基于蚁群优化算法的城市生态用地空间规划模型

发布时间：2019-06-18 08:22

【摘要】：城市生态用地规划是城市生态系统保护的重要基础和前提。针对传统空间规划方法的不足,提出基于蚁群优化算法的城市生态用地空间规划模型。研究对蚁群优化算法的空间禁忌策略、选择策略进行改进,考虑了城市生态用地的生态效益和空间集约性,在规划目标函数中引入生态适宜性、空间紧凑度和最邻近距离指数,并设计最邻近距离指数的栅格计算方法。以广州市为例,分别模拟城市生态用地占广州市面积15%,30%和50%情景下的生态用地规划方案,取得了较好的效果。研究表明:基于蚁群优化算法的城市生态用地空间规划模型能够合理的对城市生态用地的空间布局进行配置,明显提高了城市生态用地生态效益和空间集约性。
[Abstract]:Urban ecological land use planning is an important basis and premise of urban ecosystem protection. Aiming at the shortcomings of traditional spatial planning methods, a spatial planning model of urban ecological land based on ant colony optimization algorithm is proposed. The spatial taboo strategy and selection strategy of ant colony optimization algorithm are improved, and the ecological benefit and spatial intensity of urban ecological land are taken into account. Ecological suitability, spatial compactness and nearest neighbor distance index are introduced into the planning objective function, and the grid calculation method of nearest neighbor distance index is designed. Taking Guangzhou as an example, the planning scheme of urban ecological land accounting for 15%, 30% and 50% of Guangzhou's area has been simulated respectively, and good results have been obtained. The results show that the spatial planning model of urban ecological land based on ant colony optimization algorithm can reasonably allocate the spatial layout of urban ecological land, and obviously improve the ecological benefit and spatial intensification of urban ecological land.
【作者单位】：河南大学环境与规划学院;黄河中下游数字地理技术教育部重点实验室;中山大学地理科学与规划学院;安徽理工大学测绘学院;
【基金】：国家自然科学基金青年项目(41401457);国家自然科学基金重点项目(41431178) 国家科技支撑计划项目(2013BAC05B01) 河南省高等学校重点科研项目计划(15A170003)资助~~
【分类号】：F299.23

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