Under the strategic framework of ecological civilization development,this study focuses on the integrated management system for garden green waste in Beijing,the green ecological metropolis,aiming to achieve the science-based setup of garden waste treatment sites and promote the sustainable development of the city's green recycling economy through rational waste collection planning,efficient treatment,recycling use and resource-oriented utilization processes.In this study,we use CASA model to get the NPP distribution in Tongzhou District in 2022 and convert it to biomass and garden waste,identify the distribution of five types of vegetation in Tongzhou District based on machine learning algorithms,and use optimisation algorithms coupled with the spatial analysis technology of GIS to get the more optimal three-level garden waste treatment sites.The results show that:1)The high NPP value area in Tongzhou District is mainly distributed in the east,while the NPP in the southeast and northeast of Tongzhou District shows medium-low values;2)The amount of garden waste of deciduous trees in Tongzhou District is the largest,which is the main influencing factor to the distribution range of garden waste in this district;and 3)The science-based set-up of three-level treatment points could provide directions for the treatment of garden green waste in Tongzhou.
关键词
园林绿色废弃物/CASA模型/机器学习算法/优化算法/GIS空间分析
Key words
garden green waste/CASA model/machine learning algorithm/optimization algorithm/GIS spatial analysis
维普
万方数据