Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Seung Beom Seo"'
Publikováno v:
Journal of Flood Risk Management, Vol 17, Iss 2, Pp n/a-n/a (2024)
Abstract Adaptation policies are being increasingly implemented to cope with the increased frequency of natural disasters due to climate change. However, it is crucial to quantitatively evaluate the mitigating effects of these policies, as this allow
Externí odkaz:
https://doaj.org/article/78aed46b60b8401aa24bfa91d939c37f
Publikováno v:
Water, Vol 15, Iss 22, p 3908 (2023)
This study examines whether the fluvial flood defense system of Korea is appropriate for risk reduction. Using spatial socioeconomic data and remote sensing, we estimated the potential economic damage that can be caused by the flooding of local strea
Externí odkaz:
https://doaj.org/article/950ba7b007f14f8fbb472e8096fe979d
Publikováno v:
Hydrology Research, Vol 51, Iss 3, Pp 392-405 (2020)
This study aims to provide a practically efficient approach for determining the most efficient joint operation rule for two reservoirs connected by a waterway tunnel. For this purpose, the connecting tunnel's effect was assessed and three heuristic j
Externí odkaz:
https://doaj.org/article/9a955c960ba94d4aa96b8bd211c58bf4
Publikováno v:
Water, Vol 7, Iss 5, Pp 2435-2450 (2015)
Climate change information is essential for water resources management planning, and the majority of research available uses the global circulation model (GCM) data to project future water balance. Despite the fact that the results of various GCMs ar
Externí odkaz:
https://doaj.org/article/40550ba3cad043a0a785bb911bc8e82f
Autor:
Jang Hyun Sung, Seung Beom Seo
Publikováno v:
Water, Vol 10, Iss 11, p 1521 (2018)
South Korea endured extreme drought through 2015 and 2016. This hydrological drought led to a socio-economic drought which is a restriction on stream water use. Previous studies have explored streamflow drought using a threshold level based on flow d
Externí odkaz:
https://doaj.org/article/1c6c65b5a6e14abb9d1bce6402d8d4ee
Publikováno v:
Water, Vol 10, Iss 7, p 875 (2018)
Statistical models for hydrologic simulation are a common choice among researchers particularly when catchment information is limited. In this study, we adopt a new statistical approach, namely Bayesian regression with multivariate linear spline (BML
Externí odkaz:
https://doaj.org/article/68c7d66c4e3d4d469a49349a2f8d87af
Autor:
Seong Uk Son, Soojin Jang, Jaewoo Lim, Seung Beom Seo, Taejoon Kang, Juyeon Jung, Seo Yeong Oh, Sun-Woo Yoon, Dongeun Yong, Jaejong Lee, Eun-Kyung Lim
Publikováno v:
ACS Applied Materials & Interfaces. 15:7759-7766
Publikováno v:
Journal of Korea Society of Waste Management. 39:324-332
Publikováno v:
IEEE Internet of Things Journal. 9:13511-13523
Publikováno v:
Water Resources Management. 36:3575-3590
In this study, the zone-based hedging rule, which is the main operating policy adopted from multipurpose reservoirs in Korea is adjusted to reflect the multi-year droughts caused by climate change. Annual synthetic inflow series with different magnit