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Decision Support for Watershed Management Using Evolutionary Algorithms
2005
Journal of water resources planning and management
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The ANN model is trained using a hybrid of evolutionary programming (EP) and the back propagation (BP) algorithms. ...
The associated decision support system is based on an interface between evolutionary algorithms (EAs) and a comprehensive watershed simulation model, and is capable of identifying optimal or near-optimal ...
Pareto Evolutionary Algorithm (SPEA) (Zitzler and Thiele 1999) . ...
doi:10.1061/(asce)0733-9496(2005)131:1(35)
fatcat:zhoyr77kpjbzlmrxaiq5nol5pq
Automatic Calibration of Hydrologic Models With Multi-Objective Evolutionary Algorithm and Pareto Optimization
2007
Journal of the American Water Resources Association
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, semi-distributed, and continuous hydrologic model. ...
Automatic multi-objective calibration of a complex watershed model was successfully implemented using Pareto ordering and MOEA. ...
-, and character-valued native data types; (4) simple interface for novice and expert application users; (5) large set of example problems; and (6) parameterized population replacement. ...
doi:10.1111/j.1752-1688.2007.00080.x
fatcat:3ojnbr4ebbb5rdo3m3c72n4jsa
MODEL CALIBRATION IN WATERSHED HYDROLOGY
[chapter]
2010
Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting
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Hydrologic models use relatively simple mathematical equations to conceptualize and aggregate the complex, spatially distributed, and highly interrelated water, energy, and vegetation processes in a watershed ...
In particular, we highlight the recent developments in the calibration of distributed hydrologic models using parameter dimensionality reduction sampling, parameter regularization and parallel computing ...
by the US National Weather Service Office of Hydrology under grant NA04NWS462001. 44 K.K. ...
doi:10.1142/9789814307987_0003
fatcat:ctvg77gehff35ibmxak4t77mmm
Valuing Water Quality Tradeoffs at the Farm Level: An Integrated Approach
2014
Social Science Research Network
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This study evaluates the tradeoff between agricultural production and water quality for individual producers using an integrated economicbiophysical hybrid genetic algorithm. ...
We use a hybrid genetic algorithm to integrate the economic and biophysical models into one multiobjective optimization problem, the joint maximization of farm profits and minimization of Nitrate runoff ...
Automatic Calibration of Hy-530 drologic Models With Multiobjective Evolutionary Algorithm and 531 Pareto Optimization. ...
doi:10.2139/ssrn.2469572
fatcat:x5y6xudi45hkpnxnoxxtrocqlq
Identifying uncertainties in simulated streamflow from hydrologic model components for climate change impact assessments
2019
Hydrology and Earth System Sciences Discussions
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The algorithms used in the hydrologic model components (e.g., runoff generation) can introduce significant uncertainties in the simulated hydrologic variables, yet the identification and quantification ...
., 230&thinsp;% for Q<sub>m</sub> and 330&thinsp;% for Q<sub>p</sub> and Q<sub>100</sub>) with general circulation models (GCMs) and emission scenarios accounting for more than half of the total ...
Monthly surface 653 and subsurface runoff from National Land Data Assimilation Systems (NLDAS) VIC model 654 simulation for the same period are shown here for comparison purpose. ...
doi:10.5194/hess-2019-328
fatcat:o2ffltjutngibdw7mbizefjzhm
Particle Swarm Optimization and Shuffle Complex Evolution for Calibrating Xinanjiang Model Parameters
2011
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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Input data used for model calibration are daily rainfall data Year 2001, and validated with data Year 1990, 1992, 2000, 2002 and 2003. ...
Xinanjiang model, a conceptual hydrological model, is well known and widely used in China since 1970s. ...
Assocciate Professor Jintao Liu, Laboratory of Hydrology, Water Resources and Hydraulic Engineering, Hohai University, Nanjing for providing the source code of Xinanjiang model. ...
doi:10.24297/ijct.v10i10.1202
fatcat:36zsitbd4jfexhzseonckfcvsa
Searching for an optimized single-objective function matching multiple objectives with automatic calibration of hydrological models
2016
Hydrology and Earth System Sciences Discussions
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The new objective function was applied to 196 model parameter estimation experiment (MOPEX) watersheds across the eastern United States using the semi-distributed Xinanjiang hydrological model. ...
The optimized exponent value for each watershed was obtained by targeting four popular objective functions focusing on peak flows, low flows, water balance, and flashiness, respectively. ...
The algorithm has been 181 frequently used in hydrological modeling and has been demonstrated to be consistently better 182 compared to other state-of-the-art evolutionary algorithms (Kollat and Reed, ...
doi:10.5194/hess-2016-88
fatcat:aresn5zyjvfujp6amaim7ed4w4
The Curve Number Concept as a Driver for Delineating Hydrological Response Units
2018
Water
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This task involves two separate tasks, the discretization of the watershed, i.e., the model schematization, and the model parameterization. ...
The widely-accepted conclusion is that lumped models cannot represent the spatial variability of the basin processes, while fully-distributed models are data and time demanding. ...
The authors are thankful to the three reviewers for their useful comments and suggestions that helped us to improve the paper. ...
doi:10.3390/w10020194
fatcat:udwcnw7e65h67d4km7mppyp2xq
EvoSeg: Automated Electron Microscopy Segmentation through Random Forests and Evolutionary Optimization
2021
Biomimetics
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In this work, we present a method that uses bio-inspired optimization, through an Evolutionary-Optimized Segmentation algorithm, to iteratively improve upon baseline segments obtained from a classical ...
The cost function used by the evolutionary optimization is based on an ideal segmentation classifier trained as part of this development, which uses basic structural information available to scientists ...
Acknowledgments: This research heavily relied on the support from the National Colaboratory for Advanced Computing at the National Center for High Technology (CNCA-CeNAT). ...
doi:10.3390/biomimetics6020037
pmid:34206006
fatcat:lguxb3ktvrac5jujt6i5xgiyui
Remote Sensing-Supported Flood Forecasting of Urbanized Watersheds—A Case Study in Southern China
2022
Remote Sensing
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Landsat satellite images acquired in 2015 were used to estimate land use and cover changes using the Decision Tree (DT) C4.5 classification algorithm, while the Liuxihe model, a physically based distributed ...
The accuracies of the two flood forecasting methods used in this study were 83.95% and 97.06%, showing the excellent performance of the Liuxihe model for the real-time flood forecasting of urbanized rivers ...
The Liuxihe model is a physically based distributed watershed hydrological model proposed for watershed flood forecasting and has been applied in several watershed flood forecasting studies [53, [67] ...
doi:10.3390/rs14236129
fatcat:q4hpu4j2cfesfezbx5lb22pemq
Hybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecasting
2018
Hydrology and Earth System Sciences
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The experiments were conducted on two watersheds: the Blue River (low resolution) using the VIC (Variable Infiltration Capacity) model and the Indiantown Run (high resolution) using the DHSVM (Distributed ...
initial conditions: Bayesian data assimilation and variational data assimilation. ...
The authors are thankful to the two referees and the editor for their valuable comments and suggestions. ...
doi:10.5194/hess-22-5759-2018
fatcat:a7sfsthg25efljdymu7jt36u3u
Identifying uncertainties in hydrologic fluxes and seasonality from hydrologic model components for climate change impact assessments
2020
Hydrology and Earth System Sciences
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The algorithms used for the hydrologic model components (e.g., runoff generation) can introduce significant uncertainties into the simulated hydrologic variables. ...
This study provides useful information for practices associated with water resources, risk control, and ecosystem conservation and for studies related to hydrologic model evaluation and climate change ...
This research has been supported by the National Science Foundation (grant nos. OCE9982105, OCE-0620276, and OCE-123277). Review statement. ...
doi:10.5194/hess-24-2253-2020
fatcat:evg5ckujzja4niglofejq6y7oq
Optimal Water Quality Management Strategies for Urban Watersheds Using Macrolevel Simulation and Optimization Models
2009
Journal of water resources planning and management
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OF DISSERTATION OPTIMAL WATER QUALITY MANAGEMENT STRATEGIES FOR URBAN WATERSHEDS USING MACRO-LEVEL SIMULATION MODELS LINKED WITH EVOLUTIONARY ALGORITHMS Urban watershed management poses a very challenging ...
A new genetic algorithm (GA) based technique of inductive model construction called Fixed Functional Set Genetic Algorithm (FFSGA) is developed and used in the development of macro-level simulation models ...
In stochastic models, probability distributions of model parameters are obtained for use in the model to obtain a probability distribution of the model output. ...
doi:10.1061/(asce)0733-9496(2009)135:4(276)
fatcat:sgkpxaqekbcftiheh4zsfjtjce
Advances in the identification and evaluation of complex environmental systems models
2009
Journal of Hydroinformatics
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available for environmental systems at the watershed scale. ...
In the case of gauged systems, we find that global sensitivity analysis provides a widely underused tool for evaluating models' assumptions and estimating the information content of data. ...
We thank the two anonymous reviewers and the editor for their constructive criticism that helped improve the paper. ...
doi:10.2166/hydro.2009.040
fatcat:4ryafh2tgfdqnboui3icmyrgei
Gradient‐based inverse estimation for a rainfall‐runoff model
2019
Water Resources Research
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Recent advances in deep learning for neural networks with large numbers of parameters have been enabled by automatic differentiation, an algorithmic technique for calculating gradients of measures of model ...
Here, we demonstrate the effectiveness of gradient-based estimation techniques for high-dimensional inverse estimation problems using a conceptual rainfall-runoff model. ...
All data used in this study are available from the National Weather Service website (www.nws.noaa.gov/ohd/mopex/mo_ datasets.htm). ...
doi:10.1029/2018wr024461
fatcat:kbbjnysyfrb6jlgdduiuuqjhfa
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