Analysis of Spatio-temporal Characteristics and Driving Forces of Air Quality in the Northern Coastal Comprehensive Economic Zone, China

Ying Su, Chunyan Lu, Xiaoqing Lin, Lianxiu Zhong, Yibin Gao and Yifan Lei
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Ying Su: College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Chunyan Lu: College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Xiaoqing Lin: College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Lianxiu Zhong: College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Yibin Gao: College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Yifan Lei: College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China

Sustainability, 2020, vol. 12, issue 2, 1-23

Abstract: Comprehensive analysis of air quality is essential to underpin knowledge-based air quality conservation policies and funding decisions by governments and managers. In this paper, air quality change characteristics for the Northern Coastal Comprehensive Economic Zone from 2008 to 2018 were analyzed using air quality indices. The spatio-temporal pattern of air quality was identified using centroid migration, spatial autocorrelation analysis and spatial analysis in a geographic information system (GIS). A spatial econometric model was established to confirm the natural and anthropogenic factors affecting air quality. Results showed that air pollution decreased significantly. PM 2.5 , PM 10 , and O 3 were the primary pollutants. The air quality exhibited an inverted U-shaped trend from January to December, with the highest quality being observed in summer and the lowest during winter. Spatially, the air quality showed an increasing trend from inland to the coast and from north to south, with significant spatial autocorrelation and clustering. Population, energy consumption, temperature, and atmospheric pressure had significant negative impacts on air quality, while wind speed had a positive impact. This study offers an efficient and effective method to evaluate air quality change. The research provides important scientific information necessary for developing future air pollution prevention and control.

Keywords: air quality; Northern Coastal Comprehensive Economic Zone; spatio-temporal evolution; spatial autocorrelation; spatial econometric model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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