基于动态差分法和小生境算法利用GIS实现土地复垦空间优化

Spatial Optimization of Land Reclamation Using GIS Based on Dynamic Difference Method and Niche Algorithm

  • 摘要: 为提升复垦区域的土壤质量和土地利用率,研究引入动态差分法和小生境算法,对土地复垦GIS空间分布优化方法进行设计与研究。首先,利用不同时间点的数字高程模型(DEM)数据,构建基于动态差分法的土地复垦区域DEM模型,以反映复垦过程中的地形变化。通过模拟自然界中物种在特定生态位内的生存和繁衍机制,计算土壤质量改善指数和植被恢复指数,并据此建立GIS空间生态优化目标函数。为实现空间分布的优化,使用网格系统将GIS空间划分为多个网格单元,并对复垦地块进行编码。在约束条件下对目标函数进行求解,最终实现GIS空间分布的综合优化。实验结果表明,应用该方法后,复垦区域的土地利用率得到了显著提高,同时土壤质量也得到了明显提升。

     

    Abstract: In order to improve the soil quality and land use efficiency in the reclamation area, the dynamic difference method and niche algorithm were introduced to design and study the spatial distribution optimization method of land reclamation GIS. Firstly, using digital elevation model(DEM) data at different time points, a DEM model of land reclamation area based on dynamic difference method was constructed to reflect the topographic changes in the process of reclamation. By simulating the survival and reproduction mechanism of species in a specific niche in nature, the soil quality improvement index and vegetation restoration index were calculated, and the GIS spatial ecological optimization objective function was established. In order to realize the optimization of spatial distribution, GIS space was divided into multiple grid units using grid system, and the reclaimed land was coded. The objective function was solved under the constraint conditions, and finally the comprehensive optimization of GIS spatial distribution was realized. The experimental results showed that the land use efficiency of the reclaimed area has been significantly improved, and the soil quality has also been significantly improved.

     

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