基于MOP-CA整合模型的土地利用优化研究
Optimal Allocation of Land Resources Based on MOP-CA
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摘要: 针对当前土地利用优化配置模型存在的不足,提出了基于多目标线性规划(multi-object planning,MOP)与约束元胞自动机(cellular automata,CA)的土地利用优化配置模型。以湖北省嘉鱼县为例,进行了模型的优化运算,并将结果与其他模型进行比较,实现了土地资源数量结构优化与空间布局优化的统一。Abstract: Land resources optimal allocation is one of the most challenging issues in land science field.Houlcuer the current optimal land use models have many deficiencies.We propose the land use optimal allocation model based on multi-object planning(MOP) and cellular automata(CA).Furthermore,Jiayu City was taken as an example to evaluate the model and to compare it with other models.The result shows that the integrated model based on MOP-CA has a better simulating effect.This integrated model realizs the unification of the quantitative structure and the spatial configuration optimal.