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Wu Y, Wang Y, Yang J, Zhang T, Gu B, Wang J, Sun H, Li C, Ren F, Wang P, Huang L, Liu Y. Unequal Health Burden from Air Pollution among Minors in Education. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:13668-13677. [PMID: 39045834 DOI: 10.1021/acs.est.4c02733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
Air pollution exposure has been linked to a variety of adverse health outcomes among minors; yet little is known about the associated health inequity across regions and schools. Here, we assessed the unequal health burden linked to particulate matter exposure among minors of 10,358 schools in China through 12,439,232 individual health records. Our findings highlight the persistent health risks with superlinear concentration-response patterns and following inverted U-shaped risk trends, that each 10 μg/m3 increase in PM2.5 exposure resulted in 4.1% (3.9-4.2%) additional school absenteeism risk. Compared to urban well-built schools, minors in rural poor-built schools experienced significantly higher exposure and slower rate of risk reduction and had over 80.0% less medical resources while bearing 145.2% of the health burden. Disparities in pollution exposure, built environment, and resource allocation are intertwined to shape the health inequity pattern, especially between rural and urban schools. These findings underscore the urgency for persistent efforts aimed at disadvantaged schools to reduce pollution exposure and equitably distribute social resources, ultimately securing an impartial health-centered education for minors.
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Affiliation(s)
- Yangyang Wu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing 210023, China
| | - Yiyi Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing 210023, China
| | - Jie Yang
- Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu Road 172, Nanjing 210009, China
| | - Ting Zhang
- Sid and Reva Dewberry Department of Civil, Environmental, & Infrastructure Engineering, George Mason University, 4400 University Dr, Fairfax, Virginia 22030, United States
| | - Baojing Gu
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jiaming Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing 210023, China
| | - Hong Sun
- Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu Road 172, Nanjing 210009, China
| | - Chen Li
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing 210023, China
- Center for Public Health Research, Medical School, Nanjing University, Nanjing, Jiangsu 210093, P.R. China
| | - Futian Ren
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing 210023, China
| | - Peng Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing 210023, China
- Faculty of Civil Engineering and Mechanics, Jiangsu University, 301 Xuefu Road, Jingkou District, Zhenjiang, Jiangsu 212013, China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing 210023, China
| | - Yang Liu
- Gangarosa Department of Environmental Health Rollins School of Public Health, Emory University, 201 Dowman Dr, Atlanta, Georgia 30322, United States
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Xu J, Saeedi M, Zalzal J, Zhang M, Ganji A, Mallinen K, Wang A, Lloyd M, Venuta A, Simon L, Weichenthal S, Hatzopoulou M. Exploring the triple burden of social disadvantage, mobility poverty, and exposure to traffic-related air pollution. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 920:170947. [PMID: 38367734 DOI: 10.1016/j.scitotenv.2024.170947] [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: 10/03/2023] [Revised: 01/26/2024] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
Understanding the relationships between ultrafine particle (UFP) exposure, socioeconomic status (SES), and sustainable transportation accessibility in Toronto, Canada is crucial for promoting public health, addressing environmental justice, and ensuring transportation equity. We conducted a large-scale mobile measurement campaign and employed a gradient boost model to generate exposure surfaces using land use, built environment, and meteorological conditions. The Ontario Marginalization Index was used to quantify various indicators of social disadvantage for Toronto's neighborhoods. Our findings reveal that people in socioeconomically disadvantaged areas experience elevated UFP exposures. We highlight significant disparities in accessing sustainable transportation, particularly in areas with higher ethnic concentrations. When factoring in daily mobility, UFP exposure disparities in disadvantaged populations are further exacerbated. Furthermore, individuals who do not generate emissions themselves are consistently exposed to higher UFPs, with active transportation users experiencing the highest UFP exposures both at home and at activity locations. Finally, we proposed a novel index, the Community Prioritization Index (CPI), incorporating three indicators, including air quality, social disadvantage, and sustainable transportation. This index identifies neighborhoods experiencing a triple burden, often situated near major infrastructure hubs with high diesel truck activity and lacking greenspace, marking them as high-priority areas for policy action and targeted interventions.
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Affiliation(s)
- Junshi Xu
- Civil and Mineral Engineering, University of Toronto, Canada.
| | - Milad Saeedi
- Civil and Mineral Engineering, University of Toronto, Canada.
| | - Jad Zalzal
- Civil and Mineral Engineering, University of Toronto, Canada.
| | - Mingqian Zhang
- Civil and Mineral Engineering, University of Toronto, Canada
| | - Arman Ganji
- Civil and Mineral Engineering, University of Toronto, Canada.
| | - Keni Mallinen
- Civil and Mineral Engineering, University of Toronto, Canada.
| | - An Wang
- Urban Lab, Massachusetts Institute of Technology, United States.
| | - Marshall Lloyd
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada.
| | - Alessya Venuta
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada.
| | - Leora Simon
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada.
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada.
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Nair AA, Lin S, Luo G, Ryan I, Qi Q, Deng X, Yu F. Environmental exposure disparities in ultrafine particles and PM 2.5 by urbanicity and socio-demographics in New York state, 2013-2020. ENVIRONMENTAL RESEARCH 2023; 239:117246. [PMID: 37806474 DOI: 10.1016/j.envres.2023.117246] [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: 02/21/2023] [Revised: 09/07/2023] [Accepted: 09/17/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND The spatiotemporal and demographic disparities in exposure to ultrafine particles (UFP; number concentrations of particulate matter (PM) with diameter ≤0.1 μm), a key subcomponent of fine aerosols (PM2.5; mass concentrations of PM ≤ 2.5 μm), have not been well studied. OBJECTIVE To quantify and compare the aerosol pollutant exposure disparities for UFP and PM2.5 by socio-demographic factors in New York State (NYS). METHODS Ambient atmospheric UFP and PM2.5 were quantified using a global three-dimensional model of chemical transport with state-of-the-science aerosol microphysical processes validated extensively with observations. We matched these to U.S. census demographic data for varied spatial scales (state, county, county subdivision) and derived population-weighted aerosol exposure estimates. Aerosol exposure disparities for each demographic and socioeconomic (SES) indicator, with a focus on race-ethnicity and income, were quantified for the period 2013-2020. RESULTS The average NYS resident was exposed to 4451 #·cm-3 UFP and 7.87 μg·m-3 PM2.5 in 2013-2020, but minority race-ethnicity groups were invariably exposed to greater daily aerosol pollution (UFP: +75.0% & PM2.5: +16.2%). UFP has increased since 2017 and is temporally and seasonally out-of-phase with PM2.5. Race-ethnicity exposure disparities for PM2.5 have declined over time; by -6% from 2013 to 2017 and plateaued thereafter despite its decreasing concentrations. In contrast, these disparities have increased (+12.5-13.5%) for UFP. The aerosol pollution exposure disparities were the highest for low-income minorities and were more amplified for UFP than PM2.5. DISCUSSION: We identified large disparities in aerosol pollution exposure by urbanization level and socio-demographics in NYS residents. Jurisdictions with higher proportions of race-ethnicity minorities, low-income residents, and greater urbanization were disproportionately exposed to higher concentrations of UFP and PM2.5 than other NYS residents. These race-ethnicity exposure disparities were much larger, more disproportionate, and unabating over time for UFP compared to PM2.5 across various income strata and levels of urbanicity.
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Affiliation(s)
- Arshad Arjunan Nair
- Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12226, USA.
| | - Shao Lin
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY 12144, USA; Department of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY 12144, USA
| | - Gan Luo
- Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12226, USA
| | - Ian Ryan
- Department of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY 12144, USA
| | - Quan Qi
- Department of Economics, University at Albany, State University of New York, Albany, NY 12222, USA
| | - Xinlei Deng
- Department of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY 12144, USA
| | - Fangqun Yu
- Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12226, USA.
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Casey JA, Daouda M, Babadi RS, Do V, Flores NM, Berzansky I, González DJ, Van Horne YO, James-Todd T. Methods in Public Health Environmental Justice Research: a Scoping Review from 2018 to 2021. Curr Environ Health Rep 2023; 10:312-336. [PMID: 37581863 PMCID: PMC10504232 DOI: 10.1007/s40572-023-00406-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2023] [Indexed: 08/16/2023]
Abstract
PURPOSE OF REVIEW The volume of public health environmental justice (EJ) research produced by academic institutions increased through 2022. However, the methods used for evaluating EJ in exposure science and epidemiologic studies have not been catalogued. Here, we completed a scoping review of EJ studies published in 19 environmental science and epidemiologic journals from 2018 to 2021 to summarize research types, frameworks, and methods. RECENT FINDINGS We identified 402 articles that included populations with health disparities as a part of EJ research question and met other inclusion criteria. Most studies (60%) evaluated EJ questions related to socioeconomic status (SES) or race/ethnicity. EJ studies took place in 69 countries, led by the US (n = 246 [61%]). Only 50% of studies explicitly described a theoretical EJ framework in the background, methods, or discussion and just 10% explicitly stated a framework in all three sections. Among exposure studies, the most common area-level exposure was air pollution (40%), whereas chemicals predominated personal exposure studies (35%). Overall, the most common method used for exposure-only EJ analyses was main effect regression modeling (50%); for epidemiologic studies the most common method was effect modification (58%), where an analysis evaluated a health disparity variable as an effect modifier. Based on the results of this scoping review, current methods in public health EJ studies could be bolstered by integrating expertise from other fields (e.g., sociology), conducting community-based participatory research and intervention studies, and using more rigorous, theory-based, and solution-oriented statistical research methods.
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Affiliation(s)
- Joan A. Casey
- University of Washington School of Public Health, Seattle, WA USA
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Misbath Daouda
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Ryan S. Babadi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Vivian Do
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Nina M. Flores
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Isa Berzansky
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
| | - David J.X. González
- Department of Environmental Science, Policy & Management and School of Public Health, University of California, Berkeley, Berkeley, CA 94720 USA
| | | | - Tamarra James-Todd
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
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Carmona N, Edmund S, Gould TR, Rasyid E, Shirai JH, Cummings BJ, Hayward L, Larson TV, Austin E. Indoor Air Quality Intervention in Schools: Effectiveness of a Portable HEPA Filter Deployment in Five Schools Impacted by Roadway and Aircraft Pollution Sources. ATMOSPHERE 2022; 13:1623. [PMID: 39210963 PMCID: PMC11361409 DOI: 10.3390/atmos13101623] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
The Healthy Air, Healthy Schools Study was established to better understand the impact of ultrafine particles (UFPs) on indoor air quality in communities surrounding Seattle-Tacoma (Sea-Tac) International Airport. The study team took multipollutant measurements of indoor and outdoor air pollution at five participating school locations to estimate infiltration indoors. The schools participating in this project were located within a 7-mile radius of Sea-Tac International Airport and within 0.5 mile of an active flight path. Based on experimental measures in an unoccupied classroom, infiltration rates of (a) UFPs of aircraft origin, (b) UFPs of traffic origin, and (c) wildfire smoke or other outdoor pollutants were characterized before and after the introduction of a portable high-efficiency particulate air (HEPA) filter intervention. The portable HEPA cleaners were an effective short-term intervention to improve the air quality in classroom environments, reducing the UFP count concentration from one-half to approximately one-tenth of that measured outside. This study is unique in focusing on UFPs in schools and demonstrating that UFPs measured in classroom spaces are primarily of outdoor origin. Although existing research suggests that reducing particulate matter in homes can significantly improve asthma outcomes, further investigation is necessary to establish the benefits to student health and academic performance of reducing UFP exposures in schools.
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Affiliation(s)
- Nancy Carmona
- Department of Environmental & Occupational Health Sciences, University of washington, Seattle, WA 98195, USA
| | - Seto Edmund
- Department of Environmental & Occupational Health Sciences, University of washington, Seattle, WA 98195, USA
| | - Timothy R. Gould
- Department of Civil & Environmental Engineering, University of Washington, Seattle, WA 98195, USA
| | - Everetta Rasyid
- Department of Environmental & Occupational Health Sciences, University of washington, Seattle, WA 98195, USA
| | - Jeffry H. Shirai
- Department of Environmental & Occupational Health Sciences, University of washington, Seattle, WA 98195, USA
| | - BJ Cummings
- Department of Environmental & Occupational Health Sciences, University of washington, Seattle, WA 98195, USA
| | - Lisa Hayward
- Department of Environmental & Occupational Health Sciences, University of washington, Seattle, WA 98195, USA
| | - Timothy V. Larson
- Department of Environmental & Occupational Health Sciences, University of washington, Seattle, WA 98195, USA
- Department of Civil & Environmental Engineering, University of Washington, Seattle, WA 98195, USA
| | - Elena Austin
- Department of Environmental & Occupational Health Sciences, University of washington, Seattle, WA 98195, USA
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Fong KC, Heo S, Lim CC, Kim H, Chan A, Lee W, Stewart R, Choi HM, Son JY, Bell ML. The Intersection of Immigrant and Environmental Health: A Scoping Review of Observational Population Exposure and Epidemiologic Studies. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:96001. [PMID: 36053724 PMCID: PMC9438924 DOI: 10.1289/ehp9855] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/05/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Transnational immigration has increased since the 1950s. In countries such as the United States, immigrants now account for > 15 % of the population. Although differences in health between immigrants and nonimmigrants are well documented, it is unclear how environmental exposures contribute to these disparities. OBJECTIVES We summarized current knowledge comparing immigrants' and nonimmigrants' exposure to and health effects of environmental exposures. METHODS We conducted a title and abstract review on articles identified through PubMed and selected those that assessed environmental exposures or health effects separately for immigrants and nonimmigrants. After a full text review, we extracted the main findings from eligible studies and categorized each article as exposure-focused, health-focused, or both. We also noted each study's exposure of interest, study location, exposure and statistical methods, immigrant and comparison groups, and the intersecting socioeconomic characteristics controlled for. RESULTS We conducted a title and abstract review on 3,705 articles, a full text review on 84, and extracted findings from 50 studies. There were 43 studies that investigated exposure (e.g., metals, organic compounds, fine particulate matter, hazardous air pollutants) disparities, but only 12 studies that assessed health disparities (e.g., mortality, select morbidities). Multiple studies reported higher exposures in immigrants compared with nonimmigrants. Among immigrants, studies sometimes observed exposure disparities by country of origin and time since immigration. Of the 50 studies, 43 were conducted in North America. DISCUSSION The environmental health of immigrants remains an understudied area, especially outside of North America. Although most identified studies explored potential exposure disparities, few investigated subsequent differences in health effects. Future research should investigate environmental health disparities of immigrants, especially outside North America. Additional research gaps include the role of immigrants' country of origin and time since immigration, as well as the combined effects of immigrant status with intersecting socioeconomic characteristics, such as race/ethnicity, income, and education attainment. https://doi.org/10.1289/EHP9855.
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Affiliation(s)
- Kelvin C. Fong
- School of the Environment, Yale University, New Haven, Connecticut, USA
- Department of Earth and Environmental Sciences, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Seulkee Heo
- School of the Environment, Yale University, New Haven, Connecticut, USA
| | - Chris C. Lim
- Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Honghyok Kim
- School of the Environment, Yale University, New Haven, Connecticut, USA
| | - Alisha Chan
- School of the Environment, Yale University, New Haven, Connecticut, USA
- School of Engineering & Applied Science, Yale University, New Haven, Connecticut, USA
| | - Whanhee Lee
- School of the Environment, Yale University, New Haven, Connecticut, USA
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Rory Stewart
- School of the Environment, Yale University, New Haven, Connecticut, USA
| | | | - Ji-Young Son
- School of the Environment, Yale University, New Haven, Connecticut, USA
| | - Michelle L. Bell
- School of the Environment, Yale University, New Haven, Connecticut, USA
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Li X, Baumgartner J, Barrington-Leigh C, Harper S, Robinson B, Shen G, Sternbach T, Tao S, Zhang X, Zhang Y, Carter E. Socioeconomic and Demographic Associations with Wintertime Air Pollution Exposures at Household, Community, and District Scales in Rural Beijing, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:8308-8318. [PMID: 35675631 DOI: 10.1021/acs.est.1c07402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The Chinese government implemented a national household energy transition program that replaced residential coal heating stoves with electricity-powered heat pumps for space heating in northern China. As part of a baseline assessment of the program, this study investigated variability in personal air pollution exposures within villages and between villages and evaluated exposure patterns by sociodemographic factors. We randomly recruited 446 participants in 50 villages in four districts in rural Beijing and measured 24 h personal exposures to fine particulate matter (PM2.5) and black carbon (BC). The geometric mean personal exposure to PM2.5 and BC was 72 and 2.5 μg/m3, respectively. The variability in PM2.5 and BC exposures was greater within villages than between villages. Study participants who used traditional stoves as their dominant source of space heating were exposed to the highest levels of PM2.5 and BC. Wealthier households tended to burn more coal for space heating, whereas less wealthy households used more biomass. PM2.5 and BC exposures were almost uniformly distributed by socioeconomic status. Future work that combines these results with PM2.5 chemical composition analysis will shed light on whether air pollution source contributors (e.g., industrial, traffic, and household solid fuel burning) follow similar distributions.
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Affiliation(s)
- Xiaoying Li
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec H3A 1G1, Canada
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado 80521, United States
| | - Jill Baumgartner
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec H3A 1G1, Canada
- Institute for Health and Social Policy, McGill University, Montreal, Quebec H3A 1G1, Canada
| | - Christopher Barrington-Leigh
- Institute for Health and Social Policy, McGill University, Montreal, Quebec H3A 1G1, Canada
- Bieler School of Environment, McGill University, Montreal, Quebec H3A 2A7, Canada
| | - Sam Harper
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec H3A 1G1, Canada
| | - Brian Robinson
- Department of Geography, McGill University, Montreal, Quebec H3A 0B9, Canada
| | - Guofeng Shen
- Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Talia Sternbach
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec H3A 1G1, Canada
- Institute for Health and Social Policy, McGill University, Montreal, Quebec H3A 1G1, Canada
| | - Shu Tao
- Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Xiang Zhang
- Department of Geography, McGill University, Montreal, Quebec H3A 0B9, Canada
| | - Yuanxun Zhang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Ellison Carter
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado 80521, United States
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