搜索结果: 1-15 共查到“水文学 Networks”相关记录30条 . 查询时间(0.118 秒)
Efficient extraction of drainage networks from massive, radar-based elevation models with least cost path search
Efficient extraction drainage networks radar-based elevation
2011/3/15
The availability of both global and regional elevation datasets acquired by modern remote sensing technologies provides an opportunity to significantly improve the accuracy of stream mapping, especial...
An experiment on the evolution of an ensemble of neural networks for streamflow forecasting
experiment evolution ensemble neural networks streamflow forecasting
2010/4/7
We present an experiment on fifty multilayer perceptrons trained for streamflow forecasting on three watersheds using bootstrapped input series. This type of neural network is common in hydrology and ...
Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks
high waters Venice Lagoon chaotic time series analysis nonlinear neural networks
2009/12/7
Time series analysis using nonlinear dynamics systems theory and multilayer neural networks models have been applied to the time sequence of water level data recorded every hour at 'Punta della Salute...
Input–output dynamic neural networks simulating inflow–outflow phenomena in an urban hydrological basin
Input–output dynamic neural networks inflow–outflow phenomena urban hydrological basin
2009/12/7
In this paper neural networks have been studied as a tool to realise a single-input single-output nonlinear dynamic system simulating rainfall-runoff transformation in a urban hydrological basin. The ...
Prediction of scour depth at culvert outlets using neural networks
Prediction scour depth culvert outlets neural networks
2009/12/4
Scour at culvert outlets is a phenomenon encountered world-wide. Research into the problem has mainly been of an experimental nature, with equations being derived for particular circumstances. These t...
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
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...
Development of a discharge equation for side weirs using artificial neural networks
discharge equation side weirs artificial neural networks
2009/12/4
Flow over a side weir is one of the more complex flows to simulate in one-dimensional unsteady flow analysis. Various experiments have been applied, but no agreement is apparent in the literature abou...
A methodology for the design of quasi-optimal monitoring networks for lakes and reservoirs
methodology design quasi-optimal monitoring networks lakes reservoirs
2009/12/4
A methodology for designing data colection networks in lakes and reservoirs is presented. The methodology is supported on numerical models, geostatistics and evolutionary strategies. The authors defin...
The extrapolation of artificial neural networks for the modelling of rainfall ATitlemdash;runoff relationships
artificial neural networks modelling rainfall ATitlemdash runoff relationships
2009/12/4
The last decade has seen increasing interest in the application of Artificial Neural Networks (ANNs) for the modelling of the relationship between rainfall and streamflow. Since multi-layer, feed-forw...
Using Bayesian networks to model watershed management decisions:an East Canyon Creek case study
Bayesian networks watershed management decisions East Canyon Creek
2009/12/4
An approach to developing and using Bayesian networks to model watershed management decisions is presented with a case study application to phosphorus management in the East Canyon watershed in Northe...
Flash-flood forecasting by means of neural networks and nearest neighbour approach–a comparative study
Flash-flood forecasting neural networks nearest neighbour approach
2009/11/9
In this paper, Multi-Layer Perceptron and Radial-Basis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountai...
COMPARISON OF MEAN RAIN CATCH OF VARIOUS GAUGE NETWORKS
COMPARISON MEAN RAIN CATCH VARIOUS GAUGE NETWORKS
2009/10/29
After the substitution of stereo for horizontal orifices of rain gauges on
open steep slopes, the mean network catch in a subbasin with prevailing
windward exposure was increased by 11 O/o. In a sub...
Neural Networks in the Ice-Correction of Discharge Observations
Neural Networks Ice-Correction Discharge Observations
2009/10/23
We have applied three models, a neural network, a conceptual model and a combination
of these two, a hybrid model, to model thc backwatcr effect of ice in a
river. The neural network is a black-box ...
Solar Radiation Estimation using Temperature-based,Stochastic and Artificial Neural Networks Approaches
Solar Radiation Estimation Temperature-based Artificial Neural Networks
2009/10/22
Radiation is a variable that governs many hydrological and phenological
processes, but its measurements are not made routinely. To overcome this problem,
continuous hydrological models that include ...
River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin
River flow forecasting artificial neural networks flow length travel time information
2009/9/11
This paper explores the use of flow length and travel time as a pre-processing step for incorporating spatial precipitation information into Artificial Neural Network (ANN) models used for river flow ...