Research On Green Infrastructure On Community-scale That Influence The Spread Of COVID-19 Pandemic Under The Background Of Resilient City

Since the 20th century,infectious diseases such as SARS and H1N1 have appeared in the world.The widespread,the great impact on economic and social development and the long duration of the COVID-19 outbreak on a global scale have prompted researchers in various fields to consider how to respond to the outbreak of infectious diseases.International research and practice have shown that elements constituting the urban environment such as green infrastructure have an impact on the prevention and control of infectious diseases.Some scholars have proposed strategies for epidemic prevention and control from the perspective of green infrastructure construction,but few have explored the quantitative relationship between the two.Particularly,there is no research pay attention to green infrastructure in small-scale and their spatial morphological indicators.Therefore this paper innovatively enriched the research on the role of resilient city and green infrastructure in prevention of infectious diseases.At the same time,this study is the first to quantify the relationship between community green infrastructure and COVID-19 morbidity rate and provide evidence for how to enhance resilience.The objective of theoretical research is to Sort out the research mechanism of green infrastructure response to epidemic under the background of resilient city through literature research of resilient city and green infrastructure,mechanism and influencing factors of epidemic prevention by using green infrastructure is summarized.In the empirical study,based on the high-definition image of Wuhan City with a spatial resolution of 0.26 meters,Arc GIS10.2 was used to obtain the quantitative index data of various green infrastructure in 44 sample areas by using relatively accurate manual visual interpretation.The indexes of Spatial Pattern of green infrastructure were obtained by using Morphological Spatial Pattern Analysis（MSPA）.Subsequently,SPSS was used to conduct correlation analysis,curve fitting and regression analysis on the number and spatial pattern of green infrastructure and COVID-19 prevalence index,respectively.Finally,combining theory with empirical evidence,this paper puts forward targeted green infrastructure optimization strategies that help prevent epidemics in the context of resilient cities.The main results are as follows:（1）The green infrastructure for epidemic prevention in the context of resilient cities should have the characteristics of redundancy and modularity,diversity,network connectivity,and flexibility.（2）The coverage rate of green infrastructure in all sample areas is between 15%and51%.There was a significant negative correlation between green infrastructure coverage and COVID-19 prevalence,with a correlation coefficient of 0.350.The impact of green infrastructure on the prevalence of COVID-19 was non-linear,with the increase of green infrastructure coverage,the prevalence of COVID-19 slowed down and gradually decreased.（3）The average percentage of each spatial pattern class of 44 sample communities’is in the order of edge>core>islet>branch>bridge>loop>perforation.The correlation results showed that among the seven types of spatial pattern classes,the ratio of core and edge were negatively correlated with the prevalence of COVID-19 respectively,while the proportion of islet and branch were positively correlated with it.There was no significant correlation between the proportion of bridge,perforation and loop and the prevalence of COVID-19 were found.The curve fitting results showed that the prevalence of COVID-19continued to decrease with the increase of core proportion,and the rate of decrease tended to be gentle.The prevalence of COVID-19 increased with the increase of the proportion of islet.The prevalence of COVID-19 increased first,then decreased and then increased with the rising of the proportion of edge and branch.The prevalence of COVID-19 decreased first,then increased,and then decreased with the increase of the proportion of bridge and loop,although there was no correlation found before.Multiple regression analysis was conducted on the 7 MSPA classes,and the regression model equation with the prevalence of COVID-19 as the dependent variable and core and bridge as the independent variables was as follows:Y=2.133-0.043X_core-0.028X_bridge.（4）In the context of resilient cities,the green infrastructure optimization strategies based on the perspective of epidemic prevention are increasing the coverage of green infrastructure;optimizing the spatial pattern,including expanding the core and reducing the proportion of islet in the point-to-plane pattern,centralizing the core and reducing the proportion of edges in the centralized boundary pattern,and controlling the proportion of branch and loops in the corridor pattern,optimizeing the green infrastructure and activity space for controlling the social distance of people in the post-epidemic era,building a micro-green network of community life circles.