基于ArcSWAT的漓江流域河网水系自动提取对比研究  

Contrast Research on Automatic Extraction of River Network Drainage in Lijiang River Basin Based on Arc SWAT

作　　者：何文[1,2] 卢远[2] 余玲[3] 

机构地区：[1]广西壮族自治区中国科学院广西植物研究所,广西桂林541006 [2]北部湾环境演变与资源利用教育部重点实验室,广西南宁530001 [3]西南大学地理科学学院,重庆400700

出　　处：《地理空间信息》2015年第6期148-149,153,共3页Geospatial Information

基　　金：国家科技支撑计划资助项目(2012BAC16B01);教育部科学技术研究重点资助项目(210167)

摘　　要：流域水系提取是山洪预报、分布式水文模拟等研究的基础和关键。基于SRTM_V4 DEM和ASTER GDEM两种数字高程数据,运用ArcSWAT对漓江流域水系进行提取,用河网套合差方式对提取结果进行评价。结果表明,通过引入该地区矢量图层进行胁迫的方法所提取的河网水系精度最高;在无辅助信息胁迫条件下SRTM_V4 DEM数据对地形的表达比较准确,但通过修正后的ASTER GDEM数据更适用于流域水系提取。Automatic extraction of river network from DEM is a fundamental procedure for flash flood forecast and distributed hydrological simulations. Based on the two digital elevation data of SRTM DEM(version 4) and ASTER GDEM, the drainage networks of Lijiang River basin were extracted by the terrain module of Arc SWAT. Using the digital river network matching method to evaluate the extraction results, the researches show that, in order to gain the best precision for extracting the digital river network, a real river channel vector layer should be introduced as a forcing factor at first. Secondly, under the condition of no auxiliary information as the intimidation, the SRTM_V4 DEM data description for the terrain is more accurate, but the revised ASTER GDEM data is more suitable for digital drainage network extraction.

关 键 词：河网提取 漓江流域 对比研究 

分 类 号：P208[天文地球—地图制图学与地理信息工程]