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Efficient methods of automatic calibration for rainfall-runoff modelling in the Floreon+ system
2017
Neural Network World
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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
2007
Hydrology and Earth System Sciences
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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
2016
Journal of Hydrology
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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
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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
2014
Water
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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
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“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
2002
Journal of Water Management Modeling
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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
2018
IFAC-PapersOnLine
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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
2013
Water
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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
2016
Uludağ University Journal of The Faculty of Engineering
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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
2011
American Journal of Engineering and Applied Sciences
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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
2018
Polish Journal of Environmental Studies
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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
2001
Journal of Hydrology
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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
2019
Hydrology and Earth System Sciences Discussions
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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
2014
Journal of Arid Land
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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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