Abstract

Ambient fine particulate matter (PM2.5) can cause respiratory and heart diseases, which have a great negative impact on human health. While, as a fast-developing region, the Belt and Road (B&R) has suffered serious air pollution, more detailed information has not been revealed. This study aims to investigate the evolutionary relationships between PM2.5 air pollution and its population-weighted exposure level (PWEL) over the B&R based on satellite-derived PM2.5 concentration and to identify the key regions for exposure control in the future. For this, the study focused on the B&R region, covering 51 countries, ranging from developed to least developed levels, extensively evaluated the different development levels of PM2.5 concentrations during 2000–2020 by spatial-temporal trend analysis and bivariate spatial correlation, then identified the key regions with high risk under different levels of Air Quality Guidelines (AQG). Results show that the overall PM2.5 and PWEL of PM2.5 concentration remained stable. Developing countries presented with the heaviest PM2.5 pollution and highest value of PWEL of PM2.5 concentration, while least developed countries presented with the fastest increase of both PM2.5 and PWEL of PM2.5 concentration. Areas with a high level and rapid increase PWEL of PM2.5 concentration were mainly located in the developing countries of India, Bangladesh, Nepal, and Pakistan, the developed country of Saudi Arabia, and least developed countries of Yemen and Myanmar. The key regions at high risk were mainly on the Indian Peninsula, Arabian Peninsula, coastal area of the Persian Gulf, northwestern China, and North China Plain. The findings of this research would be beneficial to identify the spatial distributions of PM2.5 concentration exposure and offer suggestions for formulating policies for the prevention and control PM2.5 air pollution at regional scale by the governments.

Highlights

  • This study aims to assess the 51 countries grouped by different development level over the Belt and Road (B&R) region and comprehensively estimated the spatiotemporal dynamic changes of PM2.5 concentrations and its populationweighted exposure level (PWEL) based on satellite-based dataset from 2000 to 2020

  • This study analyzed the spatiotemporal variations of PM2.5 air pollution and exposure over the B&R region from the perspective of PM2.5 concentration, PWEL of PM2.5 concentration, slope, and its cluster for PWEL of PM2.5 concentration and identified the key regions for exposure control

  • The long time series analysis results of this study completely revealed the spatiotemporal characteristic of PM2.5 exposures over the B&R region for the

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Summary

Introduction

Introduction iationsIt is reported that 7.3 million premature deaths in each year are related to poor air quality conditions [1] all over the world. Belt and Road (B&R) region (e.g., India [7,8], China [9,10], Pakistan [11,12]). This situation is outstanding in urban areas [13–17]. The air pollution in the B&R region was generally serious, from the local perspective, distributions of air pollution were not consistent over the whole region, and significant differences were shown across different countries or cities [18]. In this case, it is necessary to analyze the spatial and temporal characteristics of air pollution in the B&R region and to identify the areas with

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