2019
DOI: 10.3390/atmos10020041
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Performance Assessment of a Low-Cost PM2.5 Sensor for a near Four-Month Period in Oslo, Norway

Abstract: The very low-cost Nova particulate matter (PM) sensor SDS011 has recently drawn attention for its use for measuring PM mass concentration, which is frequently used as an indicator of air quality. However, this sensor has not been thoroughly evaluated in real-world conditions and its data quality is not well documented. In this study, three SDS011 sensors were evaluated by co-locating them at an official, air quality monitoring station equipped with reference-equivalent instrumentation in Oslo, Norway. The sens… Show more

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Cited by 158 publications
(132 citation statements)
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“…Fortunately, the majority of these studies also report the slope and intercept of the regression line between LCS data and reference measurements that describe the possible bias of LCS data. A few studies also report the RMSE [10,20,22,36,[41][42][43]51,52,58,60,62,63,85] which clearly indicates that the magnitude of the error in LCS data is also sensitive to extreme values and outliers. Only a few studies report the measurement uncertainty [10,22,25,30,48,52,59,61].…”
Section: Methods Of Evaluationmentioning
confidence: 95%
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“…Fortunately, the majority of these studies also report the slope and intercept of the regression line between LCS data and reference measurements that describe the possible bias of LCS data. A few studies also report the RMSE [10,20,22,36,[41][42][43]51,52,58,60,62,63,85] which clearly indicates that the magnitude of the error in LCS data is also sensitive to extreme values and outliers. Only a few studies report the measurement uncertainty [10,22,25,30,48,52,59,61].…”
Section: Methods Of Evaluationmentioning
confidence: 95%
“…The majority of the reviewed works reported R 2 value as a main metric when comparing LCS with reference measurements. Table 2 clearly shows that only a few records were found for the measurements reporting mean absolute error (MAE), bias, and RMSE [42,49,[52][53][54]56]. However, we would like to stress that other statistical parameters, such as the mean normalized bias (MNB), mean normalized error (MNE), and the root mean square error (RMSE), are also very important in evaluating the relationship between LCS and reference instruments.…”
Section: Methods Of Evaluationmentioning
confidence: 99%
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“…In both of these locations, R 2 above 0.85 was observed for the correlations between the PM 2.5 averages informed by the SDS011 and standard optical instruments. Results reported by field tests conducted in environments with higher RH due to the influence of oceanic climates, such as Wrocław, Poland, (Badura et al 2018) and Oslo, Norway (Liu et al, 2019) suggest that SDS011 can reach modest to robust correlations in high-humidity ambient as well (R 2 0.55-0.86; Table 3).…”
Section: Accuracy Of Rh Sensor Measurements Compared To Reference Valuesmentioning
confidence: 97%
“…Another important element in the development of air pollution sensors is the performance (accuracy) offered by the sensors used. Accuracy means the consistency of measured pollution levels with their real values [36][37][38].…”
Section: Air Pollution Sensorsmentioning
confidence: 99%