Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Jongso Lee"'
Publikováno v:
Journal of Flood Risk Management, Vol 15, Iss 1, Pp n/a-n/a (2022)
Abstract Owing to climate change, torrential rains and typhoons have become more frequent. However, to cope with this threat, conventional flood management suffers from limitations and difficulties because of the practice of uniform flood prevention
Externí odkaz:
https://doaj.org/article/09367fd6123c4389b124bc790b5f8f3a
Publikováno v:
Water, Vol 12, Iss 12, p 3461 (2020)
Reliable runoff series is sine qua non for flood or drought analysis as well as for water resources management and planning. Since observed hydrological measurement such as runoff can sometimes show abnormalities, data quality control is necessary. G
Externí odkaz:
https://doaj.org/article/df1dda4979cb427c8e8658a022aedf26
Publikováno v:
Water, Vol 11, Iss 4, p 850 (2019)
The purpose of this study is to reduce the uncertainty in the generation of rainfall data and runoff simulations. We propose a blending technique using a rainfall ensemble and runoff simulation. To create rainfall ensembles, the probabilistic perturb
Externí odkaz:
https://doaj.org/article/4ee75e2a2f9a428b97addc5407419ac8
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
In recent years, with the increasing need for improving the accuracy of hydrometeorological data, interests in rain-radar are also increasing. Accordingly, with high spatiotemporal resolution of rain-radar rainfall data and increasing accumulated dat
Externí odkaz:
https://doaj.org/article/984ac6765a7c4f91bc7a2cbb37989fd2
Publikováno v:
Water, Vol 10, Iss 5, p 614 (2018)
The objective function is usually used for verification of the optimization process between observed and simulated flows for the parameter estimation of rainfall–runoff model. However, it does not focus on peak flow and on representative parameter
Externí odkaz:
https://doaj.org/article/14b4a1bd4dd549f5b5a50356c4646070
Publikováno v:
Advances in Meteorology, Vol 2015 (2015)
The aim of this study is to identify and evaluate chaotic behavior in hydro-meteorological processes. This study poses the two hypotheses to identify chaotic behavior of the processes. First, assume that the input data is the significant factor to pr
Externí odkaz:
https://doaj.org/article/796e564f16f4478e8a3c254196b49bb5
Publikováno v:
Advances in Meteorology, Vol 2014 (2014)
This study establishes a methodology for the application of downscaled GCM data in a mountainous area having large spatial variations of rainfall and attempts to estimate the change of rainfall characteristics in the future under climate change. The
Externí odkaz:
https://doaj.org/article/b8e8d0dbb8504f1eae5713340ff74653
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 35:549-560
Identifying hydrological drought in reservoirs is a significant challenge in water resource management. In South Korea, drought in reservoirs has historically been identified and managed through measuring storage amount. However, drought identificati
Publikováno v:
Journal of Flood Risk Management, Vol 15, Iss 1, Pp n/a-n/a (2022)
Owing to climate change, torrential rains and typhoons have become more frequent. However, to cope with this threat, conventional flood management suffers from limitations and difficulties because of the practice of uniform flood prevention measures
Improvement of Regional Clustering Using Flood Control Characteristics and t-SNE of Machine Learning
Publikováno v:
Journal of the Korean Society of Hazard Mitigation. 20:247-257
The aim of this study was to perform clear clustering according to regional flood control characteristics in order to promote efficient and collective flood control management, which requires structural and non-structural measures to proactively prev