Articles | Volume 12, issue 5
Research article 28 May 2019
Research article | 28 May 2019
Strategies of method selection for fine-scale PM2.5 mapping in an intra-urban area using crowdsourced monitoring
Shan Xu et al.
No articles found.
Ning Liu, Bin Zou, Huihui Feng, Wei Wang, Yuqi Tang, and Yu Liang
Atmos. Chem. Phys., 19, 8243–8268,Short summary
The systematic validation and comparison of MAIAC, DT, and DB AOD products across China from 2000 to 2017 is presented. In this process, the overall accuracy, land type dependence, view geometry dependence, spatiotemporal retrieval accuracy, spatial variation pattern, and spatiotemporal completeness of the three products are analyzed in detail. In general, MAIAC achieves higher accuracy than DT and DB, but DT and DB may perform better than MAIAC under some specific land cover types or seasons.
S. Li, B. Zou, J. You, X. Fang, X. Zhao, and X. Yao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W5, 39–45,
Related subject area
Subject: Aerosols | Technique: In Situ Measurement | Topic: Validation and IntercomparisonsEffects of the prewhitening method, the time granularity, and the time segmentation on the Mann–Kendall trend detection and the associated Sen's slopeBest practices for precipitation sample storage for offline studies of ice nucleation in marine and coastal environmentsInterferences with aerosol acidity quantification due to gas-phase ammonia uptake onto acidic sulfate filter samplesMulti-year ACSM measurements at the central European research station Melpitz (Germany) – Part 1: Instrument robustness, quality assurance, and impact of upper size cutoff diameterReal-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017The new instrument using a TC–BC (total carbon–black carbon) method for the online measurement of carbonaceous aerosolsComparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sitesAerosol retrievals from the EKO MS-711 spectral direct irradiance measurements and corrections of the circumsolar radiationCharacterization of anthropogenic organic aerosols by TOF-ACSM with the new capture vaporizerEvaluation and calibration of a low-cost particle sensor in ambient conditions using machine-learning methodsIntercomparison between the aerosol optical properties retrieved by different inversion methods from SKYNET sky radiometer observations over Qionghai and Yucheng in ChinaA comparison of lognormal and gamma size distributions for characterizing the stratospheric aerosol phase function from optical particle counter measurementsComparison of aircraft measurements during GoAmazon2014/5 and ACRIDICON-CHUVAField comparison of dry deposition samplers for collection of atmospheric mineral dust: results from single-particle characterizationOn-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 ColoradoMethodology for high-quality mobile measurement with focus on black carbon and particle mass concentrationsLaboratory and field evaluation of the Aerosol Dynamics Inc. concentrator (ADIc) for aerosol mass spectrometryEvaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopyAnalysis of functional groups in atmospheric aerosols by infrared spectroscopy: systematic intercomparison of calibration methods for US measurement network samplesAerosol light absorption from optical measurements of PTFE membrane filter samples: sensitivity analysis of optical depth measuresThe influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fogField and laboratory evaluation of a high time resolution x-ray fluorescence instrument for determining the elemental composition of ambient aerosolsExploring the applicability and limitations of selected optical scattering instruments for PM mass measurementComparisons of spectral aerosol single scattering albedo in Seoul, South KoreaComparison of three aerosol chemical characterization techniques utilizing PTR-ToF-MS: a study on freshly formed and aged biogenic SOAEstimating chemical composition of atmospheric deposition fluxes from mineral insoluble particles deposition collected in the western Mediterranean regionElemental composition of ambient aerosols measured with high temporal resolution using an online XRF spectrometerHow 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 distributionEvaluation of the Sequential Spot Sampler (S3) for time-resolved measurement of PM2.5 sulfate and nitrate through lab and field measurementsAerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networksComparison of advanced offline and in situ techniques of organic aerosol composition measurement during the CalNex campaignCan 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 instrumentsMeasurement of carbonaceous aerosol with different sampling configurations and frequenciesACTRIS ACSM intercomparison – Part 2: Intercomparison of ME-2 organic source apportionment results from 15 individual, co-located aerosol mass spectrometersSPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applicationsDevelopment of an automated high-temperature valveless injection system for online gas chromatographyVerification and application of the extended spectral deconvolution algorithm (SDA+) methodology to estimate aerosol fine and coarse mode extinction coefficients in the marine boundary layerComparison between CARIBIC Aerosol Samples Analysed by Accelerator-Based Methods and Optical Particle Counter MeasurementsA newly identified calculation discrepancy of the Sunset semi-continuous carbon analyzerIntercomparison of an Aerosol Chemical Speciation Monitor (ACSM) with ambient fine aerosol measurements in downtown Atlanta, GeorgiaField calibrations of a low-cost aerosol sensor at a regulatory monitoring site in CaliforniaA concept of an automated function control for ambient aerosol measurements using mobility particle size spectrometersCombining airborne gas and aerosol measurements with HYSPLIT: a visualization tool for simultaneous evaluation of air mass history and back trajectory consistencyIntercomparison of a Cavity Attenuated Phase Shift-based extinction monitor (CAPS PMex) with an integrating nephelometer and a filter-based absorption monitorThe effect of hygroscopicity on eddy covariance estimates of sea-spray aerosol fluxes: a comparison of high-rate and bulk correction methodsAtmospheric effect on the ground-based measurements of broadband surface albedoAn empirical model of optical and radiative characteristics of the tropospheric aerosol over West Siberia in summer
Martine Collaud Coen, Elisabeth Andrews, Alessandro Bigi, Giovanni Martucci, Gonzague Romanens, Frédéric P. A. Vogt, and Laurent Vuilleumier
Atmos. Meas. Tech., 13, 6945–6964,Short summary
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,Short summary
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,Short summary
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,Short summary
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.
Ondřej Tichý, Miroslav Hýža, and Václav Šmídl
Atmos. Meas. Tech. Discuss.,
Revised manuscript accepted for AMTShort summary
We present an investigation of the usability of the 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.
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,Short summary
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.,
Revised manuscript accepted for AMTShort summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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 %.
Matteo Reggente, Ann M. Dillner, and Satoshi Takahama
Atmos. Meas. Tech., 12, 2287–2312,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,
Y. Eissa, P. Blanc, L. Wald, and H. Ghedira
Atmos. Meas. Tech., 8, 5099–5112,Short summary
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,Short summary
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,Short summary
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,Short summary
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,Short summary
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,
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,
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,
G. J. Zheng, Y. Cheng, K. B. He, F. K. Duan, and Y. L. Ma
Atmos. Meas. Tech., 7, 1969–1977,
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,
D. M. Holstius, A. Pillarisetti, K. R. Smith, and E. Seto
Atmos. Meas. Tech., 7, 1121–1131,
A. Schladitz, M. Merkel, S. Bastian, W. Birmili, K. Weinhold, G. Löschau, and A. Wiedensohler
Atmos. Meas. Tech., 7, 1065–1073,
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,
A. Petzold, T. Onasch, P. Kebabian, and A. Freedman
Atmos. Meas. Tech., 6, 1141–1151,
D. A. J. Sproson, I. M. Brooks, and S. J. Norris
Atmos. Meas. Tech., 6, 323–335,
T. Manninen, A. Riihelä, and G. de Leeuw
Atmos. Meas. Tech., 5, 2675–2688,
M. V. Panchenko, T. B. Zhuravleva, S. A. Terpugova, V. V. Polkin, and V. S. Kozlov
Atmos. Meas. Tech., 5, 1513–1527,
Apte, J. S., Messier, K. P., Gani, S., Brauer, M., Kirchstetter, T. W., Lunden, M. M., Marshall, J. D., Portier, C. J., Vermeulen, R. C., and Hamburg, S. P.: High-resolution air pollution mapping with google street view cars: exploiting big data, Environ. Sci. Technol., 51, 6999–7009, https://doi.org/10.1021/acs.est.7b00891, 2017.
Badura, M., Batog, P., Drzeniecka-Osiadacz, A., and Modzel, P.: Evaluation of low-cost sensors for ambient PM2.5 monitoring, J. Sensors, 2018, 5096540, 1–16, https://doi.org/10.1155/2018/5096540, 2018.
Beverland, I. J., Cohen, G. R., Heal, M. R., Carder, M., Yap, C., Robertson, C., Hart, C. L., and Agius, R. M.: A comparison of short-term and long-term air pollution exposure associations with mortality in two cohorts in Scotland, Environ. Health Persp., 120, 1280–1285, https://doi.org/10.1289/ehp.1104509, 2012.
Choi, G., Bell, M. L., and Lee, J. T.: A study on modeling nitrogen dioxide concentrations using land-use regression and conventionally used exposure assessment methods, Environ. Res. Lett., 12, 044003, https://doi.org/10.1088/1748-9326/aa6057, 2017.
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., Feigin, V., Freedman, G., Hubbell, B., Jobling, A., Kan, H., Knibbs, L., YangLiu, Y., Martin, R., Morawska, L., Pope III, A., Shin, H., Straif, K., Shaddick, G., Thomas, M., van Dingenen, R., Donkelaar, A., Vos, T., Murray, C. J. L., and Forouzanfar, M. H.: Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the global burden of diseases study 2015, Lancet, 389, 1907–1918, https://doi.org/10.1016/S0140-6736(17)30505-6, 2017.
De Hoogh, K., Chen, J., Gulliver, J., Hoffmann, B., Hertel, O., Ketzel, M., Bauwelinck, M., van Donkelaar, A., Hvidtfeldt, U. A., Katsouyanni, K., Klompmaker, J., Martin, R. V., Samoli, E., Schwartz, P. E., Stafoggia, M., Bellander, T., Strak, M., Wolf, K., Vienneau, D., Brunekreef, B., and Hoek, G.: Spatial PM2.5, NO2, O3 and BC models for Western Europe-Evaluation of spatiotemporal stability, Environ. Int., 120, 81–92, https://doi.org/10.1016/j.envint.2018.07.036, 2018.
Di, Q., Dai, L., Wang, Y., Zanobetti, A., Choirat, C., Schwartz, J. D., and Dominici, F.: Association of short-term exposure to air pollution with mortality in older adults, Jama, 318, 2446–2456, https://doi.org/10.1001/jama.2017.17923, 2017.
El-Harbawi, M.: Air quality modelling, simulation, and computational methods: a review, Environ. Rev., 21, 149–179, https://doi.org/10.1139/er-2012-0056, 2013.
Fang, X., Zou, B., Liu, X., Sternberg, T., and Zhai, L.: Satellite-based ground PM2.5 estimation using timely structure adaptive modeling, Remote Sens. Environ., 186, 152–163, https://doi.org/10.1139/er-2012-0056, 2016.
Fox, J. and Weisberg, S.: An R companion to applied regression, 2nd edn., SAGE Publications, Inc., 2455 Teller Road, Thousand Oaks, California 91320, USA, 2011.
Gillespie, J., Beverland, I., Hamilton, S., and Padmanabhan, S.: Development, evaluation, and comparison of land use regression modeling methods to estimate residential exposure to nitrogen dioxide in a cohort study, Environ. Sci. Technol., 50, 11085–11093, https://doi.org/10.1021/acs.est.6b02089, 2016.
Godri, K. J., Harrison, R. M., Tim, E., Timothy, B., Christina, D., Mudway, I. S., and Kelly, F. J.: Increased oxidative burden associated with traffic component of ambient particulate matter at roadside and urban background schools sites in London, PLoS ONE, 6, e21961, https://doi.org/10.1371/journal.pone.0021961, 2011.
Griffiths, S. D., Chappell, P., Entwistle, J. A., Kelly, F. J., and Deary, M. E.: A study of particulate emissions during 23 major industrial fires: implications for human health, Environ. Int., 112, 310–323, https://doi.org/10.1016/j.envint.2017.12.018, 2018.
Hankey, S., Lindsey, G., and Marshall, J. D.: Population-level exposure to particulate air pollution during active travel: planning for low-exposure, health-promoting cities, Environ. Health Persp., 125, 527–534, https://doi.org/10.1289/EHP442, 2017.
Heipke, C.: Crowdsourcing geospatial data, ISPRS J. Photogramm., 65, 550–557, https://doi.org/10.1016/j.isprsjprs.2010.06.005, 2010.
Henderson, S. B., Beckerman, B., Jerrett, M., and Brauer, M.: Application of land use regression to estimate long-term concentrations of traffic-related nitrogen oxides and fine particulate matter, Environ. Sci. Technol., 41, 2422–2428, https://doi.org/10.1021/es0606780, 2007.
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, https://doi.org/10.1038/sj.jea.7500388, 2005.
Jerrett, M., Donaire-Gonzalez, D., Popoola, O., Jones, R., Cohen, R. C., Almanza, E., de Nazelle, A., Mead, I., Carrasco-Turigas, G., Cole-Hunter, T., Triguero-Mas, M., Seto, E., and Nieuwenhuijsen, M.: Validating novel air pollution sensors to improve exposure estimates for epidemiological analyses and citizen science, Environ. Res., 158, 286–294, https://doi.org/10.1016/j.envres.2017.04.023, 2017.
Johnson, K. K., Bergin, M. H., Russell, A. G., and Hagler, G. S. W.: Field test of several low-cost particulate matter sensors in high and low concentration urban environments, Aerosol Air Qual. Res., 18, 565–578, https://doi.org/10.4209/aaqr.2017.10.0418, 2018.
Kim, S. Y., Yi, S. J., Eum, Y. S., Choi, H. J., Shin, H., Ryou, H. G., and Kim, H.: Ordinary kriging approach to predicting long-term particulate matter concentrations in seven major Korean cities, Environ. Health Toxicol., 29, e2014012, https://doi.org/10.5620/eht.e2014012, 2014.
Kumar, P., Morawska, L., Martani, C., Biskos, G., Neophytou, M., Di, S. S., Bell, M., Norford, L., and Britter, R.: The rise of low-cost sensing for managing air pollution in cities, Environ. Int., 75, 199–205, https://doi.org/10.1016/j.envint.2014.11.019, 2015.
Lee, J. H., Wu, C. F., Hoek, G., De, H. K., Beelen, R., Brunekreef, B., and Chan, C. C.: Land use regression models for estimating individual NOx and NO2 exposures in a metropolis with a high density of traffic roads and population, Sci. Total Environ., 472, 1163–1171, https://doi.org/10.1016/j.scitotenv.2013.11.064, 2014.
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., and Pozzer, A.: The contribution of outdoor air pollution sources to premature mortality on a global scale, Nature, 525, 367–371, https://doi.org/10.1038/nature15371, 2015.
Li, J. and Heap, A. D.: Spatial interpolation methods applied in the environmental sciences: a review, Environ. Modell. Softw., 53, 173–189. https://doi.org/10.1016/j.envsoft.2013.12.008, 2014.
Liu, Y., Cao, G. F., Zhao, N. Z., Mulligan, K., and Ye, X. Y.: Improve ground-level PM2.5 concentration mapping using a random forests-based geostatistical approach, Environ. Pollut., 235, 272–282, https://doi.org/10.1016/j.envpol.2017.12.070, 2018.
Mercer, L. D., Szpiro, A. A., Sheppard, L., Lindström, J., Adar, S. D., Allen, R. W., Avol, E. L., Oron, A. P., Larson, T., Liu, L. J., and Kaufman, J. D.: Comparing universal kriging and land-use regression for predicting concentrations of gaseous oxides of nitrogen (NOx) for the multi-ethnic study of atherosclerosis and air pollution (MESA Air), Atmos. Environ., 45, 4412–4420, https://doi.org/10.1016/j.atmosenv.2011.05.043, 2011.
Miskell, G., Salmond, J., and Williams, D. E.: Low-cost sensors and crowd-sourced data: observations of siting impacts on a network of air-quality instruments, Sci. Total Environ., 575, 1119–1129, https://doi.org/10.1016/j.scitotenv.2016.09.177, 2017.
Pang, W., Christakos, G., and Wang, J. F.: Comparative spatiotemporal analysis of fine particulate matter pollution, Environmetrics, 21, 305–317, https://doi.org/10.1002/env.1007, 2010.
Quang, T. N., He, C., Morawska, L., Knibbs, L. D., and Falk, M.: Vertical particle concentration profiles around urban office buildings, Atmos. Chem. Phys., 12, 5017–5030, https://doi.org/10.5194/acp-12-5017-2012, 2012.
Rice, M. B., Ljungman, P. L., Wilker, E. H., Dorans, K. S., Gold, D. R., Schwartz, J., Koutrakis, P., Washko, G. R., O'Connor, G. T., and Mittleman, M. A.: Long-term exposure to traffic emissions and fine particulate matter and lung function decline in the framingham heart study, Am. J. Respir. Crit. Care. Med., 191, 656–64, https://doi.org/10.1164/rccm.201410-1875OC, 2015.
Sajani, S. Z., Marchesi, S., Trentini, A., Bacco, D., Zigola, C., Rovelli, S., Ricciardelli, I., Maccone, C., Lauriola, P., Cavallo, D. M., Poluzzi, V., Cattaneo, A., and Harrison, R.: Vertical variation of PM2.5 mass and chemical composition, particle size distribution, NO2, and BTEX at high rise building, Environ. Pollut., 235, 339–349, https://doi.org/10.1016/j.envpol.2017.12.090, 2018.
Saraswat, A., Apte, J. S., Kandlikar, M., Brauer, M., Henderson, S. B., and Marshall, J. D.: Spatiotemporal land use regression models of fine, ultrafine, and black carbon particulate matter in new Delhi, India, Environ. Sci. Technol., 47, 12903–12911, https://doi.org/10.1021/es401489h, 2013.
Schneider, P., Castell, N., Vogt, M., Dauge, F. R., Lahoz, W. A., and Bartonova, A.: Mapping urban air quality in near real-time using observations from low-cost sensors and model information, Environ. Int., 106, 234–247, https://doi.org/10.1016/j.envint.2017.05.005, 2017.
Thompson, J. E.: Crowd-sourced air quality studies: a review of the literature & portable sensors, T. Environ. Anal. Chem., 11, 23–34, https://doi.org/10.1016/j.teac.2016.06.001, 2016.
R Core Team: R: A language and environment for statistical computing, R foundation for statistical computing, Vienna, Austria, available at: http://www.R-project.org, last access: 10 November 2016.
Wang, M., Beelen, R., Eeftens, M., Meliefste, K., Hoek, G., and Brunekreef, B.: Systematic evaluation of land use regression models for NO2, Environ. Sci. Technol., 46, 4481–4489, https://doi.org/10.1021/es204183v, 2012.
Xu, S., Zou, B., Shafi, S., and Sternberg, T.: A hybrid Grey-Markov/ LUR model for PM10 concentration prediction under future urban scenarios, Atmos. Environ., 187, 401–409, https://doi.org/10.1016/j.atmosenv.2018.06.014, 2018.
Zhai, L., Li, S., Zou, B., Sang, H., Fang, X., and Xu, S.: An improved geographically weighted regression model for PM2.5 concentration estimation in large areas, Atmos. Environ., 181, 145–154, https://doi.org/10.1016/j.atmosenv.2018.03.017, 2018.
Zhang, W., Xu, D., Zhuang, G., Wang, W., and Guo, L.: Characteristics of ambient 1-min PM2.5 variation in Beijing, Environ. Monit. Assess., 165, 137–146, https://doi.org/10.1007/s10661-009-0933-6, 2010.
Zheng, T., Bergin, M. H., Johnson, K. K., Tripathi, S. N., Shirodkar, S., Landis, M. S., Sutaria, R., and Carlson, D. E.: Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments, Atmos. Meas. Tech., 11, 4823–4846, https://doi.org/10.5194/amt-11-4823-2018, 2018.
Zou, B., Luo, Y., Wan, N., Zheng, Z., Sternberg, T., and Liao, Y.: Performance comparison of LUR and ok in PM2.5 concentration mapping: a multidimensional perspective, Sci. Rep., 5, 8698, https://doi.org/10.1038/srep08698, 2015.
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.
This study presents strategies of method selection for 100 m scale PM2.5 mapping using a...