Raspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models

While automatic calibration programs exist for many hydraulic models, no user-friendly and broadly reusable automatic calibration system currently exists for steady-state HEC-RAS models. This study highlights development of Raspy-Cal, an automatic HEC-RAS calibration program based on a genetic algor...

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Autores principales:	Daniel Philippus, Jordyn M. Wolfand, Reza Abdi, Terri S. Hogue
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	hydraulic modeling autocalibration genetic algorithm optimization HEC-RAS Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/f430b39a12ff432890e9b07f9fbe3905
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spelling	oai:doaj.org-article:f430b39a12ff432890e9b07f9fbe39052021-11-11T19:56:09ZRaspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models10.3390/w132130612073-4441https://doaj.org/article/f430b39a12ff432890e9b07f9fbe39052021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3061https://doaj.org/toc/2073-4441While automatic calibration programs exist for many hydraulic models, no user-friendly and broadly reusable automatic calibration system currently exists for steady-state HEC-RAS models. This study highlights development of Raspy-Cal, an automatic HEC-RAS calibration program based on a genetic algorithm and implemented in Python. It includes a graphical user interface and an interactive command-line interface, as well as libraries readily usable by other programs. As a case study, Raspy-Cal was used to calibrate a model of the Los Angeles River in California and its two major tributaries. We found that Raspy-Cal matched the accuracy of manual calibrations in much less time and without manual intervention, producing a Nash–Sutcliffe Efficiency of 0.89 or greater within several hours when run for 100 iterations. Our analysis showed that the open-source freeware facilitates fast and precise calibration of HEC-RAS models and could serve as a basis for future software development. Raspy-Cal is available online in source and executable form as well as through the Python Package Index.Daniel PhilippusJordyn M. WolfandReza AbdiTerri S. HogueMDPI AGarticlehydraulic modelingautocalibrationgenetic algorithmoptimizationHEC-RASHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3061, p 3061 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hydraulic modeling autocalibration genetic algorithm optimization HEC-RAS Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	hydraulic modeling autocalibration genetic algorithm optimization HEC-RAS Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Daniel Philippus Jordyn M. Wolfand Reza Abdi Terri S. Hogue Raspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models
description	While automatic calibration programs exist for many hydraulic models, no user-friendly and broadly reusable automatic calibration system currently exists for steady-state HEC-RAS models. This study highlights development of Raspy-Cal, an automatic HEC-RAS calibration program based on a genetic algorithm and implemented in Python. It includes a graphical user interface and an interactive command-line interface, as well as libraries readily usable by other programs. As a case study, Raspy-Cal was used to calibrate a model of the Los Angeles River in California and its two major tributaries. We found that Raspy-Cal matched the accuracy of manual calibrations in much less time and without manual intervention, producing a Nash–Sutcliffe Efficiency of 0.89 or greater within several hours when run for 100 iterations. Our analysis showed that the open-source freeware facilitates fast and precise calibration of HEC-RAS models and could serve as a basis for future software development. Raspy-Cal is available online in source and executable form as well as through the Python Package Index.
format	article
author	Daniel Philippus Jordyn M. Wolfand Reza Abdi Terri S. Hogue
author_facet	Daniel Philippus Jordyn M. Wolfand Reza Abdi Terri S. Hogue
author_sort	Daniel Philippus
title	Raspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models
title_short	Raspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models
title_full	Raspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models
title_fullStr	Raspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models
title_full_unstemmed	Raspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models
title_sort	raspy-cal: a genetic algorithm-based automatic calibration tool for hec-ras hydraulic models
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f430b39a12ff432890e9b07f9fbe3905
work_keys_str_mv	AT danielphilippus raspycalageneticalgorithmbasedautomaticcalibrationtoolforhecrashydraulicmodels AT jordynmwolfand raspycalageneticalgorithmbasedautomaticcalibrationtoolforhecrashydraulicmodels AT rezaabdi raspycalageneticalgorithmbasedautomaticcalibrationtoolforhecrashydraulicmodels AT terrishogue raspycalageneticalgorithmbasedautomaticcalibrationtoolforhecrashydraulicmodels
_version_	1718431383833018368

Raspy-Cal: A Genetic Algorithm-Based Automatic Calibration Tool for HEC-RAS Hydraulic Models

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