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http://dx.doi.org/10.17820/eri.2021.8.2.079

The Interrelationship between Riparian Vegetation and Hydraulic Characteristics during the 2020 Summer Extreme Flood in the Seomjin-gang River, South Korea  

Lee, Cheolho (Department Biological Sciences and Bioengineering, Inha University)
Lee, Keonhak (Department of Geography, Seoul National University)
Kim, Hwirae (Department Biological Sciences and Bioengineering, Inha University)
Baek, Donghae (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Kim, Won (Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
Kim, Daehyun (Department of Geography, Seoul National University)
Lee, Hyunjae (Department of Water Resources, Korea Engineering Consultants Corp.)
Woo, Hyoseop (School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology)
Cho, Kang-Hyun (Department of Biological Sciences, Inha University)
Publication Information
Ecology and Resilient Infrastructure / v.8, no.2, 2021 , pp. 79-87 More about this Journal
Abstract
Because active interactions occur among vegetation, hydrology, and geomorphology in riparian systems, any changes in one of these factors can significantly affect the other two. In this study, we evaluated these interactions at four sites (two in Gajeong and two in Hahan) along the Seomjin-gang River that was substantially devastated by an extreme flood in 2020. We examined the relationship between the riparian vegetation and the hydraulic characteristics of the flood using remote sensing, hydraulic modeling, and field surveys combined. The evaluation results showed that the floods caused a record-breaking rise of up to 43.1 m above sea level at the Yeseong-bridge stage gauge station (zero elevation 27.4 m) located between the Gajeong and Hahan sites, with the shear stress being four times higher in Hahan than in Gajeong. Additionally, the water level during the flood was estimated to be a maximum of 1 m higher depending on the location in the presence of riparian plants. Furthermore, both sites underwent extensive biological damage due to the flood, with 78-80% loss in vegetation, with preferential damage observed in large willow species, compared to Quercus acutissima. The above findings imply that all plant species exhibit different vulnerabilities towards extreme floods and do not induce similar behavior towards events causing a disturbance. In conclusion, we developed strategies for effectively managing riparian trees by minimizing flood hazards that could inevitably cause damage.
Keywords
Disturbance; Flood risk; Hydraulic modeling; Remote sensing; Stream management;
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