基于高精度DEM的水系空间图谱提取、分级及可视化方法研究

Visualizing water system spatial mapping by high-resolution DEM

  • 摘要: 河湖水系空间图谱建设对于优化水资源配置和防洪减灾等至关重要.本研究基于高精度数字高程模型,提出了水系动态提取、空间校核、集水分区划分、编码及水系图谱动态生成等方法.成功构建了中国集水面积>10 km2的水系空间图谱信息本底库,细化集水分区至四、五、六级并建立了水系与集水分区的空间关系模型,为流域多尺度水文过程分析提供支持;通过统一符号规范,实现了水系概化图的自动化生成与可视化展示;提出了包含7个指标的评价水系自然特征矩阵,并开发了综合评定算法,为水系特征的科学化评价奠定了基础.本研究显著提高了水系数据精度,丰富了小流域空间信息,为水资源规划与精细化管理提供了有力支持,并有利于推动水利信息化建设.

     

    Abstract: Construction of spatial maps for water systems is essential to maintain ecological balance in the water cycle, to optimize water resource allocation, and to enhance flood control.In this study spatial information, remote sensing, and computer technologies were utilized, along with high-precision DEM and remote sensing data, to develop methods for dynamic water system extraction, spatial verification, catchment division, coding, and map generation. A national database for spatial maps of water systems with drainage areas larger than 10 km2 was established. Catchment divisions are refined to the fourth, fifth, and sixth levels, spatial relationships are modelled, to support multi-scale hydrological analysis. Automated generation of schematic maps and multi-level visualization were achieved by standardized symbology. A seven-indicator evaluation matrix was used to assess water system characteristics. This improved data accuracy, enriched small watershed information, and provided strong support for water resource planning and management, to contribute to the development of water management informatization.

     

/

返回文章
返回