A new treatment of depression for drainage network extraction based on DEM

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2009 > Vol6 No.4

	A new treatment of depression for drainage network extraction based on DEM
	Wang Yan 1; Peng Hong 2; Cui Peng3 ; Zhang Wanshun 1; Qiao Fei 4; Chen Cai'er 1
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2009-12-01
卷号	6 期号:4 页码:311-319
关键词	Drainage network extraction Depression processing Digital elevation model Wooden barrel effect Xihanshui River basin
ISSN号	1672-6316
通讯作者	Zhang, WS
英文摘要	Depressions in landscapes function as buffers for water and sediment. A landscape with depressions has less runoff, less erosion and more sedimentation than that without depressions. Sinks in digital elevation models (DEMs) can be considered the real features that represent depressions in actual landscapes or spurious features that result from errors in DEM creation. In many hydrological and erosion models, all sinks are considered as spurious features and, as a result, these models do not deal with the sinks that represent real depressions. Consequently, the surface runoff and erosion are overestimated due to removing the depressions. Aiming at this problem, this paper presents a new method, which deal with the sinks that represent real depressions. The drainage network is extracted without changing the original DEM. The method includes four steps: detecting pits, detecting depressions, merging depressions, and extracting drainage network. Because the elevations of grid cells are not changed, the method can also avoid producing new flat areas, which are always produced by the conventional filling methods. The proposed method was applied to the Xihanshui River basin, the upper reach of the Jialingjiang River basin, China, to automatically extract the drainage network based on DEM. The extracted drainage network agrees well with the reality and can be used for further hydrologic analysis and erosion estimation.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
类目[WOS]	Environmental Sciences
研究领域[WOS]	Environmental Sciences & Ecology
关键词[WOS]	DIGITAL ELEVATION MODELS ; ALGORITHM ; DIRECTION
收录类别	SCI
原文出处	http://link.springer.com/article/10.1007/s11629-009-0228-y
语种	英语
WOS记录号	WOS:000271272100001
公开日期	2013-08-14
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/6032]
专题	成都山地灾害与环境研究所_Journal of Mountain Science _Journal of Mountain Science-2009_Vol6 No.4 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
作者单位	1.Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China 2.Wuhan Univ, Coll Water Resources & Hydropower Engn, Wuhan 430072, Peoples R China 3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 4.Chinese Acad Environm Sci, Beijing 100012, Peoples R China
推荐引用方式 GB/T 7714	Wang Yan,Peng Hong,Cui Peng,et al. A new treatment of depression for drainage network extraction based on DEM[J]. JOURNAL OF MOUNTAIN SCIENCE,2009,6(4):311-319.
APA	Wang Yan,Peng Hong,Cui Peng,Zhang Wanshun,Qiao Fei,&Chen Cai'er.(2009).A new treatment of depression for drainage network extraction based on DEM.JOURNAL OF MOUNTAIN SCIENCE,6(4),311-319.
MLA	Wang Yan,et al."A new treatment of depression for drainage network extraction based on DEM".JOURNAL OF MOUNTAIN SCIENCE 6.4(2009):311-319.