Unveiling the driving mechanism of air pollutant emissions from thermal power generation in China : A provincial-level spatiotemporal analysis

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

11 Scopus Citations
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Author(s)

  • Yichen Wang
  • Junnian Song
  • Wei Yang
  • Liang Dong
  • Haiyan Duan

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number104447
Journal / PublicationResources, Conservation and Recycling
Volume151
Online published10 Sep 2019
Publication statusPublished - Dec 2019

Abstract

With largest proportion in power supply structure and intensive air pollutant emissions, thermal power generation (TPG) is critical to China's national actions on energy conservation and pollutant mitigation. Regional disparities of socioeconomic conditions intensify the complexity of region-oriented policy making. With this circumstance, this paper explores the spatiotemporal features and driving mechanisms of SO2, NOx and PM2.5 emissions from TPG during 2005–2015 in 30 provincial regions of China by applying a holistic approach. Firstly, the temporal variations of the emissions are analyzed followed by the identification of spatial aggregation characteristics through spatial autocorrelation analysis. Secondly, the contributions of the drivers of temporal changes in emissions are quantified by LMDI method. Finally, principal component analysis and clustering analysis are combined to further investigate the classification features of regions in terms of the drivers. The results indicate that there is spatial aggregation effect of pollutant emissions and the regions pertain to high-high type mainly gather in the Yangtze River delta and the North China. Treatment technology, power generation technology and power structure are the main inhibitory drivers, while power demand and population are the promotive ones. Emissions in less developed and power-abundant regions are mainly driven by energy structure, power generation technology and power transmission. In developed regions, GDP, population and industrialization rate present greater impacts on emissions. The approach and the analytical results are expected to offer better decision support to targeted national and local emission reduction policies for TPG.

Research Area(s)

  • Air pollutants, LMDI, Principal component analysis, Socioeconomic drivers, Spatial analysis, Thermal power generation

Citation Format(s)

Unveiling the driving mechanism of air pollutant emissions from thermal power generation in China : A provincial-level spatiotemporal analysis. / Wang, Yichen; Song, Junnian; Yang, Wei; Dong, Liang; Duan, Haiyan.

In: Resources, Conservation and Recycling, Vol. 151, 104447, 12.2019.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review