Abstract
PM2.5 (Fine particulate matter in the atmosphere) pollution has become a major problem affecting human health and social development, especially in developing countries like China. The interaction between PM2.5 and the underlying factors across different regions or spatial scales are very complex, so it is helpful to study the spatial distribution and evolution of PM2.5, which is the foundation for carrying out regional collaborative governances. However, there is a paucity of this kind of research in China. This paper tries to put forward a new multi-scalar framework based on the spatiotemporal synthesis. After the spatial distribution and evolution of PM2.5 data is integrated with the methods of remote sensing, geographic information system and social ecological system analysis, we can more properly describe the evolving trajectory and characteristics of PM2.5 at different time–space scales. The paper defines and divides the space influenced by PM2.5 into four categories, which indicate the paths of spatial diffusion and finally puts forward the methodology of regional collaboration and environmental governance.
References
Bai Y, Yang F (2013) Lessons and experience of the U.S. PM2.5 control. Energy China 35(4):15–19
Bao Z, Feng Y, Jiao L, Hong S, Liu W (2010) Characterization and source apportionment of PM2.5 and PM10 in Hangzhou. Environ Monit China 26(2):44–48
Battelle Memorial Institute (BMI), and Center for International Earth Science Information Network (CIESIN)/Columbia University (2013) Global annual average PM2.5 grids from MODIS and MISR aerosol optical depth (AOD). NASA Socioeconomic Data and Applications Center (SEDAC), Palisades. http://sedac.ciesin.columbia.edu/data/set/sdei-global-annual-avg-pm2-5-2001-2010. Accessed 3 Sept 2013
Bors EK, Solomon S (2013) How a nested framework illuminates the challenges of comparative environmental analysis. Proc Natl Acad Sci 110(19):7531–7532
Cao X, Kostka G, Xu X (2019) Environmental political business cycles: the case of PM2.5 air pollution in Chinese prefectures. Environ Sci Policy 93:92–100
Cash DW, Moser SC (2000) Linking global and local scales: designing dynamic assessment and management processes. Glob Environ Change 10(2):109–120
Cash DW, Adger WN, Berkes F, Garden P, Lebel L, Olsson P, Pritchard L, Young O (2006) Scale and cross-scale dynamics: governance and information in a multilevel world. Ecol Soc 11(2):8
Chan CK, Yao X (2008) Air pollution in mega cities in China. Atmos Environ 42(1):1–42
Chen Y, Ebenstein A, Greenstone M, Li H (2013) Evidence on the impact of sustained exposure to air pollution on life expectancy from China’s Huai River policy. Proc Natl Acad Sci 110(32):12936–12941
Chowdhury RR (2012) Revisiting the environmental Kuznets curve: an introduction to the special issue. Appl Geogr 32:1–2
Dietz T, Ostrom E, Stern PC (2003) The struggle to govern the commons. Science 302(5652):1907–1912
Fan X, Chen H, Xia X (2013) Progress in observation studies of atmospheric aerosol radiative properties in China. Chin J Atmos Sci 37(2):477–498
Feng L, Liao W (2016) Legislation, plans, and policies for prevention and control of air pollution in China: achievements, challenges, and improvements. J Clean Prod 112:1549–1558
Gu B, Ju X, Wu Y, Erisman J, Bleeker A, Reis S, Sutton M, Lam S, Chen D, Oenema O, Smith R, Ye X (2018) Cleaning up nitrogen pollution may reduce future carbon sinks. Glob Environ Change 48:56–66
Gupta P, Christopher SA, Wang J, Gehrig R, Lee Y, Kumar N (2006) Satellite remote sensing of particulate matter and air quality assessment over global cities. Atmos Environ 40(30):5880–5892
Han X, Wei W, Liu M, Hong W, Lu H, Zhang Y (2013) The influence of airflow on the concentrations of PM10, PM2.5 and PM1.0 in Urumqi, Xinjiang, China. J Desert Res 33(1):223–230
He C, Huang Z, Ye X (2014) Spatial heterogeneity of economic development and industrial pollution in urban China. Stoch Environ Res Risk Assess 28(4):767–781
Hoek G, Beelen R, de Hoogh K, Vienneau D, Gulliver J, Fischer P, Briggs D (2008) A review of land-use regression models to assess spatial variation of outdoor air pollution. Atmos Environ 42(33):7561–7578
Huang X, Song Y, Li M, Li J, Zhu T (2012) Harvest season, high polluted season in East China. Environ Res Lett 7(4):044033
Khan M, Chang YC (2018) Environmental challenges and current practices in China—a thorough analysis. Sustainability 10(7):2547
Kumar N, Chu A, Foster A (2008) Remote sensing of ambient particles in Delhi and its environs: estimation and validation. Int J Remote Sens 29(12):3383–3405
Li W, Bai Z, Wei J, Liu A, Zhao Y, Jin T (2008) Pollution characteristics of PM2.5 and its main componts in Tianjin winter atmosphere. China Environ Sci 28(6):481–486
Li L, Wang H, Cao L, Wang L, Liu H, Shi X (2013) Analysis of PM2.5 pollution situation and control measures in cities of China. Energy Energy Conserv 5:69–70
Liu Y, Sarnat JA, Kilaru V, Jacob DJ, Koutrakis P (2005) Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing. Environ Sci Technol 39(9):3269–3278
Liu Y, Chen D, He K (2008) Review on multi-angle imaging spectral radiometer of atmospheric pollution. Sci China Press 38(3):384–396
Liu Y, Cao G, Zhao N, Mulligan K, Ye X (2018) Improve ground-level PM2.5 concentration mapping using a random forests-based geostatistical approach. Environ Pollut. https://doi.org/10.1016/j.envpol.2017.12.070
Luo Y, Chen J, Zheng X, Zhao T (2012) Climatology of aerosol optical depth over China from recent 10 years of MODIS remote sensing data. Ecol Environ Sci 21(5):876–883
Marshall J (2013) PM2.5. Proc Natl Acad Sci USA 110(22):8756
Martonchik JV, Kahn RA, Diner DJ (2009) Retrieval of aerosol properties over land using MISR observations. In: Satellite aerosol remote sensing over land. Springer, Berlin, Heidelberg, pp 267–293
Ostrom E (1990) Governing the commons: the evolution of institutions for collective action. Cambridge University Press, Cambridge
Ostrom E (2009) A general framework for analyzing sustainability of social-ecological systems. Science 325:419–422
Ostrom E, Cox M (2010) Moving beyond panaceas: a multi-tiered diagnostic approach for social-ecological analysis. Environ Conserv 37(4):451–463
People’s Network (2018) Beijing pushes 29 measures to deal with air pollution during the heating season: the responsibility for prevention and control is compacted to the township [EB/OL]. https://news.sina.com.cn/gov/2018-12-06/doc-ihprknvt4043721.shtml. 14 Nov 2018
Ramanathan V, Crutzen PJ, Lelieveld J, Mitra A, Althausen D, Anderson J, Andreae M, Cantrell W, Cass G, Chung C (2001) Indian ocean experiment: an integrated analysis of the climate forcing and effects of the great Indo-Asian haze. J Geophys Res Atmos 106(D22):28371–28398
Rivas-Perea P, Rosiles J, Cota-Ruiz J (2013) Statistical and neural pattern recognition methods for dust aerosol detection. Int J Remote Sens 34(21):7648–7670
Rohde RA, Muller RA (2015) Air pollution in China: mapping of concentrations and sources. PLoS ONE 10(8):e0135749
Shi W, Wong MS, Wang J, Zhao Y (2012) Analysis of airborne particulate matter (PM2.5) over Hong Kong using remote sensing and GIS. Sensors 12(6):6825–6836
Silva RA, West JJ, Zhang Y, Anenberg SC, Lamarque JF, Shindell DT, Collins WJ, Dalsoren S, Faluvegi G, Folberth G (2013) Global premature mortality due to anthropogenic outdoor air pollution and the contribution of past climate change. Environ Res Lett 8(3):034005
Sorek-Hamer M, Cohen A, Levy R, Ziv B, Broday D (2013) Classification of dust days by satellite remotely sensed aerosol products. Int J Remote Sens 34(8):2672–2688
Superczynski SD, Christopher SA (2011) Exploring land use and land cover effects on air quality in Central Alabama using GIS and remote sensing. Remote Sens 3(12):2552–2567
Van Donkelaar A, Martin RV, Park RJ (2006) Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing. J Geophys Res Atmos. https://doi.org/10.1029/2005JD006996
Van Donkelaar A, Martin RV, Brauer M, Kahn R, Levy R, Verduzco C, Villeneuve PJ (2010) Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environ Health Perspect 118(6):847
Van Donkelaar A, Martin RV, Levy RC, da Silva AM, Krzyzanowski M, Chubarova NE, Semutnikova E, Cohen AJ (2011) Satellite-based estimates of ground-level fine particulate matter during extreme events: a case study of the Moscow fires in 2010. Atmos Environ 45(34):6225–6232
Wang D (2012) Look the release and supervision of public information from PM2.5 argument. Lawscience 9:75–81
Wang W, Tang D, Liu H (2000) Research on current pollution status and pollution characteristics of PM2.5 in China. Res Environ Sci 13(1):1–5
Wang JF, Hu MG, Xu CD, Christakos G, Zhao Y (2013a) Estimation of citywide air pollution in Beijing. PLoS ONE 8(1):e53400
Wang Z, Liu Y, Hu M, Pan X, Shi J, Chen F, He K, Koutrakis P, Christiani DC (2013b) Acute health impacts of airborne particles estimated from satellite remote sensing. Environ Int 51:150–159
Wang L, Zhang F, Pilot E, Yu J, Nie C, Holdaway J et al (2018) Taking action on air pollution control in the Beijing–Tianjin–Hebei (BTH) region: progress, challenges and opportunities. Int J Environ Res Public Health 15(2):306
Wei Y, Ye X (2014) Urbanization, urban land expansion and environmental change in China. Stoch Environ Res Risk Assess 28(4):757–765
Weng Q, Yang S (2006) Urban air pollution patterns, land use, and thermal landscape: an examination of the linkage using GIS. Environ Monit Assess 117(1–3):463–489
Wu D (2012) Thinking and advice on the controlling strategy of PM2.5 the hot pollutant in the new ambient air quality standard of China. Environ Monit Forewarn 4(4):1–7
Yang J (2012) Functions of soil and water conservation in improvement of air quality in Beijing. Chin Water Resour 2:21–22
Ye X, Wei YD (2012) Regional development, disparities and polices in globalizing Asia. Reg Sci Policy Pract 4(3):179–182
Young OR (2002) The institutional dimensions of environmental change: fit, interplay, and scale. The MIT Press, Cambridge
Young OR (2011) Effectiveness of international environmental regimes: existing knowledge, cutting-edge themes, and research strategies. Proc Natl Acad Sci 108(50):19853–19860
Young OR, King LA, Schroeder H (2008) Institutions and environmental change: principal findings, applications, and research frontiers. MIT Press, Cambridge
Zhang X (2012) The analysis of power mechanism about government environmental information open: the event of “PM2.5 monitoring were included in the national standard” as an example. Urban Stud 19(9):61–67
Zhang A, Qi Q, Jiang L, Zhou F, Wang J (2013) Population exposure to PM2.5 in the urban area of Beijing. PLoS ONE 8(5):e63486
Zheng M, Salmon LG, Schauer JJ, Zeng L, Kiang C, Zhang Y, Cass GR (2005) Seasonal trends in PM2.5 source contributions in Beijing, China. Atmos Environ 39(22):3967–3976
Zheng Z, Chen L, Zheng J, Zhong L, Liu Q (2011) Application of retrieved high-resolution AOD in regional PM monitoring in the Pearl River Delta and Hong Kong region. Acta Sci Circum 31(6):1155–1161
Zheng X, Luo Y, Zhao T, Chen J, Kang W (2012) Geographical and climatological characterization of aerosol distribution in China. Sci Geogr Sin 32(3):265–272
Zheng Y, Fan J, Liu J, Jiang J (2013) Characteristics of aerosol optical depth and aerosol particle size distribution based on ground-based remote sensing in the Taihu region. Acta Sci Circum 33(6):1672–1681
Zhu X, Zhang Y, Zeng L, Wang W (2005) Source identification of ambient PM2.5 in Beijing. Res Environ Sci 18(5):1–5
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
This work is supported jointly by National Key Research and Development Program (No.2016YFC0503506), National Natural Science Foundation of China (No. 41571138, 41871143), and The Strategic Priority Research Program of the Chinese Academy of Sciences (XDA23100301).
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Ruishan Chen has the equal contribution as the first author.
Rights and permissions
About this article
Cite this article
Ye, C., Chen, R., Chen, M. et al. A new framework of regional collaborative governance for PM2.5. Stoch Environ Res Risk Assess 33, 1109–1116 (2019). https://doi.org/10.1007/s00477-019-01688-w
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00477-019-01688-w