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Berge E, Ulimoen M, Dobler A, Kashparov VA, Klein H, Lind OC. A study of particle dry deposition parameterizations in an atmospheric radioactive preparedness model: Application to the Chernobyl case. JOURNAL OF HAZARDOUS MATERIALS 2024; 474:134638. [PMID: 38838529 DOI: 10.1016/j.jhazmat.2024.134638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 05/15/2024] [Accepted: 05/16/2024] [Indexed: 06/07/2024]
Abstract
Parameterization of dry deposition is key for modelling of atmospheric transport and deposition of radioactive particles. Still, very simple parameterizations are often encountered in radioactive preparedness models such as the SNAP model (SNAP=Severe Nuclear Accident Program) of the Norwegian Meteorological Institute. In SNAP a constant dry deposition velocity (=0.2 cm/s) neglecting aerodynamic and surface resistances, is presently used. Therefore, two new dry depositions schemes (the Emerson scheme and the EMEP (European Monitoring and Evaluation Programme) scheme) have been implemented in SNAP to evaluate the benefits of including aerodynamic and surface resistances codes with respect to model prediction skills. The three dry deposition schemes are evaluated using 137Cs total deposition from soil sample data (n = 540) for a 60 km radial zone out from the Chernobyl Nuclear Power Plant (ChNPP) collected during the months after the accident. The present study capitalizes on high resolution meteorological data (2.5 km horizontal resolution), a detailed land-use data set with 273 sub-classes and the hitherto most comprehensive source term description for the Chernobyl accident. Based on our findings it is recommended to replace the present simple SNAP scheme with the Emerson or EMEP dry deposition scheme.
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Affiliation(s)
- Erik Berge
- The Norwegian Meteorological Institute, Oslo, Norway.
| | | | | | - Valery Alexandrovich Kashparov
- Ukrainian Institute of Agricultural Radiology (UIAR) of National University of Life and Environment Sciences of Ukraine, Kyiv, Ukraine
| | - Heiko Klein
- The Norwegian Meteorological Institute, Oslo, Norway
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2
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Ren F, Qiu Z, Liu Z, Bai H. Impact of urban tree arrangement on pedestrian exposure to the size-fractional particulate matter in a city boulevard. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 357:124443. [PMID: 38936791 DOI: 10.1016/j.envpol.2024.124443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 06/22/2024] [Accepted: 06/24/2024] [Indexed: 06/29/2024]
Abstract
Trees act as natural filters that mitigate roadside air pollution. However, the filtration impact of different tree arrangements on traffic pollutants with different particle diameters has rarely been analysed in real street canyon environments. To quantify how roadside tree arrangements impact pedestrian exposure to particle number concentrations (PNCs) of different diameters (0.25-32 μm), in situ field measurements were carried out in a boulevard-type street canyon in the city of Xi'an, China. This study analysed the experimental data of PNCs collected along segments of a pedestrian lane under four typical tree arrangements: open space without trees, a sparse-spaced tree arrangement, a medium-spaced tree arrangement, and a dense-spaced tree arrangement in a street canyon. Our results reveal that the effect of tree arrangement on PNCs depended on the particle diameter. In general, trees can significantly reduce coarse PNC (particles with diameters > 2.5 μm) but not the fine PNC. Quantitative analysis showed that a medium-spaced tree arrangement, in which tree crowns are adjacent to each other but do not overlap, is the most capable of reducing PNC, followed by a sparse-spaced tree arrangement, while a the dense-spaced tree arrangement has the least impact. The attenuation effect of trees on the PNCs increased with increasing particle diameter. Moreover, the presence of trees altered the local microclimate, which also affected how exposure to PNCs changed. Our empirical findings further highlight the complexity of how trees affect particulate pollutants in street canyons and provide timely insights for enhancing tree-planning management in cities from the perspective of air quality improvement.
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Affiliation(s)
- Feihong Ren
- School of Architecture, Chang'an University, Xi'an 710061 Shaanxi, China; School of Automobile, Chang'an University, Xi'an 710086 Shaanxi, China
| | - Zhaowen Qiu
- School of Automobile, Chang'an University, Xi'an 710086 Shaanxi, China.
| | - Zhen Liu
- School of Automobile, Chang'an University, Xi'an 710086 Shaanxi, China
| | - Hua Bai
- School of Architecture, Chang'an University, Xi'an 710061 Shaanxi, China
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3
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Ossola R, Farmer D. The Chemical Landscape of Leaf Surfaces and Its Interaction with the Atmosphere. Chem Rev 2024; 124:5764-5794. [PMID: 38652704 PMCID: PMC11082906 DOI: 10.1021/acs.chemrev.3c00763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 04/03/2024] [Accepted: 04/11/2024] [Indexed: 04/25/2024]
Abstract
Atmospheric chemists have historically treated leaves as inert surfaces that merely emit volatile hydrocarbons. However, a growing body of evidence suggests that leaves are ubiquitous substrates for multiphase reactions-implying the presence of chemicals on their surfaces. This Review provides an overview of the chemistry and reactivity of the leaf surface's "chemical landscape", the dynamic ensemble of compounds covering plant leaves. We classified chemicals as endogenous (originating from the plant and its biome) or exogenous (delivered from the environment), highlighting the biological, geographical, and meteorological factors driving their contributions. Based on available data, we predicted ≫2 μg cm-2 of organics on a typical leaf, leading to a global estimate of ≫3 Tg for multiphase reactions. Our work also highlighted three major knowledge gaps: (i) the overlooked role of ambient water in enabling the leaching of endogenous substances and mediating aqueous chemistry; (ii) the importance of phyllosphere biofilms in shaping leaf surface chemistry and reactivity; (iii) the paucity of studies on the multiphase reactivity of atmospheric oxidants with leaf-adsorbed chemicals. Although biased toward available data, we hope this Review will spark a renewed interest in the leaf surface's chemical landscape and encourage multidisciplinary collaborations to move the field forward.
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Affiliation(s)
- Rachele Ossola
- Department of Chemistry, Colorado
State University, 80523 Fort Collins, Colorado (United States)
| | - Delphine Farmer
- Department of Chemistry, Colorado
State University, 80523 Fort Collins, Colorado (United States)
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4
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Clifton OE, Schwede D, Hogrefe C, Bash JO, Bland S, Cheung P, Coyle M, Emberson L, Flemming J, Fredj E, Galmarini S, Ganzeveld L, Gazetas O, Goded I, Holmes CD, Horváth L, Huijnen V, Li Q, Makar PA, Mammarella I, Manca G, Munger JW, Pérez-Camanyo JL, Pleim J, Ran L, Jose RS, Silva SJ, Staebler R, Sun S, Tai APK, Tas E, Vesala T, Weidinger T, Wu Z, Zhang L. A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4). ATMOSPHERIC CHEMISTRY AND PHYSICS 2023; 23:9911-9961. [PMID: 37990693 PMCID: PMC10659075 DOI: 10.5194/acp-23-9911-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
A primary sink of air pollutants and their precursors is dry deposition. Dry deposition estimates differ across chemical transport models, yet an understanding of the model spread is incomplete. Here, we introduce Activity 2 of the Air Quality Model Evaluation International Initiative Phase 4 (AQMEII4). We examine 18 dry deposition schemes from regional and global chemical transport models as well as standalone models used for impact assessments or process understanding. We configure the schemes as single-point models at eight Northern Hemisphere locations with observed ozone fluxes. Single-point models are driven by a common set of site-specific meteorological and environmental conditions. Five of eight sites have at least 3 years and up to 12 years of ozone fluxes. The interquartile range across models in multiyear mean ozone deposition velocities ranges from a factor of 1.2 to 1.9 annually across sites and tends to be highest during winter compared with summer. No model is within 50 % of observed multiyear averages across all sites and seasons, but some models perform well for some sites and seasons. For the first time, we demonstrate how contributions from depositional pathways vary across models. Models can disagree with respect to relative contributions from the pathways, even when they predict similar deposition velocities, or agree with respect to the relative contributions but predict different deposition velocities. Both stomatal and nonstomatal uptake contribute to the large model spread across sites. Our findings are the beginning of results from AQMEII4 Activity 2, which brings scientists who model air quality and dry deposition together with scientists who measure ozone fluxes to evaluate and improve dry deposition schemes in the chemical transport models used for research, planning, and regulatory purposes.
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Affiliation(s)
- Olivia E. Clifton
- NASA Goddard Institute for Space Studies, New York, NY, USA
- Center for Climate Systems Research, Columbia Climate School, Columbia University in the City of New York, New York, NY, USA
| | - Donna Schwede
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Christian Hogrefe
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Jesse O. Bash
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Sam Bland
- Stockholm Environment Institute, Environment and Geography Department, University of York, York, UK
| | - Philip Cheung
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Mhairi Coyle
- United Kingdom Centre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian, UK
- The James Hutton Institute, Craigiebuckler, Aberdeen, UK
| | - Lisa Emberson
- Environment and Geography Department, University of York, York, UK
| | | | - Erick Fredj
- Department of Computer Science, The Jerusalem College of Technology, Jerusalem, Israel
| | | | - Laurens Ganzeveld
- Meteorology and Air Quality Section, Wageningen University, Wageningen, the Netherlands
| | - Orestis Gazetas
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - Ignacio Goded
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - Christopher D. Holmes
- Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, USA
| | - László Horváth
- ELKH-SZTE Photoacoustic Research Group, Department of Optics and Quantum Electronics, University of Szeged, Szeged, Hungary
| | - Vincent Huijnen
- Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
| | - Qian Li
- The Institute of Environmental Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Paul A. Makar
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Ivan Mammarella
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Giovanni Manca
- Joint Research Centre (JRC), European Commission, Ispra, Italy
| | - J. William Munger
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
- Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
| | | | - Jonathan Pleim
- Center for Environmental Measurement and Modeling, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Limei Ran
- Natural Resources Conservation Service, United States Department of Agriculture, Greensboro, NC, USA
| | - Roberto San Jose
- Computer Science School, Technical University of Madrid (UPM), Madrid, Spain
| | - Sam J. Silva
- Department of Earth Sciences, University of Southern California, Los Angeles, CA, USA
| | - Ralf Staebler
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
| | - Shihan Sun
- Earth and Environmental Sciences Programme, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
| | - Amos P. K. Tai
- Earth and Environmental Sciences Programme, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
| | - Eran Tas
- The Institute of Environmental Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Timo Vesala
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
- Institute for Atmospheric and Earth System Research/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland
| | - Tamás Weidinger
- Department of Meteorology, Institute of Geography and Earth Sciences, Eötvös Loránd University, Budapest, Hungary
| | - Zhiyong Wu
- ORISE Fellow at Center for Environmental Measurement and Modeling, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Leiming Zhang
- Air Quality Research Division, Atmospheric Science and Technology Directorate, Environment and Climate Change Canada, Toronto, Canada
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5
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Ji W, Hao X, Kokhanovsky A, Shao D, Wang J, Li H, Huang G, Zhong X, Yang Q, Yang Y. Reflection of Solar Light from Surface Snow Loaded with Light-Absorbing Impurities: A Case Study of Black Carbon, Mineral Dust, and Ash. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023. [PMID: 37285475 DOI: 10.1021/acs.est.3c01280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Using a hemispherical directional reflectance factor instrument, spectral data of dirty snow containing black carbon (BC), mineral dust (MD), and ash was collected from multiple locations to investigate the impact of these light-absorbing impurities (LAIs) on snow reflectance characteristics. The findings revealed that the perturbation of snow reflectance caused by LAIs is characterized by nonlinear deceleration, indicating that the reduction in snow reflectance per unit ppm of LAIs declines as snow contamination increases. The reduction in snow reflectance caused by BC may reach saturation at elevated particle concentrations (thousands of ppm) on snow. Snowpacks loaded with MD or ash initially exhibit a significant reduction in spectral slope around 600 and 700 nm. The deposition of numerous MD or ash particles can increase snow reflectance beyond the wavelength of 1400 nm, with an increase of 0.1 for MD and 0.2 for ash. BC can darken the entire measurement range (350-2500 nm), while MD and ash can only affect up to 1200 nm (350-1200 nm). This study enhances our understanding of the multi-angle reflection characteristics of various dirty snow, which can guide future snow albedo simulations and improve the accuracy of LAIs' remote sensing retrieval algorithms.
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Affiliation(s)
- Wenzheng Ji
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaohua Hao
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
- Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | | | - Donghang Shao
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Jian Wang
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Hongyi Li
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
- Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Guanghui Huang
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Xinyue Zhong
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Qian Yang
- State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Yaru Yang
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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6
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Cui X, Peng L, Guo Y, Zhang G, Liu H, Wen Y, Zhang G, Sun J. Distribution, source identification and ecological effects of aerosol dissolved nutrients in the Bohai Bay. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 320:121069. [PMID: 36639046 DOI: 10.1016/j.envpol.2023.121069] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/27/2022] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
The atmospheric aerosols around the Bohai Bay are affected intensively by the surrounding industrial, shipping and other human activities. Although atmospheric dry deposition is an important way for nutrients to enter the Bohai Bay, few studies explore the distribution patterns, source and deposition fluxes of typical nutrients in aerosols and their impacts on the marine ecosystem. This paper explored the spatial-temporal distribution of typical aerosol nutrients in summer and autumn, and their source and ecological effects were illustrated further. The mean concentration of dissolved total phosphorus (DTP), dissolved total nitrogen (DTN), dissolved organic nitrogen (DON), dissolved inorganic nitrogen (DIN), ammonium (NH4-N), nitrate (NO3-N), nitrite (NO2-N), silicate (SiO3-Si), phosphate (PO4-P), and dissolved organic phosphorus (DOP) were 31.22, 847.22, 288.19, 559.77, 288.19, 304.00, 253.65, 2.12, 15.74 and 15.48 nmol/m3, respectively, while their fluxes were corresponding to 0.61, 8.36, 2.52, 4.90, 1.41, 2.49, 0.02, 0.04, 0.19 and 0.26 mmol/(m2 month). Typical aerosol nutrient concentrations in autumn were mostly higher than those in summer, with high values occurring mainly in the central region. The potential sources of pollution were mainly concentrated in Shandong and Mongolia, and the sources of pollution were mainly agriculture, dust and industry. The large N:P and N:Si ratios in the dry deposition likely exacerbated Si and P limitation in the water column. These results provided the data basis for evaluating the pollution status and revealed that the dry deposition of aerosol nutrients should not be neglected by the ecological environment in the Bohai Bay.
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Affiliation(s)
- Xudong Cui
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Liying Peng
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Yu Guo
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Guicheng Zhang
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Haijiao Liu
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Yujian Wen
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Guodong Zhang
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Jun Sun
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Institute for Advanced Marine Research, China University of Geosciences, Guangzhou, 511462, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences (Wuhan), Wuhan, 430074, China.
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7
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Zhang L, He J, Gong S, Guo X, Zhao T, Che H, Wang H, Zhou C, Mo J, Gui K, Zheng Y, Li L, Zhong J, Zhang X. Modeling study on the roles of the deposition and transport of PM 2.5 in air quality changes over central-eastern China. J Environ Sci (China) 2023; 123:535-544. [PMID: 36522012 DOI: 10.1016/j.jes.2022.10.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 10/20/2022] [Accepted: 10/20/2022] [Indexed: 06/17/2023]
Abstract
The role of PM2.5 (particles with aerodynamic diameters ≤ 2.5 µm) deposition in air quality changes over China remains unclear. By using the three-year (2013, 2015, and 2017) simulation results of the WRF/CUACE v1.0 model from a previous work (Zhang et al., 2021), a non-linear relationship between the deposition of PM2.5 and anthropogenic emissions over central-eastern China in cold seasons as well as in different life stages of haze events was unraveled. PM2.5 deposition is spatially distributed differently from PM2.5 concentrations and anthropogenic emissions over China. The North China Plain (NCP) is typically characterized by higher anthropogenic emissions compared to southern China, such as the middle-low reaches of Yangtze River (MLYR), which includes parts of the Yangtze River Delta and the Midwest. However, PM2.5 deposition in the NCP is significantly lower than that in the MLYR region, suggesting that in addition to meteorology and emissions, lower deposition is another important factor in the increase in haze levels. Regional transport of pollution in central-eastern China acts as a moderator of pollution levels in different regions, for example by bringing pollution from the NCP to the MLYR region in cold seasons. It was found that in typical haze events the deposition flux of PM2.5 during the removal stages is substantially higher than that in accumulation stages, with most of the PM2.5 being transported southward and deposited to the MLYR and Sichuan Basin region, corresponding to a latitude range of about 24°N-31°N.
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Affiliation(s)
- Lei Zhang
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
| | - Jianjun He
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Sunling Gong
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
| | - Xiaomei Guo
- Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China; Weather Modification Office of Sichuan Province, Chengdu 610072, China
| | - Tianliang Zhao
- Climate and Weather Disasters Collaborative Innovation Center, Nanjing University of Information Science &Technology, Nanjing 210044, China
| | - Huizheng Che
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Hong Wang
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Chunhong Zhou
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Jingyue Mo
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Ke Gui
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Yu Zheng
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Lei Li
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Junting Zhong
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Xiaoye Zhang
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
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8
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Cheng B, Alapaty K, Shu Q, Arunachalam S. Dry Deposition Methods Based on Turbulence Kinetic Energy: Part 2. Extension to Particle Deposition Using a Single-Point Model. JOURNAL OF GEOPHYSICAL RESEARCH. ATMOSPHERES : JGR 2022; 127:1-19. [PMID: 36544786 PMCID: PMC9762401 DOI: 10.1029/2022jd037803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
Magnitude of atmospheric turbulence, a key driver of several processes that contribute to aerosol (i.e., particle) deposition, is underrepresented in current models. Various formulations have been developed to model particle dry deposition; all these formulations typically rely on friction velocity and some use additional ad hoc factors to represent enhanced impacts of turbulence. However, none were formally linked with the three-dimensional (3-D) turbulence. Here, we propose a set of 3-D turbulence-dependent resistance formulations for particle dry deposition simulation and intercompare the performance of new resistance formulations with that obtained from using the existing formulations and measured dry deposition velocity. Turbulence parameters such as turbulence velocity scale, turbulence factor, intensity of turbulence, effective sedimentation velocity, and effective Stokes number are newly introduced into two different particle deposition schemes to improve turbulence strength representation. For an assumed particle size distribution, the newly proposed schemes predict stronger diurnal variation of particle dry deposition velocity and are comparable to corresponding measurements while existing formulations indicate large underpredictions. We also find that the incorporation of new turbulence parameters either introduced or added stronger diurnal variability to sedimentation velocity and collection efficiencies values, making the new schemes predict higher deposition values during daytime and nighttime when compared to existing schemes. The findings from this research may help improve the capability of dry deposition schemes in regional and global models.
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Affiliation(s)
- Bin Cheng
- Postdoctoral Research Participant, Oak Ridge Institute for Science and Education/Office of Research and Development/Center for Environmental Measurement and Modeling/Atmospheric and Environmental Systems Modeling Division /U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
- Institute for the Environment, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kiran Alapaty
- Center for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Qian Shu
- Postdoctoral Research Participant, Oak Ridge Institute for Science and Education/Office of Research and Development/Center for Environmental Measurement and Modeling/Atmospheric and Environmental Systems Modeling Division /U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Saravanan Arunachalam
- Institute for the Environment, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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9
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DeYoung JL, Shaw SK. Host surface orientation impacts environmental film accumulations. CHEMOSPHERE 2022; 307:135823. [PMID: 35973506 DOI: 10.1016/j.chemosphere.2022.135823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 06/15/2023]
Abstract
Two environmental films were passively collected in different orientations (vertical or horizontal) at the same location over two months. We characterized these films using bright field microscopy, total dissolved species analysis, pH analysis, vibrational interfacial spectroscopy, and contact angle goniometry. Results show that horizontal films have significantly higher surface coverage than the vertical samples (+50%). The vertical and horizontal films also show different particle morphologies but the particle size distributions are not statistically different. Vertical surfaces have smaller, less compact particulate suggesting particle adsorption depends on the surface area in contact with the parent substrate. Horizontal surfaces also generate more total dissolved solid material per unit area when washed with water (+61%). The dissolved solids from the vertical substrate are more acidic per unit mass, suggesting increased pH active species like nitrate, sulfate, or organic acids. Vibrational spectroscopy provides evidence of nitrates and sulfates in both films, but spectroscopic profiles show these ions are present in different forms. Contact angle goniometry measurements show horizontal films are more hydrophilic than vertical films, despite being deposited on the same substrate material. We also report significantly different hydrogen bonding environments for condensed water between the two films. Our results suggest that environmental films deposited on vertical vs horizontal surfaces will have significantly different characteristics, informing models for deposition and impacts to human and environmental health.
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10
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Meso-scale numerical analysis for transport and deposition behaviors of radioactive aerosols under severe nuclear accident. PROGRESS IN NUCLEAR ENERGY 2022. [DOI: 10.1016/j.pnucene.2022.104314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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11
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Manibusan S, Mainelis G. Passive Bioaerosol Samplers: A Complementary Tool for Bioaerosol Research. A Review. JOURNAL OF AEROSOL SCIENCE 2022; 163:105992. [PMID: 36386279 PMCID: PMC9648171 DOI: 10.1016/j.jaerosci.2022.105992] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Bioaerosols consist of airborne particles of biological origin. They play an important role in our environment and may cause negative health effects. The presence of biological aerosol is typically determined using active samplers. While passive bioaerosol samplers are used much less frequently in bioaerosol investigations, they offer certain advantages, such as simple design, low cost, and long sampling duration. This review discusses different types of passive bioaerosol samplers, including their collection mechanisms, advantages and disadvantages, applicability in different sampling environments, and available sample elution and analysis methods. Most passive samplers are based on gravitational settling and electrostatic capture mechanism or their combination. We discuss the agar settle plate, dustfall collector, Personal Aeroallergen Sampler (PAAS), and settling filters among the gravity-based samplers. The described electrostatics-based samplers include electrostatic dust cloths (EDC) and Rutgers Electrostatic Passive Sampler (REPS). In addition, the review also discusses passive opportunity samplers using preexisting airflow, such as filters in HVAC systems. Overall, passive bioaerosol sampling technologies are inexpensive, easy to operate, and can continuously sample for days and even weeks which is not easily accomplished by active sampling devices. Although passive sampling devices are usually treated as qualitative tools, they still provide information about bioaerosol presence and diversity, especially over longer time scales. Overall, this review suggests that the use of passive bioaerosol samplers alongside active collection devices can aid researchers in developing a more comprehensive understanding of biological presence and dynamics, especially over extended time scales and multiple locations.
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Affiliation(s)
| | - Gediminas Mainelis
- Corresponding author: Gediminas Mainelis, Phone: 848-932-5707, Fax: 732-932-8644
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