Preprints
https://doi.org/10.5194/amtd-8-7511-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amtd-8-7511-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
22 Jul 2015
22 Jul 2015
Review status: this preprint was under review for the journal AMT. A revision for further review has not been submitted.
The Outdoor Dust Information Node (ODIN) – development and performance assessment of a low cost ambient dust sensor
- National Institute of Water and Atmospheric Research (NIWA), 41 Market Place, Auckland Central 1010, Auckland, New Zealand
- National Institute of Water and Atmospheric Research (NIWA), 41 Market Place, Auckland Central 1010, Auckland, New Zealand
Correspondence: G. Olivares (gustavo.olivares@niwa.co.nz)
Hide author detailsAbstract. The large gradients in air quality expected in urban areas present a significant challenge to standard measurement technologies. Small, low-cost devices have been developing rapidly in recent years and have the potential to improve the spatial coverage of traditional air quality measurements. Here we present the first version of the Outdoor Dust Information Node (ODIN) as well as the results of the first real-world measurements. The lab tests indicate that the Sharp dust sensor used in the ODIN presents a stable baseline response only slightly affected by ambient temperature. The field tests indicate that ODIN data can be used to estimate hourly and daily PM2.5 concentrations after appropriate temperature and baseline corrections are applied. The ODIN seems suitable for campaign deployments complementing more traditional measurements.
How to cite. Olivares, G. and Edwards, S.: The Outdoor Dust Information Node (ODIN) – development and performance assessment of a low cost ambient dust sensor, Atmos. Meas. Tech. Discuss., 8, 7511–7533, https://doi.org/10.5194/amtd-8-7511-2015, 2015.
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G. Olivares and S. Edwards
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC C3158: 'Comment for Outdoor Dust Information Node paper, Olivares and Edwards, 2015', Anonymous Referee #1, 28 Sep 2015
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RC C3162: 'Comment for Outdoor Dust Information Node (ODIN) paper, Olivares and Edwards, 2015.', Anonymous Referee #1, 28 Sep 2015
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RC C3188: 'Reviewer Comment of amt-2015-175', Anonymous Referee #2, 02 Oct 2015
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC C3158: 'Comment for Outdoor Dust Information Node paper, Olivares and Edwards, 2015', Anonymous Referee #1, 28 Sep 2015
-
RC C3162: 'Comment for Outdoor Dust Information Node (ODIN) paper, Olivares and Edwards, 2015.', Anonymous Referee #1, 28 Sep 2015
-
RC C3188: 'Reviewer Comment of amt-2015-175', Anonymous Referee #2, 02 Oct 2015
G. Olivares and S. Edwards
G. Olivares and S. Edwards
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Cited
11 citations as recorded by crossref.
- End-user perspective of low-cost sensors for outdoor air pollution monitoring A. Rai et al. 10.1016/j.scitotenv.2017.06.266
- Review of the Performance of Low-Cost Sensors for Air Quality Monitoring F. Karagulian et al. 10.3390/atmos10090506
- Validating and Comparing Highly Resolved Commercial “Off the Shelf” PM Monitoring Sensors with Satellite Based Hybrid Models, for Improved Environmental Exposure Assessment D. Lesser et al. 10.3390/s21010063
- Development of a new personal air filter test system using a low-cost particulate matter (PM) sensor D. Hapidin et al. 10.1080/02786826.2019.1678734
- Environmental Particulate Matter (PM) Exposure Assessment of Construction Activities Using Low-Cost PM Sensor and Latin Hypercubic Technique M. Khan et al. 10.3390/su13147797
- Low Cost Sensor With IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring S. Ali et al. 10.1109/TIM.2020.3034109
- Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone? L. Morawska et al. 10.1016/j.envint.2018.04.018
- Calibration of a low-cost PM2.5 monitor using a random forest model Y. Wang et al. 10.1016/j.envint.2019.105161
- A review of research on particulate matter pollution in the construction industry D. Cheriyan & J. Choi 10.1016/j.jclepro.2020.120077
- Estimation of particulate matter exposure to construction workers using low-cost dust sensors D. Cheriyan & J. Choi 10.1016/j.scs.2020.102197
- Performance of low-cost monitors to assess household air pollution A. Curto et al. 10.1016/j.envres.2018.01.024
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Short summary
Here we present the first version of the Outdoor Dust Information Node (ODIN) as well as the results of the first real-world measurements. This low-cost instrument is able to capture some of the variability observed in PM2.5 and it can be used to complement traditional measurements. However, there are still questions regarding the response of these low-cost sensors to different aerosol mixtures and their performance in low concentration environments.
Here we present the first version of the Outdoor Dust Information Node (ODIN) as well as the...