摘要
流域网络及其描述参数是一类重要的环境参数,其质量直接影响着各类地学模型和地学过程模拟的精度。在数据独立的DEM误差分析方法支持下,以比汇水面积(Specific catchment area,SCA)为计算对象,详细分析5种流域网络提取算法的误差空间分布特征。研究表明,不论何种算法,SCA误差主要集中于合水区域;不同算法的SCA频率分布随着SCA值的增加而趋于一致;SCA精度的提高有赖于DEM路径算法的改进,不同路经算法的组合可有效改善流域网络提取和分析的质量。
As an important parameter in various environmental models, the quality of drainage network has a serious effect on geosciences models and geo-processes modeling. Based on the data independent DEM interpretation analysis principle, this paper studied the error spatial distribution of specific catchment area （SCA） produced by five routing algorithms, including DS, RhoS, DEMON, FMFD and Dinf. Though the research, some beneficial results were got, that is ① the SCA error is distributed mainly within valley area in despite of how many routing algorithm is used to compute SCA;② the SCA frequency of selected routing algorithms is to identical with SCA increasing; ③improvement of the existed routing algorithm is a key factor for improving the quality of SCA based on grid DEM .④ combining two routing algorithms can be effectively improved drainage network and SCA from DEM.
出处
《测绘学报》
EI
CSCD
北大核心
2007年第2期224-230,共7页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金项目(40571120
40671148)
关键词
数字高程模型
流域网络
误差
空间分布
Digital Elevation Model （DEM）
drainage network
error
spatial distribution
