SNU Big Data Knowledge Information Platform
Full Menu
AI
Your Browsing History
43 More
loading...
Report registration
Paper List
수계 상류 관측 수위자료를 이용한 하류 홍수위 예측기법
Author
김상문, 최병웅, 이남주
Journal Title
Ecology and Resilient Infrastructure
Publication Year
2020
Topics
Summary
This study proposes a method for predicting downstream water levels during heavy rainfall using water level observation data from the Seom River experimental watershed. The results of applying multiple regression and artificial neural network models showed that the artificial neural network model had higher prediction accuracy. This is expected to be utilized in establishing a river flood forecasting system in the future.
Related Content
LikeSNU analyzes your query semantically to recommend related resources.
-
Hydrological data driven modelling : a case study approach
-
Computer-assisted floodplain hydrology and hydraulics
-
Stochastic and statistical methods in hydrology and environmental engineering.
-
Hydrological modelling and the water cycle : coupling the atmospheric and hydrological models
-
Extreme hydrological events : new concepts for security
-
Numerical modelling of ice floods in the Ning-Meng reach of the Yellow River basin
-
River restoration : managing the uncertainty in restoring physical habitat
-
Flood warning, forecasting and emergency response
-
Deep learning for hydrometerology and environmental science
-
강우예보의 시공간 특성을 고려한 홍수예보모형의 개발 : 수치지형자료를 이용한 소유역 홍수 유출 예측 : 연구보고서 =
-
Coastlines, structures, and breakwaters 2005 : proceedings of the international conference on Coastlines, structures and breakwaters, 2005, organized on behalf of the Maritime Board of the Institution of Civil Engineers and held in London, UK, on 20-22 April 2005
-
Flood modeling, prediction, and mitigation
-
Entropy theory in hydrologic science and engineering
-
강수량 예보 : 컴퓨터 예측 자료 해석과 보정 가이드
-
Hydrologic modeling for flow forecasting and climate studies in large drainage basins
-
Framework for dynamic modelling of urban floods at different topographical resolutions
-
Trends and Advances in Information Systems and Technologies : Volume 3
-
Rainfall-runoff modelling : the primer
-
Improved method to predict multiphase waterflood performance for constant rates or pressures
-
Flood risk assessment and management : how to specify hydrological loads, their consequences and uncertainties
Previous
Next
Previous
Next
Previous
Next