搜索结果: 1-12 共查到“水文学 algorithms”相关记录12条 . 查询时间(0.155 秒)
CAN SINGLE EMPIRICAL ALGORITHMS ACCURATELY PREDICT INLAND SHALLOW WATER QUALITY STATUS FROM HIGH RESOLUTION, MULTI-SENSOR, MULTI-TEMPORAL SATELLITE DATA?
Landsat Reflectance Earth observation Monitoring
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2015/5/7
Assessing and monitoring water quality status through timely, cost effective and accurate manner is of fundamental importance for numerous environmental management and policy making purposes. Theref...
A hydroinformatician's approach to computational innovation and the design of genetic algorithms
hydroinformatician's approach computational innovation genetic algorithms
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2009/12/7
The paper discusses how a computational hydralician got involved in the design, implementation, and application of genetic algorithms - search procedures based on the mechanics of natural selection an...
Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes
Comparative application artificial neural networks genetic algorithms time-series modelling
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2009/12/4
The paper compares potentials and achievements of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms in Lake Kasumigaura (Japan). Despite the c...
Evolutionary algorithms for multiobjective evaluation of watershed management decisions
Evolutionary algorithms multiobjective evaluation watershed management decisions
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2009/12/4
The comprehensive and systematic management of watersheds is essential for reducing the adverse environmental impacts arising from anthropogenically caused erosion and subsequent sedimentation. This p...
Application of genetic algorithms for optimal seasonal furrow irrigation
Application genetic algorithms optimal seasonal furrow irrigation
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2009/12/4
A quasi-optimum irrigation season calendar based on economic profit maximization for sloping and runoff-free furrows can be obtained by OPTIMEC (EConomic OPTIMization, in Spanish), a seasonal furrow i...
Genetic algorithms for real-time operation of multipurpose water resource systems
Genetic algorithms real-time operation multipurpose water resource systems
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2009/12/4
This paper deals with the application of genetic algorithms to the operation of a water resource system in real time. A genetic algorithm was developed and applied to solve an optimization model for t...
The Use of Neural Networks and Genetic Algorithms for Design of Groundwater Remediation Schemes
Neural Networks groundwater pollution Groundwater Remediation Schemes
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2009/6/8
The increasing incidence of groundwater pollution has led to recognition of a need to develop objective techniques for designing reniediation schemes. This paper outlines one such possibility for dete...
Combining remotely sensed data using aggregation algorithms
surface energy exchange aggregation algorithms Earth Observing System
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2009/6/5
This paper describes a strategic approach for providing documentation of the surface energy exchange for heterogeneous land surfaces via the simultaneous, four-dimensional assimilation of several stre...
Optimising training data for ANNs with Genetic Algorithms
Artificial Neural Networks Genetic Algorithms rainfall-runoff
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2009/5/13
Artificial Neural Networks (ANNs) have proved to be good modelling tools in hydrology for rainfall-runoff modelling and hydraulic flow modelling. Representative datasets are necessary for the training...
How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?
evolutionary multiobjective optimization Strength Pareto Evolutionary Algorithm 2
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2009/5/13
This study provides a comprehensive assessment of state-of-the-art evolutionary multiobjective optimization (EMO) tools' relative effectiveness in calibrating hydrologic models. The relative computati...
Reply to J. Vrugt's comment on “How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?”
evolutionary algorithms hydrologic model
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2009/5/12
Reply to J. Vrugt's comment on “How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?”.
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
hydrologic model algorithms
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2009/5/12
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.