Articles | Volume 18, issue 18
Atmos. Chem. Phys., 18, 13773–13785, 2018
https://doi.org/10.5194/acp-18-13773-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 18, 13773–13785, 2018
https://doi.org/10.5194/acp-18-13773-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 28 Sep 2018
Research article | 28 Sep 2018
Observing local CO2 sources using low-cost, near-surface urban monitors
Alexis A. Shusterman et al.
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Cited
10 citations as recorded by crossref.
- Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
- Mobile-platform measurement of air pollutant concentrations in California: performance assessment, statistical methods for evaluating spatial variations, and spatial representativeness P. Solomon et al. 10.5194/amt-13-3277-2020
- Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. 10.1016/j.atmosres.2020.105346
- Observed Impacts of COVID‐19 on Urban CO 2 Emissions A. Turner et al. 10.1029/2020GL090037
- Development of a low-cost air sensor package and indoor air quality monitoring in a California middle school: Detection of a distant wildfire A. Kaduwela et al. 10.1080/10962247.2019.1629362
- Near-surface atmospheric concentrations of greenhouse gases (CO2 and CH4) in Florence urban area: Inferring emitting sources through carbon isotopic analysis S. Venturi et al. 10.1016/j.uclim.2021.100968
- Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions F. Mao et al. 10.3389/feart.2019.00221
- Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al. 10.1007/s13143-020-00213-2
- The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
- Propuesta híbrida para la captación y medición de CO2 edáfico empleando cámaras de incubación estáticas y secuestramiento de gases K. Ostaiza Demera et al. 10.22209/rt.ve2020n2a05
10 citations as recorded by crossref.
- Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
- Mobile-platform measurement of air pollutant concentrations in California: performance assessment, statistical methods for evaluating spatial variations, and spatial representativeness P. Solomon et al. 10.5194/amt-13-3277-2020
- Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. 10.1016/j.atmosres.2020.105346
- Observed Impacts of COVID‐19 on Urban CO 2 Emissions A. Turner et al. 10.1029/2020GL090037
- Development of a low-cost air sensor package and indoor air quality monitoring in a California middle school: Detection of a distant wildfire A. Kaduwela et al. 10.1080/10962247.2019.1629362
- Near-surface atmospheric concentrations of greenhouse gases (CO2 and CH4) in Florence urban area: Inferring emitting sources through carbon isotopic analysis S. Venturi et al. 10.1016/j.uclim.2021.100968
- Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions F. Mao et al. 10.3389/feart.2019.00221
- Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al. 10.1007/s13143-020-00213-2
- The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
- Propuesta híbrida para la captación y medición de CO2 edáfico empleando cámaras de incubación estáticas y secuestramiento de gases K. Ostaiza Demera et al. 10.22209/rt.ve2020n2a05
Latest update: 18 Jan 2022
Short summary
We describe the diversity and heterogeneity of urban CO2 levels observed using the BErkeley Atmospheric CO2 Observation Network, a distributed instrument of > 50 CO2 sensors stationed every ~ 2 km across the San Francisco Bay Area. We demonstrate that relatively simple mathematical techniques, applied to these observations, can be used to detect the small changes in highway CO2 emissions expected to result from upcoming fuel economy regulations, affirming the policy relevance of low-cost sensors.
We describe the diversity and heterogeneity of urban CO2 levels observed using the BErkeley...
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