融合遗传算法和GIS的土地复垦空间优化

Land reclamation spatial optimization based on GA and GIS

土地复垦空间优化是优化复垦区用地的数量分布与空间分布,是复垦工作的重要内容。为了保证土地复垦工作质量,提出融合遗传算法和GIS的土地复垦空间优化方法。采用实时动态差分法获取土地空间GIS数据,度量土地破坏程度,判定当前土地是否满足复垦条件。利用遗传算法和GIS融合技术划分土地复垦空间区域,在相关条件的约束下,实现土地复垦空间优化。实验结果表明:所提方法优化后土地的均匀度和生态环境质量更高,土地实际经济效益率高达45.2%,证明该方法具有良好的土地复垦空间优化效果。

Spatial optimization of land reclamation is to optimize the quantity distribution and spatial distribution of land in the reclamation area,which is an important part of the reclamation work.In order to ensure the quality of land reclamation,a land reclamation spatial optimization method based on GA(genetic algorithm)and GIS(geographic information system)is proposed.Real⁃time dynamic difference method is adopted to obtain land spatial GIS data,measure the extent of land damage,and determine whether the current land meets the reclamation conditions.The fusion technology of GA and GIS is used to divide the land reclamation space,so as to optimize the land reclamation space under the constraints of relevant conditions.The experimental results show that the land evenness and ecological environment quality are higher after optimization by the proposed method,and the actual economic benefit rate of land is up to 45.2%,which prove that the method has a good land reclamation space optimization effect.