Whole-domain Spatial Dynamic Transition and Local Spatial Driving Differences of Ozone Pollution in the Yangtze River Economic Zone
As a key region for ozone pollution control,improving the knowledge of spatial and temporal variations of ozone pollution in the Yangtze River Economic Belt and exploring the main drivers of pollution generation have be-come two fundamental and critical issues for realizing synergistic control.Based on the ozone concentration monitoring data of cities in the Yangtze River Economic Belt from 2015 to 2020,exploratory spatio-temporal data analysis(ES-TDA)is applied to study the characteristics and spatial and temporal changes of ozone pollution in the Yangtze River Economic Belt,and panel quantile regression models are applied to analyze the main drivers behind the changes in the ozone pollution pattern in the Yangtze River Economic Belt,and to further explore its local spatial driving differences,and then improve the scientific knowledge of ozone pollution in the Yangtze River Economic Belt.It is found that the ozone pollution pattern in the Yangtze River Economic Belt as a whole shows an east-high and west-low trend,and the heavily polluted areas are expanding from the downstream to the middle and upper reaches of the Yangtze River E-conomic Belt;the spatial correlation of ozone pollution has been increasing year by year and shows the spatial evolu-tion characteristics of agglomeration and divergence;the spatio-temporal jump of ozone concentration has a strong spatial dependence,but the overall situation shows a certain degree of inertia in transfer;and the types of ozone con-centration spatial and temporal jump drivers in the spatial scales of localities differ from those of the municipalities.The middle and downstream cities,such as Shanghai and Changsha,are open-urbanization driven;the upstream cit-ies,such as Guiyang and Kunming,are science and technology-greening constrained.The spatial and temporal o-zone concentrations from the upstream to the downstream show a pattern of"same direction constraints-reverse devel-opment-same direction development".
Yangtze River Economic Zoneozone pollutionspatial patternspatiotemporal transitiondriving type
NETL
NSTL
万方数据
