Development of an Automatic Calibration Tool Using Genetic Algorithm for the ARNO Conceptual Rainfall-Runoff Model

2013 ◽  
Vol 39 (4) ◽  
pp. 2535-2549 ◽  
Author(s):  
Mohammad Reza Khazaei ◽  
Bagher Zahabiyoun ◽  
Bahram Saghafian ◽  
Shahin Ahmadi
Keyword(s):  
Genetic Algorithm ◽  
Automatic Calibration ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Calibration Tool ◽  
Runoff Model

Multicore Parallel Genetic Algorithm with Tabu Strategy for Rainfall-Runoff Model Calibration

2017 ◽  
Vol 22 (8) ◽  
pp. 04017024 ◽  
Author(s):  
Shengli Liao ◽  
Qianying Sun ◽  
Chuntian Cheng ◽  
Ruhong Zhong ◽  
Huaying Su
Keyword(s):  
Genetic Algorithm ◽  
Model Calibration ◽  
Rainfall Runoff ◽  
Parallel Genetic Algorithm ◽  
Rainfall Runoff Model ◽  
Runoff Model

scholarly journals A Simple Automatic Calibration Routine for the HBV Model

1997 ◽  
Vol 28 (3) ◽  
pp. 153-168 ◽  
Author(s):  
Göran Lindström
Keyword(s):  
Calibration Method ◽  
Relative Volume ◽  
Automatic Calibration ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
New Criterion ◽  
Parameter Values ◽  
Hbv Model ◽  
Large Improvement ◽  
Runoff Model

A simple, but efficient, method for automatic calibration of the conceptual HBV rainfall-runoff model was developed. A new criterion, which combines the commonly used efficienyy criterion R2 and the relative volume error was introduced. Optimising this combined criterion resulted in R2 values nearly as high as those for optimssing only R2, but with much smaller volume errors. An earlier automatic calibration method for the HBV model relied on the use of differett criteria for different parameters. With the simplification to one single criterion, the optimum search method could be made more efficient. The optimisation is made for one parameter at a time, while the others are kept constant. This one-dimensional optimisation is repeated in a loop for all parameters. A new loop is performed as long as there is a sufficiently large improvement since the last one. After each loop a search is made in the direction which is defined by the differences in parameter values between the two latest loops. The calibration routine was developed for, and tested with, the HBV model, but it should be general enough to be applicable to other modess as well.

Sign in / Sign up

Export Citation Format

Share Document