Bristol Avon Flood Forecasting Model Experiences and Lessons

2011 ◽  
pp. 1-16
Author(s):  
Dale Murray
Keyword(s):  
Flood Forecasting ◽  
Forecasting Model

scholarly journals Sensitivity and Interaction Analysis Based on Sobol’ Method and Its Application in a Distributed Flood Forecasting Model

Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 2924-2951 ◽  
Author(s):  
Hui Wan ◽  
Jun Xia ◽  
Liping Zhang ◽  
Dunxian She ◽  
Yang Xiao ◽  
...  
Keyword(s):  
Interaction Analysis ◽  
Flood Forecasting ◽  
Forecasting Model

Transferability of a neuro-fuzzy river ice jam flood forecasting model

2007 ◽  
Vol 48 (3) ◽  
pp. 188-201 ◽  
Author(s):  
C. Mahabir ◽  
F.E. Hicks ◽  
A. Robinson Fayek
Keyword(s):  
Flood Forecasting ◽  
River Ice ◽  
Forecasting Model ◽  
Ice Jam ◽  
Neuro Fuzzy

Automatic Calibration of Conceptual Rainfall-Runoff Models

2013 ◽  
Vol 405-408 ◽  
pp. 2185-2189 ◽  
Author(s):  
Chao Zhang ◽  
Ying Ying Sun
Keyword(s):  
Particle Swarm Optimization ◽  
Historical Data ◽  
Flood Forecasting ◽  
Parameters Optimization ◽  
Forecasting Model ◽  
Automatic Calibration ◽  
Rainfall Runoff ◽  
Objective Functions ◽  
Swarm Optimization ◽  
River Watershed

The Particle Swarm Optimization (PSO) method was used to calibrate the Xinanjiang (XAJ) conceptual rainfall-runoff flood forecasting model, using a 7-year record of historical data of Yandu river watershed. Based on results of calibration runs using different objective functions, it is concluded that parameters optimization has a certain relationship with the choice of objective functions and the results vary with different functions. The simulation and prediction results were reasonable, as PSO method was used in XAJ model with observed data of Yandu river, combined with layer-debugging theory of Zhao Ren-jun.

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

Uncertainty Analysis of Flood Forecasting in River Channel

2012 ◽  
Vol 550-553 ◽  
pp. 2489-2492
Author(s):  
Qun Hao ◽  
Ying Na Sun ◽  
Ning Jiang
Keyword(s):  
Uncertainty Analysis ◽  
Normal Distribution ◽  
Flood Control ◽  
Random Variable ◽  
Flood Forecasting ◽  
River Channel ◽  
Statistical Characteristics ◽  
Forecasting Model ◽  
Forward Algorithm ◽  
Linear Characteristic

In this paper, the stochastic differential equations theory was used to analyze the uncertainty of flood forecasting in river channel based on the forward algorithm of linear characteristic. And then a river channel flood forecasting model, in which the coefficient of storage and discharge was regarded as a random variable, was built. The statistical characteristics of outflow process could be taken part in theory by the built river channel flood forecasting model when the coefficient of storage obeyed a kind of normal distribution. Storage coefficient is random variable in the model. The results showed that the uncertainty degree of outflow process could be made through considering the uncertainty of river channel flood forecasting, which would provide some references for making decision in flood control.

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