演讲嘉宾

Dr. Xina Ma, Associate Professor

Department of Architecture, Chang’an University, Xi’an, China

Biography: Dr. Xina Ma received her Ph.D. degree in Urban and Rural Human Habitation and Environmental Construction Engineering from Chang'an University. She is a member of the China Landscape Architecture Association and an associate professor at Chang'an University's School of Architecture. Preside over the National Natural Science Foundation Youth Program, Shaanxi Provincial Natural Science Foundation Program, Shaanxi Provincial Social Science Foundation Program, Central University Basic Research and other funds. Her research interests include urban ecological environment, microclimate and urban landscape design. Dr. Xina Ma has published more than ten high-caliber papers in SCI, EI, CSCD, etc.

Topic: Spatial Pattern of Community Park Green Space on PM_2.5 and CO₂ Abatement

Abstract: Community parks play a crucial role in mitigating pollution, carbon emissions and promoting sustainable development in urban areas, since they are a regulatory component of urban ecology. By screening the data of a large number of community parks in Xi'an, Shaanxi Province, China, the study extracted six typical indicators of spatial planform, three-dimensional form, and landscape pattern of green space. It then conducted studies on PM_2.5 reduction (∆_PM2.5) and CO₂ reduction (∆_CO2) in the spring. We explored the effects of the spatial pattern of green spaces on PM_2.5 and CO₂ reduction using Pearson's correlation analysis and linear regression methods, optimizing the extraction of significant correlation indicators and running simulations to analyze the formation and maintenance mechanisms of the microclimate environment in community parks. The results demonstrate that: (1) The area of green space patches, the perimeter of patches, and the area-weighted shape index are significantly and positively connected with ∆_PM2.5& ∆_CO2 among the indicators of green space in various spatial patterns. When the size of green space patches in community parks is between 2 and 3 hm2, the reduction impact is noticeable. (2) In various sized community park green spaces, there is a boundary impact for PM_2.5 and CO₂ reduction, and the boundary distance is positively connected with the patch area. According to the outcomes of the optimization simulation, there is a shared maximum reduction boundary of 264m for PM_2.5 and CO₂ at the most significant reduction effect of 2-3hm2 scale. (3) An overall pattern of enclosed plantings > distributed plantings > row plantings can be seen in the effects of various green space plannings on PM_2.5 and CO₂. (4) There is a positive synergy between the reduction of PM_2.5 and CO₂, particularly as the area grows. The synergistic impact is more pronounced, and the reductions of PM_2.5 and CO₂ both peak at the same distance. The study's conclusions support the sustainable growth of urban green space planning from an urban design perspective and further the concept of green space landscape pattern in urban multi-scale space.