A simple DEM assessment procedure for gully system analysis in the Lake Manyara area, northern Tanzania
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- 作者：Michael Maerker ; Geraldine Quénéhervé ; Felix Bachofer ; Simone Mori
- 关键词：Soil erosion ; Gully erosion ; GIS ; DEM interpolation ; Terrain analysis ; Tanzania
- 刊名：Natural Hazards
- 出版年：2015
- 出版时间：November 2015
- 年：2015
- 卷：79
- 期：1-supp
- 页码：235-253
- 全文大小：8,132 KB
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Geraldine Quénéhervé (3)
Felix Bachofer (3)
Simone Mori (4)
1. Heidelberg Academy of Sciences and Humanities, Rümelinstr. 19-23, 72070, Tübingen, Germany
2. Department of Earth Sciences, University of Florence, Via La Pira 4, 50121, Florence, Italy
3. Institute of Geography, Tübingen University, Rümelinstr. 19-23, 72070, Tübingen, Germany
4. Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Droevendaalsesteeg 3, 6708, Wageningen, The Netherlands - 刊物类别：Earth and Environmental Science
- 刊物主题：Earth sciences
Hydrogeology
Geophysics and Geodesy
Geotechnical Engineering
Civil Engineering
Environmental Management - 出版者：Springer Netherlands
- ISSN：1573-0840
文摘
Gully erosion is a major threat concerning landscape degradation in large areas along the northern Tanzanian Rift valley. It is the dominant erosion process producing large parts of the sediments that are effectively conducted into the river network. The study area is located in the Lake Manyara—Makuyuni River catchment, Arusha, northern Tanzania. During fieldwork, we measured topographic data of eight gully systems close to Makuyuni Town. The main focus of this study is to assess gully erosion dynamics using improved DEMs with original resolutions of 30 and 20 m, respectively. We assessed terrain characteristics to extract information on environmental drivers. To improve the DEM, we integrated information deduced from satellite images as well as from acquired GPS field data. Topographic indices such as Stream Power Index or Transport Capacity Index were derived from the re-interpolated DEM. To evaluate gully evolution, we assessed also the longitudinal slope profiles. Finally, the gully evolution phases of each gully were classified according to the concept proposed by Kosov et al. (Eksperimental’naya geomorfologiya, vol 3. Moscow University, Moskva, pp 113–140, 1978). The re-interpolated DEMs revealed a positive response especially for the more developed gullies. We show that the extraction of information on this spatial process scale based on “low-resolution” data is feasible with little additional fieldwork and image interpretation. In fact, areas identified as having a greater risk of gully erosion have been confirmed by observations and surveys carried out in the field.