Analysis of carbon emission reduction benefits of green space systems in sponge cities-Taking three typical green space systems in Urumqi as an example
Urban green space is one of the main components of sponge city construction and plays an important role in carbon reduction actions.In order to quantify the carbon emissions and sinks of sponge city green space system and enhance the carbon emission reduction benefit,based on the IPCC guidelines,assimilation amount method and leaf area model,the whole life cycle method is used to construct the carbon emission reduction accounting model of sponge city green space system from the level of urban green space construction and landscape elements,and the carbon emission reduction factors are analysed by taking three kinds of typical green space systems of Urumqi as research objects,and the results show that:The carbon sinks of roads,parks and streetside.green space in the whole life cycle are 10.36,15.26 and 11.68 times higher than the carbon emissions,and the carbon sinks are much higher than the carbon emissions;the composition of the carbon sinks in the plant carbon sinks compared to the carbon sinks generated by rainwater use and runoff reduction accounted for more than 95%of the carbon sinks;the optimisation of the carbon sinks of the urban green space system was compared from the aspects of the species composition of the plant community and the hierarchical structure,and it was found that the use of high carbon sequestering plant configuration was more important than the carbon emissions.The optimisation of carbon sinks in urban green space systems was compared in terms of plant species composition and hierarchical structure,and it was found that the use of high carbon sequestration plant configuration and tree-shrub-grass composite hierarchical structure could increase the carbon sink of green space by an average of 12.8%~26.3%,with a significant benefit in carbon emission reduction.
sponge citygreen space systemcarbon emission reduction benefitsplant configuration modeloptimized design