Next Article in Journal
New Opportunities to Mitigate the Burden of Disease Caused by Traffic Related Air Pollution: Antioxidant-Rich Diets and Supplements
Next Article in Special Issue
Multi-Scale Multivariate Models for Small Area Health Survey Data: A Chilean Example
Previous Article in Journal
Kinesiophobia and Pain Intensity Are Increased by a Greater Hallux Valgus Deformity Degree- Kinesiophobia and Pain Intensity in Hallux Valgus
Previous Article in Special Issue
Spatial Distribution Characteristics and Pollution Evaluation of Soil Iron in the Middle Hanjiang River
Article

A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province

by 1,2, 3,* and 1,2,*
1
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
3
Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center for Yellow River Civilization, Henan University, Minglun Street 86, Kaifeng 475001, China
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(2), 629; https://doi.org/10.3390/ijerph17020629
Received: 29 September 2019 / Revised: 15 January 2020 / Accepted: 16 January 2020 / Published: 18 January 2020
(This article belongs to the Special Issue GIS and Spatial Modelling for Environmental Epidemiology)
Urbanization processes at both global and regional scales are taking place at an unprecedent pace, leading to more than half of the global population living in urbanized areas. This process could exert grand challenges on the human living environment. With the proliferation of remote sensing and satellite data being used in social and environmental studies, fine spatial- and temporal-resolution measures of urban expansion and environmental quality are increasingly available. This, in turn, offers great opportunities to uncover the potential environmental impacts of fast urban expansion. This paper investigated the relationship between urban expansion and pollutant emissions in the Fujian province of China by building a Bayesian spatio-temporal autoregressive model. It drew upon recently compiled pollutant emission data with fine spatio-temporal resolution, long temporal coverage, and multiple sources of remote sensing data. Our results suggest that there was a significant relationship between urban expansion and pollution emission intensity—urban expansion significantly elevated the PM2.5 and NOx emissions intensity in Fujian province during 1995–2015. This finding was robust to different measures of urban expansion and retained after controlling for potential confounding effects. The temporal evolution of pollutant emissions, net of covariate effects, presented a fluctuation pattern rather than a consistent trend of increasing or decreasing. Spatial variability of the pollutant emissions intensity among counties was, however, decreasing steadily with time. View Full-Text
Keywords: urban expansion; pollutant emissions; spatial analysis; Fujian province urban expansion; pollutant emissions; spatial analysis; Fujian province
Show Figures

Figure 1

MDPI and ACS Style

Zhao, S.; Dong, G.; Xu, Y. A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province. Int. J. Environ. Res. Public Health 2020, 17, 629. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17020629

AMA Style

Zhao S, Dong G, Xu Y. A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province. International Journal of Environmental Research and Public Health. 2020; 17(2):629. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17020629

Chicago/Turabian Style

Zhao, Shen, Guanpeng Dong, and Yong Xu. 2020. "A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province" International Journal of Environmental Research and Public Health 17, no. 2: 629. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17020629

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop