Spatiotemporal variability in long-term population exposure to PM2.5 and lung cancer mortality attributable to PM2.5 across the Yangtze River Delta (YRD) region over 2010-2016 : A multistage approach

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Hong Wang
  • Jiawen Li
  • Meng Gao
  • Ta-Chien Chan
  • Zhiqiu Gao
  • Manyu Zhang
  • Yubin Li
  • Yefu Gu
  • Aibo Chen
  • Yuanjian Yang

Detail(s)

Original languageEnglish
Article number127153
Journal / PublicationChemosphere
Volume257
Online published21 May 2020
Publication statusPublished - Oct 2020
Externally publishedYes

Abstract

The Yangtze River Delta region (YRD) is one of the most densely populated regions in the world, and is frequently influenced by fine particulate matter (PM2.5). Specifically, lung cancer mortality has been recognized as a major health burden associated with PM2.5. Therefore, this study developed a multistage approach 1) to first create dasymetric population data with moderate resolution (1 km) by using a random forest algorithm, brightness reflectance of nighttime light (NTL) images, a digital elevation model (DEM), and a MODIS-derived normalized difference vegetation index (NDVI), and 2) to apply the improved population dataset with a MODIS-derived PM2.5 dataset to estimate the association between spatiotemporal variability of long-term population exposure to PM2.5 and lung cancer mortality attributable to PM2.5 across YRD during 2010-2016 for microscale planning. The created dasymetric population data derived from a coarse census unit (administrative unit) were fairly matched with census data at a fine spatial scale (street block), with R2 and RMSE of 0.64 and 27,874.5 persons, respectively. Furthermore, a significant urban-rural difference of population exposure was found. Additionally, population exposure in Shanghai was 2.9-8 times higher than the other major cities (7-year average: 192,000 μg·people/m3·km2). More importantly, the relative risks of lung cancer mortality in high-risk areas were 28%-33% higher than in low-risk areas. There were 12,574-14,504 total lung cancer deaths attributable to PM2.5, and lung cancer deaths in each square kilometer of urban areas were 7-13 times higher than for rural areas. These results indicate that moderate-resolution information can help us understand the spatiotemporal variability of population exposure and related health risk in a high-density environment. © 2020 Elsevier Ltd.

Research Area(s)

  • Air Pollutants/analysis, Air Pollution/statistics & numerical data, China/epidemiology, Cities, Environmental Exposure, Female, Humans, Lung Neoplasms/epidemiology, Particulate Matter/analysis, Rivers, Population exposure, Premature mortality, Spatiotemporal variability, Dasymetric population, Random forest model, Yangtze river delta

Citation Format(s)

Spatiotemporal variability in long-term population exposure to PM2.5 and lung cancer mortality attributable to PM2.5 across the Yangtze River Delta (YRD) region over 2010-2016: A multistage approach. / Wang, Hong; Li, Jiawen; Gao, Meng et al.
In: Chemosphere, Vol. 257, 127153, 10.2020.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review