1
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Zhang T, Lui KH, Ho SSH, Chen J, Chuang HC, Ho KF. Characterization of airborne endotoxin in personal exposure to fine particulate matter (PM 2.5) and bioreactivity for elderly residents in Hong Kong. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 280:116530. [PMID: 38833976 DOI: 10.1016/j.ecoenv.2024.116530] [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: 02/28/2024] [Revised: 05/17/2024] [Accepted: 05/29/2024] [Indexed: 06/06/2024]
Abstract
The heavy metals and bioreactivity properties of endotoxin in personal exposure to fine particulate matter (PM2.5) were characterized in the analysis. The average personal exposure concentrations to PM2.5 were ranged from 6.8 to 96.6 μg/m3. The mean personal PM2.5 concentrations in spring, summer, autumn, and winter were 32.1±15.8, 22.4±11.8, 35.3±11.9, and 50.2±19.9 μg/m3, respectively. There were 85 % of study targets exceeded the World Health Organization (WHO) PM2.5 threshold (24 hours). The mean endotoxin concentrations ranged from 1.086 ± 0.384-1.912 ± 0.419 EU/m3, with a geometric mean (GM) varied from 1.034 to 1.869. The concentration of iron (Fe) (0.008-1.16 μg/m3) was one of the most abundant transition metals in the samples that could affect endotoxin toxicity under Toll-Like Receptor 4 (TLR4) stimulation. In summer, the interleukin 6 (IL-6) levels showed statistically significant differences compared to other seasons. Spearman correlation analysis showed endotoxin concentrations were positively correlated with chromium (Cr) and nickel (Ni), implying possible roles as nutrients and further transport via adhering to the surface of fine inorganic particles. Mixed-effects model analysis demonstrated that Tumor necrosis factor-α (TNF-α) production was positively associated with endotoxin concentration and Cr as a combined exposure factor. The Cr contained the highest combined effect (0.205-0.262), suggesting that Cr can potentially exacerbate the effect of endotoxin on inflammation and oxidative stress. The findings will be useful for practical policies for mitigating air pollution to protect the public health of the citizens.
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Affiliation(s)
- Tianhang Zhang
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Ka Hei Lui
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Steven Sai Hang Ho
- Division of Atmosphere Sciences, Desert Research Institute, Reno, NV 89512, United States; Hong Kong Premium Services and Research Laboratory, Cheung Sha Wan, Kowloon, Hong Kong, China
| | - Jiayao Chen
- School of Architecture, Planning and Environmental Policy, University College Dublin, Dublin, Ireland
| | - Hsiao-Chi Chuang
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Kin Fai Ho
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
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2
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Campbell D, Johnson M, Piedrahita R, Pillarisetti A, Waller LA, Kearns KA, Kremer J, Mollinedo E, Sarnat JA, Clark ML, Underhill LJ, McCracken JP, Diaz-Artiga A, Steenland K, Rosa G, Kirby MA, Balakrishnan K, Sambandam S, Mukhopadhyay K, Sendhil S, Natarajan A, Ndagijimana F, Dusabimana E, Thompson LM, Checkley W, Nicolaou L, Hartinger S, Peel JL, Clasen TF, Naeher LP. Factors Determining Black Carbon Exposures among Pregnant Women Enrolled in the HAPIN Trial. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:10162-10174. [PMID: 38810212 PMCID: PMC11171448 DOI: 10.1021/acs.est.3c09991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 05/31/2024]
Abstract
Residential biomass burning is an important source of black carbon (BC) exposure among rural communities in low- and middle-income countries. We collected 7165 personal BC samples and individual/household level information from 3103 pregnant women enrolled in the Household Air Pollution Intervention Network trial. Women in the intervention arm received free liquefied petroleum gas stoves and fuel throughout pregnancy; women in the control arm continued the use of biomass stoves. Median (IQR) postintervention BC exposures were 9.6 μg/m3 (5.2-14.0) for controls and 2.8 μg/m3 (1.6-4.8) for the intervention group. Using mixed models, we characterized predictors of BC exposure and assessed how exposure contrasts differed between arms by select predictors. Primary stove type was the strongest predictor (R2 = 0.42); the models including kerosene use, kitchen location, education, occupation, or stove use hours also provided additional explanatory power from the base model adjusted only for the study site. Our full, trial-wide, model explained 48% of the variation in BC exposures. We found evidence that the BC exposure contrast between arms differed by study site, adherence to the assigned study stove, and whether the participant cooked. Our findings highlight factors that may be addressed before and during studies to implement more impactful cookstove intervention trials.
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Affiliation(s)
- Devan
A. Campbell
- University
of Georgia, Athens, Georgia 30602, United States
- Benchmark
Risk Group, Chicago, Illinois 60601, United States
| | - Michael Johnson
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Ricardo Piedrahita
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Ajay Pillarisetti
- Environmental
Health Sciences, School of Public Health, University of California, Berkeley, California 94720, United States
| | - Lance A. Waller
- Department
of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 80521, United States
| | - Katherine A. Kearns
- University
of Georgia, Athens, Georgia 30602, United States
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Jacob Kremer
- University
of Georgia, Athens, Georgia 30602, United States
| | | | - Jeremy A. Sarnat
- Department
of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 80521, United States
| | - Maggie L. Clark
- Department
of Environmental and Radiological Health Sciences, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Lindsay J. Underhill
- Washington
University School of Medicine, St. Louis, Missouri 63110, United States
| | - John P. McCracken
- University
of Georgia, Athens, Georgia 30602, United States
- Center
for Health Studies, Universidad del Valle
de Guatemala, Guatemala City, Guatemala 01015, United States
| | - Anaité Diaz-Artiga
- Center
for Health Studies, Universidad del Valle
de Guatemala, Guatemala City, Guatemala 01015, United States
| | - Kyle Steenland
- Gangarosa
Department of Environmental Health, Rollins
School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Ghislaine Rosa
- Department
of Public Health, Policy and Systems, University
of Liverpool, Liverpool L69 3GF, U.K.
| | - Miles A. Kirby
- Department
of Global Health and Population, Harvard
T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Kalpana Balakrishnan
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | - Sankar Sambandam
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | - Krishnendu Mukhopadhyay
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | - Saritha Sendhil
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | - Amudha Natarajan
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | | | | | - Lisa M. Thompson
- Gangarosa
Department of Environmental Health, Rollins
School of Public Health, Emory University, Atlanta, Georgia 30322, United States
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia 30322, United States
| | - William Checkley
- Center for
Global Non-Communicable Diseases, Johns
Hopkins University, Baltimore, Maryland 21205, United States
- Division
of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Laura Nicolaou
- Center for
Global Non-Communicable Diseases, Johns
Hopkins University, Baltimore, Maryland 21205, United States
- Division
of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Stella Hartinger
- Center for
Global Non-Communicable Diseases, Johns
Hopkins University, Baltimore, Maryland 21205, United States
- Division
of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Jennifer L. Peel
- Department
of Environmental and Radiological Health Sciences, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Thomas F. Clasen
- Gangarosa
Department of Environmental Health, Rollins
School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Luke P. Naeher
- University
of Georgia, Athens, Georgia 30602, United States
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3
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Zhang X, Zhang H, Wang Y, Bai P, Zhang L, Wei Y, Tang N. Characteristics and determinants of personal exposure to typical air pollutants: A pilot study in Beijing and Baoding, China. ENVIRONMENTAL RESEARCH 2023; 218:114976. [PMID: 36460073 DOI: 10.1016/j.envres.2022.114976] [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: 09/19/2022] [Revised: 11/14/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Personal exposure to fine particulate matter (PM2.5), nitrogen oxides (NOx, NO2 and NO), ozone (O3) and sulfur dioxide (SO2) was repeatedly measured among fourteen office workers in Beijing and Baoding, China in summer, autumn and winter of 2019. Time-activity patterns were simultaneously recorded. Determinants of personal air pollution exposure were investigated for each pollutant via a linear mixed effect model. The personal concentrations of PM2.5, NO2, NO and O3 were higher in autumn and winter than those in summer. A decreasing trend was found in the personal PM2.5 level for a typical indoor population in Beijing, indicating that particulate pollution was effectively controlled in Beijing and its surrounding area. The personal levels of PM2.5, NO2, and O3 were weakly correlated with those monitored at ambient stations and were lower than the respective ambient levels except for PM2.5 in summer and NO2 in winter. This pilot study showed that the indoor air environment, ambient pollution, traffic-related variables and temperature were significant exposure sources for office workers. Our study highlighted the significance of controlling traffic emissions and improving the workplace air quality to protect the health of office workers. More importantly, we demonstrated the feasibility of model development for personal air pollution exposure prediction.
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Affiliation(s)
- Xuan Zhang
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Hao Zhang
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Yan Wang
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Pengchu Bai
- Graduate School of Medical Sciences, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Lulu Zhang
- School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, 430068, China; Institute of Nature and Environmental Technology, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Center for Global Health, School of Public Health, Nanjing Medical University, China.
| | - Ning Tang
- Institute of Nature and Environmental Technology, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan; Institute of Medical, Pharmaceutical and Health Science, Kanazawa University, Kakuma-machi, Kanazawa, 920-1192, Japan.
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4
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Li N, Guo X, Wu Y, Yau V, Song Q, Su W, Wang H, Liang Q, Liang M, Ding X, Lowe S, Li Y, Bentley R, King B, Zhou Q, Qu G, Sun C. Association between household air pollution and all-cause and cause-specific mortality: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:5312-5346. [PMID: 36409413 DOI: 10.1007/s11356-022-24222-y] [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: 09/19/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
Recently, a growing number of epidemiological studies have examined the relationship between household air pollution (HAP) and all-cause and cause-specific mortality. While the results were not entirely consistent, the current study followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol to conduct a comprehensive review and meta-analysis. Data sources were PubMed, Web of Science, Embase, and Cochrane Library for studies published up to 12 May 2022. The pooled relative risks (RRs) with 95% confidence intervals (CI) were used to estimate the effect of household air pollution on all-cause and cause-special mortality. Then I square value (I2) was used to assess heterogeneity, and random-effects model was used as the pooling method. Seventeen studies were included in the quantitative analysis. Our results showed a significant association between household air pollution and increased risks of all-cause mortality (RR = 1.12, 95% CI = 1.06-1.19) and cardiovascular disease mortality (RR = 1.13, 95% CI = 1.04-1.24). Similarly, the associations between household air pollution and mortality from other specific causes (respiratory, ischemic heart disease, stroke, and total cancer) were positive, although they were not statistically significant. The study suggests that exposure to household air pollution increases the risk of all-cause mortality and cardiovascular disease mortality. In addition, our results found a trend of increased mortality from the respiratory system, ischemic heart disease, stroke, and total cancer, with household air pollution.
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Affiliation(s)
- Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yuyan Wu
- The First People's Hospital of Hefei, 390 N. Huaihe Road, Luyang District, Hefei, 230061, China
| | - Vicky Yau
- Division of Oral and Maxillofacial Surgery, Columbia University Irving Medical Center, 622W 168Th St, New York, NY, 10032, USA
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Provincial Children's Hospital/Children's Hospital of Anhui Medical University, Hefei, 230051, Anhui, People's Republic of China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Yaru Li
- Internal Medicine, Swedish Hospital, 5140 N California Ave, Chicago, IL, 60625, USA
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Bethany King
- Internal Medicine, MercyOne Des Moines Medical Center, 1111 6Th Avenue, Des Moines, IA, 50314, USA
| | - Qin Zhou
- Radiation Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Guangbo Qu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA.
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5
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Li N, Su W, Wang H, Guo X, Liang Q, Song Q, Liang M, Ding X, Sun C, Lowe S, Bentley R, Zhou Z, Li Y, Sun Y. Association between solid fuel combustion and diabetes mellitus: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:78165-78177. [PMID: 36181591 DOI: 10.1007/s11356-022-23299-9] [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: 03/31/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
In recent years, many epidemiological studies have investigated the relationship between solid fuel combustion and diabetes mellitus (DM). This meta-analysis was performed to explore the potential association between solid fuel combustion and DM. A comprehensive literature search was conducted to identify all relevant studies published prior to January 14, 2022. The pooled odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the effect of solid fuel combustion on DM. The I square value (I2) was used to assess heterogeneity. Due to the heterogeneity of the studies (I2 = 66.70%), a random-effect model was used as the pooling method. A total of 9 articles (10 available datasets) were used for this systematic review and meta-analysis, involving 45,620 study subjects. The results of the meta-analysis showed a statistically positive relationship between household solid fuel combustion and the risk of DM (OR = 1.46, 95% CI = 1.09-1.97). Subgroup analysis based on fuel type revealed a statistically significant association in the mixed solid fuel group (OR = 2.03, 95% CI = 1.59-2.59), but not in the single biomass group (OR = 1.04, 95% CI = 0.73-1.49). This meta-analysis suggests that solid fuel combustion may be associated with an increased risk of DM.
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Affiliation(s)
- Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Anhui Provincial Children's Hospital/Children's Hospital of Anhui Medical University, Hefei, 230051, Anhui, People's Republic of China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Chenyu Sun
- Internal Medicine, AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, TAS, 17 Liverpool Street, Hobart, 7000, Australia
| | - Yaru Li
- College of Osteopathic Medicine, Des Moines University, 3200 Grand Ave, Des Moines, IA, 50312, USA
- Internal Medicine, Swedish Hospital, 5140 N California Ave, Chicago, IL, 60625, USA
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
- Chaohu Hospital, Anhui Medical University, Hefei, 238000, Anhui, People's Republic of China.
- Center for Evidence-Based Practice, Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China.
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6
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Witinok-Huber R, Clark ML, Volckens J, Young BN, Benka-Coker ML, Walker E, Peel JL, Quinn C, Keller JP. Effects of household and participant characteristics on personal exposure and kitchen concentration of fine particulate matter and black carbon in rural Honduras. ENVIRONMENTAL RESEARCH 2022; 214:113869. [PMID: 35820656 PMCID: PMC10696621 DOI: 10.1016/j.envres.2022.113869] [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] [Received: 02/08/2022] [Revised: 06/10/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
Traditional cooking with solid fuels (biomass, animal dung, charcoals, coal) creates household air pollution that leads to millions of premature deaths and disability worldwide each year. Exposure to household air pollution is highest in low- and middle-income countries. Using data from a stepped-wedge randomized controlled trial of a cookstove intervention among 230 households in Honduras, we analyzed the impact of household and personal variables on repeated 24-h measurements of fine particulate matter (PM2.5) and black carbon (BC) exposure. Six measurements were collected approximately six-months apart over the course of the three-year study. Multivariable mixed models explained 37% of variation in personal PM2.5 exposure and 49% of variation in kitchen PM2.5 concentrations. Additionally, multivariable models explained 37% and 47% of variation in personal and kitchen BC concentrations, respectively. Stove type, season, presence of electricity, primary stove location, kitchen enclosure type, stove use time, and presence of kerosene for lighting were all associated with differences in geometric mean exposures. Stove type explained the most variability of the included variables. In future studies of household air pollution, tracking the cooking behaviors and daily activities of participants, including outdoor exposures, may explain exposure variation beyond the household and personal variables considered here.
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Affiliation(s)
- Rebecca Witinok-Huber
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Bonnie N Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | | | - Ethan Walker
- School of Public and Community Health Sciences, University of Montana, Missoula, MT, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Casey Quinn
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Joshua P Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA.
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7
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Lim S, Bassey E, Bos B, Makacha L, Varaden D, Arku RE, Baumgartner J, Brauer M, Ezzati M, Kelly FJ, Barratt B. Comparing human exposure to fine particulate matter in low and high-income countries: A systematic review of studies measuring personal PM 2.5 exposure. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 833:155207. [PMID: 35421472 PMCID: PMC7615091 DOI: 10.1016/j.scitotenv.2022.155207] [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] [Received: 01/22/2022] [Revised: 04/02/2022] [Accepted: 04/08/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Due to the adverse health effects of air pollution, researchers have advocated for personal exposure measurements whereby individuals carry portable monitors in order to better characterise and understand the sources of people's pollution exposure. OBJECTIVES The aim of this systematic review is to assess the differences in the magnitude and sources of personal PM2.5 exposures experienced between countries at contrasting levels of income. METHODS This review summarised studies that measured participants personal exposure by carrying a PM2.5 monitor throughout their typical day. Personal PM2.5 exposures were summarised to indicate the distribution of exposures measured within each country income category (based on low (LIC), lower-middle (LMIC), upper-middle (UMIC), and high (HIC) income countries) and between different groups (i.e. gender, age, urban or rural residents). RESULTS From the 2259 search results, there were 140 studies that met our criteria. Overall, personal PM2.5 exposures in HICs were lower compared to other countries, with UMICs exposures being slightly lower than exposures measured in LMICs or LICs. 34% of measured groups in HICs reported below the ambient World Health Organisation 24-h PM2.5 guideline of 15 μg/m3, compared to only 1% of UMICs and 0% of LMICs and LICs. There was no difference between rural and urban participant exposures in HICs, but there were noticeably higher exposures recorded in rural areas compared to urban areas in non-HICs, due to significant household sources of PM2.5 in rural locations. In HICs, studies reported that secondhand smoke, ambient pollution infiltrating indoors, and traffic emissions were the dominant contributors to personal exposures. While, in non-HICs, household cooking and heating with biomass and coal were reported as the most important sources. CONCLUSION This review revealed a growing literature of personal PM2.5 exposure studies, which highlighted a large variability in exposures recorded and severe inequalities in geographical and social population subgroups.
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Affiliation(s)
- Shanon Lim
- MRC Centre for Environment and Health, Imperial College London, UK.
| | - Eridiong Bassey
- MRC Centre for Environment and Health, Imperial College London, UK
| | - Brendan Bos
- MRC Centre for Environment and Health, Imperial College London, UK
| | - Liberty Makacha
- MRC Centre for Environment and Health, Imperial College London, UK; Place Alert Labs, Department of Surveying and Geomatics, Faculty of Science and Technology, Midlands State University, Zimbabwe; Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, UK
| | - Diana Varaden
- MRC Centre for Environment and Health, Imperial College London, UK; NIHR-HPRU Environmental Exposures and Health, School of Public Health, Imperial College London, UK
| | - Raphael E Arku
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, USA
| | - Jill Baumgartner
- Institute for Health and Social Policy, and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - Michael Brauer
- School of Population and Public Health, The University of British Columbia, Vancouver, Canada; Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Majid Ezzati
- MRC Centre for Environment and Health, Imperial College London, UK; Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, UK; Regional Institute for Population Studies, University of Ghana, Legon, Ghana
| | - Frank J Kelly
- MRC Centre for Environment and Health, Imperial College London, UK; NIHR-HPRU Environmental Exposures and Health, School of Public Health, Imperial College London, UK
| | - Benjamin Barratt
- MRC Centre for Environment and Health, Imperial College London, UK; NIHR-HPRU Environmental Exposures and Health, School of Public Health, Imperial College London, UK
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8
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Li X, Baumgartner J, Harper S, Zhang X, Sternbach T, Barrington‐Leigh C, Brehmer C, Robinson B, Shen G, Zhang Y, Tao S, Carter E. Field measurements of indoor and community air quality in rural Beijing before, during, and after the COVID-19 lockdown. INDOOR AIR 2022; 32:e13095. [PMID: 36040277 PMCID: PMC9538603 DOI: 10.1111/ina.13095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 07/15/2022] [Accepted: 07/31/2022] [Indexed: 06/15/2023]
Abstract
The coronavirus (COVID-19) lockdown in China is thought to have reduced air pollution emissions due to reduced human mobility and economic activities. Few studies have assessed the impacts of COVID-19 on community and indoor air quality in environments with diverse socioeconomic and household energy use patterns. The main goal of this study was to evaluate whether indoor and community air pollution differed before, during, and after the COVID-19 lockdown in homes with different energy use patterns. Using calibrated real-time PM2.5 sensors, we measured indoor and community air quality in 147 homes from 30 villages in Beijing over 4 months including periods before, during, and after the COVID-19 lockdown. Community pollution was higher during the lockdown (61 ± 47 μg/m3 ) compared with before (45 ± 35 μg/m3 , p < 0.001) and after (47 ± 37 μg/m3 , p < 0.001) the lockdown. However, we did not observe significantly increased indoor PM2.5 during the COVID-19 lockdown. Indoor-generated PM2.5 in homes using clean energy for heating without smokers was the lowest compared with those using solid fuel with/without smokers, implying air pollutant emissions are reduced in homes using clean energy. Indoor air quality may not have been impacted by the COVID-19 lockdown in rural settings in China and appeared to be more impacted by the household energy choice and indoor smoking than the COVID-19 lockdown. As clean energy transitions occurred in rural households in northern China, our work highlights the importance of understanding multiple possible indoor sources to interpret the impacts of interventions, intended or otherwise.
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Affiliation(s)
- Xiaoying Li
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQuebecCanada
- Department of Civil and Environmental EngineeringColorado State UniversityFort CollinsColoradoUSA
| | - Jill Baumgartner
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQuebecCanada
- Institute for Health and Social PolicyMcGill UniversityMontrealQuebecCanada
| | - Sam Harper
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQuebecCanada
- Institute for Health and Social PolicyMcGill UniversityMontrealQuebecCanada
| | - Xiang Zhang
- Department of GeographyMcGill UniversityMontrealQuebecCanada
| | - Talia Sternbach
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQuebecCanada
- Institute for Health and Social PolicyMcGill UniversityMontrealQuebecCanada
| | - Christopher Barrington‐Leigh
- Institute for Health and Social PolicyMcGill UniversityMontrealQuebecCanada
- Bieler School of EnvironmentMcGill UniversityMontrealQuebecCanada
| | - Collin Brehmer
- Department of Civil and Environmental EngineeringColorado State UniversityFort CollinsColoradoUSA
| | - Brian Robinson
- Department of GeographyMcGill UniversityMontrealQuebecCanada
| | - Guofeng Shen
- Laboratory for Earth Surface Processes, Sino‐French Institute for Earth System Science, College of Urban and Environmental SciencesPeking UniversityBeijingChina
| | - Yuanxun Zhang
- College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijingChina
- CAS Center for Excellence in Regional Atmospheric EnvironmentChinese Academy of SciencesXiamenChina
| | - Shu Tao
- Laboratory for Earth Surface Processes, Sino‐French Institute for Earth System Science, College of Urban and Environmental SciencesPeking UniversityBeijingChina
| | - Ellison Carter
- Department of Civil and Environmental EngineeringColorado State UniversityFort CollinsColoradoUSA
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9
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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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10
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Wang Y, Shupler M, Birch A, Chu YL, Jeronimo M, Rangarajan S, Mustaha M, Heenan L, Seron P, Lanas F, Salazar L, Saavedra N, Oliveros MJ, Lopez-Jaramillo P, Camacho PA, Otero J, Perez-Mayorga M, Yeates K, West N, Ncube T, Ncube B, Chifamba J, Yusuf R, Khan A, Liu Z, Bo H, Wei L, Tse LA, Mohan D, Kumar P, Gupta R, Mohan I, Jayachitra KG, Mony PK, Rammohan K, Nair S, Lakshmi PVM, Sagar V, Khawaja R, Iqbal R, Kazmi K, Yusuf S, Brauer M, Hystad P. Measuring and predicting personal and household Black Carbon levels from 88 communities in eight countries. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151849. [PMID: 34822894 DOI: 10.1016/j.scitotenv.2021.151849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/16/2021] [Accepted: 11/17/2021] [Indexed: 06/13/2023]
Abstract
Black Carbon (BC) is an important component of household air pollution (HAP) in low- and middle- income countries (LMICs), but levels and drivers of exposure are poorly understood. As part of the Prospective Urban and Rural Epidemiological (PURE) study, we analyzed 48-hour BC measurements for 1187 individual and 2242 household samples from 88 communities in 8 LMICs (Bangladesh, Chile, China, Colombia, India, Pakistan, Tanzania, and Zimbabwe). Light absorbance (10-5 m-1) of collected PM2.5 filters, a proxy for BC concentrations, was calculated via an image-based reflectance method. Surveys of household/personal characteristics and behaviors were collected after monitoring. The geometric mean (GM) of personal and household BC measures was 2.4 (3.3) and 3.5 (3.9)·10-5 m-1, respectively. The correlation between BC and PM2.5 was r = 0.76 for personal and r = 0.82 for household measures. A gradient of increasing BC concentrations was observed for cooking fuels: BC increased 53% (95%CI: 30, 79) for coal, 142% (95%CI: 117, 169) for wood, and 190% (95%CI: 149, 238) for other biomass, compared to gas. Each hour of cooking was associated with an increase in household (5%, 95%CI: 3, 7) and personal (5%, 95%CI: 2, 8) BC; having a window in the kitchen was associated with a decrease in household (-38%, 95%CI: -45, -30) and personal (-31%, 95%CI: -44, -15) BC; and cooking on a mud stove, compared to a clean stove, was associated with an increase in household (125%, 95%CI: 96, 160) and personal (117%, 95%CI: 71, 117) BC. Male participants only had slightly lower personal BC (-0.6%, 95%CI: -1, 0.0) compared to females. In multivariate models, we were able to explain 46-60% of household BC variation and 33-54% of personal BC variation. These data and models provide new information on exposure to BC in LMICs, which can be incorporated into future exposure assessments, health research, and policy surrounding HAP and BC.
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Affiliation(s)
- Ying Wang
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Matthew Shupler
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, United Kingdom
| | - Aaron Birch
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Yen Li Chu
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Matthew Jeronimo
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sumathy Rangarajan
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Maha Mustaha
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Laura Heenan
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | | | | | | | | | | | | | - Paul A Camacho
- Fundación Oftalmológica de Santander (FOSCAL), Floridablanca, Colombia
| | - Johnna Otero
- Fundación Oftalmológica de Santander (FOSCAL), Floridablanca, Colombia
| | - Maritza Perez-Mayorga
- Facultad de Medicina Universidad Militar Nueva Granada and Clinica de Marly, Bogota, Colombia
| | - Karen Yeates
- Pamoja Tunaweza Research Centre, Moshi, Tanzania; Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Nicola West
- Pamoja Tunaweza Research Centre, Moshi, Tanzania
| | - Tatenda Ncube
- Department of Biomedical Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Brian Ncube
- Department of Biomedical Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Jephat Chifamba
- Department of Biomedical Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Rita Yusuf
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | - Afreen Khan
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | - Zhiguang Liu
- Beijing An Zhen Hospital of the Capital University of Medical Sciences, China
| | - Hu Bo
- Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, China
| | - Li Wei
- Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, China
| | - L A Tse
- Jockey Club School of Public health and Primary Care, the Chinese University of Hong Kong, HKSAR, China
| | - Deepa Mohan
- Madras Diabetes Research Foundation, Chennai, India
| | | | - Rajeev Gupta
- Eternal Heart Care Centre & Research Institute, Jaipur, India
| | - Indu Mohan
- Mahatma Gandhi University of Medical Sciences and Technology, Jaipur, India
| | - K G Jayachitra
- St. John's Medical College & Research Institute, Bangalore, India
| | - Prem K Mony
- St. John's Medical College & Research Institute, Bangalore, India
| | - Kamala Rammohan
- Health Action By People, Government Medical College, Trivandrum, India
| | - Sanjeev Nair
- Health Action By People, Government Medical College, Trivandrum, India
| | - P V M Lakshmi
- Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Vivek Sagar
- Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Rehman Khawaja
- Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan
| | - Romaina Iqbal
- Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan
| | - Khawar Kazmi
- Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan
| | - Salim Yusuf
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Michael Brauer
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States.
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11
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Tseng TWJ, Carter E, Yan L, Chan Q, Elliott P, Ezzati M, Kelly F, Schauer JJ, Wu Y, Yang X, Zhao L, Baumgartner J. Household air pollution from solid fuel use as a dose-dependent risk factor for cognitive impairment in northern China. Sci Rep 2022; 12:6187. [PMID: 35418188 PMCID: PMC9008006 DOI: 10.1038/s41598-022-10074-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 03/15/2022] [Indexed: 11/09/2022] Open
Abstract
The relationship between exposure to household air pollution (HAP) from solid fuel use and cognition remains poorly understood. Among 401 older adults in peri-urban northern China enrolled in the INTERMAP-China Prospective Study, we estimated the associations between exposure to HAP and z-standardized domain-specific and overall cognitive scores from the Montreal Cognitive Assessment. Interquartile range increases in exposures to fine particulate matter (53.2-µg/m3) and black carbon (0.9-µg/m3) were linearly associated with lower overall cognition [- 0.13 (95% confidence interval: - 0.22, - 0.04) and - 0.10 (- 0.19, - 0.01), respectively]. Using solid fuel indoors and greater intensity of its use were also associated with lower overall cognition (range of point estimates: - 0.13 to - 0.03), though confidence intervals included zero. Among individual cognitive domains, attention had the largest associations with most exposure measures. Our findings indicate that exposure to HAP may be a dose-dependent risk factor for cognitive impairment. As exposure to HAP remains pervasive in China and worldwide, reducing exposure through the promotion of less-polluting stoves and fuels may be a population-wide intervention strategy to lessen the burden of cognitive impairment.
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Affiliation(s)
- Tzu-Wei Joy Tseng
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1130 Pine Ave W, Montreal, QC, H3A 1A3, Canada
| | - Ellison Carter
- Institute on the Environment, University of Minnesota, Saint Paul, MN, USA
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA
| | - Li Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Environmental Research Group, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Queenie Chan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Environmental Research Group, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- NIHR Imperial College London Biomedical Research Centre, London, UK
| | - Majid Ezzati
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Frank Kelly
- Environmental Research Group, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - James J Schauer
- Department of Civil and Environmental Engineering, University of Wisconsin, Madison, USA
- Environmental Chemistry & Technology Program, University of Wisconsin, Madison, USA
| | - Yangfeng Wu
- Peking University Clinical Research Institute, Beijing, China
| | - Xudong Yang
- Department of Building Science, School of Architecture, Tsinghua University, Beijing, China
| | - Liancheng Zhao
- National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Jill Baumgartner
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1130 Pine Ave W, Montreal, QC, H3A 1A3, Canada.
- Institute for Health and Social Policy, McGill University, Montreal, Canada.
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12
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Chen T, Zou C, Yuan Y, Pan J, Zhang B, Qiao L, Li Y, Qian JY, Guo Q, Yuan Y, Ding C. Indoor air pollution from solid fuel on children pneumonia in low- and middle-income countries: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:24574-24588. [PMID: 35066845 DOI: 10.1007/s11356-021-18293-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 12/19/2021] [Indexed: 06/14/2023]
Abstract
An updated systematic review was conducted to assessing on the association between indoor air pollution caused by household energy consumption and childhood pneumonia in low- and middle-income countries. We performed a meta-analysis from the electronic databases of PubMed, Cochrane library, Web of Science, EMBASE. Studies were selected when they reported childhood pneumonia or ALRI in relation to indoor air pollution resulted from solid fuel. Studies must provide results on exposure prevalence of children aged below 5 years from Asia or Africa. We devoted ourselves to identifying randomized controlled experiments and observational epidemiological researches, which revealed the relation between household usage of solid fuel and childhood pneumonia. Among 1954 articles, 276 were reviewed thoroughly and 16 conduced to such a meta-analysis. It was found that there is a significant relationship between the solid fuel combustion and increasing risk of childhood pneumonia (OR = 1.66, 95%CI 1.36-2.02). The summary odds ratios from biomass use and mixed fuel use were, respectively, 1.86 (95%CI 1.15-3.02) and 1.58 (95%CI 1.38-1.81), with substantial between study heterogeneity (I2 = 87.2% and 29.2%, respectively). According to the subgroup analysis along with the meta-regression analysis, the risk of using solid fuel in Asian regions is higher than that in African regions. Studies based on non-hospital participates (I2 = 49.5%) may also a source of heterogeneity. We found that indoor air pollution generated by the usage of solid fuel might be a significant risk factor for pneumonia in children and suggested improving the indoor air quality by promoting cleaner fuel will be important in undeveloped countries.
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Affiliation(s)
- Tianming Chen
- School of Environmental Science and Engineering, Yancheng Institute of Technology, P.O.Box NO.211 Jianjun Road, Yancheng, 224051, Jiangsu Province, China
- Jiangsu Province Engineering Research Center of Intelligent Environmental Protection Equipment, Yancheng, 224051, Jiangsu Province, China
| | - Chao Zou
- School of Environmental Science and Engineering, Yancheng Institute of Technology, P.O.Box NO.211 Jianjun Road, Yancheng, 224051, Jiangsu Province, China
- Jiangsu Province Engineering Research Center of Intelligent Environmental Protection Equipment, Yancheng, 224051, Jiangsu Province, China
| | - Yang Yuan
- Yancheng Hospital of Traditional Chinese Medicine, Yancheng, 224001, Jiangsu, China
| | - Jingjing Pan
- School of Environmental Science and Engineering, Yancheng Institute of Technology, P.O.Box NO.211 Jianjun Road, Yancheng, 224051, Jiangsu Province, China
- Jiangsu Province Engineering Research Center of Intelligent Environmental Protection Equipment, Yancheng, 224051, Jiangsu Province, China
| | - Baoping Zhang
- School of Environmental Science and Engineering, Yancheng Institute of Technology, P.O.Box NO.211 Jianjun Road, Yancheng, 224051, Jiangsu Province, China
| | - Liang Qiao
- School of Environmental Science and Engineering, Yancheng Institute of Technology, P.O.Box NO.211 Jianjun Road, Yancheng, 224051, Jiangsu Province, China
- Jiangsu Province Engineering Research Center of Intelligent Environmental Protection Equipment, Yancheng, 224051, Jiangsu Province, China
| | - Yanping Li
- Department of Pharmacy, Jiangsu Vocational College of Medicine, Jiangsu, 224005, China
| | - Jia-Yan Qian
- Nantong Production Quality Supervising & Inspection Institute, Jiangsu, 226005, China
| | - Qingyuan Guo
- School of Environmental Science and Engineering, Yancheng Institute of Technology, P.O.Box NO.211 Jianjun Road, Yancheng, 224051, Jiangsu Province, China
- Jiangsu Province Engineering Research Center of Intelligent Environmental Protection Equipment, Yancheng, 224051, Jiangsu Province, China
| | - Ye Yuan
- School of Environmental Science and Engineering, Yancheng Institute of Technology, P.O.Box NO.211 Jianjun Road, Yancheng, 224051, Jiangsu Province, China.
- Jiangsu Province Engineering Research Center of Intelligent Environmental Protection Equipment, Yancheng, 224051, Jiangsu Province, China.
| | - Cheng Ding
- School of Environmental Science and Engineering, Yancheng Institute of Technology, P.O.Box NO.211 Jianjun Road, Yancheng, 224051, Jiangsu Province, China.
- Jiangsu Province Engineering Research Center of Intelligent Environmental Protection Equipment, Yancheng, 224051, Jiangsu Province, China.
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13
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Kanagasabai T, Xie W, Yan L, Zhao L, Carter E, Guo D, Daskalopoulou SS, Chan Q, Elliott P, Ezzati M, Yang X, Xie G, Kelly F, Wu Y, Baumgartner J. Household Air Pollution and Blood Pressure, Vascular Damage, and Subclinical Indicators of Cardiovascular Disease in Older Chinese Adults. Am J Hypertens 2022; 35:121-131. [PMID: 34505873 PMCID: PMC8807175 DOI: 10.1093/ajh/hpab141] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/09/2021] [Accepted: 09/09/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Limited data suggest that household air pollution from cooking and heating with solid fuel (i.e., coal and biomass) stoves may contribute to the development of hypertension and vascular damage. METHODS Using mixed-effects regression models, we investigated the associations of household air pollution with blood pressure (BP) and vascular function in 753 adults (ages 40-79 years) from 3 diverse provinces in China. We conducted repeated measures of participants' household fuel use, personal exposure to fine particulate air pollution (PM2.5), BP, brachial-femoral pulse wave velocity (bfPWV), and augmentation index. Ultrasound images of the carotid arteries were obtained to assess intima-media thickness (CIMT) and plaques. Covariate information on sociodemographics, health behaviors, 24-h urinary sodium, and blood lipids was also obtained. RESULTS Average estimated yearly personal exposure to PM2.5 was 97.5 µg/m3 (SD: 79.2; range: 3.5-1241), and 65% of participants cooked with solid fuel. In multivariable models, current solid fuel use was associated with higher systolic (2.4 mm Hg, 95% CI: -0.4, 4.9) and diastolic BP (1.4 mm Hg, 95% CI: -0.1, 3.0) and greater total area of plaques (1.7 mm2, 95% CI: -6.5, 9.8) compared with exclusive use of electricity or gas stoves. A 1 - ln(µg/m3) increase in PM2.5 exposure was associated with higher systolic (1.5 mm Hg, 95% CI: 0.2, 2.7) and diastolic BP (1.0 mm Hg, 95% CI: 0.4, 1.7) and with greater CIMT (0.02 mm, 95% CI: 0.00, 0.04) and total area of plaques (4.7 mm2, 95% CI: -2.0, 11.5). We did not find associations with arterial stiffness, except for a lower bfPWV (-1.5 m/s, 95% CI: -3.0, -0.0) among users of solid fuel heaters. CONCLUSIONS These findings add to limited evidence that household air pollution is associated with higher BP and with greater CIMT and total plaque area.
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Affiliation(s)
- Thirumagal Kanagasabai
- Institute for Health and Social Policy, and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Li Yan
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Liancheng Zhao
- Fu Wai Hospital and Cardiovascular Institute, Chinese Academy of Medical Sciences, Beijing, China
| | - Ellison Carter
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado, USA
| | - Dongshuang Guo
- Department of Cardiology,Yuxian Hospital, Yuxian, Shanxi, China
| | - Stella S Daskalopoulou
- Department of Medicine, Division of Internal Medicine and Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada
| | - Queenie Chan
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Majid Ezzati
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Xudong Yang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Gaoqiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Frank Kelly
- Environmental Research Group, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Yangfeng Wu
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Jill Baumgartner
- Institute for Health and Social Policy, and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
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14
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Lai A, Lee M, Carter E, Chan Q, Elliott P, Ezzati M, Kelly F, Yan L, Wu Y, Yang X, Zhao L, Baumgartner J, Schauer JJ. Chemical Investigation of Household Solid Fuel Use and Outdoor Air Pollution Contributions to Personal PM 2.5 Exposures. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:15969-15979. [PMID: 34817986 PMCID: PMC8655976 DOI: 10.1021/acs.est.1c01368] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 11/10/2021] [Accepted: 11/10/2021] [Indexed: 06/13/2023]
Abstract
In communities with household solid fuel use, transitioning to clean stoves/fuels often results in only moderate reductions in fine particulate matter (PM2.5) exposures; the chemical composition of those exposures may help explain why. We collected personal exposure (men and women) and outdoor PM2.5 samples in villages in three Chinese provinces (Shanxi, Beijing, and Guangxi) and measured chemical components, including water-soluble organic carbon (WSOC), ions, elements, and organic tracers. Source contributions from chemical mass balance modeling (biomass burning, coal combustion, vehicles, dust, and secondary inorganic aerosol) were similar between outdoor and personal PM2.5 samples. Principal component analysis of organic and inorganic components identified analogous sources, including a regional ambient source. Chemical components of PM2.5 exposures did not differ significantly by gender. Participants using coal had higher personal/outdoor (P/O) ratios of coal combustion tracers (picene, sulfate, As, and Pb) than those not using coal, but no such trend was observed for biomass burning tracers (levoglucosan, K+, WSOC). Picene and most levoglucosan P/O ratios exceeded 1 even among participants not using coal and biomass, respectively, indicating substantial indirect exposure to solid fuel emissions from other homes. Contributions of community-level emissions to exposures suggest that meaningful exposure reductions will likely require extensive fuel use changes within communities.
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Affiliation(s)
- Alexandra Lai
- Environmental
Chemistry and Technology Program, University
of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Martha Lee
- Department
of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec H3A 1A3, Canada
| | - Ellison Carter
- Department
of Civil and Environmental Engineering, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Queenie Chan
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Paul Elliott
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Majid Ezzati
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Frank Kelly
- Department
of Analytical, Environmental, and Forensic Sciences, Kings College London, London SE1 9NH, U.K.
| | - Li Yan
- Department
of Analytical, Environmental, and Forensic Sciences, Kings College London, London SE1 9NH, U.K.
| | - Yangfeng Wu
- Clinical
Research Institute, Peking University, Beijing 100191, China
| | - Xudong Yang
- Department
of Building Science, Tsinghua University, Beijing 100084, China
| | - Liancheng Zhao
- Fuwai
Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical
College, Beijing 100037, China
| | - Jill Baumgartner
- Department
of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec H3A 1A3, Canada
- Institute
for Health and Social Policy, McGill University, Montreal, Quebec H3A 1A3, Canada
| | - James J. Schauer
- Environmental
Chemistry and Technology Program, University
of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Wisconsin
State Laboratory of Hygiene, University
of Wisconsin-Madison, Madison, Wisconsin 53718, United States
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15
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Lai A, Baumgartner J, Schauer JJ, Rudich Y, Pardo M. Cytotoxicity and chemical composition of women's personal PM 2.5 exposures from rural China. ENVIRONMENTAL SCIENCE: ATMOSPHERES 2021; 1:359-371. [PMID: 34604754 PMCID: PMC8459644 DOI: 10.1039/d1ea00022e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/27/2021] [Indexed: 12/24/2022]
Abstract
Personal exposure PM samples aid in determining the sources and chemical composition of real-world exposures, particularly in settings with household air pollution. However, their use in toxicological research is limited, despite uncertainty regarding health effects in these settings and evidence of differential toxicity among PM2.5 sources and components. This study used women's PM2.5 exposure samples collected using personal exposure monitoring in rural villages in three Chinese provinces (Beijing, Shanxi, and Sichuan) during summer and winter. Water-soluble organic carbon, ions, elements, and organic tracers (e.g. levoglucosan and polycyclic aromatic hydrocarbons [PAHs]) were quantified in water and organic PM2.5 extracts. Human lung epithelial cells (A549) were exposed to the extracts. Cell death, reactive oxygen species (ROS), and gene expression were measured. Biomass burning contributions were higher in Sichuan samples than in Beijing or Shanxi. Some PM characteristics (total PAHs and coal combustion source contributions) and biological effects of organic extract exposures (cell death, ROS, and cytokine gene expression) shared a common trend of higher levels and effects in winter than in summer for Shanxi and Beijing but no seasonal differences in Sichuan. Modulation of phase I/AhR-related genes (cyp1a1 and cyp1b1) and phase II/oxidative stress-related genes (HO-1, SOD1/2, NQO-1, and catalase) was either low or insignificant, without clear trends between samples. No significant cell death or ROS production was observed for water extract treatments among all sites and seasons, even at possible higher concentrations tested. These results support organic components, particularly PAHs, as essential drivers of biological effects, which is consistent with some other evidence from ambient PM2.5. Direct measurement with personal samplers captures the chemical complexity of PM2.5 exposures better than fixed monitors. To investigate biological effects, lung cells were exposed to extracts of exposure PM2.5 samples.![]()
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Affiliation(s)
- Alexandra Lai
- Department of Earth and Planetary Sciences, Weizmann Institute of Science Rehovot Israel
| | - Jill Baumgartner
- Institute for Health and Social Policy, Department of Epidemiology, Biostatistics, and Occupational Health, McGill University Montreal Quebec Canada
| | - James J Schauer
- Environmental Chemistry & Technology Program, University of Wisconsin-Madison Madison WI USA
| | - Yinon Rudich
- Department of Earth and Planetary Sciences, Weizmann Institute of Science Rehovot Israel
| | - Michal Pardo
- Department of Earth and Planetary Sciences, Weizmann Institute of Science Rehovot Israel
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16
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Du W, Wang J, Zhang S, Fu N, Yang F, Wang G, Wang Z, Mao K, Shen G, Qi M, Liu S, Wu C, Chen Y. Impacts of Chinese spring festival on household PM 2.5 pollution and blood pressure of rural residents. INDOOR AIR 2021; 31:1072-1083. [PMID: 33569809 DOI: 10.1111/ina.12795] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 12/22/2020] [Accepted: 12/28/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Household air pollution (HAP) from residential combustion considerably affects human health in rural China. Large-scale population migration and rural lifestyle changes during the Spring Festival are supposed to change the household air pollution and health risks; however, limited field study has determined its impacts on HAP and short-term health outcomes. METHODS A field study was conducted in rural areas of Southern China before and during the Spring Festival to explore the associations between HAP and blood pressure considering different factors such as cooking fuel, heating fuel, and smoking. Stationary real-time PM2.5 monitors were used to measure PM2.5 concentrations of the kitchen, living room, and yard of 156 randomly selected households. Personal exposure to PM2.5 was calculated based on the results of stationary samplers and corresponding time local residents spent in different microenvironments, and one adult resident was recruited of each family for the blood pressure measurement. RESULTS Both personal exposure to PM2.5 and blood pressures of local residents increased during Spring Festival compared to the days before the holiday. Based on generalized linear model coupled with dominance analysis approach, it was found that personal PM2.5 exposure was positively associated with the factors of population size and the types of cooking and heating fuels with the relative contributions of approximately 82%, and systolic blood pressure (SBP, 100-120 mmHg as normal range for adults) was positively and significantly associated with personal PM2.5 exposures with the relative contribution of 11%. CONCLUSION The findings in this study demonstrated that Spring Festival can give rise to increase of HAP and hypertension risks, also related to tremendous solid fuel use, suggesting further policy making on promoting cleaner energy in rural areas and more attention on large population migration during national holidays.
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Affiliation(s)
- Wei Du
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China
| | - Jinze Wang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China
| | - Shanshan Zhang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China
| | - Nan Fu
- School of Energy and Power Engineering, Nanjing University of Science & Technology, Nanjing, China
| | - Fengqin Yang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China
| | - Gehui Wang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China
- Institute of Eco-Chongming, Shanghai, China
| | - Zhenglu Wang
- College of Oceanography, Hohai University, Nanjing, Jiangsu, China
| | - Kang Mao
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China
| | - Guofeng Shen
- Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Meng Qi
- School of Public and International Affairs, Virginia Tech, Blacksburg, VA, USA
| | - Shijie Liu
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China
| | - Can Wu
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China
| | - Yuanchen Chen
- College of Environment, Research Centre of Environmental Science, Zhejiang University of Technology, Hangzhou, China
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17
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Huang Y, Wang J, Fu N, Zhang S, Du W, Chen Y, Wang Z, Qi M, Wang W, Zhong Q, Duan Y, Shen G, Tao S. Inhalation exposure to size-segregated fine particles and particulate PAHs for the population burning biomass fuels in the Eastern Tibetan Plateau area. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 211:111959. [PMID: 33486383 DOI: 10.1016/j.ecoenv.2021.111959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 01/10/2021] [Accepted: 01/17/2021] [Indexed: 06/12/2023]
Abstract
Indoor biomass burning produces large amounts of small particles and hazardous contaminants leading to severe air pollution and potentially high health risks associated with inhalation exposure. Personal samplers provide more accurate estimates of inhalation exposure. In this study, inhalation exposure to size-segregated particles and particulate polycyclic aromatic hydrocarbons (PAHs) for the biomass user was studied by deploying personal samplers. The study found that daily PM2.5 inhalation exposure level was as high as 121 ± 96 μg/m3, and over 84% was finer PM1.0. For PAHs, the exposure level was 113 ± 188 ng/m3, with over 77% in PM1.0. High molecular weight PAHs with larger toxic potentials enriched in smaller particles resulting in much high risks associated with PAHs inhalation exposure. Indoor exposure contributed to ~80% of the total inhalation exposure as a result of high indoor air pollution and longer residence spent indoor. The highest exposure risk was found for the male smoker who conducted cooking activities at home.
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Affiliation(s)
- Ye Huang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China; Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jinze Wang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Nan Fu
- School of Energy and Power Engineering, Nanjing University of Science & Technology, Nanjing 210094, China
| | - Shanshan Zhang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
| | - Wei Du
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China; Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
| | - YuanChen Chen
- College of Environment, Research Centre of Environmental Science, Zhejiang University of Technology, Hangzhou 310032, China
| | - Zhenglu Wang
- College of Oceanography, Hohai University, Nanjing, Jiangsu, China
| | - Meng Qi
- Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Wei Wang
- Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Qirui Zhong
- Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Yonghong Duan
- College of Resources and Environment, Shanxi Agricultural University, Taigu, Shanxi, 030801, China
| | - Guofeng Shen
- Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Shu Tao
- Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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