Sustainable Land Use Optimization Model And Application Analysis Based On NSGA-Ⅱ Algorithm

Land resources are a non-renewable resource that is indispensable for human survival,and serves as the fundamental foundation for human production and livelihood.China’s land resources are relatively scarce,while the long-term unreasonable land use structure and extensive land use patterns have resulted in numerous social and environmental issues such as high-speed but low-quality production and construction,as well as imbalanced regional development.Therefore,investigating the optimization model and methodology of land resource allocation holds critical significance and value in maintaining a complex balance among economic development,environmental protection,efficient resource utilization,and social equity,and achieving sustainable land resource utilization.In addition,with the progress of information technology,for the multi-objective,multi-constrained and non-linear characteristics of the land use optimization problem,the biological intelligence algorithm has gradually become an important approach to addressing this problem.Therefore,this thesis takes Yunlong District of Xuzhou City as the research object and analyzes the spatial and temporal land use change characteristics of the region over the years by using land cover data,geographic information data and socio-economic statistics,and constructs the NSGA-Ⅱ and FLUS coupled model and the NSGA-Ⅱ-based CoMOLA model for the multi-objective land use optimization configuration of the study area,respectively.The main work and research results of the thesis are as follows:(1)The spatial and temporal land use change characteristics of Yunlong District over the years were analyzed.Based on the four phases of land use data of Yunlong District in 2005,2010,2015 and 2020,the structural change characteristics,dynamic attitude and transfer matrix of land use in Yunlong District were calculated and analyzed,and the characteristics of land development,the general change trend of land use and the characteristics of interconversion between land classes in the area were summarized.(2)This study presents a coupled model of NSGA-Ⅱ and FLUS for optimizing the future multi-scenario land use in Yunlong District.Firstly,by leveraging the spatiotemporal characteristics of land use in Yunlong District and relevant data,we constructed economic,ecological,and social benefit models,and developed four distinct development scenarios,including economic priority development,ecological priority development,free development,and balanced development.Subsequently,we designed and developed a software program for multi-objective land use structure optimization control named "NSGA-Ⅱ-based land use optimization software" based on the principles of the NSGA-Ⅱ algorithm.The software was then utilized in conjunction with a Markov chain model to optimize the quantity structure of land use in Yunlong District for the year 2035,and the resultant land use target class quantity was incorporated into the FLUS model.Finally,based on the FLUS model,we achieved spatial optimization of land use for the four development scenarios in Yunlong District in 2035 and conducted an analysis of the optimization results for each scenario.(3)A CoMOLA model based on NSGA-Ⅱ was constructed to realize the multiobjective land use spatial optimization allocation of Yunlong District.According to the research needs,area ratio and land class conversion constraints and parameters related to NSGA-Ⅱ algorithm are set,meanwhile,based on R language,the model of maximizing spatial compactness,maximizing economic benefits and maximizing ecological benefits is constructed as the objective function model,and the initialization operator is improved and the CoMOLA model is run to realize the multiobjective land use spatial optimization allocation of Yunlong District in 2035.