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Performances of Stochastic Approaches in Generating Low Streamflow Data for Drought Analysis
monthly-minimum daily discharge stochastic model ARIMA Thomas-Fiering
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2015/8/11
This study analyzed the monthly-minimum daily discharge data of each month from three gauge stations on Cekerek Stream for forecasting using stochastic approaches. Initially non-parametric test (Mann-...
Prediction of Daily Maximum Streamflow Based on Stochastic Approaches
Daily maximum streamflow stochastic model ARIMA Thomas-Fiering
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2015/8/6
This study analyzed daily maximum streamflow data of each month from three gauge stations on Cekerek Stream for simulation using stochastic approaches. Initially non-parametric test (Mann-Kendall) was...
Performances of Stochastic Approaches in Generating Low Streamflow Data for Drought Analysis
monthly-minimum daily discharge stochastic model
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2015/1/5
This study analyzed the monthly-minimum daily discharge data of each month from three gauge stations on Cekerek Stream for forecasting using stochastic approaches. Initially non-parametric test (Mann-...
Prediction of Daily Maximum Streamflow Based on Stochastic Approaches
Daily maximum streamflow stochastic model ARIMA Thomas-Fiering
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2015/1/4
This study analyzed daily maximum streamflow data of each month from three gauge stations on Cekerek Stream for simulation using stochastic approaches. Initially non-parametric test (Mann-Kendall) was...
Changes in streamflow and sediment discharge and the response to human activities in the middle reaches of the Yellow River
Changes in streamflow sediment discharge
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2011/1/7
The changes in streamflow and sediment discharge in the middle reaches of the Yellow River are a focus. In this paper, based on the precipitation, streamflow and sediment discharge series data (1950–2...
Streamflow trends in Europe: evidence from a dataset of near-natural catchments
Streamflow trends Europe dataset
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2010/12/22
Streamflow observations from near-natural catchments are of paramount importance for detection and attribution studies, evaluation of large-scale model simulations, and assessment of water management,...
Dating of streamwater using tritium in a post nuclear bomb pulse world: continuous variation of mean transit time with streamflow
tritium nuclear bomb pulse world
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2010/12/22
Tritium measurements of streamwater draining the Toenepi catchment, a small dairy farming area in Waikato, New Zealand, have shown that the mean transit time of the water varies with the flow rate of ...
Streamflow sensitivity to climate and land cover changes: Meki River, Ethiopia
climate land cover changes
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2010/12/22
Impacts of climate and land cover changes on streamflow were assessed using a hydrological modeling. The precipitation runoff modeling system of the US Geological Survey was modified in order to consi...
An experiment on the evolution of an ensemble of neural networks for streamflow forecasting
experiment evolution ensemble neural networks streamflow forecasting
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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 ...
Climate and terrain factors explaining streamflow response and recession in Australian catchments
Climate and terrain factors streamflow response recession Australian catchments
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2010/2/1
Daily streamflow data were analysed to assess which climate and terrain factors best explain streamflow response in 183 Australian catchments. Assessed descriptors of catchment response included the p...
Streamflow disaggregation:a nonlinear deterministic approach
Streamflow disaggregation nonlinear deterministic approach
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2009/11/11
This study introduces a nonlinear deterministic approach for streamflow disaggregation. According to this approach, the streamflow transformation process from one scale to another is treated as a nonl...
Testing and modelling autoregressive conditional heteroskedasticity of streamflow processes
autoregressive conditional heteroskedasticity streamflow processes
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2009/11/9
Conventional streamflow models operate under the assumption of constant variance or season-dependent variances (e.g. ARMA (AutoRegressive Moving Average) models for deseasonalized streamflow series an...
Stochastic Modelling of Monthly Streamflow in the Federal Republic of Germany
Stochastic Modelling Monthly Streamflow Federal Republic of Germany
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2009/10/29
Monthly streamflow series from five catchment areas, representative of some of
the typical types encounted in Germany,.are analysed. The time series structure
of the streamflow can be described by a...
Utilization of Satellite Snow-Cover Observations for Seasonal Streamflow Estimates in the Western Himalayas
Satellite Snow-Cover Observations Seasonal Streamflow Estimates Western Himalayas
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2009/10/28
The results presented in this study indicate the possibility of seasonal runoff
prediction when satellite-derived basin snow-cover data are related to point
source river discharge data for a number ...
A Review of Techniques used by Canada and other Northern Countries for Measurement and Computation of Streamflow under Ice Conditions
Northern Countries Measurement Computation Ice Conditions
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2009/10/26
In Canada, Water Survey of Canada, a division of the Water Resources Branch
of Environment Canada, is responsible for the collection and processing of data
from more than 3,300 active streamflow, wa...