scholarly journals The Applicability of Real Time Flood Forecasting Model: A Case Study in Thailand

1996 ◽  
Vol 40 ◽  
pp. 139-144
Author(s):  
Uruya Weesakul ◽  
Chaisak Sripadungtham
Keyword(s):  
Real Time ◽  
Flood Forecasting ◽  
Forecasting Model

Real-Time Flood Forecasting System: Case Study of Hsia-Yun Watershed, Taiwan

2016 ◽  
Vol 21 (4) ◽  
pp. 05015031 ◽  
Author(s):  
Jen-Kuo Huang ◽  
Ya-Hsin Chan ◽  
Kwan Tun Lee
Keyword(s):  
Real Time ◽  
Flood Forecasting ◽  
Forecasting System

scholarly journals A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach

2017 ◽  
Vol 88 ◽  
pp. 151-167 ◽  
Author(s):  
Xingya Xu ◽  
Xuesong Zhang ◽  
Hongwei Fang ◽  
Ruixun Lai ◽  
Yuefeng Zhang ◽  
...  
Keyword(s):  
Particle Filter ◽  
Real Time ◽  
Flood Forecasting ◽  
Forecasting Model ◽  
Model Based ◽  
Filter Approach

scholarly journals Case Study: A Real-Time Flood Forecasting System with Predictive Uncertainty Estimation for the Godavari River, India

Water ◽  
2016 ◽  
Vol 8 (10) ◽  
pp. 463 ◽  
Author(s):  
Silvia Barbetta ◽  
Gabriele Coccia ◽  
Tommaso Moramarco ◽  
Ezio Todini
Keyword(s):  
Real Time ◽  
Flood Forecasting ◽  
Uncertainty Estimation ◽  
Predictive Uncertainty ◽  
Godavari River ◽  
Forecasting System

The data-driven approach as an operational real-time flood forecasting model

2011 ◽  
Vol 26 (19) ◽  
pp. 2878-2893 ◽  
Author(s):  
Phuoc Khac-Tien Nguyen ◽  
Lloyd Hock-Chye Chua
Keyword(s):  
Real Time ◽  
Flood Forecasting ◽  
Data Driven ◽  
Forecasting Model ◽  
Data Driven Approach

scholarly journals Flood Forecasting with Uncertainty Using a Fully Automated Flood Model Chain: a Case Study for the City of Kulmbach

10.29007/jb27 ◽  
2018 ◽  
Author(s):  
Md Nazmul Azim Beg ◽  
Jorge Leandro ◽  
Punit Bhola ◽  
Iris Konnerth ◽  
Kanwal Amin ◽  
...  
Keyword(s):  
Real Time ◽  
Hydrological Model ◽  
Flood Forecasting ◽  
Flood Forecast ◽  
The Public ◽  
Uncertainty Sources ◽  
Flood Model ◽  
The City ◽  
Model Chain

Real time flood forecasting can help authorities in providing reliable warnings to the public. This process is, however, non-deterministic such that uncertainty sources need to be accounted before issuing forecasts. In the FloodEvac project, we have developed a tool which takes as inputs rainfall forecasts and links a hydrological with a hydraulic model for producing flood forecasts. The tool is able to handle calibration/validation of the hydrological model (LARSIM) and produces real-time flood forecast with associated uncertainty of flood discharges and flood extents. In this case study, we focus on the linkage with the hydrological model and on the real-time discharge forecasts generated.

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