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Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river
期刊论文
, 2020, 卷号: 142
作者:
Phan T.-T.-H.
;
Nguyen X.H.
收藏
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浏览/下载:22/0
  |  
提交时间:2020/07/28
Autoregressive moving average model
Cost effectiveness
Disaster prevention
Forecasting
Learning algorithms
Water levels
Water resources
Auto-regressive integrated moving average
Computational time
Cost-effective solutions
Linear and nonlinear models
Physically based models
Statistical machine learning
Time series forecasting
Water level forecasting
Machine learning
data set
flood forecasting
forecasting method
hydrological modeling
machine learning
numerical model
performance assessment
river water
water level
Hanoi
Red River [Asia]
Viet Nam
A new criterion for the evaluation of the velocity field for rainfall-runoff modelling using a shallow-water model
期刊论文
, 2020, 卷号: 140
作者:
Taccone F.
;
Antoine G.
;
Delestre O.
;
Goutal N.
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浏览/下载:25/0
  |  
提交时间:2020/07/28
Equations of motion
Errors
Friction
Rain
Runoff
Velocity distribution
Watersheds
2D shallow water equations
Hydrographic networks
Mass conservation equations
Mountainous environment
Numerical resolution
Physically based models
Rainfall - Runoff modelling
Shallow water model
Velocity
accuracy assessment
bottom friction
elevation
error analysis
flow velocity
hydrograph
rainfall-runoff modeling
shallow-water equation
spatial resolution
water depth
A physically-based modelling framework for operational forecasting of river ice breakup
期刊论文
, 2020, 卷号: 139
作者:
Rokaya P.
;
Morales-Marin L.
;
Lindenschmidt K.-E.
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浏览/下载:18/0
  |  
提交时间:2020/07/28
Catchments
Floods
Forecasting
Rivers
Runoff
Water management
Cold regions
Flood risks
Hydroclimatic
Northern Hemispheres
Operational forecasting
Physically based models
Physically-based Modelling
River ice
Ice
catchment
cold region
extreme event
flood
forecasting method
glacial hydrology
ice breakup
Northern Hemisphere
risk assessment
water management
water temperature
Alberta
Athabasca River
Canada