Estimating the impact of urbanization on air quality in China using spatial regression models

Sustainability (Switzerland)

Volumn 7, Issue 11, 2015, Pages 15570-15592

  Fang, Chuanglin ^a   Liu, Haimeng ^a,b   Li, Guangdong ^a   Sun, Dongqi ^a   Miao, Zhuang ^c  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c TAIZHOU UNIVERSITY   (China)

Author keywords

Air pollution; Air quality index (AQI); China's urbanization; Geographically weighted regression (GWR); PM2.5; Spatial regression models; Spatial variations

Indexed keywords

AIR QUALITY; ATMOSPHERIC POLLUTION; AUTOCORRELATION; EMISSION INVENTORY; ESTIMATION METHOD; GROSS DOMESTIC PRODUCT; PARTICLE SIZE; PARTICULATE MATTER; REGRESSION ANALYSIS; SPATIAL ANALYSIS; SPATIAL VARIATION; SPATIOTEMPORAL ANALYSIS; URBAN POLLUTION; URBANIZATION; LEAST SQUARES METHOD;

CHINA;

EID: 84949497278     PISSN: None     EISSN: 20711050     Source Type: Journal    
DOI: 10.3390/su71115570     Document Type: Article

References (74)

1. Chan, C.K.; Yao, X. Air pollution in mega cities in china. Atmos. Environ. 2008, 42, 1-42.
2. Kan, H.; Chen, B.; Hong, C. Health impact of outdoor air pollution in china: Current knowledge and future research needs. Environ. Health Perspect. 2009, doi:10.1289/ehp.12737.
3. Matus, K.; Nam, K.-M.; Selin, N.E.; Lamsal, L.N.; Reilly, J.M.; Paltsev, S. Health damages from air pollution in China. Glob. Environ. Chang. 2012, 22, 55-66.
4. Wong, E. Air Pollution Linked to 1.2 Million Premature Deaths in China. 2013. Available online: http://ming3d.com/sustainable/wp-content/uploads/2013/04/Air-Pollution-linked-to-Premature-Deaths.pdf (accessed on 18 November 2015).
5. Rohde, R.A.; Muller, R.A. Air pollution in China: Mapping of concentrations and sources. PLoS ONE 2015, doi:10.1371/journal.pone.0135749.
6. Crane, K.; Mao, Z. Costs of Selected Policies to Address Air Pollution in China; RAND Corporation: Santa Monica, CA, USA, 2015.
7. Zhang, D.; Liu, J.; Li, B. Tackling air pollution in China-What do we learn from the great smog of 1950s in London. Sustainability 2014, 6, 5322-5338.
8. Ma, T.; Zhou, C.; Pei, T.; Haynie, S.; Fan, J. Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities. Remote Sens. Environ. 2012, 124, 99-107.
9. Beirle, S.; Boersma, K.F.; Platt, U.; Lawrence, M.G.; Wagner, T. Megacity emissions and lifetimes of nitrogen oxides probed from space. Science 2011, 333, 1737-1739.
10. Hopke, P.K.; Cohen, D.D.; Begum, B.A.; Biswas, S.K.; Ni, B.; Pandit, G.G.; Santoso, M.; Chung, Y.-S.; Davy, P.; Markwitz, A. Urban air quality in the Asian region. Sci. Total Environ. 2008, 404, 103-112.
11. NBSC. China Statistical Yearbook 2014; China Statistics Press: Beijing, China, 2014. (In Chinese).
12. Grimm, N.B.; Faeth, S.H.; Golubiewski, N.E.; Redman, C.L.; Wu, J.G.; Bai, X.M.; Briggs, J.M. Global change and the ecology of cities. Science 2008, 319, 756-760.
13. Fang, C.L.; Wang, J. A theoretical analysis of interactive coercing effects between urbanization and eco-environment. Chin. Geogr. Sci. 2013, 23, 147-162.
14. Zhou, N.; Fridley, D.; Khanna, N.Z.; Ke, J.; McNeil, M.; Levine, M. China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model. Energy Policy 2013, 53, 51-62.
15. Liu, L.; He, P.; Zhang, B.; Bi, J. Red and green: Public perception and air quality information in urban China. Environ. Sci. Policy Sustain. Dev. 2012, 54, 44-49.
16. Yuan, Y.; Liu, S.; Castro, R.; Pan, X. PM2.5 monitoring and mitigation in the cities of China. Environ. Sci. Technol. 2012, 46, 3627-3628.
17. Chen, M.; Liu, W.; Lu, D. Challenges and the way forward in China's new-type urbanization. Land Use Policy 2015, in press.
18. Bai, X.; Shi, P.; Liu, Y. Society: Realizing China's urban dream. Nature 2014, 509, 158-160.
19. Molina, M.J.; Molina, L.T. Megacities and atmospheric pollution. J. Air Waste Manag. Assoc. 2004, 54, 644-680.
20. Tai, A.P.; Mickley, L.J.; Jacob, D.J. Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: Implications for the sensitivity of PM2.5 to climate change. Atmos. Environ. 2010, 44, 3976-3984.
21. Zhang, Z.; Zhang, X.; Gong, D.; Quan, W.; Zhao, X.; Ma, Z.; Kim, S.-J. Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing. Atmos. Environ. 2015, 108, 67-75.
22. Asimakopoulos, D.; Flocas, H.; Maggos, T.; Vasilakos, C. The role of meteorology on different sized aerosol fractions (PM10, PM2.5, PM2.5-10). Sci. Total Environ. 2012, 419, 124-135.
23. Gebhart, K.A.; Kreidenweis, S.M.; Malm, W.C. Back-trajectory analyses of fine particulate matter measured at big bend national park in the historical database and the 1996 scoping study. Sci. Total Environ. 2001, 276, 185-204.
24. Han, L.; Zhou, W.; Li, W.; Meshesha, D.T.; Li, L.; Zheng, M. Meteorological and urban landscape factors on severe air pollution in Beijing. J. Air Waste Manag. Assoc. 2015, 65, 782-787.
25. Leibensperger, E.M.; Mickley, L.J.; Jacob, D.J. Sensitivity of us air quality to mid-latitude cyclone frequency and implications of 1980-2006 climate change. Atmos. Chem. Phys. 2008, 8, 7075-7086.
26. Ramsey, N.R.; Klein, P.M.; Moore, B. The impact of meteorological parameters on urban air quality. Atmos. Environ. 2014, 86, 58-67.
27. Zhang, Y.; Ding, A.; Mao, H.; Nie, W.; Zhou, D.; Liu, L.; Huang, X.; Fu, C. Impact of synoptic weather patterns and inter-decadal climate variability on air quality in the north China plain during 1980-2013. Atmos. Environ. 2015, in press.
28. Hirota, K. Comparative studies on vehicle related policies for air pollution reduction in ten Asian countries. Sustainability 2010, 2, 145-162.
29. Schmale, J.; von Schneidemesser, E.; Dörrie, A. An integrated assessment method for sustainable transport system planning in a middle sized German city. Sustainability 2015, 7, 1329-1354.
30. Hao, J.; Wang, L. Improving urban air quality in China: Beijing case study. J. Air Waste Manag. Assoc. 2005, 55, 1298-1305.
31. Zhao, J.; Chen, S.; Wang, H.; Ren, Y.; Du, K.; Xu, W.; Zheng, H.; Jiang, B. Quantifying the impacts of socio-economic factors on air quality in Chinese cities from 2000 to 2009. Environ. Pollut. 2012, 167, 148-154.
32. Ryu, Y.-H.; Baik, J.-J.; Lee, S.-H. Effects of anthropogenic heat on ozone air quality in a megacity. Atmos. Environ. 2013, 80, 20-30.
33. Han, L.; Zhou, W.; Li, W.; Li, L. Impact of urbanization level on urban air quality: A case of fine particles (PM2.5) in Chinese cities. Environ. Pollut. 2014, 194, 163-170.
34. Cho, H.-S.; Choi, M.J. Effects of compact urban development on air pollution: Empirical evidence from Korea. Sustainability 2014, 6, 5968-5982.
35. Stone, B., Jr. Urban sprawl and air quality in large us cities. J. Environ. Manag. 2008, 86, 688-698.
36. Xia, T.-Y.; Wang, J.; Song, K.; Da, L. Variations in air quality during rapid urbanization in Shanghai, China. Landsc. Ecol. Eng. 2011, 10, 181-190.
37. Beelen, R.; Hoek, G.; Vienneau, D.; Eeftens, M.; Dimakopoulou, K.; Pedeli, X.; Tsai, M.-Y.; Künzli, N.; Schikowski, T.; Marcon, A. Development of no 2 and no x land use regression models for estimating air pollution exposure in 36 study areas in Europe-the escape project. Atmos. Environ. 2013, 72, 10-23.
38. Borrego, C.; Martins, H.; Tchepel, O.; Salmim, L.; Monteiro, A.; Miranda, A.I. How urban structure can affect city sustainability from an air quality perspective. Environ. Model. Softw. 2006, 21, 461-467.
39. Nowak, D.J.; Hirabayashi, S.; Bodine, A.; Greenfield, E. Tree and forest effects on air quality and human health in the United States. Environ. Pollut. 2014, 193, 119-129.
40. Fang, C.; Liu, X. Temporal and spatial differences and imbalance of China's urbanization development during 1950-2006. J. Geogr. Sci. 2009, 19, 719-732.
41. The Daily Urban Air Quality. Available online: http://datacenter.mep.gov.cn/(accessed on 18 November 2015).
42. World Health Organization. Air Quality Guidelines: Global Update 2005. 2006. Available online: http://www.euro.who.int/__data/assets/pdf_file/0005/78638/E90038.pdf (accessed on 18 November 2015).
43. Fang, M.; Chan, C.K.; Yao, X. Managing air quality in a rapidly developing nation: China. Atmos. Environ. 2009, 43, 79-86.
44. NBSC. China City Statistical Yearbook 2014; China Statistics Press: Beijing, China, 2014. (In Chinese).
45. NBSC. China's Regional Economic Statistical Yearbook 2014; China Statistics Press: Beijing, China, 2014. (In Chinese).
46. Biao, Q.; Chuanglin, F. The dynamic coupling model and its application of urbanization and eco-environment in Hexi corridor. J. Geogr. Sci. 2005, 15, 491-499.
47. Li, Y.F.; Li, Y.; Zhou, Y.; Shi, Y.L.; Zhu, X.D. Investigation of a coupling model of coordination between urbanization and the environment. J. Environ. Manag. 2012, 98, 127-133.
48. Akbari, H.; Pomerantz, M.; Taha, H. Cool surfaces and shade trees to reduce energy use and improve air quality in urban areas. Sol. Energy 2001, 70, 295-310.
49. Xue, B.; Geng, Y.; Müller, K.; Lu, C.; Ren, W. Understanding the causality between carbon dioxide emission, fossil energy consumption and economic growth in developed countries: An empirical study. Sustainability 2014, 6, 1037-1045.
50. Lozano, S.; Gutiérrez, E. Non-parametric frontier approach to modelling the relationships among population, gdp, energy consumption and CO2 emissions. Ecol. Econ. 2008, 66, 687-699.
51. Mason, C.H.; Perreault, W.D., Jr. Collinearity, power, and interpretation of multiple regression analysis. J. Mark. Res. 1991, 28, 268-280.
52. Dietz, T.; Rosa, E.A.; York, R. Environmentally efficient well-being: Is there a Kuznets curve? Appl. Geogr. 2012, 32, 21-28.
53. Stern, D.I. The rise and fall of the environmental Kuznets curve. World Dev. 2004, 32, 1419-1439.
54. Song, M.-L.; Zhang, W.; Wang, S.-H. Inflection point of environmental Kuznets curve in mainland China. Energy Policy 2013, 57, 14-20.
55. Brajer, V.; Mead, R.W.; Xiao, F. Searching for an environmental Kuznets curve in China's air pollution. China Econ. Rev. 2011, 22, 383-397.
56. Anselin, L.; Rey, S.J. Perspectives on Spatial Data Analysis. 2010. Available online: http://link.springer.com/book/10.1007%2F978-3-642-01976-0 (accessed on 18 November 2015).
57. Tobler, W.R. A computer movie simulating urban growth in the Detroit region. Econ. Geogr. 1970, 46, 234-240.
58. Tiefelsdorf, M. Modelling Spatial Processes: The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of Moran's I (Germany). Ph.D. Thesis, Wilfrid Laurier University, Waterloo and Brantford, ON, Canada, May 1998.
59. Anselin, L. Local indicators of spatial association-lisa. Geogr. Anal. 1995, 27, 93-115.
60. Arribas-Bel, D.; Sanz-Gracia, F. The validity of the monocentric city model in a polycentric age: US metropolitan areas in 1990, 2000 and 2010. Urban Geogr. 2014, 35, 980-997.
61. Zhang, C.; Luo, L.; Xu, W.; Ledwith, V. Use of local Moran's I and GIS to identify pollution hotspots of Pb in urban soils of galway, ireland. Sci. Total Environ. 2008, 398, 212-221.
62. Fischer, M.M.; Getis, A. Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications; Springer Science & Business Media: Berlin, Germany, 2009.
63. Ali, K.; Partridge, M.D.; Olfert, M.R. Can geographically weighted regressions improve regional analysis and policy making? Int. Reg. Sci. Rev. 2007, 30, 300-329.
64. Anselin, L.; Bera, A.K. Spatial dependence in linear regression models with an introduction to spatial econometrics. Stat. Textb. Monogr. 1998, 155, 237-290.
65. Kelejian, H.H.; Prucha, I.R. Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances. J. Econom. 2010, 157, 53-67.
66. Fotheringham, A.S.; Brunsdon, C.; Charlton, M. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships; John Wiley & Sons: Hoboken, NJ, USA, 2003.
67. Yu, D.-L. Spatially varying development mechanisms in the greater Beijing area: A geographically weighted regression investigation. Ann. Reg. Sci. 2006, 40, 173-190.
68. Lo, C. Population estimation using geographically weighted regression. GIScience Remote Sens. 2008, 45, 131-148.
69. Chang, H.-S.; Chen, T.-L. Decision making on allocating urban green spaces based upon spatially-varying relationships between urban green spaces and urban compaction degree. Sustainability 2015, 7, 13399-13415.
70. Gao, J.; Li, S. Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using geographically weighted regression. Appl. Geogr. 2011, 31, 292-302.
71. Song, W.; Jia, H.; Huang, J.; Zhang, Y. A satellite-based geographically weighted regression model for regional PM 2.5 estimation over the Pearl River delta region in China. Remote Sens. Environ. 2014, 154, 1-7.
72. Tu, J.; Xia, Z.G. Examining spatially varying relationships between land use and water quality using geographically weighted regression I: Model design and evaluation. Sci. Total Environ. 2008, 407, 358-378.
73. Wheeler, D.C. Visualizing and diagnosing coefficients from geographically weighted regression models. In Geospatial Analysis and Modelling of Urban Structure and Dynamics; Springer Netherland: Heidelberg, Germany, 2010; pp. 415-436.
74. Li, G.; Fang, C. Analyzing the multi-mechanism of regional inequality in China. Ann. Reg. Sci. 2014, 52, 155-182.