摘要
针对目前河网分级算法不能有效确定主次关系的问题,该文在数字高程模型(DEM)分析的基础上,提出一种基于汇流累积量的河网分级算法。首先,对矢量化的河网添加汇流累积量属性,并在其基础上构建树状结构的河网拓扑关系;然后从流域的出水口开始,逆流而上利用河网主干提取算法对河网逐层遍历提取主干;最后根据每一层级的主干提取结果对河网分级。实验结果表明,本文提出的河网分级算法能够较好地确定河网的主干,反映河网中河段的层次关系,且与分级后的山脊线网络衔接良好。
In view of the problem that the hierarchical algorithm of the river network classification can not effectively determine the main and secondary relations,this paper proposes a classification algorithm on flow accumulation to solve above problems.Firstly,this algorithm builds the topological relationship of tree structure on vector stream network with flow accumulation attribute;then,starting from the basin outlet,it extract the main stream by the extraction algorithm which searches the main stream from low to high;finally,according to the extraction result,it identifies the level of stream network.The experimental showed that this method could determine the main stream and react the hierarchy relationship of stream network,and classification of network linked up well with the ridge line network.
作者
黄萌萌
徐柱
梁启学
李灿
刘明
HUANG Mengmeng;XU Zhu;LIANG Qixue;LI Can;LIUMing(Chongqing Land Resources and Housing Survey and Planning Institute,Chongqing 400020,China;Chongqing Xinrong Land and Housing Survey Technology Institute,Chongqing 400020,China;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China)
出处
《测绘科学》
CSCD
北大核心
2018年第11期92-96,117,共6页
Science of Surveying and Mapping
关键词
DEM分析
汇流累积量
河网分级
河网主干提取
DEM analysis
flow accumulation
stream order
main stream network extraction