Control Models and Spatiotemporal Characteristics of Air Pollution in the Rapidly Developing Urban Agglomerations

Abstract

This paper systematically summarizes the hierarchical cross-regional multi-directional linkage in terms of air pollution control models implemented in the Beijing-Tianjin-Hebei urban agglomeration, including the hierarchical linkage structure of national-urban agglomeration-city, the cross-regional linkage governance of multiple provinces and municipalities, the multi-directional linkage mechanism mainly involving industry access, energy structure, green transportation, cross-regional assistance, monitoring and warning, consultation, and accountability. The concentration data of six air pollutants were used to analyze spatiotemporal characteristics. The concentrations of SO2, NO2, PM10, PM2.5, CO decreased, and the concentration of O3 increased from 2014 to 2017; the air pollution control has achieved good effect. The concentration of O3 was the highest in summer and lowest in winter, while those of other pollutants were the highest in winter and lowest in summer. The high pollution ranges of O3 diffused from south to north, and those of other pollutants decreased significantly from north to south. Finally, we suggest strengthening the traceability and process research of heavy pollution, increasing the traceability and process research of O3 pollution, promoting the joint legislation of different regions in urban agglomeration, create innovative pollution discharge supervision mechanisms, in order to provide significant reference for the joint prevention and control of air pollution in urban agglomerations.

A Cost Allocation Decision Model for Air Pollution Control

“…The results show that the air environment vulnerability of 13 cities in the Beijing-Tianjin-Hebei region shows obvious spatial heterogeneity. Liang and Wang systematically summarized the Beijing-Tianjin-Hebei urban agglomeration implemented air pollution control mode, which is multilevel, cross regional, and multidirectional [ 8 ]. This includes a state-agglomeration-city linkage structure, multiprovincial, and cross-regional linkage governance, and multidirectional linkage mechanisms involving industrial access, energy structure, green transportation, cross-regional assistance, monitoring and early warning, consultation, and accountability to analyze the temporal and spatial characteristics by using the concentration data of six kinds of air pollutants.…”

Revealing the Impact of Socio-Economic Metrics on the Air Quality on Northeast China Using Multivariate Statistical Analysis

“…According to the results of previous studies regarding the relationship between air quality and socioeconomic parameters [28,29], 10 factors are selected as potential controls to be considered on the air quality (shown in Table 1). The socio-economic data comes from the China City Statistical Yearbook of 2019.…”

The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China

“…Despite continued efforts, the Chinese government has yet to grapple with the issue of air pollution. The densely populated and developed regions experience frequent and severe winter haze and summer O 3 pollution episodes, such as the Beijing-Tianjin-Hebei (BTH), Pearl River Delta (PRD) and Yangtze River Delta (YRD) regions [12][13][14][15]. It has been shown that primary emissions accumulate in various types of meteorological conditions in each region, suggesting a strong tendency of complex air pollution in China [16,17].…”