Articles | Volume 7, issue 4
Atmos. Meas. Tech., 7, 1121–1131, 2014
https://doi.org/10.5194/amt-7-1121-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 7, 1121–1131, 2014
https://doi.org/10.5194/amt-7-1121-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 30 Apr 2014
Research article | 30 Apr 2014
Field calibrations of a low-cost aerosol sensor at a regulatory monitoring site in California
D. M. Holstius et al.
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Brigitte Rooney, Ran Zhao, Yuan Wang, Kelvin H. Bates, Ajay Pillarisetti, Sumit Sharma, Seema Kundu, Tami C. Bond, Nicholas L. Lam, Bora Ozaltun, Li Xu, Varun Goel, Lauren T. Fleming, Robert Weltman, Simone Meinardi, Donald R. Blake, Sergey A. Nizkorodov, Rufus D. Edwards, Ankit Yadav, Narendra K. Arora, Kirk R. Smith, and John H. Seinfeld
Atmos. Chem. Phys., 19, 7719–7742, https://doi.org/10.5194/acp-19-7719-2019, https://doi.org/10.5194/acp-19-7719-2019, 2019
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Approximately 3 billion people worldwide cook with solid fuels, such as wood, charcoal, and agricultural residues, that are often combusted in inefficient cookstoves. Here, we simulate the distribution of the two major health-damaging outdoor pollution species (PM2.5 and O3) using state-of-the-science emissions databases and atmospheric chemical transport models to estimate the impact of household combustion on ambient air quality in India.
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Subject: Aerosols | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017
Effects of the prewhitening method, the time granularity, and the time segmentation on the Mann–Kendall trend detection and the associated Sen's slope
Best practices for precipitation sample storage for offline studies of ice nucleation in marine and coastal environments
Interferences with aerosol acidity quantification due to gas-phase ammonia uptake onto acidic sulfate filter samples
Multi-year ACSM measurements at the central European research station Melpitz (Germany) – Part 1: Instrument robustness, quality assurance, and impact of upper size cutoff diameter
The new instrument using a TC–BC (total carbon–black carbon) method for the online measurement of carbonaceous aerosols
Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites
Aerosol retrievals from the EKO MS-711 spectral direct irradiance measurements and corrections of the circumsolar radiation
Characterization of anthropogenic organic aerosols by TOF-ACSM with the new capture vaporizer
Evaluation and calibration of a low-cost particle sensor in ambient conditions using machine-learning methods
Intercomparison between the aerosol optical properties retrieved by different inversion methods from SKYNET sky radiometer observations over Qionghai and Yucheng in China
A comparison of lognormal and gamma size distributions for characterizing the stratospheric aerosol phase function from optical particle counter measurements
Comparison of aircraft measurements during GoAmazon2014/5 and ACRIDICON-CHUVA
Field comparison of dry deposition samplers for collection of atmospheric mineral dust: results from single-particle characterization
On-flight intercomparison of three miniature aerosol absorption sensors using unmanned aerial systems (UASs)
A low-cost monitor for measurement of fine particulate matter and aerosol optical depth – Part 2: Citizen-science pilot campaign in northern Colorado
Methodology for high-quality mobile measurement with focus on black carbon and particle mass concentrations
Laboratory and field evaluation of the Aerosol Dynamics Inc. concentrator (ADIc) for aerosol mass spectrometry
Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy
Strategies of method selection for fine-scale PM2.5 mapping in an intra-urban area using crowdsourced monitoring
Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: systematic intercomparison of calibration methods for US measurement network samples
Aerosol light absorption from optical measurements of PTFE membrane filter samples: sensitivity analysis of optical depth measures
The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog
Field and laboratory evaluation of a high time resolution x-ray fluorescence instrument for determining the elemental composition of ambient aerosols
Exploring the applicability and limitations of selected optical scattering instruments for PM mass measurement
Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea
Comparison of three aerosol chemical characterization techniques utilizing PTR-ToF-MS: a study on freshly formed and aged biogenic SOA
Estimating chemical composition of atmospheric deposition fluxes from mineral insoluble particles deposition collected in the western Mediterranean region
Elemental composition of ambient aerosols measured with high temporal resolution using an online XRF spectrometer
How to reliably detect molecular clusters and nucleation mode particles with Neutral cluster and Air Ion Spectrometer (NAIS)
Intercomparison of 15 aerodynamic particle size spectrometers (APS 3321): uncertainties in particle sizing and number size distribution
Evaluation of the Sequential Spot Sampler (S3) for time-resolved measurement of PM2.5 sulfate and nitrate through lab and field measurements
Aerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks
Comparison of advanced offline and in situ techniques of organic aerosol composition measurement during the CalNex campaign
Can AERONET data be used to accurately model the monochromatic beam and circumsolar irradiances under cloud-free conditions in desert environment?
ACTRIS ACSM intercomparison – Part 1: Reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with co-located instruments
Measurement of carbonaceous aerosol with different sampling configurations and frequencies
ACTRIS ACSM intercomparison – Part 2: Intercomparison of ME-2 organic source apportionment results from 15 individual, co-located aerosol mass spectrometers
SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications
Development of an automated high-temperature valveless injection system for online gas chromatography
Verification and application of the extended spectral deconvolution algorithm (SDA+) methodology to estimate aerosol fine and coarse mode extinction coefficients in the marine boundary layer
Comparison between CARIBIC Aerosol Samples Analysed by Accelerator-Based Methods and Optical Particle Counter Measurements
A newly identified calculation discrepancy of the Sunset semi-continuous carbon analyzer
Intercomparison of an Aerosol Chemical Speciation Monitor (ACSM) with ambient fine aerosol measurements in downtown Atlanta, Georgia
A concept of an automated function control for ambient aerosol measurements using mobility particle size spectrometers
Combining airborne gas and aerosol measurements with HYSPLIT: a visualization tool for simultaneous evaluation of air mass history and back trajectory consistency
Intercomparison of a Cavity Attenuated Phase Shift-based extinction monitor (CAPS PMex) with an integrating nephelometer and a filter-based absorption monitor
The effect of hygroscopicity on eddy covariance estimates of sea-spray aerosol fluxes: a comparison of high-rate and bulk correction methods
Atmospheric effect on the ground-based measurements of broadband surface albedo
An empirical model of optical and radiative characteristics of the tropospheric aerosol over West Siberia in summer
Ondřej Tichý, Miroslav Hýža, Nikolaos Evangeliou, and Václav Šmídl
Atmos. Meas. Tech., 14, 803–818, https://doi.org/10.5194/amt-14-803-2021, https://doi.org/10.5194/amt-14-803-2021, 2021
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We present an investigation of the usability of newly developed real-time concentration monitoring systems, which are based on the gamma-ray counting of aerosol filters. These high-resolution data were used for inverse modeling of the 106Ru release in 2017. Our inverse modeling results agree with previously published estimates and provide better temporal resolution of the estimates.
Martine Collaud Coen, Elisabeth Andrews, Alessandro Bigi, Giovanni Martucci, Gonzague Romanens, Frédéric P. A. Vogt, and Laurent Vuilleumier
Atmos. Meas. Tech., 13, 6945–6964, https://doi.org/10.5194/amt-13-6945-2020, https://doi.org/10.5194/amt-13-6945-2020, 2020
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The Mann–Kendall trend test requires prewhitening in the presence of serially correlated data. The effects of five prewhitening methods and time granularity, autocorrelation, temporal segmentation and length of the time series on the statistical significance and the slope are studies for seven atmospheric datasets. Finally, a new algorithm using three prewhitening methods is proposed in order to optimize the power of the test, the amount of erroneous false positive trends and the slope estimate.
Charlotte M. Beall, Dolan Lucero, Thomas C. Hill, Paul J. DeMott, M. Dale Stokes, and Kimberly A. Prather
Atmos. Meas. Tech., 13, 6473–6486, https://doi.org/10.5194/amt-13-6473-2020, https://doi.org/10.5194/amt-13-6473-2020, 2020
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Ice-nucleating particles (INPs) can influence multiple climate-relevant cloud properties. Previous studies report INP observations from precipitation samples that were stored prior to analysis, yet storage protocols vary widely, and little is known about how storage impacts INPs. This study finds that storing samples at −20 °C best preserves INP concentrations and that significant losses of small INPs occur across all storage protocols.
Benjamin A. Nault, Pedro Campuzano-Jost, Douglas A. Day, Hongyu Guo, Duseong S. Jo, Anne V. Handschy, Demetrios Pagonis, Jason C. Schroder, Melinda K. Schueneman, Michael J. Cubison, Jack E. Dibb, Alma Hodzic, Weiwei Hu, Brett B. Palm, and Jose L. Jimenez
Atmos. Meas. Tech., 13, 6193–6213, https://doi.org/10.5194/amt-13-6193-2020, https://doi.org/10.5194/amt-13-6193-2020, 2020
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Collecting particulate matter, or aerosols, onto filters to be analyzed offline is a widely used method to investigate the mass concentration and chemical composition of the aerosol, especially the inorganic portion. Here, we show that acidic aerosol (sulfuric acid) collected onto filters and then exposed to high ammonia mixing ratios (from human emissions) will lead to biases in the ammonium collected onto filters, and the uptake of ammonia is rapid (< 10 s), which impacts the filter data.
Laurent Poulain, Gerald Spindler, Achim Grüner, Thomas Tuch, Bastian Stieger, Dominik van Pinxteren, Jean-Eudes Petit, Olivier Favez, Hartmut Herrmann, and Alfred Wiedensohler
Atmos. Meas. Tech., 13, 4973–4994, https://doi.org/10.5194/amt-13-4973-2020, https://doi.org/10.5194/amt-13-4973-2020, 2020
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The stability and the comparability between ACSM and collocated filter sampling and MPSS measurements was investigated in order to examine the instruments robustness for year-long measurements. Specific attention was paid to the influence of the upper size cutoff diameter to better understand how it might affect the data validation. Recommendations are provided for better on-site quality assurance and quality control of the ACSM, which would be useful for either long-term or intensive campaigns.
Martin Rigler, Luka Drinovec, Gašper Lavrič, Athanasia Vlachou, André S. H. Prévôt, Jean Luc Jaffrezo, Iasonas Stavroulas, Jean Sciare, Judita Burger, Irena Kranjc, Janja Turšič, Anthony D. A. Hansen, and Griša Močnik
Atmos. Meas. Tech., 13, 4333–4351, https://doi.org/10.5194/amt-13-4333-2020, https://doi.org/10.5194/amt-13-4333-2020, 2020
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Carbonaceous aerosols are a large fraction of fine particulate matter. They are extremely diverse, and they directly impact air quality, visibility, cloud formation and public health. In this paper we present a new instrument and new method to measure carbon content in particulate matter in real time and at a high time resolution. The new method was validated in a 1-month winter field campaign in Ljubljana, Slovenia.
Rosaria E. Pileci, Robin L. Modini, Michele Bertò, Jinfeng Yuan, Joel C. Corbin, Angela Marinoni, Bas J. Henzing, Marcel M. Moerman, Jean P. Putaud, Gerald Spindler, Birgit Wehner, Thomas Müller, Thomas Tuch, Arianna Trentini, Marco Zanatta, Urs Baltensperger, and Martin Gysel-Beer
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-192, https://doi.org/10.5194/amt-2020-192, 2020
Revised manuscript accepted for AMT
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Black carbon, which is an important constituent of atmospheric aerosols, remains difficult to quantify due to various limitations of available methods. This study provides an extensive comparison of co-located field measurements applying two methods based on different principles. It was shown that both methods indeed quantify the same aerosol property – BC mass concentration. The level of agreement that can be expected was quantified and some reasons for discrepancy were identified.
Rosa Delia García-Cabrera, Emilio Cuevas-Agulló, África Barreto, Victoria Eugenia Cachorro, Mario Pó, Ramón Ramos, and Kees Hoogendijk
Atmos. Meas. Tech., 13, 2601–2621, https://doi.org/10.5194/amt-13-2601-2020, https://doi.org/10.5194/amt-13-2601-2020, 2020
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Spectral direct UV–visible normal solar irradiance, measured with an EKO MS-711 grating spectroradiometer at the Izaña Atmospheric Observatory (Spain), has been used to determine aerosol optical depth (AOD) at several wavelengths, and has been compared to synchronous AOD measurements from a reference AERONET (Aerosol RObotic NETwork) Cimel sun photometer.
Yan Zheng, Xi Cheng, Keren Liao, Yaowei Li, Yong Jie Li, Ru-Jin Huang, Weiwei Hu, Ying Liu, Tong Zhu, Shiyi Chen, Limin Zeng, Douglas R. Worsnop, and Qi Chen
Atmos. Meas. Tech., 13, 2457–2472, https://doi.org/10.5194/amt-13-2457-2020, https://doi.org/10.5194/amt-13-2457-2020, 2020
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This paper provides important information to help researchers to understand the mass quantification and source apportionment by Aerodyne aerosol mass spectrometers.
Minxing Si, Ying Xiong, Shan Du, and Ke Du
Atmos. Meas. Tech., 13, 1693–1707, https://doi.org/10.5194/amt-13-1693-2020, https://doi.org/10.5194/amt-13-1693-2020, 2020
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The study evaluated the performance of a low-cost PM sensor in ambient conditions and calibrated its readings using simple linear regression (SLR), multiple linear regression (MLR), and two more powerful machine-learning algorithms with random search techniques for the best model architectures. The two machine-learning algorithms are XGBoost and a feedforward neural network (NN).
Zhe Jiang, Minzheng Duan, Huizheng Che, Wenxing Zhang, Teruyuki Nakajima, Makiko Hashimoto, Bin Chen, and Akihiro Yamazaki
Atmos. Meas. Tech., 13, 1195–1212, https://doi.org/10.5194/amt-13-1195-2020, https://doi.org/10.5194/amt-13-1195-2020, 2020
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This study analyzed the aerosol optical properties derived by SKYRAD.pack versions 5.0 and 4.2 using the radiometer measurements over Qionghai and Yucheng in China, which are two new sites of SKYNET. The seasonal variability of the aerosol properties over the two sites were investigated based on SKYRAD.pack V5.0. The validation results provide valuable references for continued improvement of the retrieval algorithms of SKYNET and other aerosol observational networks.
Ernest Nyaku, Robert Loughman, Pawan K. Bhartia, Terry Deshler, Zhong Chen, and Peter R. Colarco
Atmos. Meas. Tech., 13, 1071–1087, https://doi.org/10.5194/amt-13-1071-2020, https://doi.org/10.5194/amt-13-1071-2020, 2020
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This paper shows the importance of the nature of the aerosol phase function used in the retrieval of the stratospheric aerosol extinction from limb scattering measurements. The aerosol phase function is derived from the parameters using either a unimodal lognormal or gamma aerosol size distribution. These two distributions were fitted to the same aerosol concentration measurements at two altitudes, and depending on the nature of the measurements, each distribution shows its strengths.
Fan Mei, Jian Wang, Jennifer M. Comstock, Ralf Weigel, Martina Krämer, Christoph Mahnke, John E. Shilling, Johannes Schneider, Christiane Schulz, Charles N. Long, Manfred Wendisch, Luiz A. T. Machado, Beat Schmid, Trismono Krisna, Mikhail Pekour, John Hubbe, Andreas Giez, Bernadett Weinzierl, Martin Zoeger, Mira L. Pöhlker, Hans Schlager, Micael A. Cecchini, Meinrat O. Andreae, Scot T. Martin, Suzane S. de Sá, Jiwen Fan, Jason Tomlinson, Stephen Springston, Ulrich Pöschl, Paulo Artaxo, Christopher Pöhlker, Thomas Klimach, Andreas Minikin, Armin Afchine, and Stephan Borrmann
Atmos. Meas. Tech., 13, 661–684, https://doi.org/10.5194/amt-13-661-2020, https://doi.org/10.5194/amt-13-661-2020, 2020
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In 2014, the US DOE G1 aircraft and the German HALO aircraft overflew the Amazon basin to study how aerosols influence cloud cycles under a clean condition and around a tropical megacity. This paper describes how to meaningfully compare similar measurements from two research aircraft and identify the potential measurement issue. We also discuss the uncertainty range for each measurement for further usage in model evaluation and satellite data validation.
Andebo Waza, Kilian Schneiders, Jan May, Sergio Rodríguez, Bernd Epple, and Konrad Kandler
Atmos. Meas. Tech., 12, 6647–6665, https://doi.org/10.5194/amt-12-6647-2019, https://doi.org/10.5194/amt-12-6647-2019, 2019
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Deposition or other passive measurement techniques are used to sample mineral dust from the atmosphere. However, there exist a multitude of different collection instruments with different, usually not well-characterized sampling efficiencies, so the resulting data might be considerably biased with respect to their size representatively. In the paper, we report on collection properties of different deposition and other passive samplers based on single-particle measurements.
Michael Pikridas, Spiros Bezantakos, Griša Močnik, Christos Keleshis, Fred Brechtel, Iasonas Stavroulas, Gregoris Demetriades, Panayiota Antoniou, Panagiotis Vouterakos, Marios Argyrides, Eleni Liakakou, Luka Drinovec, Eleni Marinou, Vassilis Amiridis, Mihalis Vrekoussis, Nikolaos Mihalopoulos, and Jean Sciare
Atmos. Meas. Tech., 12, 6425–6447, https://doi.org/10.5194/amt-12-6425-2019, https://doi.org/10.5194/amt-12-6425-2019, 2019
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This work evaluates the performance of three sensors that monitor black carbon (soot). These sensors exhibit similar behavior to their rack-mounted counterparts and are therefore promising for more extended use. A reconstruction of the black carbon mass vertical distribution above Athens, Greece, is shown using drones, similar to those acquired by remote-sensing techniques. The potential of combining miniature sensors with drones for at least the lower part of the atmosphere is exhibited.
Bonne Ford, Jeffrey R. Pierce, Eric Wendt, Marilee Long, Shantanu Jathar, John Mehaffy, Jessica Tryner, Casey Quinn, Lizette van Zyl, Christian L'Orange, Daniel Miller-Lionberg, and John Volckens
Atmos. Meas. Tech., 12, 6385–6399, https://doi.org/10.5194/amt-12-6385-2019, https://doi.org/10.5194/amt-12-6385-2019, 2019
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This study demonstrates the use of a low-cost sensor in a citizen-science network, Citizen-Enabled Aerosol Measurements for Satellites (CEAMS), to measure air quality in participants’ backyards. The pilot network was conducted in the fall and winter of 2017 in northern Colorado. Measurements of aerosols taken by the citizens are also compared to standard air quality instruments.
Honey Dawn C. Alas, Kay Weinhold, Francesca Costabile, Antonio Di Ianni, Thomas Müller, Sascha Pfeifer, Luca Di Liberto, Jay R. Turner, and Alfred Wiedensohler
Atmos. Meas. Tech., 12, 4697–4712, https://doi.org/10.5194/amt-12-4697-2019, https://doi.org/10.5194/amt-12-4697-2019, 2019
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Traffic-related air pollutants are highly variable in space. To determine their spatial distribution in relation to human exposure, portable black carbon and PM2.5 mass concentration sensors aboard mobile platforms can be used. High-spatial-resolution data can help improve exposure estimates. The quality of these data becomes increasingly important. This study provides a detailed methodology on how to achieve highly quality assured data from the abovementioned mobile measurements.
Sanna Saarikoski, Leah R. Williams, Steven R. Spielman, Gregory S. Lewis, Arantzazu Eiguren-Fernandez, Minna Aurela, Susanne V. Hering, Kimmo Teinilä, Philip Croteau, John T. Jayne, Thorsten Hohaus, Douglas R. Worsnop, and Hilkka Timonen
Atmos. Meas. Tech., 12, 3907–3920, https://doi.org/10.5194/amt-12-3907-2019, https://doi.org/10.5194/amt-12-3907-2019, 2019
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An air-to-air ultrafine particle concentrator (Aerosol Dynamics Inc. concentrator; ADIc) has been tailored for the low (~ 0.08 L min−1) inlet flow of aerosol mass spectrometers, and it provides a factor of 8–21 enrichment in the concentration of particles. The ADIc was evaluated in laboratory and field measurements. The results showed that the concentration factor depends primarily on the ratio between the sample flow and the output flow and is independent of particle size above about 10 nm.
Nicholas W. Davies, Cathryn Fox, Kate Szpek, Michael I. Cotterell, Jonathan W. Taylor, James D. Allan, Paul I. Williams, Jamie Trembath, Jim M. Haywood, and Justin M. Langridge
Atmos. Meas. Tech., 12, 3417–3434, https://doi.org/10.5194/amt-12-3417-2019, https://doi.org/10.5194/amt-12-3417-2019, 2019
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This research project assesses biases in traditional, filter-based, aerosol absorption measurements by comparison to state-of-the-art, non-filter-based, or in situ, measurements. We assess biases in traditional absorption measurements for three main aerosol types, including dust and fresh and aged biomass burning aerosols. The main results of this study are that the traditional and state-of-the-art absorption measurements are well correlated and that biases in the former are up to 45 %.
Shan Xu, Bin Zou, Yan Lin, Xiuge Zhao, Shenxin Li, and Chenxia Hu
Atmos. Meas. Tech., 12, 2933–2948, https://doi.org/10.5194/amt-12-2933-2019, https://doi.org/10.5194/amt-12-2933-2019, 2019
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This study presents strategies of method selection for 100 m scale PM2.5 mapping using a crowdsourced sampling campaign. Interestingly, PM2.5 concentrations in micro-environments varied significantly in intra-urban areas. These local PM2.5 variations can be effectively revealed by crowdsourcing sampling rather than national air quality monitoring sites. The selection of models for fine-scale PM2.5 mapping should be adjusted with the changing sampling and pollution circumstances.
Matteo Reggente, Ann M. Dillner, and Satoshi Takahama
Atmos. Meas. Tech., 12, 2287–2312, https://doi.org/10.5194/amt-12-2287-2019, https://doi.org/10.5194/amt-12-2287-2019, 2019
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We compare state-of-the-art models for predicting functional group composition in atmospheric particulate matter across urban and rural samples collected in a US monitoring network. While trends across models are consistent, absolute abundances can be sensitive to selection of calibration standards, spectral processing procedures, and calibration algorithms. Recommendations for further method development for reducing uncertainties are outlined.
Apoorva Pandey, Nishit J. Shetty, and Rajan K. Chakrabarty
Atmos. Meas. Tech., 12, 1365–1373, https://doi.org/10.5194/amt-12-1365-2019, https://doi.org/10.5194/amt-12-1365-2019, 2019
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This study quantitatively establishes simple-to-use correction factors for accurately estimating particle-phase light absorption properties from bulk-phase attenuation measurements of Teflon filter samples. Using contact-free optical instrumentation with a two-stream radiative transfer model, we developed a wavelength-independent empirical correction formulation by comparing filter attenuation of aerosol-laden Teflon filter samples with in situ light absorption for a range of real-world fuels.
Rohan Jayaratne, Xiaoting Liu, Phong Thai, Matthew Dunbabin, and Lidia Morawska
Atmos. Meas. Tech., 11, 4883–4890, https://doi.org/10.5194/amt-11-4883-2018, https://doi.org/10.5194/amt-11-4883-2018, 2018
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It is important to correctly interpret the readings reported by low cost airborne particle sensors at high humidity. We demonstrate that deliquescent growth of particles and the formation of fog droplets in the atmosphere can lead to significant increases in particle number and mass concentrations reported by such sensors, unless they are fitted with dryers at the inlet. This is important as air quality standards for particles are specifically limited to solid particles.
Anja H. Tremper, Anna Font, Max Priestman, Samera H. Hamad, Tsai-Chia Chung, Ari Pribadi, Richard J. C. Brown, Sharon L. Goddard, Nathalie Grassineau, Krag Petterson, Frank J. Kelly, and David C. Green
Atmos. Meas. Tech., 11, 3541–3557, https://doi.org/10.5194/amt-11-3541-2018, https://doi.org/10.5194/amt-11-3541-2018, 2018
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Measuring the chemical composition of airborne particulates can provide valuable information on the concentration of regulated toxic metals and their sources and assist in the identification and validation of abatement techniques. Undertaking these measurements at a high time resolution enables computer modelling techniques to be more robustly linked to emission processes. This study describes a comprehensive laboratory and field evaluation of a high time resolution metal monitoring instrument.
Jie Zhang, Joseph P. Marto, and James J. Schwab
Atmos. Meas. Tech., 11, 2995–3005, https://doi.org/10.5194/amt-11-2995-2018, https://doi.org/10.5194/amt-11-2995-2018, 2018
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The performance of two kinds of optical instruments for aerosol mass measurements was explained by a Mie scattering theory. At the same time, the response of optical instruments for ambient aerosol with different size, chemical composition, and refractive index were also studied. These would help evaluate the applicability and limitations of these optical scattering instruments.
Jungbin Mok, Nickolay A. Krotkov, Omar Torres, Hiren Jethva, Zhanqing Li, Jhoon Kim, Ja-Ho Koo, Sujung Go, Hitoshi Irie, Gordon Labow, Thomas F. Eck, Brent N. Holben, Jay Herman, Robert P. Loughman, Elena Spinei, Seoung Soo Lee, Pradeep Khatri, and Monica Campanelli
Atmos. Meas. Tech., 11, 2295–2311, https://doi.org/10.5194/amt-11-2295-2018, https://doi.org/10.5194/amt-11-2295-2018, 2018
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Measuring aerosol absorption from the shortest ultraviolet (UV) to the near-infrared (NIR) wavelengths is important for studies of climate, tropospheric photochemistry, human health, and agricultural productivity. We estimate the accuracy and demonstrate consistency of aerosol absorption retrievals from different instruments, after accounting for spectrally varying surface albedo and gaseous absorption.
Georgios I. Gkatzelis, Ralf Tillmann, Thorsten Hohaus, Markus Müller, Philipp Eichler, Kang-Ming Xu, Patrick Schlag, Sebastian H. Schmitt, Robert Wegener, Martin Kaminski, Rupert Holzinger, Armin Wisthaler, and Astrid Kiendler-Scharr
Atmos. Meas. Tech., 11, 1481–1500, https://doi.org/10.5194/amt-11-1481-2018, https://doi.org/10.5194/amt-11-1481-2018, 2018
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This manuscript presents an intercomparison of state-of-the-art online and in situ particle sampling techniques connected to proton transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS). Collection and vaporization of aerosol combined with soft ionization mass spectrometry offers the advantage of detailed chemical characterization of SOA species. The benefits of these techniques are highlighted through their consistency in providing the chemical composition of biogenic SOA.
Yinghe Fu, Karine Desboeufs, Julie Vincent, Elisabeth Bon Nguyen, Benoit Laurent, Remi Losno, and François Dulac
Atmos. Meas. Tech., 10, 4389–4401, https://doi.org/10.5194/amt-10-4389-2017, https://doi.org/10.5194/amt-10-4389-2017, 2017
Markus Furger, María Cruz Minguillón, Varun Yadav, Jay G. Slowik, Christoph Hüglin, Roman Fröhlich, Krag Petterson, Urs Baltensperger, and André S. H. Prévôt
Atmos. Meas. Tech., 10, 2061–2076, https://doi.org/10.5194/amt-10-2061-2017, https://doi.org/10.5194/amt-10-2061-2017, 2017
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An Xact 625 Ambient Metals Monitor was tested during a 3-week summer field campaign at a rural, traffic-influenced site in Switzerland. The objective was to characterize the operation of the instrument, evaluate the data quality by intercomparison with other independent measurements, and test its applicability for aerosol source quantification. The results demonstrate significant advantages compared to traditional elemental analysis methods, with some desirable improvements.
Hanna E. Manninen, Sander Mirme, Aadu Mirme, Tuukka Petäjä, and Markku Kulmala
Atmos. Meas. Tech., 9, 3577–3605, https://doi.org/10.5194/amt-9-3577-2016, https://doi.org/10.5194/amt-9-3577-2016, 2016
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This paper reports a standard operation procedure (SOP) for a Neutral cluster and Air Ion Spectrometer (NAIS) to detect small clusters and nucleation mode particles. The NAIS measures number size distributions of charged and neutral aerosol particles. The SOP is needed to provide comparable results measured by NAIS users around the world. The work is based on discussions between the NAIS users (lead by University of Helsinki, Finland) and the NAIS manufacturer (Airel Ltd., Estonia).
Sascha Pfeifer, Thomas Müller, Kay Weinhold, Nadezda Zikova, Sebastiao Martins dos Santos, Angela Marinoni, Oliver F. Bischof, Carsten Kykal, Ludwig Ries, Frank Meinhardt, Pasi Aalto, Nikolaos Mihalopoulos, and Alfred Wiedensohler
Atmos. Meas. Tech., 9, 1545–1551, https://doi.org/10.5194/amt-9-1545-2016, https://doi.org/10.5194/amt-9-1545-2016, 2016
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15 aerodynamic particle size spectrometers (APS model 3321, TSI Inc., St. Paul, MN, USA) were compared with a focus on flow rates accuracy, particle sizing, and unit-to-unit variability of the particle number size distribution.
Flow rate deviations were relatively small, while the sizing accuracy was found to be within 10 % compared to polystyrene latex reference particles. The unit-to-unit variability in terms of the particle number size distribution during this study was between 10 % and 60 %.
A. Hecobian, A. Evanoski-Cole, A. Eiguren-Fernandez, A. P. Sullivan, G. S. Lewis, S. V. Hering, and J. L. Collett Jr.
Atmos. Meas. Tech., 9, 525–533, https://doi.org/10.5194/amt-9-525-2016, https://doi.org/10.5194/amt-9-525-2016, 2016
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A newly developed instrument, the Sequential Spot Sampler (S3) was evaluated in the laboratory and field for the hourly measurement of ambient PM2.5 nitrate and sulfate concentrations. The results from the comparison of two S3s and the S3s with other well-established methods show that this instrument is suitable for deployment; provides high-resolution aerosol nitrate and sulfate concentrations while requiring minimal operator involvement and low power input; and has a small footprint.
R. D. García, O. E. García, E. Cuevas, V. E. Cachorro, A. Barreto, C. Guirado-Fuentes, N. Kouremeti, J. J. Bustos, P. M. Romero-Campos, and A. M. de Frutos
Atmos. Meas. Tech., 9, 53–62, https://doi.org/10.5194/amt-9-53-2016, https://doi.org/10.5194/amt-9-53-2016, 2016
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This paper presents the reconstruction of a 73-year time series of the aerosol optical depth (AOD) at 500 nm at the subtropical high-mountain Izaña Atmospheric Observatory (IZO) located in Tenerife (Canary Islands, Spain). For this purpose, we have combined AOD estimates from artificial neural networks (ANNs) from 1941 to 2001 and AOD measurements directly obtained with a precision filter radiometer (PFR) between 2003 and 2013.
J. Timkovsky, A. W. H. Chan, T. Dorst, A. H. Goldstein, B. Oyama, and R. Holzinger
Atmos. Meas. Tech., 8, 5177–5187, https://doi.org/10.5194/amt-8-5177-2015, https://doi.org/10.5194/amt-8-5177-2015, 2015
Y. Eissa, P. Blanc, L. Wald, and H. Ghedira
Atmos. Meas. Tech., 8, 5099–5112, https://doi.org/10.5194/amt-8-5099-2015, https://doi.org/10.5194/amt-8-5099-2015, 2015
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This study investigates whether the spectral aerosol optical properties of the AERONET stations are sufficient for an accurate modelling of the monochromatic beam and circumsolar irradiances under cloud-free conditions in a desert environment. By comparing the modelled irradiances against reference ground measurements, the monochromatic beam and circumsolar irradiances may very well be modelled using a set of inputs extracted from the AERONET data.
V. Crenn, J. Sciare, P. L. Croteau, S. Verlhac, R. Fröhlich, C. A. Belis, W. Aas, M. Äijälä, A. Alastuey, B. Artiñano, D. Baisnée, N. Bonnaire, M. Bressi, M. Canagaratna, F. Canonaco, C. Carbone, F. Cavalli, E. Coz, M. J. Cubison, J. K. Esser-Gietl, D. C. Green, V. Gros, L. Heikkinen, H. Herrmann, C. Lunder, M. C. Minguillón, G. Močnik, C. D. O'Dowd, J. Ovadnevaite, J.-E. Petit, E. Petralia, L. Poulain, M. Priestman, V. Riffault, A. Ripoll, R. Sarda-Estève, J. G. Slowik, A. Setyan, A. Wiedensohler, U. Baltensperger, A. S. H. Prévôt, J. T. Jayne, and O. Favez
Atmos. Meas. Tech., 8, 5063–5087, https://doi.org/10.5194/amt-8-5063-2015, https://doi.org/10.5194/amt-8-5063-2015, 2015
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A large intercomparison study of 13 Q-ACSM was conducted for a 3-week period in the region of Paris to evaluate the performance of this instrument and to monitor the major NR-PM1 chemical components. Reproducibility expanded uncertainties of Q-ACSM concentration measurements were found to be 9, 15, 19, 28, and 36% for NR-PM1, NO3, OM, SO4, and NH4, respectively. Some recommendations regarding best calibration practices, standardized data processing and data treatment are also provided.
Y. Cheng and K.-B. He
Atmos. Meas. Tech., 8, 2639–2648, https://doi.org/10.5194/amt-8-2639-2015, https://doi.org/10.5194/amt-8-2639-2015, 2015
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We measure carbonaceous aerosol in Beijing with different sampling configurations and frequencies. It is commonly believed that increasing sampling duration can reduce the influence of the positive sampling artifact and meanwhile does not affect the EC measurement. However, here we demonstrate that this is not necessarily the case. Particularly, we find that the negative sampling artifact of a bare quartz filter could be remarkably enhanced due to the uptake of water vapor by the filter medium.
R. Fröhlich, V. Crenn, A. Setyan, C. A. Belis, F. Canonaco, O. Favez, V. Riffault, J. G. Slowik, W. Aas, M. Aijälä, A. Alastuey, B. Artiñano, N. Bonnaire, C. Bozzetti, M. Bressi, C. Carbone, E. Coz, P. L. Croteau, M. J. Cubison, J. K. Esser-Gietl, D. C. Green, V. Gros, L. Heikkinen, H. Herrmann, J. T. Jayne, C. R. Lunder, M. C. Minguillón, G. Močnik, C. D. O'Dowd, J. Ovadnevaite, E. Petralia, L. Poulain, M. Priestman, A. Ripoll, R. Sarda-Estève, A. Wiedensohler, U. Baltensperger, J. Sciare, and A. S. H. Prévôt
Atmos. Meas. Tech., 8, 2555–2576, https://doi.org/10.5194/amt-8-2555-2015, https://doi.org/10.5194/amt-8-2555-2015, 2015
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Source apportionment (SA) of organic aerosol mass spectrometric data measured with the Aerodyne ACSM using PMF/ME2 is a frequently used technique in the AMS/ACSM community. ME2 uncertainties due to instrument-to-instrument variations are elucidated by performing SA on ambient data from 14 individual, co-located ACSMs, recorded during the first ACTRIS ACSM intercomparison study at SIRTA near Paris (France). The mean uncertainty was 17.2%. Recommendations for future studies using ME2 are provided.
G. Snider, C. L. Weagle, R. V. Martin, A. van Donkelaar, K. Conrad, D. Cunningham, C. Gordon, M. Zwicker, C. Akoshile, P. Artaxo, N. X. Anh, J. Brook, J. Dong, R. M. Garland, R. Greenwald, D. Griffith, K. He, B. N. Holben, R. Kahn, I. Koren, N. Lagrosas, P. Lestari, Z. Ma, J. Vanderlei Martins, E. J. Quel, Y. Rudich, A. Salam, S. N. Tripathi, C. Yu, Q. Zhang, Y. Zhang, M. Brauer, A. Cohen, M. D. Gibson, and Y. Liu
Atmos. Meas. Tech., 8, 505–521, https://doi.org/10.5194/amt-8-505-2015, https://doi.org/10.5194/amt-8-505-2015, 2015
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We have initiated a global network of ground-level monitoring stations to measure concentrations of fine aerosols in urban environments. Our findings include major ions species, total mass, and total scatter at three wavelengths. Results will be used to further evaluate and enhance satellite remote sensing estimates.
N. M. Kreisberg, D. R. Worton, Y. Zhao, G. Isaacman, A. H. Goldstein, and S. V. Hering
Atmos. Meas. Tech., 7, 4431–4444, https://doi.org/10.5194/amt-7-4431-2014, https://doi.org/10.5194/amt-7-4431-2014, 2014
K. C. Kaku, J. S. Reid, N. T. O'Neill, P. K. Quinn, D. J. Coffman, and T. F. Eck
Atmos. Meas. Tech., 7, 3399–3412, https://doi.org/10.5194/amt-7-3399-2014, https://doi.org/10.5194/amt-7-3399-2014, 2014
B. G. Martinsson, J. Friberg, S. M. Andersson, A. Weigelt, M. Hermann, D. Assmann, J. Voigtländer, C. A. M. Brenninkmeijer, P. J. F. van Velthoven, and A. Zahn
Atmos. Meas. Tech., 7, 2581–2596, https://doi.org/10.5194/amt-7-2581-2014, https://doi.org/10.5194/amt-7-2581-2014, 2014
G. J. Zheng, Y. Cheng, K. B. He, F. K. Duan, and Y. L. Ma
Atmos. Meas. Tech., 7, 1969–1977, https://doi.org/10.5194/amt-7-1969-2014, https://doi.org/10.5194/amt-7-1969-2014, 2014
S. H. Budisulistiorini, M. R. Canagaratna, P. L. Croteau, K. Baumann, E. S. Edgerton, M. S. Kollman, N. L. Ng, V. Verma, S. L. Shaw, E. M. Knipping, D. R. Worsnop, J. T. Jayne, R.J. Weber, and J. D. Surratt
Atmos. Meas. Tech., 7, 1929–1941, https://doi.org/10.5194/amt-7-1929-2014, https://doi.org/10.5194/amt-7-1929-2014, 2014
A. Schladitz, M. Merkel, S. Bastian, W. Birmili, K. Weinhold, G. Löschau, and A. Wiedensohler
Atmos. Meas. Tech., 7, 1065–1073, https://doi.org/10.5194/amt-7-1065-2014, https://doi.org/10.5194/amt-7-1065-2014, 2014
S. Freitag, A. D. Clarke, S. G. Howell, V. N. Kapustin, T. Campos, V. L. Brekhovskikh, and J. Zhou
Atmos. Meas. Tech., 7, 107–128, https://doi.org/10.5194/amt-7-107-2014, https://doi.org/10.5194/amt-7-107-2014, 2014
A. Petzold, T. Onasch, P. Kebabian, and A. Freedman
Atmos. Meas. Tech., 6, 1141–1151, https://doi.org/10.5194/amt-6-1141-2013, https://doi.org/10.5194/amt-6-1141-2013, 2013
D. A. J. Sproson, I. M. Brooks, and S. J. Norris
Atmos. Meas. Tech., 6, 323–335, https://doi.org/10.5194/amt-6-323-2013, https://doi.org/10.5194/amt-6-323-2013, 2013
T. Manninen, A. Riihelä, and G. de Leeuw
Atmos. Meas. Tech., 5, 2675–2688, https://doi.org/10.5194/amt-5-2675-2012, https://doi.org/10.5194/amt-5-2675-2012, 2012
M. V. Panchenko, T. B. Zhuravleva, S. A. Terpugova, V. V. Polkin, and V. S. Kozlov
Atmos. Meas. Tech., 5, 1513–1527, https://doi.org/10.5194/amt-5-1513-2012, https://doi.org/10.5194/amt-5-1513-2012, 2012
Cited articles
Aoki, P. M., Honicky, R. J., Mainwaring, A., Myers, C., Paulos, E., Subramanian, S., and Woodruff, A.: A Vehicle for Research: Using Street Sweepers to Explore the Landscape of Environmental Community Action, CHI 2009, Boston, Massachusetts, USA, 2009.
Bay Area Air Quality Management District – BAAQMD: The Community Air Risk Evaluation (CARE) program, available at: http://www.baaqmd.gov/Divisions/Planning-and-Research/CARE-Program.aspx, last access: 26 April 2014.
Balzano, L.: Addressing fault and calibration in wireless sensor networks, University of California, Los Angeles, 2007.
Brauer, M., Amann, M., Burnett, R. T., Cohen, A., Dentener, F., Ezzati, M., Henderson, S. B., Krzyzanowski, M., Martin, R. V., Van Dingenen, R., van Donkelaar, A., and Thurston, G. D.: Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution, Environ. Sci. Technol., 46, 652–660, https://doi.org/10.1021/es2025752, 2011.
Brugge, D., Rivera-Carrasco, E., Zotter, J., and Leung, A.: Community-based participatory research in Boston's neighborhoods: a review of asthma case examples, Arch. Environ. Occup. H., 65, 38–44, https://doi.org/10.1080/19338240903390214, 2010.
Budde, M., Busse, M., and Beigl, M.: Investigating the use of commodity dust sensors for the embedded measurement of particulate matter, Ninth International Conference on Networked Sensing Systems (INSS), Antwerp, Belgium, 2012.
Burkart, J., Steiner, G., Reischl, G., Moshammer, H., Neuberger, M., and Hitzenberger, R.: Characterizing the performance of two optical particle counters (Grimm OPC1.108 and OPC1.109) under urban aerosol conditions, J. Aerosol Sci., 41, 953–962, https://doi.org/10.1016/j.jaerosci.2010.07.007, 2010.
Chow, J. C., Engelbrecht, J. P., Watson, J. G., Wilson, W. E., Frank, N. H., and Zhu, T.: Designing monitoring networks to represent outdoor human exposure, Chemosphere, 49, 961–978, 2002.
Chowdhury, Z., Edwards, R. D., Johnson, M., Naumoff Shields, K., Allen, T., Canuz, E., and Smith, K. R.: An inexpensive light-scattering particle monitor: field validation, J. Environ. Monitor., 9, 1099–1106, https://doi.org/10.1039/b709329m, 2007.
CITI-SENSE: Development of sensor-based Citizens' Observatory Community for improving quality of life in cities, 7th EC RTD Framework Program, contract No. 308524, aqvailable at: http://www.citi-sense.eu/, last access: 26 April 2014.
Demuth, D., Nuest, D., Bröring, A., and Pebesma, E.: The AirQuality SenseBox, EGU General Assembly Conference Abstracts, Vol. 15, p. 5146, 2013.
DiSalvo, C., Louw, M., Holstius, D., Nourbakhsh, I., and Akin, A.: Toward a public rhetoric through participatory design: critical engagements and creative expression in the Neighborhood Networks Project, Des. Issues, 28, 48–61, https://doi.org/10.1162/DESI_a_00161, 2012.
Dutta, P., Aoki, P. M., Kumar, N., Mainwaring, A., Myers, C., Willett, W., and Woodruff, A.: Common Sense: Participatory urban sensing using a network of handheld air quality monitors, ACM Conference on Embedded Networked Sensor Systems, Berkeley, CA, 2009.
Edwards, R. D., Smith, K. R., Kirby, B., Allen, T., Litton, C. D., and Hering, S.: An inexpensive dual-chamber particle monitor: laboratory characterization, J. Air Waste Manage., 56, 789–799, 2006.
European Union: Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe, Brussels, Belgium, 1–44, 2008.
Fujita, E. M. and Campbell, D.: West Oakland Monitoring Study, Desert Research Institute, Reno, NV, 1–115, 2010.
Fujita, E. M., Campbell, D. E., Patrick Arnott, W., Lau, V., and Martien, P. T.: Spatial variations of particulate matter and air toxics in communities adjacent to the Port of Oakland, J. Air Waste Manage., 63, 1399–1411, https://doi.org/10.1080/10962247.2013.824393, 2013.
Gonzalez, P., Minkler, M., Garcia, A., Gordon, M., Garzón, C., Palaniappan, M., Prakash, S., and Beveridge, B.: Community-based participatory research and policy advocacy to reduce diesel exposure in West Oakland, California, Am. J. Public Health, 101, S166–S175, https://doi.org/10.2105/AJPH.2010.196204, 2011.
Harrison, J. L.: Parsing "participation" in action research: navigating the challenges of lay involvement in technically complex participatory science projects, Soc. Natur. Resour., 24, 702–716, https://doi.org/10.1080/08941920903403115, 2011.
Hasenfratz, D., Saukh, O., and Thiele, L.: On-the-fly calibration of low-cost gas sensors, Conference on Wireless Sensor Networks (EWSN), Springer, Berlin, Heidelberg, 228–244, 2012.
Hedges, S.: Planning and implementing a real-time air pollution monitoring and outreach program for your community, US EPA National Risk Management Research Laboratory, Cincinnati, OH, 2002.
Honicky, R., Brewer, E., Paulos, E., and White, R.: N-smarts: networked suite of mobile atmospheric real-time sensors, ACM SIGCOMM workshop on Networked systems for developing regions, 2008.
Jerrett, M., Arain, A., Kanaroglou, P., Beckerman, B., Potoglou, D., Sahsuvaroglu, T., Morrison, J., and Giovis, C.: A review and evaluation of intraurban air pollution exposure models, J. Expo. Anal. Env. Epid., 15, 185–204, 2005.
Jiang, Y., Li, K., Tian, L., Piedrahita, R., Yun, X., Mansata, O., Lv, Q., Dick, R. P., Hannigan, M., and Shang, L.: MAQS: A Personalized Mobile Sensing System for Indoor Air Quality Monitoring. Proceedings of the 13th International Conference on Ubiquitous Computing, Beijing, 271–280, 2011.
John, W.: Size distribution characteristics of aerosols, in: Aerosol Measurement: Principles, Techniques, and Applications, 3rd Edn., edited by: Kulkarni, P., Baron, P. A., and Willeke, K., John Wiley and Sons, New York, 41–54, 2011.
Kinney, P. L., Aggarwal, M., Northridge, M. E., Janssen, N. A., and Shepard, P. M.: Airborne concentrations of PM2.5 and diesel exhaust particles on Harlem sidewalks: a community-based pilot study, Environ. Health Persp., 108, 213–218, 2000.
Lighty, J. S., Veranth, J. M., and Sarofim, A. F.: Combustion aerosols: factors governing their size and composition and implications to human health, J. Air Waste Manage., 50, 1522–1565, 2000.
Litton, C. D., Smith, K. R., Edwards, R., and Allen, T.: Combined optical and ionization measurement techniques for inexpensive characterization of micrometer and submicrometer aerosols, Aerosol Sci. Tech., 38, 1054–1062, https://doi.org/10.1080/027868290883333, 2004.
Loh, P., Sugerman-Brozan, J., Wiggins, S., Noiles, D., and Archibald, C.: From asthma to AirBeat: community-driven monitoring of fine particles and black carbon in Roxbury, Massachusetts, Environ. Health Persp., 110, 297–301, 2002.
McCracken, J. P., Schwartz, J., Bruce, N., Mittleman, M., Ryan, L. M., and Smith, K. R.: Combining individual- and group-level exposure information: child carbon monoxide in the Guatemala woodstove randomized control trial, Epidemiology, 20, 127–136, https://doi.org/10.1097/EDE.0b013e31818ef327, 2009.
Mead, M. I., Popoola, O. A. M., Stewart, G. B., Landshoff, P., Calleja, M., Hayes, M., Baldovi, J. J., McLeod, M. W., Hodgson, T. F., Dicks, J., Lewis, A., Cohen, J., Baron, R., Saffell, J. R., and Jones, R. L.: The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks, Atmos. Environ., 70, 186–203, https://doi.org/10.1016/j.atmosenv.2012.11.060, 2013.
Molenar, J. V.: Theoretical analysis of PM2.5 mass measurements by nephelometry, IMPROVE Project, available at: http://vista.cira.colostate.edu/improve/publications/graylit/014_AerosolByNeph/AerosolbyNeph.pdf, last access: 26 April 2014.
Mun, M., Reddy, S., Shilton, K., Yau, N., Burke, J., Estrin, D., Hansen, M., Howard, E., West, R., and Boda, P.: PEIR, the personal environmental impact report, as a platform for participatory sensing systems research, Proceedings of the 7th international conference on mobile systems, applications, and services, 22–25 June 2009, Kraków, Poland, 55–68, 2009.
Nafis, C.: Automatically measuring and graphing air quality with an inexpensive device, available at: http://www.howmuchsnow.com/ arduino/airquality/, last access: 1 October 2012.
National Research Council: Exposure Science in the 21st Century: a Vision and a Strategy, The National Academies Press, Washington, D.C., 2012.
Nikzad, N., Verma, N., Ziftci, C., Bales, E., Quick, N., Zappi, P., Patrick, K., Dasgupta, S., Krueger, I., Rosing, T. Š., and Griswold, W. G.: CitiSense: Improving Geospatial Environmental Assessment of Air Quality Using a Wireless Personal Exposure Monitoring System, Proceedings of the International Conference on Wireless Health, San Diego, CA, 2012.
Northcross, A. L., Edwards, R. J., Johnson, M. A., Wang, Z.-M., Zhu, K., Allen, T., and Smith, K. R.: A low-cost particle counter as a realtime fine-particle mass monitor, Environ. Sci. Process. Impact., 15, 433–439, https://doi.org/10.1039/c2em30568b, 2013.
Olivares, G., Longley, I., and Coulson, G.: Development of a Low-Cost Device for Observing Indoor Particle Levels Associated with Source Activities in the Home, International Society of Exposure Science (ISES), Seattle, WA, 2012.
Ottinger, G.: Epistemic fencelines: air monitoring instruments and expert-resident boundaries, Spontaneous Generations, 3, 55–67, https://doi.org/10.4245/sponge.v3i1.6115, 2009
Pastor Jr., M., Morello-Frosch, R., and Sadd, J. L.: Air Pollution and Environmental Justice: Integrating Indicators of Cumulative Impact and Socio-Economic Vulnerability into Regulatory Decision-Making, Report No. 04-308, California Air Resources Board, Sacramento, CA, 2010.
Paulos, E., Honicky, R. J., and Goodman, E.: Sensing Atmosphere, ACM Conference on Embedded Networked Sensor Systems (SenSys), 6–9 November 2007, Sydney, Australia, 2007.
Pingkuan, D.: Diesel Particulate Matter Health Risk Assessment for the West Oakland Community, California Air Resources Board, Sacramento, CA, 2008.
Reid, S. B.: Documentation of emission estimation techniques for sources of diesel particulate matter (DPM) associated with truck-based businesses and construction projects in West Oakland, California, Contract No. 2006-144, STI-907006-3174-TM, Sonoma Technology, Petaluma, CA, 2007.
Shinyei Corp.: Specification Sheet of Particle Sensor Model PPD42NS, available at: http://www.sca-shinyei.com/pdf/PPD42NS.pdf (last access: 17 January 2014), 2010.
Smith, K. R.: Development of the UCB-L Particle Monitor for Future California Applications in Environmental Justice, University of California, Berkeley, 2011.
Smith, P. A. and Clark, M.: Microsampling Air Pollution, The New York Times, p. D4, New York, available at: http://well.blogs.nytimes.com/2013/06/03/microsampling-air-pollution/, last access: 26 April 2014.
Snyder, E. G., Watkins, T. H., Solomon, P. A., Thoma, E. D., Williams, R. W., Hagler, G. S. W., Shelow, D., Hindin, D. A., Kilaru, V. J., and Preuss, P. W.: The changing paradigm of air pollution monitoring, Environ. Sci. Technol., 47, 11369–11377, 2013.
Teige, V. E., Havel, E., Patt, C., Heber, E., and Cohen, R. C.: Berkeley Atmospheric CO2 Network (BEACON): Bringing Measurements of CO2 Emissions to a School Near You, Abstract #ED53C-0814, Fall Meeting, American Geophysical Union, San Francisco, CA, 2011.
US EPA: National Ambient Air Quality Standards for Particulate Matter: Final Rule, Federal Register, Vol. 78, Part II: 40 CFR Parts 50, 51, 52 et al., Washington, D.C., 2012.
US EPA: Next Generation Air Monitoring Workshop Series, Air Sensors 2013: Data Quality & Applications, Research Triangle Park, NC, 2013.
Watson, J. G.: Visibility: science and regulation, J. Air Waste Manage., 52, 628–713, 2002.
Watson, J. G., Chow, J. C., Moosmüller, H., Green, M., Frank, N., and Pitchford, M.: Guidance for using continuous monitors in PM2.5 monitoring networks, Report no. EPA-454/R-98-012, US EPA Office of Air Quality Planning and Standards, Research Triangle Park, NC, 1998.
Whitby, K. T.: The physical characteristics of sulfur aerosols, Atmos. Environ., 12, 135–159, 1978.
Willett, W., Aoki, P. M., Kumar, N., and Subramanian, S.: Common Sense Community: scaffolding mobile sensing and analysis for novice users, in: Pervasive Computing, Springer, Berlin, Heidelberg, 301–318, 2010.
Wilson, J. G., Kingham, S., Pearce, J., and Sturman, A. P.: A review of intraurban variations in particulate air pollution: implications for epidemiological research, Atmos. Environ., 39, 6444–6462, https://doi.org/10.1016/j.atmosenv.2005.07.030, 2005.
Wilson, W. E. and Suh, H. H.: Fine particles and coarse particles: concentration relationships relevant to epidemiologic studies, J. Air Waste Manage., 47, 1238–1249, 1997.
Wilson, W. E., Chow, J. C., Claiborn, C., Fusheng, W., Engelbrecht, J., and Watson, J. G.: Monitoring of particulate matter outdoors, Chemosphere, 49, 1009–1043, 2002.
World Health Organization: WHO Air Quality Guidelines Global Update 2005: Report on a Working Group Meeting, 18–20 October 2005, Bonn, Germany, 2005.
Xiang, Y., Bai, L. S., Piedrahita, R., and Arbor, A.: Collaborative Calibration and Sensor Placement for Mobile Sensor Networks, The 11th ACM/IEEE Conference on Information Processing in Sensor Networks, 16–19 April 2012, Beijing, 2012.
Zappi, P., Bales, E., Park, J. H., Griswold, W., and Rosing, T. Š.: The CitiSense Air Quality Monitoring Mobile Sensor Node, IPSN Workshop on Mobile Sensing, Bejing, China, 2012.
