Abstract
The frequency of debris flow events caused by severe rainstorms has increased in Korea. LiDAR provides high-resolution topographical data that can represent the land surface more effectively than other methods. This study describes the analysis of geomorphologic changes using digital surface models derived from airborne LiDAR and aerial image data acquired before and after a debris flow event in the southern part of Seoul, South Korea in July 2011. During this event, 30 houses were buried, 116 houses were damaged, and 22 human casualties were reported. Longitudinal and cross-sectional profiles of the debris flow path reconstructed from digital surface models were used to analyze debris flow behaviors such as landslide initiation, transport, erosion, and deposition. LiDAR technology integrated with GIS is a very useful tool for understanding debris flow behavior.
Highlights
INTORODUTIONDebris flows are rapidly flowing masses of water mixed with soil and gravel from landslides that are caused by typhoons or rainstorms
The frequency of debris flow events caused by severe rainstorms has increased in Korea
To minimize casualties and property damage caused by debris flows, control structures are installed across potential debris flow paths and deposition areas, as shown in Figure 2 (Miyamoto, 2002)
Summary
Debris flows are rapidly flowing masses of water mixed with soil and gravel from landslides that are caused by typhoons or rainstorms. Many researchers have investigated methods for detecting large-scale landslides and debris flow areas with these technologies for the purpose of monitoring geomorphic changes, calculating the extent of changes and assessing debris flow behavior (McKean and Roering, 2004; Du and Teng, 2007; Tsutsui et al, 2007; Schelidl et al, 2008; Bull et al, 2010; Kim et al, 2014). Because these studies examined LiDAR DEMs with relatively long intervals between acquisitions (≥5 years), some natural topographic changes were. For a more accurate analysis of debris flow path and damage, the present study incorporated quantitative analysis of digital maps, aerial images, and high resolution LiDAR DEMs to delineate geomorphic and topographic changes induced by debris flow disaster
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