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Rainfall-Runoff Modeling

Multi criteria validation of artificial neural network rainfall runoff modeling

Multi criteria validation of artificial neural network rainfall runoff modeling

... for rainfall-runoff modeling by artifi- cial neural ...by rainfall-runoff modeling of the Plasjan Basin in the western region of the Zayandehrud watershed, ...observed ...

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Artificial Neural Networks for Event Based Rainfall Runoff Modeling

Artificial Neural Networks for Event Based Rainfall Runoff Modeling

... the rainfall-runoff modeling using continuous ...event-based rainfall-runoff ...event-based rainfall-runoff model for the basin to simulate the hourly runoff at ...

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Investigating the Optimization Strategies on Performance of Rainfall-Runoff Modeling

Investigating the Optimization Strategies on Performance of Rainfall-Runoff Modeling

... (between rainfall and runoff records) in comparison with their original values ...well rainfall-runoff modeling (hydrological series are capable to be modeled in perfect ...

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A REVIEW ON RAINFALL RUNOFF MODELING

A REVIEW ON RAINFALL RUNOFF MODELING

... of rainfall-runoff models is water resources planning and management has become ...of modeling way to ...consideration. Runoff controlled by broad categories of factors: metrological factors ...

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Analyzing the Mara River Basin Behaviour through Rainfall Runoff Modeling

Analyzing the Mara River Basin Behaviour through Rainfall Runoff Modeling

... and Rainfall Regime Change Scenarios on the Flow of Mara River found out that there has been a decline in the dry season flow and increased peak flood frequency in recent ...

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RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK

RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK

... of rainfall-runoff that will predict the future amount of discharges in Tumaga Riv- er, Zamboaga City, ...- rainfall, humidity, maximum temperature, minimum temperature and average ...

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Particle Swarm Optimization Feedforward Neural Network for Hourly Rainfall-runoff Modeling in Bedup Basin, Malaysia

Particle Swarm Optimization Feedforward Neural Network for Hourly Rainfall-runoff Modeling in Bedup Basin, Malaysia

... In recent years, the application of ANNs in various aspects of hydrological modeling has undergone much investigation. The ability of ANNs to model non-linear relationship is appropriate to model the complex ...

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airGR and airGRteaching: Two Open-Source Tools for Rainfall-Runoff Modeling and Teaching Hydrology

airGR and airGRteaching: Two Open-Source Tools for Rainfall-Runoff Modeling and Teaching Hydrology

... The airGR package includes hydrological models functioning at several time steps (from hourly to annual) and a snow accumulation and melt model. All these models were developed with a common philosophy: the models must ...

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Rainfall-runoff modeling of the Nyando River basin for flood mitigation

Rainfall-runoff modeling of the Nyando River basin for flood mitigation

... The methods used include the rainfall-runoff relationship peak food frequency Analysis mapping of inundation river plain areas for various return period floods.. The study was carried ou[r] ...

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Development of Rainfall Runoff Modeling in Matlab Environment

Development of Rainfall Runoff Modeling in Matlab Environment

... of rainfall-runoff model, and how that concept applies in model as ...of rainfall-runoff, with more about the practical situations by considering corresponding different parameters according ...

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Rainfall Runoff Modeling Using Mike 11 Nam – A Review

Rainfall Runoff Modeling Using Mike 11 Nam – A Review

... physical modeling and is a deterministic, distributed system model subjected to imitating all processes in the land phase of the water ...the rainfall, evapotranspiration, transpiration, infiltration, ...

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Status of flood vulnerability area in an ungauged basin, southwest Nigeria

Status of flood vulnerability area in an ungauged basin, southwest Nigeria

... by Rainfall-Runoff Modeling using a combination of the Natural Resources Conservation Service (NRCS) curve number model and digital terrain modeling using ArcGIS ® ...

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APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED

APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED

... for rainfall- runoff modeling and demonstrated the impact of the training data selection on the accuracy of runoff ...surface runoff and sediment losses of the ...next-day runoff ...

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Prediction in ungauged river basin in the west coast of peninsular Malaysia using linear regression model

Prediction in ungauged river basin in the west coast of peninsular Malaysia using linear regression model

... from Rainfall, Evapotranspiration and Streamflow (IHACRES) rainfall-runoff model was used to develop the relationship between model parameters and physical catchment descriptors of eight gauged ...

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Rainfall Runoff Analysis of the Watershed for River AIE

Rainfall Runoff Analysis of the Watershed for River AIE

... as runoff and flows through the River and meets its sink after heading ...the rainfall runoff relationship on daily ...the Rainfall- runoff relation because the study area lies beyond ...

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Rainfall-runoff properties of tephra: Simulated effects of grain-size and antecedent rainfall

Rainfall-runoff properties of tephra: Simulated effects of grain-size and antecedent rainfall

... and runoff collection as a result of high infiltration rates ...extreme rainfall intensities or landsliding of the tephra layer above a basal décollement surface when saturated (Manville et ...

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Ratio of basin lag times for runoff and sediment yield processes recorded in various environments

Ratio of basin lag times for runoff and sediment yield processes recorded in various environments

... effective rainfall intensity hyetograph and the storm runoff hydrograph, is an important factor in determining the time to peak and the peak value of the instantaneous unit hydrograph ...

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TIME SERIES MODELING OF TROPICAL RIVER RUNOFF

TIME SERIES MODELING OF TROPICAL RIVER RUNOFF

... observed runoff in fig. 5.6. From the runoff forecast graph it is obvious that the model depicts a good agreement with the runoff pattern however, runoff quantities are over predictive during ...

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Hydrological impacts of climate change on the Tejo and Guadiana Rivers

Hydrological impacts of climate change on the Tejo and Guadiana Rivers

... daily rainfall–runoff model is applied to the Tejo and Guadiana river basins in Spain and Portugal to simulate the effects of climate change on runoff production, river flows and water resource ...

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Review Flood Prediction Using Machine Learning, Literature Review

Review Flood Prediction Using Machine Learning, Literature Review

... stations. Further, the evaluation shows that MNLR models with lower RMSE values have a better performance over the ANFIS, MLR, ANN models. Furthermore, MNLR is suggested as a low cost and efficient model for daily ...

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