Green infrastructure (GI) is one of the important measures to deal with climate change. Under the call of carbon emission reduction, it is inevitable to find a combination scheme of green infrastructure with low cost, low carbon emission, and high efficiency. This study analyzes the carbon emission activities of three kinds of green infrastructure: biological retention pond(BR), green roof(GR), and permeable pavement(PP) in the whole life cycle. A three-objective optimization model is constructed by coupling Storm Water Management Model (SWMM) and Non-dominated Sorting Genetic Algorithm III (NSGA III), which is applied to a newly-build campus in China. According to different demands scenarios, the weight coefficient method is adopted to determine the optimal scheme. The optimal scheme takes carbon emission reduction as the most important objective consisting of 59.1%BR, 33.9% GR and 7% PP. The result shows that the suggested scheme has a larger GR area than PP. This study provides a method and framework for the optimal design of GIs from the perspective of reducing carbon emissions in the newly-build areas, which contribute to the general construction of Sponge City.
Keywords Green infrastructure, Multi-objective optimization, Carbon emission, Numerical simulation