SS5i single inlet
AirPhoton Aeroexplorer singlet Inlet sampling station
The Aeroexplorer sampling station is a versatile instrument for collecting particulate matter on filters for later analysis. Particulates can be collected in two sizes, typically PM2.5 and PM10 on up to 8 filters on a user programmable scheduled. The instrument has data ports which can be used to communicate with external instruments such as a weather station to enable collection by wind direction or coordination with our nephelometers. The instruments permits an autonomous particle sampling. Pump turns on/off and sampling advances to next filter slot, automatically, as function of minutes, hours or days. All is directed by operator-initiated programs, input with intuitive button controls or script command uploads.
Inlet box specifications
- Box dimensions: 12.5″ x 15″ x 9″ / 32cm × 38cm × 23cm
- Weight: 6 kg
- Installed height: 40″ / 102cm but varies per configuration
- Control box option: SS5e, SS5e7-1
- Holds FC10, 8-slot filter cartridge
- Flow rate: 1.5-7 lpm, set to control particle size
- Inlet size cut-off options: PM10, PM4, P2.5, or PM1
Control box specifications
- Box dimensions: 12.5″ x 18″ x 9″ / 32cm × 46cm × 23cm
- Weight: 5.3 kg
- Compatible options: SS5i, SS5i-PMx
- Max flow rate: around 7 lpm standard
- Power inputs: 110/220 VAC 50/60Hz
- Auxiliary power input: nominal 12VDC
- Solar power compatible
- User sets sampling protocols with intuitive button commands
- Controls on/off pump and advance to next filter slot as function of minutes, hours or days
- Data stored on removable memory cards with automatic backups
The Aeroexplorer single inlet model can provide autonomous particle sampling. The pump turns on/off and sampling advances to next filter slot, automatically, as function of minutes, hours or days. All is directed by operator-initiated programs, input with intuitive button controls or script command uploads.
- Aeroexplorer Single Inlet system flyer – Aerexplorer Single Inlet system data sheet.pdf
Snider, Graydon;Weagle, Crystal L.;Murdymootoo, Kalaivani K.;Ring, Amanda;Ritchie, Yvonne;Stone, Emily;Walsh, Ainsley;Akoshile, Clement;Anh, Nguyen Xuan;Balasubramanian, Rajasekhar;Brook, Jeff;Qonitan, Fatimah D.;Dong, Jinlu;Griffith, Derek;He, Kebin;Holben, Brent N.;Kahn, Ralph;Lagrosas, Nofel;Lestari, Puji;Ma, Zongwei;Misra, Amit;Norford, Leslie K.;Quel, Eduardo J.;Salam, Abdus;Schichtel, Bret;Segev, Lior;Tripathi, Sachchida;Wang, Chien;Yu, Chao;Zhang, Qiang;Zhang, Yuxuan;Brauer, Michael;Cohen, Aaron;Gibson, Mark D.;Liu, Yang;Martins, J. Vanderlei;Rudich, Yinon;Martin, Randall V.; emerging results from SPARTAN. 2016. Atmospheric Chemistry and Physics, 16(15), 9629-9653. https://doi.org/10.5194/acp-16-9629-2016
McNeill, J., Snider, G., Weagle, C.L. et al. Large global variations in measured airborne metal concentrations driven by anthropogenic sources. Sci Rep 10, 21817 (2020). https://doi.org/10.1038/s41598-020-78789-y
Bluvshtein, Nir. The Weizmann Institute of Science (Israel) ProQuest Dissertations & Theses, 2017. 28465231. https://doi.org/10.34933/wis.000157
Shuaibo Wang, Wentao Xu, Sijie Chen, Chengkang Xu, Weize Li, Chonghui Cheng, Jiesong Deng, and Dong Liu, “Synergistic monitoring of PM2.5 and CO2 based on active and passive remote sensing fusion during the 2022 Beijing Winter Olympics,” Appl. Opt. 63, 1231-1240 (2024)
https://opg.optica.org/ao/abstract.cfm?URI=ao-63-5-1231
Asfaw, A., Isaxon, C., Malmqvist, E., Hasheminassab, S., Diner, D.J. (2024). Air Quality Monitoring Assists Meeting the Sustainable Development Goals in Ethiopia. In: Fomba, K.W., Tchanche Fankam, B., Mellouki, A., Westervelt, D.M., Giordano, M.R. (eds) Advances in Air Quality Research in Africa. ICAQ-Africa 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-53525-3_20
Hasheminassab, Sina ; Diner, David J. ; Asfaw, Araya ; Blair, Jeffrey ; Dillner, Ann M. ; Isaxon, Christina ; Liu, Yang search by orcid ; L’Orange, Christian ; Mamo, Tesfaye ; Martin, Randall ; Oxford, Christopher Ray ; Sarnat, Jeremy ; Walsh, Brenna. In-Situ Air Quality Monitoring in Ethiopia for the Multi-Angle Imager for Aerosols (MAIA) Investigation: Spatial and Temporal Trends in Levels and Composition of Ambient PM2.5. AGU Fall Meeting 2022, held in Chicago, IL, 12-16 December 2022, id. A42O-1908. https://ui.adsabs.harvard.edu/abs/2022AGUFM.A42O1908H/abstract
Zhu, H., Martin, R., van Donkelaar, A., Hammer, M., Li, C., Meng, J., Oxford, C., Liu, X., Li, Y., Zhang, D., Singh, I., and Lyapustin, A.: Global Spatial Variation in the PM2.5 to AOD Relationship Strongly Influenced by Aerosol Composition, EGUsphere. 2024, https://doi.org/10.5194/egusphere-2024-950
Snider, G., Weagle, C. L., Martin, R. V., van Donkelaar, A., Conrad, K., Cunningham, D., Gordon, C., Zwicker, M., Akoshile, C., Artaxo, P., Anh, N. X., Brook, J., Dong, J., Garland, R. M., Greenwald, R., Griffith, D., He, K., Holben, B. N., Kahn, R., Koren, I., Lagrosas, N., Lestari, P., Ma, Z., Vanderlei Martins, J., Quel, E. J., Rudich, Y., Salam, A., Tripathi, S. N., Yu, C., Zhang, Q., Zhang, Y., Brauer, M., Cohen, A., Gibson, M. D., and Liu, Y.: SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications, Atmos. Meas. Tech., 8, 505–521, https://doi.org/10.5194/amt-8-505-2015
Crystal L. Weagle, Graydon Snider, Chi Li, Aaron van Donkelaar, Sajeev Philip, Paul Bissonnette, Jaqueline Burke, John Jackson, Robyn Latimer, Emily Stone, Ihab Abboud, Clement Akoshile, Nguyen Xuan Anh, Jeffrey Robert Brook, Aaron Cohen, Jinlu Dong, Mark D. Gibson, Derek Griffith, Kebin B. He, Brent N. Holben, Ralph Kahn, Christoph A. Keller, Jong Sung Kim, Nofel Lagrosas, Puji Lestari, Yeo Lik Khian, Yang Liu, Eloise A. Marais, J. Vanderlei Martins, Amit Misra, Ulfi Muliane, Rizki Pratiwi, Eduardo J. Quel, Abdus Salam, Lior Segev, Sachchida N. Tripathi, Chien Wang, Qiang Zhang, Michael Brauer, Yinon Rudich, and Randall V. Martin. Global Sources of Fine Particulate Matter: Interpretation of PM2.5 Chemical Composition Observed by SPARTAN using a Global Chemical Transport Model. Environmental Science & Technology 2018 52 (20), 11670-11681. https://doi.org/10.1021/acs.est.8b01658
Cheng, J., Su, J., Cui, T., Li, X., Dong, X., Sun, F., Yang, Y., Tong, D., Zheng, Y., Li, Y., Li, J., Zhang, Q., and He, K.: Dominant role of emission reduction in PM2.5 air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis, Atmos. Chem. Phys., 19, 6125–6146, 2019. https://doi.org/10.5194/acp-19-6125-2019
Sajeev Philip, Randall V Martin, Graydon Snider, Crystal L Weagle, Aaron van Donkelaar, Michael Brauer, Daven K Henze, Zbigniew Klimont, Chandra Venkataraman, Sarath K Guttikunda, Qiang Zhang. Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models. Environ. Res. Lett. 12 044018. 2017. https://doi.org/10.1088/1748-9326/aa65a4
Weagle, Crystal. “Interpretation of Ground-Based Measurements from the Surface Particulate Matter Network to Understand the Global Distribution of Fine Particulate Matter.” 2020. Dalhousie University, https://dalspace.library.dal.ca//handle/10222/79617
MacInnis, J., Chaubey, J. P., Weagle, C., Atkinson, D., & Chang, R. Y.-W. (2021). Measurement report: The chemical composition of and temporal variability in aerosol particles at Tuktoyaktuk, Canada, during the Year of Polar Prediction Second Special Observing Period. Atmospheric Chemistry and Physics, 21, 14199-14220. https://doi.org/10.5194/acp-21-14199-2021
Bluvshtein, N., Lin, P., Flores, J. M., Segev, L., Mazar, Y., Tas, E., Snider, G., Weagle, C., Brown, S. S., Laskin, A., & Rudich, Y. (2016). The magnitude and sources of uncertainty in North American climate projections: A comprehensive analysis. Journal of Geophysical Research: Atmospheres, 121(19), 11481-11503. https://doi.org/10.1002/2016JD026230
Jacob A. McNeill. Chemical Analysis of Fine Particulate Matter Measured Worldwide through Global Air Sampling Network. Dalhousie University. 2021. https://dalspace.library.dal.ca/handle/10222/80442
Heald, C. L., Ridley, D. A., Kroll, J. H., Sayer, A. M., Colarco, P. R., Massie, S., … & Salam, A. (2016). Variation in global chemical composition of PM2.5: emerging results from SPARTAN. Atmospheric Chemistry and Physics Discussions, 16(13), 8351-8386. https://doi.org/10.5194/acp-16-8351-2016
