Anthropogenic Disturbance Estimation Based on Surface Elevation Change Using DEM
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- SUGIMOTO Kenji
- Graduate School of Environmental Studies, Nagoya University
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- KUROIWA Fumi
- Graduate School of Environmental Studies, Nagoya University
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- OKUOKA Keijiro
- Graduate School of Environmental Studies, Nagoya University
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- TANIKAWA Hiroki
- Graduate School of Environmental Studies, Nagoya University
Bibliographic Information
- Other Title
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- DEMを用いた標高変化に基づく人為的な土砂移動量の推計
- DEM オ モチイタ ヒョウコウ ヘンカ ニ モトズク ジンイテキ ナ ドシャ イドウリョウ ノ スイケイ
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Description
For analyzing the relationship with natural environment and socio-economy that characterized huge materials flow, it is important to understand the dynamics of soil and stone. However, quantitative grasp of “hidden material flow” is not sufficiency performed since it is out of material calculation process. This study presents and discusses the effectiveness of a method to estimate anthropogenic disturbance of soil and sand, based on surface elevation change over time using Digital Elevation Model (DEM). First, a case study was conducted focusing on an area where a large-scale extraction of soil and sand has occurred in Misaki-cho, Osaka Prefecture. In the case study, the viability to estimate the changes of soil movement with GIS by creating raster surface model from DEM based on counter map, aerial photo and satellite image was confirmed. As a result of the estimation sediment movement do to the volume changes as from 75.81 to 81.68 million ton between before and after soil excavation. The differences between estimates and statistics are due to the vertical accuracy of DEM, conversion rate to rock products and natural processes. Despite the estimate error induced by the vertical accuracy, satellite DEM is useful to grasp anthropogenic disturbance in data limited area.
Journal
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- ENVIRONMENTAL SCIENCE
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ENVIRONMENTAL SCIENCE 28 (2), 153-161, 2015
SOCIETY OF ENVIRONMENTAL SCIENCE, JAPAN
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Details 詳細情報について
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- CRID
- 1390001204423862784
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- NII Article ID
- 130005147035
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- NII Book ID
- AN10165252
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- ISSN
- 18845029
- 09150048
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- NDL BIB ID
- 026298693
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL Search
- CiNii Articles
- KAKEN
- Crossref
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- Abstract License Flag
- Disallowed