Construction Of Domestic Waste Dynamic Model And Optimization Of Transportation Mode Under Typical Scenarios Of Zero-waste Cities

China is currently the country with the highest total amount of solid waste generated.In order to ensure the realization of the national waste treatment demand plan and the overall improvement of the quality of human living environment,China has successively launched the construction plan of "Zero-Waste city",through the "11+5" construction The pilot program aims to reduce the amount of solid waste at the source,utilize resources,reduce landfills,and minimize the environmental impact of the process of solid waste removal and transportation as the goal of project promotion,and form a point-and-face promotion demonstration role to cooperate with the practice of garbage classification.Among them,the overall refined management and control of domestic waste occupies a pivotal position in the strategic layout of Zero-Waste City.The research area of this thesis,as a pilot zone for county-level cities,has the characteristics of rapid urbanization,scattered and large amounts of domestic waste,and has not established a waste classification mechanism.There is representative research on the solid waste environmental problems arising from the process of urbanization in China value.This research is based on the management model requirements in the construction of Zero-Waste City,combined with big data driving,to establish accurate control technology support for key nodes such as source output prediction,garbage spatial distribution,and transportation path optimization in the source reduction of Zero-Waste City construction scenarios.The study is based on macro-based social data,collecting multi-source heterogeneous big data from 11 similar county-level cities in the study area and surrounding areas,and performing preprocessing of data value enhancement such as outlier detection and vacancy value filling.A 30-character household garbage-related data index system is included;the grey correlation analysis method is used to rank the correlation degree of the characteristic factors,and the data is reduced in dimension,and 10 high-value features related to the production of household garbage are clarified;based on the random forest algorithm Utilizing high-value characteristic data,constructing a multiple regression prediction model that conforms to the future development law of the study area,and obtained the conclusion that the annual output of domestic garbage in the study area will continue to rise at a high speed.The annual output in five years will increase from 121,900 tons to 146,900 Tons,and the output is expected to increase by 20%,providing data support for the local source output detection and resource allocation decisions.Using Arc GIS 10.8 software,using background noise reduction processing of night light remote sensing data sets,a high linear correlation is established with the total output of local domestic garbage,and thus the characteristics of domestic garbage space changes in the study area from 2012 to 2019 are obtained;Combined with the Tyson polygon algorithm,the service area based on domestic garbage transfer points was divided into 2448 square kilometers of research area,and the service area and daily average garbage load of 319 local garbage transfer points in 2020 were obtained;using the transfer point element data and road network Vector data,establish a GIS-based multi-path delivery problem analysis data set,generate a transportation plan containing 30 vehicles,with a time limit window,and covering the whole area of domestic garbage,and combining the distribution of local garbage with rural and urban areas The regional differences have optimized the time cost and economic benefits of the transportation mode.Combining the construction of Zero-Waste City and the management technical difficulties that may arise after the classification of domestic waste,this paper proposes a construction plan for the spatial and temporal dynamic prediction model and multi-path transportation optimization model that serves the garbage classification scenario,introduces a geographically weighted regression method,and proposes different types of garbage The spatial-temporal distribution characteristic model and the calculation method of transportation mode.It also designs a functionally coupled software platform that includes multi-source heterogeneous big data management,source output prediction,spatial distribution analysis,and transportation time-economic cost optimization to serve source reduction and resource utilization construction in the process of Zero-Waste City construction.