Spatial Optimization For Permanent Basic Farmland Delimitation Around Towns

Since the implementation of the land system reform in New China,the land system has been constantly innovating and the economic and social progress has been changing rapidly.With the rapid development of urbanization and the continuous improvement of industrialization level,the protection of cultivated land resources is the most important capital for human survival.People lack a more profound analysis and understanding of the difficulty of changing the direction of land use,resulting in the inability to protect arable land and pay attention to the huge profits brought by the finance of the immediate land.The scientific and effective demarcation of permanent basic farmland is not only to meet the needs of material life,but also the guarantee of national food security and the maintenance of social stability.In this case,the Ministry of land and resources(now the Ministry of natural resources)issued a notice on the practical work on the implementation of the permanent basic farmland for the106 key cities(the Department of land capital [2015] 14)in detail: on the basis of the existing work,the high quality and the high degree of centralization along the border and the intersection of the cities and towns are higher.The arable land is given priority to the permanent basic farmland in the region.The permanent basic farmland within the surrounding area of cities and towns is delimited by the development boundary of the city and the red line of the province's ecological protection.The delimitation of permanent basic farmland is the overall planning and adjustment of the utilization structure of cultivated land in the region.The core of the optimal allocation of cultivated land resources is the optimization of cultivated land utilization structure,including the number of standards and space optimization.The decision making problem of land use spatial optimization is a common and complex problem in intelligent GIS application.Because of the complexity and diversity of land use map information,the study will involve a large number of different combinations,so such problems need to be solved by new theoretical methods.In view of the existing traditional spatial optimization models,such as linear programming,grey system,multi-objective and landscape ecology,the number of plowing spots and the spatial utilization structure of the cultivated land can not be achieved in both theory and practice.Based on the research of new intelligent spatialoptimization algorithms,such as genetic algorithm and cellular automata theory model,the theory of particle swarm optimization(PSO)is used to construct the index evaluation system based on the analytic hierarchy process(AHP),because of its strong spatial optimization ability and spatial cross domain flight search characteristics.On this basis,the particle swarm optimization(PSO)algorithm is constructed to optimize the spatial optimization system for the permanent basic farmland surrounding the town,which effectively realizes the combination of the number and space of the permanent basic farmland around the town.In this study,the problems of permanent basic farmland classification,analytic hierarchy process(AHP),particle swarm optimization(PSO)and spatial optimization decision are introduced.Then,based on the urban spatial planning,natural conditions,spatial distribution and location constraints,the particle swarm optimization(PSO)algorithm is applied to the space optimization decision by GIS technology.The process of the implementation of the law is described in detail.Finally,taking the present situation of land use around Nanchang County town as the research object,the system is verified by an example.The experiment shows that the spatial optimization system of PSO has high accuracy and strong convergence speed,and it is an effective spatial optimization decision system.