globalchange  > 气候变化事实与影响
DOI: 10.3390/ijgi8040197
WOS记录号: WOS:000467499300038
论文题名:
Automatic Detection of Potential Dam Locations in Digital Terrain Models
作者: Wimmer, Michael H.; Pfeifer, Norbert; Hollaus, Markus
通讯作者: Wimmer, Michael H.
刊名: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN: 2220-9964
出版年: 2019
卷: 8, 期:4
语种: 英语
英文关键词: dam placement ; digital terrain model ; reservoir ; flood retention ; contour lines ; water resource management
WOS关键词: CLIMATE-CHANGE ; HYDROPOWER DEVELOPMENT ; IRRIGATION ; REQUIREMENTS
WOS学科分类: Geography, Physical ; Remote Sensing
WOS研究方向: Physical Geography ; Remote Sensing
英文摘要:

Structural measures for retaining and distributing wateri.e., reservoirs, flood retention and power plantsplay a key role to protect and feed a growing world population in a rapidly changing climate. In this work, we introduce an automated method to detect potential reservoir or retention area locations in digital terrain models. In this context, a potential reservoir is a larger terrain form that can be turned into an actual reservoir by constructing a dam. Based on contour lines derived from terrain models, potential reservoirs are found within a predefined range of dam lengths, and the locally optimal ones are then extracted. Our method is to be applied in the very early stages of project planning and for area-wide potential analysis. Tests in a 100 km(2) study area bring promising results, but also show a certain sensitivity regarding terrain model quality and resolution. In total, 250-300 candidate polygons with a total volume of more than 6 million m(3) were found. In order to facilitate further processing, these are stored as a GIS vector dataset.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/133239
Appears in Collections:气候变化事实与影响

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作者单位: TU Wien, Dept Geodesy & Geoinformat, Res Grp Photogrammetry, Gusshausstr 27-29, A-1040 Vienna, Austria

Recommended Citation:
Wimmer, Michael H.,Pfeifer, Norbert,Hollaus, Markus. Automatic Detection of Potential Dam Locations in Digital Terrain Models[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2019-01-01,8(4)
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