Study on sandstorm PM10 exposure assessment in the large-scale region: a case study in Inner Mongolia
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Abstract
The current exposure-effect curves describing sandstorm PM10 exposure and the health effects are drawn roughly by the outdoor concentration (OC), which ignored the exposure levels of people’s practical activity sites. The main objective of this work is to develop a novel approach to quantify human PM10 exposure by their socio-categorized micro-environment activities-time weighed (SCMEATW) in strong sandstorm period, which can be used to assess the exposure profiles in the large-scale region. Types of people’s SCMEATW were obtained by questionnaire investigation. Different types of representatives were trackly recorded during the big sandstorm. The average exposure levels were estimated by SCMEATW. Furthermore, the geographic information system (GIS) technique was taken not only to simulate the outdoor concentration spatially but also to create human exposure outlines in a visualized map simultaneously, which could help to understand the risk to different types of people. Additionally, exposure-response curves describing the acute outpatient rate odds by sandstorm were formed by SCMEATW, and the differences between SCMEATW and OC were compared. Results indicated that acute outpatient rate odds had relationships with PM10 exposure from SCMEATW, with a level less than that of OC. Some types of people, such as herdsmen and those people walking outdoors during a strong sandstorm, have more risk than office men. Our findings provide more understanding of human practical activities on their exposure levels; they especially provide a tool to understand sandstorm PM10 exposure in large scale spatially, which might help to perform the different categories population’s risk assessment regionally.
Keywords
Particle matter (PM10) Socio-categorized micro-environment activities-time weighed (SCMEATW) Large-scale spatial exposure assessment Geographic information system (GIS)Abbreviations
- GIS
geographic information system
- MEATW
micro-environment and activities-time weighed
- OC
outdoor concentration
- PM10
particle matter 10
- SCMEATW
socio-categorized micro-environment activities-time weighed
Notes
Acknowledgements
The authors are extremely grateful to staff at the Department of Environment and Health for their health statistics technical assistance. The findings and conclusions in this report are those of the authors.
Authors’ contributions
Hongmei Wang carried out the questionnaire studies and PM exposure assessment, and participated in the drafting of the manuscript. Shihai Lv conceived of the study and contributed ideas in geographical exposure. Zhaoyan Diao participated in the GIS analysis. Baolu Wang carried out the spatial analysis. Caihong Yu helped in the drafting of the manuscript. All the authors read and approved the final manuscript.
Compliance with ethical standards
Ethics approval and consent to participate
This study has been approved by Erlianhaote CDC agency, with the number 201601. All volunteers were administered on the condition that informed consents were signed.
Availability of data and supporting materials section
All detail materials were provided in supplement materials. If there is a query, please contact the author for data requests.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Supplementary material
References
- Bell ML, Levy JK, Lin Z (2008) The effect of sandstorms and air pollution on cause-specific hospital admissions in Taipei, Taiwan. Occup Environ Med 65:104–111CrossRefGoogle Scholar
- C. CR, N. C, G. EM, N.-A. A, V. SP, B. D (2017) Environ Res 156:74Google Scholar
- Canagaratna MR, Jayne JT, Ghertner DA, Herndon S, Shi Q, Jimenez JL, Silva PJ, Williams P, Lanni T, Drewnick F (2004) Chase studies of particulate emissions from in-use New York City vehicles. Aerosol Sci Technol 38:555–573CrossRefGoogle Scholar
- Chen B, Kan H (2008) Air pollution and population health: a global challenge. Environ Health Prev Med 13:94–101CrossRefGoogle Scholar
- Chen F, Fan Z, Qiao Z, Cui Y, Zhang M, Zhao X, Li X (n.d.) Environ PollutGoogle Scholar
- Delfino RJ, Quintana PJ, Floro J, Gastañaga VM, Samimi BS, Kleinman MT, Liu LJ, Bufalino C, Wu CF, Mclaren CE (2004) Association of FEV1 in asthmatic children with personal and microenvironmental exposure to airborne particulate matter. Environ Health Perspect 112:932–941CrossRefGoogle Scholar
- Dominici F, Daniels M, Zeger SL, Samet JM (2002) J Am Stat Assoc 330:1237–1238Google Scholar
- Dons E, Panis LI, Poppel MV, Theunis J, Wets G (2012) Personal exposure to black carbon in transport microenvironments. Atmos Environ 55:392–398CrossRefGoogle Scholar
- Downs SH, Schindler C, Liu LJS, Keidel D, Bayeroglesby L, Brutsche MH, Gerbase MW, Keller R, Künzli N, Leuenberger P (2007) Reduced exposure to PM10 and attenuated age-related decline in lung function. N Engl J Med 357:2338–2347CrossRefGoogle Scholar
- Estarlich, Iñiguez, Llop, Esplugues, Ballester (2008) Epidemiology 19Google Scholar
- P. Gupta, S. Singh, S. Kumar, M. Choudhary and V. Singh, J Asthma Off J Assoc Care Asthma 2012, 49, \, Effect of dust aerosol in patients with asthma, 138Google Scholar
- Hänninen O, Jantunen M, Nawrot TS, Nemery B (2007) Response to findings on association between temperature and dose response coefficient of inhalable particles (PM10). J Epidemiol Community Health 61:838 author reply 838-839Google Scholar
- Hänninen O, Zaulisajani S, Maria RD, Lauriola P, Jantunen M (2009) Environ Model Assess 14:419–429CrossRefGoogle Scholar
- Hou Q, An X, Yan T, Sun Z (2016) Assessment of resident’s exposure level and health economic costs of PM10 in Beijing from 2008 to 2012. Sci Total Environ 563-564:557–565CrossRefGoogle Scholar
- Jensen SS (1999) Google Scholar
- Jian Z (2007) In, Influence of dust weather on the number of outpatient clinic on respiratory and cardiovascular Vol. Shanxi UniversityGoogle Scholar
- Kim H, Lee JT, Hong YC, Yi SM, Kim Y (2004) Evaluating the effect of daily PM10 variation on mortality. Inhal Toxicol 16(Suppl 1):55–58CrossRefGoogle Scholar
- Larrieu, Lefranc, Medina, Jusot JF, Chardon, Riviere, Prouvost, Le T (2006) Epidemiology 17Google Scholar
- Liu XC, Zhong YT, He Q, Yang XH, Mamtimin A, Wen H (2012) Sci Cold Arid Regions 04:259CrossRefGoogle Scholar
- Long L, Wang X, Feng B, Zhang Y, Yang H (2010) Environ Sci Technol 33:140–145Google Scholar
- Macnee W, Donaldson K (2003) Mechanism of lung injury caused by PM10 and ultrafine particles with special reference to COPD. Eur Respir J Suppl 40:47s–51sCrossRefGoogle Scholar
- Masih A, Lall AS, Taneja A, Singhvi R (2017) Exposure profiles, seasonal variation and health risk assessment of BTEX in indoor air of homes at different microenvironments of a terai province of northern India. Chemosphere 176:8–17CrossRefGoogle Scholar
- Munkhdorj B, Bao Y, Ei MY, Battsengel LB (2014) Google Scholar
- Piedrahita R, Kanyomse E, Coffey E, Xie M, Hagar Y, Alirigia R, Agyei F, Wiedinmyer C, Dickinson KL, Oduro A (2017) Exposures to and origins of carbonaceous PM 2.5 in a cookstove intervention in Northern Ghana. Sci Total Environ 576:178–192CrossRefGoogle Scholar
- Sajani SZ, Hänninen O, Marchesi S, Lauriola P (2011) Erratum: comparison of different exposure settings in a case–crossover study on air pollution and daily mortality: counterintuitive results. J Expo Sci Environ Epidemiol 21:222CrossRefGoogle Scholar
- Shao Y, Dong CH (2006) A review on East Asian dust storm climate, modelling and monitoring. Glob Planet Chang 52:1–22CrossRefGoogle Scholar
- S. Sharma, Sustain Environ Res 2013, 23, 393–402Google Scholar
- Stroh E (2011) Metal Mine 2011:2Google Scholar
- Tang R, Blangiardo M, Gulliver J (2013) Using building heights and street configuration to enhance intraurban PM10, NO(X), and NO2 land use regression models. Environ Sci Technol 47:11643–11650CrossRefGoogle Scholar
- Vinceti M, Rothman KJ, Crespi CM, Sterni A, Cherubini A, Guerra L, Maffeis G, Ferretti E, Fabbi S, Teggi S (2012) Leukemia risk in children exposed to benzene and PM10 from vehicular traffic: a case–control study in an Italian population. Eur J Epidemiol 27:781–790CrossRefGoogle Scholar
- Wilson WE, Mar TF, Koenig JQ (2007) Influence of exposure error and effect modification by socioeconomic status on the association of acute cardiovascular mortality with particulate matter in Phoenix. J Expo Sci Environ Epidemiol 17(Suppl 2):S11–S19CrossRefGoogle Scholar
- Wong CM, Tsang H, Lai HK, Thomas GN, Lam KB, Chan KP, Zheng Q, Ayres JG, Lee SY, Lam TH (2016) Cancer mortality risks from long-term exposure to ambient fine particle. Cancer Epidemiol Biomark Prev 25:839–845CrossRefGoogle Scholar
- Yue P, Niu SJ, Shen JG, Ge ZP (2009) J Nat Dis 18:118–123Google Scholar
- Zanobetti A, Schwartz J (2013) Environ Health Perspect 113:978–982CrossRefGoogle Scholar
- Zeka A, Zanobetti A, Schwartz J (2005) Short term effects of particulate matter ce cause specific mortality: effects of legs and modification by city characteristics. Occup Environ Med 62:718–725CrossRefGoogle Scholar
- Zhang F, Xu J, Zhang Z, Meng H, Wang L, Lu J, Wang W, Krafft T (2015) Environ Monit Assess 187:4711Google Scholar
- Y. Zhenhua, Z. Yuexia, Z. Xiquan, Z. Jian, L. Bin and M. Ziqiang, Chin J Environ Sci 2015, 35, 277–284Google Scholar
- Ziqiang M, Lei Z (2007) J Ecotoxicol 2:390–395Google Scholar
- Ziqiang M, Jian z, Hong g, Bin L, Quanxi Z (2007) China Environ Sci 27:116–120Google Scholar