基于DEPSO模型的土地资源优化配置研究

Optimal Allocation of Land Resources Based on DEPSO Model

以丹江流域(河南段)2008、2018年Landsat遥感影像数据为主要数据源,采用差分演化算法对研究区2028年的土地利用结构进行优化,并对优化结果进行分析验证,然后将得到的土地利用结构优化结果作为数量约束条件嵌入粒子群算法,设置基本栅格、空间集聚度、土地类型转换、地形坡度规则等多种约束条件进行粒子更新优化,构建了土地资源优化配置的DEPSO模型。研究结果表明,优化后的2028年土地利用空间格局与研究区实际相符合,且优化后的土地利用空间集聚程度增加,土地利用空间格局在总体上趋于合理;水域面积由406.61 km^(2)增长到448.07 km^(2),主要表现为丹江口库区库容扩大,其发展趋势符合丹江口水库调水规划和水源地相关政策;模型总体精度为89.54%,Kappa系数为0.8593,说明建立的模型具有良好的性能。研究结果可为研究区土地资源可持续利用、水源地保护与管理、生态环境保护提供科学依据。

Taking Landsat remote sensing image data of 2008 and 2018 in Danjiang River Basin(Henan Section)as the main data source,differential evolution algorithm was used to optimize the land use structure of the study area in 2028,and the optimization results were analyzed and verified.Then,the obtained land use structure optimization results were embedded into particle swarm optimization algorithm as quantitative constraints.The DEPSO model for optimal allocation of land resources was constructed by setting various constraints such as basic grid,spatial agglomeration degree,land type conversion and terrain slope rule.The results showed that the optimized spatial pattern of land use in 2028 was consistent with the actual situation of the study area,and the degree of spatial agglomeration of land use after optimization was increased,and the overall spatial pattern of land use tended to be reasonable.The water area was increased from 406.61 km^(2) to 448.07 km^(2),which was mainly reflected by the expansion of the storage capacity of Danjiangkou reservoir,and its development trend was in line with the water diversion planning and water source related policies of Danjiangkou reservoir.The overall accuracy of the model was 89.54%,and the Kappa coefficient was 0.8593,indicating that the established model had good performance.The research results can provide scientific basis for the sustainable utilization of land resources,water source protection and management,and ecological environment protection in the study area.