IMHE OpenIR  > 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 Yan1; Peng Hong2; Cui Peng3; Zhang Wanshun1; Qiao Fei4; Chen Cai'er1
Corresponding AuthorZhang, WS
2009-12-01
Source PublicationJOURNAL OF MOUNTAIN SCIENCE
ISSN1672-6316
Volume6Issue:4Pages:311-319
SubtypeArticle
AbstractDepressions 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.
KeywordDrainage Network Extraction Depression Processing Digital Elevation Model Wooden Barrel Effect Xihanshui River Basin
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1007/s11629-009-0228-y
URL查看原文
WOS Subject ExtendedEnvironmental Sciences & Ecology
Indexed BySCI
WOS KeywordDIGITAL ELEVATION MODELS ; ALGORITHM ; DIRECTION
Language英语
WOS SubjectEnvironmental Sciences
WOS IDWOS:000271272100001
Funding OrganizationNational Natural Science Foundation of China(40671025) ; Chinese Academy of Sciences(KZCX2-YW-302)
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/6032
CollectionJournal of Mountain Science _Journal of Mountain Science-2009_Vol6 No.4
山地灾害与地表过程重点实验室
Affiliation1.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
Recommended Citation
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.
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