose of this research is to determine the impact of the environment, especially the quality of air on house price. In addition, it also includes the research of the linkage between the index of air quality and average price of residential house which located in the most crowded districts of Ulaanbaatar such as Bayangol, Bayanzurkh, Chingeltei, Sukhbaatar, Songinokhairkhan and Khan-Uul. The statistical analysis and statistics determination methods were applied to identify the relationship utilizing the air quality index, determined from the air quality measurement data recorded in 2015-2017, and the average price per square meter of newly built apartment houses in the selected districts. The research findings suggest that there is little direct link between the house prices and air quality level, and the air quality levels of Ulaanbaatar districts do not have a significant impact on the price per square meter. Therefore, the air quality index should not considered as a house price determinant.

Solution to the Problem of Calibration of Low-Cost Air Quality Measurement Sensors in Networks

ACS Sensors ◽  
2018 ◽  
Vol 3 (4) ◽  
pp. 832-843 ◽  
Author(s):  
Georgia Miskell ◽  
Jennifer A. Salmond ◽  
David E. Williams
Keyword(s):  
Air Quality ◽  
Low Cost ◽  
Quality Measurement

scholarly journals Design and Implementation of Portable Outdoor Air Quality Measurement System using Arduino

2018 ◽  
Vol 8 (1) ◽  
pp. 280 ◽  
Author(s):  
Teddy Surya Gunawan ◽  
Yasmin Mahira Saiful Munir ◽  
Mira Kartiwi ◽  
Hasmah Mansor
Keyword(s):  
Air Quality ◽  
Measurement System ◽  
Low Cost ◽  
Public Awareness ◽  
Quality Measurement ◽  
Cost Effective ◽  
Ground Level ◽  
Air Pollutant ◽  
Ground Level Ozone ◽  
Air Quality Monitoring Stations

Recently, there is increasing public awareness of the real time air quality due to air pollution can cause severe effects to human health and environments. The Air Pollutant Index (API) in Malaysia is measured by Department of Environment (DOE) using stationary and expensive monitoring station called Continuous Air Quality Monitoring stations (CAQMs) that are only placed in areas that have high population densities and high industrial activities. Moreover, Malaysia did not include particulate matter with the size of less than 2.5μm (PM2.5) in the API measurement system. In this paper, we present a cost effective and portable air quality measurement system using Arduino Uno microcontroller and four low cost sensors. This device allows people to measure API in any place they want. It is capable to measure the concentration of carbon monoxide (CO), ground level ozone (O3) and particulate matters (PM10 & PM2.5) in the air and convert the readings to API value. This system has been tested by comparing the API measured from this device to the current API measured by DOE at several locations. Based on the results from the experiment, this air quality measurement system is proved to be reliable and efficient.

scholarly journals Temperature response measurements from eucalypts give insight into the impact of Australian isoprene emissions on air quality in 2050

2020 ◽  
Vol 20 (10) ◽  
pp. 6193-6206
Author(s):  
Kathryn M. Emmerson ◽  
Malcolm Possell ◽  
Michael J. Aspinwall ◽  
Sebastian Pfautsch ◽  
Mark G. Tjoelker
Keyword(s):  
Air Quality ◽  
Transport Model ◽  
Temperature Response ◽  
Emission Factors ◽  
Eucalyptus Species ◽  
Chemical Transport Model ◽  
Mixing Ratios ◽  
The Impact ◽  
Temperature Responses ◽  
Insight Into

Abstract. Predicting future air quality in Australian cities dominated by eucalypt emissions requires an understanding of their emission potentials in a warmer climate. Here we measure the temperature response in isoprene emissions from saplings of four different Eucalyptus species grown under current and future average summertime temperature conditions. The future conditions represent a 2050 climate under Representative Concentration Pathway 8.5, with average daytime temperatures of 294.5 K. Ramping the temperature from 293 to 328 K resulted in these eucalypts emitting isoprene at temperatures 4–9 K higher than the default maximum emission temperature in the Model of Emissions of Gases and Aerosols from Nature (MEGAN). New basal emission rate measurements were obtained at the standard conditions of 303 K leaf temperature and 1000 µmol m−2 s−1 photosynthetically active radiation and converted into landscape emission factors. We applied the eucalypt temperature responses and emission factors to Australian trees within MEGAN and ran the CSIRO Chemical Transport Model for three summertime campaigns in Australia. Compared to the default model, the new temperature responses resulted in less isoprene emission in the morning and more during hot afternoons, improving the statistical fit of modelled to observed ambient isoprene. Compared to current conditions, an additional 2 ppb of isoprene is predicted in 2050, causing hourly increases up to 21 ppb of ozone and 24-hourly increases of 0.4 µg m−3 of aerosol in Sydney. A 550 ppm CO2 atmosphere in 2050 mitigates these peak Sydney ozone mixing ratios by 4 ppb. Nevertheless, these forecasted increases in ozone are up to one-fifth of the hourly Australian air quality limit, suggesting that anthropogenic NOx should be further reduced to maintain healthy air quality in future.

scholarly journals Wireless Sensor Network for Low-cost Air Quality Measurement

2018 ◽  
Vol 1065 ◽  
pp. 192004 ◽  
Author(s):  
M Carratù ◽  
M Ferro ◽  
A Pietrosanto ◽  
P Sommella
Keyword(s):  
Wireless Sensor Network ◽  
Air Quality ◽  
Sensor Network ◽  
Low Cost ◽  
Quality Measurement ◽  
Wireless Sensor

scholarly journals AVIATOR - Assessing aViation emission Impact on local Air quality at airports: TOwards Regulation

2019 ◽  
Vol 304 ◽  
pp. 02023
Author(s):  
Víctor Archilla ◽  
Dévora Hormigo ◽  
María Sánchez-García ◽  
David Raper
Keyword(s):  
Air Quality ◽  
Low Cost ◽  
Aircraft Engine ◽  
Climatic Conditions ◽  
Test Cell ◽  
Gaseous Emissions ◽  
Aircraft Emissions ◽  
Gaseous Species ◽  
Assessment Approach ◽  
The Impact

Emissions from aircraft have adverse effects on the air quality in and around airports, contributing to public health concerns within neighbouring communities. AVIATOR will adopt a multi-level measurement, modelling and assessment approach to develop an improved description and quantification of the relevant aircraft engine emissions, and their impact on air quality under different climatic conditions. Particulate and gaseous emissions in a test cell and on-wing from an in-service aircraft will be measured to determine pollutant plume evolution from the engine and APU exhaust. This will provide an enhanced understanding of primary emitted pollutants, specifically the nvPM and vPM (down to 10nm), and the scalability between the regulatory test cell and real environments. AVIATOR will develop and deploy a proof-of-concept low cost sensor network for monitoring UFP, PM and gaseous species across multiple airports and surrounding communities. Campaigns will be complemented by high-fidelity modelling of aircraft exhaust dynamics, microphysical and chemical processes within the plume. CFD, box, and airport air quality models will be applied, providing validated parameterisations of the relevant processes, applicable to standard dispersion modelling on the local scale. Working with the regulatory community, AVIATOR will develop improved guidance on measuring and modelling the impact of aircraft emissions, and will provide airports and regulators with tools and guidance to improve the assessment of air quality in and around airports.

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