地下水空间特征自动化提取方法研究

Study on Automated Extraction of Groundwater Spatial Characteristics

本文在地下水水位栅格数据模型的基础上,根据地下水汇流方向、地下水降落漏斗以及地下分水岭的水文地质学含义,首先结合栅格数据的特点建立它们的数学模型,然后运用种子算法、数学形态学方法设计了自动化提取算法,并对所提取的结果进行了可视化表达。最后以苏锡常地区为例,通过对提取结果的分析,提出了该地区地下水开采应注意的一些问题。该方法有助于更好地认识地下水时空变化规律,为地下水资源管理提供辅助决策支持,同时也是数字化地下水研究的有益探索。

Based on the characteristics of the groundwater table raster model, this paper firstly builds up the mathematical models about the groundwater flow direction, the cone of the depression and groundwater divides according to their hydrogeological definition. And then, seed algorithm and mathematical morphology are used to extract these spatial characteristics, and also the extracted information is visualized. In the end, this paper takes Su-Xi-Chang area as a study site, analyzes the extracted and visualized spatial characteristics, and gives some suggestion on the rational groundwater exploiting. These automated extraction results could facilitate the analysis of temporal and spatial dynamics of groundwater, provides support for groundwater management, and it also could be the useful exploring for digital groundwater study.