scholarly journals Preliminary research for low-cost particulate matter sensor network

2019 ◽  
Vol 100 ◽  
pp. 00004 ◽  
Author(s):  
Csongor Báthory ◽  
Márton L. Kiss ◽  
Attila Trohák ◽  
Zsolt Dobó ◽  
Árpád Bence Palotás
Keyword(s):  
Particulate Matter ◽  
Calculation Method ◽  
High Spatial Resolution ◽  
Low Cost ◽  
Pearson Correlation ◽  
Load Test ◽  
Air Quality Measurements ◽  
Protective Cover ◽  
Preliminary Research

Low-cost particulate matter (PM) sensors may be suitable for indicative air quality measurements thanks to their small dimensions and high spatial resolution. Three different sensor types were selected for investigation in this study with specific focus on a Honeywell HPMA115S0 sensor to find out its usability at outdoors, perform load and long-term tests. The load test showed that the sensor calculates PM10 based on measured PM2.5 values. The analysis shows a break in calculation method at 25 μg/m3 PM2.5, and the calculation method for PM10 varies from 25 μg/m3 by around 81 μg/m3. Parallel test performed with different sensor types has shown that the protective cover formed by lamellar exterior does not affect the accuracy of the sensors, no accumulation or loss of sensitivity occurs. Long-term measurements have shown that the concentration values measured by the Honeywell sensor during outdoor measurements require humidity compensation, over 90% relative humidity (RH) the Pearson correlation coefficient (R) between the reference and sensor PM2.5 concentrations decreased by 0.3.

Long-term field evaluation of the Plantower PMS low-cost particulate matter sensors

2019 ◽  
Vol 245 ◽  
pp. 932-940 ◽  
Author(s):  
T. Sayahi ◽  
A. Butterfield ◽  
K.E. Kelly
Keyword(s):  
Particulate Matter ◽  
Low Cost ◽  
Field Evaluation ◽  
Term Field

scholarly journals Author Correction: Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Florentin M. J. Bulot ◽  
Steven J. Johnston ◽  
Philip J. Basford ◽  
Natasha H. C. Easton ◽  
Mihaela Apetroaie-Cristea ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Urban Environment ◽  
Low Cost ◽  
Term Field

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

scholarly journals Long-term behavior and stability of calibration models for NO and NO<sub>2</sub> low cost sensors

2022 ◽  
Author(s):  
Horim Kim ◽  
Michael Müller ◽  
Stephan Henne ◽  
Christoph Hüglin
Keyword(s):  
Electrochemical Sensors ◽  
Low Cost ◽  
Air Pollutant ◽  
Coefficient Of Determination ◽  
Monitoring Networks ◽  
Pollution Levels ◽  
Pollutant Concentrations ◽  
Air Quality Measurements ◽  
One Year

Abstract. Low-cost sensors are considered as exhibiting great potential to complement classical air quality measurements in existing monitoring networks. However, the use of low-cost sensors poses some challenges. In this study, the behavior and performance of electrochemical sensors for NO and NO2 were determined over a longer operating period in a real-world deployment. After careful calibration of the sensors, based on co-location with reference instruments at a rural traffic site during six months and by using robust linear regression and random forest regression, the coefficient of determination of both types of sensors were high (R2 > 0.9) and the root mean square error (RMSE) of NO and NO2 sensors were about 6.8 ppb and 3.5 ppb, respectively, for 10-minute mean concentrations. The RMSE of the NO2 sensors, however, more than doubled, when the sensors were deployed without re-calibration for a one-year period at other site types (including urban background locations), where the range and the variability of air pollutant concentrations differed from the calibration site. This indicates a significant effect of the re-location of the sensors on the quality of their data. During deployment, we found that the NO2 sensors are capable of distinguishing general pollution levels, but they proved unsuitable for accurate measurements, mainly due to significant biases. In order to investigate the long-term stability of the original calibration, the sensors were re-installed at the calibration site after deployment. Surprisingly, the coefficient of determination and the RMSE of the NO sensor remained almost unchanged after more than one year of operation. In contrast, the performance of the NO2 sensors clearly deteriorated as indicated by a higher RMSE (about 7.5 ppb, 10-minute mean concentrations) and a lower coefficient of determination (R2 = 0.59).

scholarly journals Field Evaluation of Low-Cost Particulate Matter Sensors in Beijing

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4381 ◽  
Author(s):  
Han Mei ◽  
Pengfei Han ◽  
Yinan Wang ◽  
Ning Zeng ◽  
Di Liu ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Low Cost ◽  
Field Evaluation ◽  
Dust Storms ◽  
Relative Bias ◽  
Miniaturized Sensors ◽  
Beijing China ◽  
Pm2.5 Concentration

Numerous particulate matter (PM) sensors with great development potential have emerged. However, whether the current sensors can be used for reliable long-term field monitoring is unclear. This study describes the research and application prospects of low-cost miniaturized sensors in PM2.5 monitoring. We evaluated five Plantower PMSA003 sensors deployed in Beijing, China, over 7 months (October 2019 to June 2020). The sensors tracked PM2.5 concentrations, which were compared to the measurements at the national control monitoring station of the Ministry of Ecology and Environment (MEE) at the same location. The correlations of the data from the PMSA003 sensors and MEE reference monitors (R2 = 0.83~0.90) and among the five sensors (R2 = 0.91~0.98) indicated a high accuracy and intersensor correlation. However, the sensors tended to underestimate high PM2.5 concentrations. The relative bias reached −24.82% when the PM2.5 concentration was >250 µg/m3. Conversely, overestimation and high errors were observed during periods of high relative humidity (RH > 60%). The relative bias reached 14.71% at RH > 75%. The PMSA003 sensors performed poorly during sand and dust storms, especially for the ambient PM10 concentration measurements. Overall, this study identified good correlations between PMSA003 sensors and reference monitors. Extreme field environments impact the data quality of low-cost sensors, and future corrections remain necessary.

scholarly journals Investigation of Low-Cost and Optical Particulate Matter Sensors for Ambient Monitoring

Atmosphere ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1040
Author(s):  
Mariusz Rogulski ◽  
Artur Badyda
Keyword(s):  
Particulate Matter ◽  
Relative Humidity ◽  
Low Cost ◽  
Reference Station ◽  
Correction Function ◽  
Maximum Temperature ◽  
Large Set ◽  
Campaign Evaluation ◽  
The Impact

This article presents a long-term evaluation of low-cost particulate matter (PM) sensors in a field measurements campaign. Evaluation was performed in two phases. During the first five months of the campaign, two PM sensors were simultaneously compared with the results from the reference air quality monitoring station in various atmospheric conditions—from the days with freezing cold (minimum temperature below −10 °C) and high relative humidity (up to 95%) to the days with the maximum temperature above 30 °C and low relative humidity (at the level of 25%). Based on the PM10 measurements, the correlation coefficients for both devices in relation to the reference station were determined (r = 0.91 and r = 0.94, respectively), as well as the impact of temperature and relative humidity on measurements from the low-cost sensors in relation to the reference values. The correction function was formulated based on this large set of low-cost PM10 measurements and referential values. The effectiveness of the corrective function was verified during the second measurement campaign carried out in the city of Nowy Sącz (located in southern Poland) for the same five months in the following year. The absolute values of the long-term percentage errors obtained after adjustment were reduced to a maximum of about 20%, and the average percentage errors were usually around 10%.

scholarly journals Long-term field Evaluation of Low-cost Particulate Matter Sensors in Nanjing

2020 ◽  
Vol 20 (2) ◽  
pp. 242-253 ◽  
Author(s):  
Lu Bai ◽  
Lin Huang ◽  
Zhenglu Wang ◽  
Qi Ying ◽  
Jun Zheng ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Low Cost ◽  
Field Evaluation ◽  
Term Field

scholarly journals Personal Exposure Estimates via Portable and Wireless Sensing and Reporting of Particulate Pollution

2020 ◽  
Vol 17 (3) ◽  
pp. 843
Author(s):  
Harsshit Agrawaal ◽  
Courtney Jones ◽  
J.E. Thompson
Keyword(s):  
Particulate Matter ◽  
Real Time ◽  
Low Cost ◽  
Personal Exposure ◽  
Transmission Cycle ◽  
Particulate Pollution ◽  
Air Quality Measurements ◽  
Data Points ◽  
Arduino Uno ◽  
Replicate Measurements

Low-cost, portable particle sensors (n = 3) were designed, constructed, and used to monitor human exposure to particle pollution at various locations and times in Lubbock, TX. The air sensors consisted of a Sharp GP2Y1010AU0F dust sensor interfaced to an Arduino Uno R3, and a FONA808 3G communications module. The Arduino Uno was used to receive the signal from calibrated dust sensors to provide a concentration (µg/m3) of suspended particulate matter and coordinate wireless transmission of data via the 3G cellular network. Prior to use for monitoring, dust sensors were calibrated against a reference aerosol monitor (RAM-1) operating independently. Sodium chloride particles were generated inside of a 3.6 m3 mixing chamber while the RAM-1 and each dust sensor recorded signals and calibration was achieved for each dust sensor independently of others by direct comparison with the RAM-1 reading. In an effort to improve the quality of the data stream, the effect of averaging replicate individual pulses of the Sharp sensor when analyzing zero air has been studied. Averaging data points exponentially reduces standard deviation for all sensors with n < 2000 averages but averaging produced diminishing returns after approx. 2000 averages. The sensors exhibited standard deviations for replicate measurements of 3–6 µg/m3 and corresponding 3σ detection limits of 9–18 µg/m3 when 2000 pulses of the dust sensor LED were averaged over an approx. 2 min data collection/transmission cycle. To demonstrate portable monitoring, concentration values from the dust sensors were sent wirelessly in real time to a ThingSpeak channel, while tracking the sensor’s latitude and longitude using an on-board Global Positioning System (GPS) sensor. Outdoor and indoor air quality measurements were made at different places and times while human volunteers carried sensors. The measurements indicated walking by restaurants and cooking at home increased the exposure to particulate matter. The construction of the dust sensors and data collected from this research enhance the current research by describing an open-source concept and providing initial measurements. In principle, sensors can be massively multiplexed and used to generate real-time maps of particulate matter around a given location.

Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

2019 ◽  
Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Fine Particle ◽  
Low Cost ◽  
Particle Mass ◽  
Long Term Performance ◽  
Term Performance

Leaded Aviation Fuel May Present Long-Term Effects on Campus Life from the Adjacent Albert Whitted Airport

2020 ◽  
Author(s):  
Joseph Matthews ◽  
Madhu Pandey
Keyword(s):  
United States ◽  
Particulate Matter ◽  
The United States ◽  
Aviation Fuel ◽  
University Campus ◽  
Long Term Effects ◽  
Aviation Gasoline ◽  
Suspended Particulate ◽  
Descent Line

Propeller planes and small engine aircraft around the United States, legally utilize leaded aviation gasoline. The purpose of this experiment was to collect suspended particulate matter from a university campus, directly below an airport’s arriving flight path’s descent line, and to analyze lead content suspended in the air. Two collection sets of three separate samples were collected on six separate days, one set in July of 2018 and the second set in January 2019.

Low cost HAB platform to measure particulate matter in the troposphere

2016 ◽  
Author(s):  
Mark J. Potosnak ◽  
Bernhard Beck-Winchatz ◽  
Paul Ritter ◽  
Emily Dawson
Keyword(s):  
Particulate Matter ◽  
Low Cost
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