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Efficient methods of automatic calibration for rainfall-runoff modelling in the Floreon+ system

Matyáš Theuer, Radim Vavřík, Vít Vondrák, Štěpán Kuchař, Boris Šír, Antonio Portero
2017 Neural Network World  
Calibration of rainfall-runoff model parameters is an inseparable part of hydrological simulations.  ...  In order to perform the calibration repeatedly for large amount of data and provide results of calibrated model simulations for the flood warning process in a short time, the method also has to be automated  ...  Acknowledgement This article was supported by Operational Programme Education for Competitiveness and co-financed by the European Social Fund within the framework of the project New creative teams in priorities  ... 
doi:10.14311/nnw.2017.27.022 fatcat:4qf4ffm3hndvzndky6efpxgicq

Comment on "How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?" by Y. Tang et al., Hydrol. Earth Syst. Sci., 10, 289–307, 2006

J. A. Vrugt
2007 Hydrology and Earth System Sciences  
This would especially be true for the hydrologic model calibration problems, discussed in case study (2) and (3).  ...  hydrologic models.  ...  This would especially be true for the hydrologic model calibration problems, discussed in case study (2) and (3).  ... 
doi:10.5194/hess-11-1435-2007 fatcat:b2nby7oa7baw5aghp5hvbet4bu

Double-layer parallelization for hydrological model calibration on HPC systems

Ang Zhang, Tiejian Li, Yuan Si, Ronghua Liu, Haiyun Shi, Xiang Li, Jiaye Li, Xia Wu
2016 Journal of Hydrology  
To overcome this difficulty, we proposed a double-layer parallel system for hydrological model calibration using high-performance computing (HPC) systems.  ...  This approach is applicable to most of the existing hydrology models for many applications.  ...  We are also grateful to the two anonymous reviewers who offered insightful comments leading to the improvement of this paper.  ... 
doi:10.1016/j.jhydrol.2016.01.024 fatcat:dvn5etzrtnb3ja7uryw5ojvnem

An Improved Genetic Algorithm for Parameter Calibration of Xin'anjiang Model

2016 Revista de la Facultad de Ingeniería  
The improved genetic algorithm is successfully applied to parameter calibration of the Xin'anjiang model for the Zhuganhe watershed.  ...  It provides an efficient and reliable optimization algorithm for the calibration of Xin'anjiang model parameter.  ...  Furthermore, the authors would like to thank the anonymous reviewers for their helpful and constructive comments.  ... 
doi:10.21311/002.31.4.25 fatcat:pyxwva2yqrgbndgs5fk6drgmb4

Comparison of Performance between Genetic Algorithm and SCE-UA for Calibration of SCS-CN Surface Runoff Simulation

Ji-Hong Jeon, Chan-Gi Park, Bernard Engel
2014 Water  
A genetic algorithm (GA) and shuffled complex evolution (SCE-UA) algorithm were linked with the Long-Term Hydrologic Impact Assessment (L-THIA) model, which employs the curve number (SCS-CN) method.  ...  The GA method is recommended for cases when model simulation takes a long time and the model user does not have sufficient time for an optimization program to search for the best values of calibration  ...  The results provide important information to help model users select an algorithm for optimization of model parameters and to help developers improve algorithms.  ... 
doi:10.3390/w6113433 fatcat:ptctintybvcthks5j5kgcu4p4a

Page 60 of American Society of Civil Engineers. Collected Journals Vol. 6, Issue 1 [page]

2001 American Society of Civil Engineers. Collected Journals  
“Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration.” J. Hydrologic Enere., ASCE, 4(2), 135-143 Hecht-Nielsen, R. (1990).  ...  “Construction, calibration and val- idation of hydrological models.”’ Distributed hydrological modelling, M. B. Abbott and J. C.  ... 

SWMM Calibration using Genetic Algorithms

Benny Wan, William James
2002 Journal of Water Management Modeling  
By applying the genetic algorithm to SWMM with the aid of the sensitivity wizard in the graphical decision support systemPCSWMM, a sensitivity-based method for automating the calibration of runoff model  ...  The GA was selected as the calibration strategy for this study as a result of a literature survey. It is an optimization method based on the hypothesis of  ...  for sensitivity, 90 SWMM Calibration using Genetic Algorithms (ii) setting calibration parameter limits, (iii) following a calibration strategy and (iv) conducting an error analysis.  ... 
doi:10.14796/jwmm.r208-07 fatcat:2c4giq663nabpm7dgncbhs3x5m

Improving the characterization of initial conditions for streamflow prediction using a precipitation reconstruction algorithm

Ayoub Tahiri, David Ladeveze, Pascale Chiron, Bernard Archimede
2018 IFAC-PapersOnLine  
Uncertainty on the initial conditions has as much influence as uncertainty on the weather forecasts on the hydrologic forecasts for some watersheds.  ...  Hydrologic forecasts derive their skill from knowledge of initial conditions at the forecast date, climate forecast, model structure and parameters.  ...  Different efficiency criteria for hydrological model calibration are mentioned in [Nash and Sutcliffe, 1970] and [Krause et al, 2005] .  ... 
doi:10.1016/j.ifacol.2018.06.193 fatcat:7r24uy7jfrb7hfip5cwltqw5hm

Development of a Web-Based L-THIA 2012 Direct Runoff and Pollutant Auto-Calibration Module Using a Genetic Algorithm

Chunhwa Jang, Donghyuk Kum, Younghun Jung, Kyoungsoon Kim, Dong Shin, Bernard Engel, Yongchul Shin, Kyoung Lim
2013 Water  
Then, we developed a web-based auto-calibration module by integrating a Genetic-Algorithm (GA) into the L-THIA 2012 that can automatically calibrate Curve Numbers (CNs) for direct runoff estimations.  ...  The Long-Term Hydrology Impact Assessment (L-THIA) model has been used as a screening evaluation tool in assessing not only urbanization, but also land-use changes on hydrology in many countries.  ...  The objectives of this study was three-fold: (1) to develop a genetic algorithm-based automatic calibration module for improving the performance of Long-Term Hydrologic Impact Assessment (L-THIA) models  ... 
doi:10.3390/w5041952 fatcat:y5q7noxabze63o2a2leohod43a

MOSELLE NEHRİ'NDEKİ DÜŞÜK DEBİLERİN BENZETİMİ İÇİN ÇOKLU GENETİK PROGRAMLAMA MODELİNİN KALİBRE EDİLMESİ

Ali DADANDEH MEHR, Mehmet C. DEMİREL
2016 Uludağ University Journal of The Faculty of Engineering  
Although the model is developed and calibrated for Moselle River flows, the multigene genetic algorithm offers a great opportunity for hydrologic prediction and forecast problems in the river basins with  ...  Based on the calibration and validation results, the proposed multigene genetic programming model is the best performing model among four models.  ...  ACKNOWLEDGEMENTS We acknowledge the financial support for the SPACE project (http://www.space.geus.dk/) by the Villum Foundation (http://villumfonden.dk/) through their Young Investigator Programme and  ... 
doi:10.17482/uumfd.278107 fatcat:ttifyhgxw5frzcduw223h2wqlu

An Estimation of Rainfall using Fuzzy Set-Genetic Algorithms Model

Thongwan
2011 American Journal of Engineering and Applied Sciences  
The genetic algorithm was applied to calibrate the fuzzy set model.  ...  Furthermore, the results presented that the genetic algorithm calibration provided the optimal condition of membership function.  ...  CONCLUSION This study applied a fuzzy model for estimating the rainfall. Genetic algorithm technique was used to calibrate membership function condition of fuzzy sets model.  ... 
doi:10.3844/ajeassp.2011.77.81 fatcat:x5hrqor2qradrmux56vpbrbtvy

Parameter Optimization of Double-Excess Runoff Generation Model

Bo Ren, Ji Liang, Baolin Yan, Xiaohui Lei, Wenbo Fu, Xianfeng Ni, Jun Guo
2018 Polish Journal of Environmental Studies  
With the continuous improvements made in hydrological parameter algorithms and the creation of new optimization algorithms, there is no doubt that the optimization of hydrological model parameters will  ...  Abstract Research on the optimization of hydrological model parameters is an important issue in the field of hydrological forecasts, as these parameters not only directly impact the accuracy of forecast  ...  Language editing and improvement by Cactus Communications is also greatly appreciated.  ... 
doi:10.15244/pjoes/70626 fatcat:3zwrud2z7jgnlmrlubdn2rfn4e

Automatic calibration of a distributed catchment model

K. Eckhardt, J.G. Arnold
2001 Journal of Hydrology  
Subsequently, an automatic calibration of the version SWAT-G of the model SWAT (Soil and Water Assessment Tool) with a stochastic global optimization algorithm, the Shuf¯ed Complex Evolution algorithm,  ...  Parameters of hydrologic models often are not exactly known and therefore have to be determined by calibration.  ...  The new model version was named SWAT-G (Eckhardt et al., 2001) . The optimization algorithm The SCE algorithm (Duan et al., 1992) belongs to the family of genetic algorithms.  ... 
doi:10.1016/s0022-1694(01)00429-2 fatcat:7bsepej45zbcbms5kkgnjrxmna

Technical note: the caRamel R package for Automatic Calibration by Evolutionary Multi Objective Algorithm

Céline Monteil, Fabrice Zaoui, Nicolas Le Moine, Frédéric Hendrickx
2019 Hydrology and Earth System Sciences Discussions  
The optimizer was initially developed for the calibration of hydrological models but can be used for any environmental model.  ...  As an example, caRamel converges quickly and has a stable solution after 5,000 model evaluations with robust results for a real study case of a hydrological problem with 8 parameters and 3 objectives of  ...  Hydrological modeling For this example, we chose to calibrate MORDOR-SD hydrological model (Garavaglia et al., 2017) .  ... 
doi:10.5194/hess-2019-259 fatcat:44nbr7epvrhs3ego4lpetzcavq

A new parallel framework of distributed SWAT calibration

Qiang Li, Xi Chen, Yi Luo, ZhongHua Lu, YanGang Wang
2014 Journal of Arid Land  
For improving the computational efficiency of the SWAT model, we present a new parallel processing solution for hydrologic cycle and calibration based on MPI (Message Passing Interface).  ...  Because of the slow convergence and local optimization of the SCE-UA (Shuffled Complex Evolution-developed by University of Arizona) algorithm in SWAT calibration, a genetic algorithm (GA) is developed  ...  We thank Brian SKJERVEN and Caroline QIAN from University of Minnesota, USA and YanFen YANG from Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences for their valuable comments.  ... 
doi:10.1007/s40333-014-0041-5 fatcat:7pqabxm5zndgxksf6sgvxcgur4
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