Delineating the spatial-temporal variation of air pollution with urbanization in the Belt and Road Initiative area

被引:80
|
作者
Wei, Guoen [1 ,2 ]
Zhang, Zhenke [1 ,2 ]
Ouyang, Xiao [3 ]
Shen, Yang [4 ]
Jiang, Shengnan [1 ,2 ]
Liu, Binglin [1 ,2 ]
He, Bao-Jie [5 ,6 ]
机构
[1] Nanjing Univ, Coll Geog & Ocean Sci, Nanjing 210023, Peoples R China
[2] Nanjing Univ, Inst African Res, Nanjing 210023, Peoples R China
[3] Hunan Univ Finance & Econ, Hunan Inst Econ Geog, Changsha 410205, Peoples R China
[4] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Peoples R China
[5] Chongqing Univ, Sch Architecture & Urban Planning, Chongqing 400045, Peoples R China
[6] Chongqing Univ, Minist Educ, Key Lab New Technol Construct Cities Mt Area, Chongqing 400045, Peoples R China
基金
中国国家自然科学基金;
关键词
Urbanization; PM2; 5; concentrations; Spatial measurement; Machine learning; Belt and Road Initiative (BRI); MATTER PM2.5 CONCENTRATIONS; TIANJIN-HEBEI REGION; NIGHTTIME LIGHT DATA; ECONOMIC-GROWTH; HAZE POLLUTION; CHINA; MORTALITY; DISEASES; IMPACTS; TRENDS;
D O I
10.1016/j.eiar.2021.106646
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The rapid urbanization in the Belt and Road Initiative (BRI) area has aggravated the cross-regional pollution of PM2.5 and aroused concern about the conflicts between urban development and air quality. This study aims to examine the spatial-temporal PM2.5 variations in the BRI region, in which area many countries are undergoing rapid urbanization and the main field of future urbanization, to delineate the driving mechanism of PM2.5 accumulation or dissipation. Previous studies have analyzed the PM2.5 distribution at the national level, providing limited information regarding regional heterogeneity in urbanization and PM2.5 concentrations within each country. Additionally, the regional differences in the driving mechanisms of urbanization factors on PM2.5 concentrations have not been thoroughly investigated within the BRI areas. In this study, remote sensing raster data was combined with geographic grid units to examine variations in urbanization and PM2.5 within the BRI region, identifying "typical regions" where urbanization could enhance PM2.5 accumulation. The main results are as follows: i) The spatial autocorrelation of urbanization and PM2.5 concentrations has gradually strengthened, showing consistent high-value distributions in the North China Plain, Ganges Plain and indicating a synergistic growth among emerging developing regions such as China, India, and the Persian Gulf Coast. ii) The correlation between urbanization and PM2.5 concentrations exhibited a distinct trend of differentiation within the BRI regions. The influence of urbanization on PM2.5 changed from agglomeration to dispersion, forming a "typical region" category composed of ten countries, including China, India, and Morocco. iii) The three main urbanization-related factors for PM2.5 accumulation in the "typical regions" for 2005-2016 were energy pollution emission, economic activities, and human activities. By 2023, the effects of energy pollution and economic activities are expected to converge in some "typical region" countries. Targeted urban strategies and governance actions based on the different driving-types of "typical regions" in BRI have been proposed to coordinate relationship between urban construction and atmospheric environmental protection.
引用
收藏
页数:16
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