Waste Land Distribution And Deployment Planning And Land Use Prediction

Due to the expansion of the size of Chinese cities and the increasing total population,the demand for domestic and production waste for urban residents has also increased sharply.The garbage disposal mode and capacity of the county seat are far from meeting the requirements of urbanization construction.The construction of the garbage dump does not match the urban infrastructure,insufficient function of urban transfer stations,non-standard site selection,and insufficient garbage transfer vehicles will seriously damage the ecological environment of the area and affect the people’s happiness index.Domestic research on municipal solid waste mainly focuses on the analysis of the current situation of municipal solid waste collection and transportation,but there is less research on the site selection of municipal solid waste collection and transfer facilities.The research directions mainly include: the suitability evaluation of landfill site selection,the site selection of waste transfer station and the planning of transportation route.Waste transfer station belongs to urban public facilities.The location of urban public facilities is a complex decision-making problem,which needs to consider many factors.Aiming at the problem that it is difficult to predict the change of waste volume in the location of waste transfer station,a waste output prediction model based on urban population flow is proposed.Firstly,the correlation between the urban population flow data and the annual output of garbage in Shanghai from 2000 to 2019 is analyzed,and the correlation coefficient is calculated,and six strongly related data items are obtained.Then test the original population data to judge whether the original data items meet the conditions of the grey prediction model and whether they can be modeled according to the grey model.When the conditions are met,the grey theory is used to analyze the changes of population flow in Shanghai and predict the future population growth trend of Shanghai.Finally,the annual output of municipal solid waste and the six factors meeting the conditions are analyzed by multiple linear regression,and the annual output of municipal solid waste in Shanghai from 2020 to 2025 is predicted.After the slow growth of waste transfer stations in recent years,it will not provide a reference for Shanghai to choose waste transfer stations in the future.Aiming at the location problem of waste transfer station,firstly,the of a certain area is analyzed,and it is calculated that n waste transfer stations are needed to meet the demand.Then divide all the streets in this area according to the clustering algorithm,and find the street range of these n waste transfer stations.Secondly,check whether the N preliminary sites meet the conditions for the construction of waste transfer stations in terms of geographical location.If not,they need to be modified or deleted to further obtain a better site.Finally,according to the regional division and the selection results of better waste sites,map the geographical location and other information of all community points in the region and the better waste sites in the region into the structure of the map,and then use Dijkstra algorithm to realize the function of finding the shortest path in the region,find out the optimal transportation route in the region,and finally optimize the location results according to the transportation route to obtain the optimal location.