搜索结果: 1-15 共查到“Streamflow”相关记录47条 . 查询时间(0.076 秒)
Earlier snowmelt decreases streamflow,reduces forests'ability to regulate atmospheric carbon dioxide
snowmelt decreases streamflow reduces forests'ability atmospheric carbon dioxide
font style='font-size:12px;'>
2016/8/11
Earlier annual snowmelt periods may hinder the ability of forests to regulate atmospheric carbon dioxide (CO2), according to the results of a new study.The findings, published in Geophysical Research ...
Performances of Stochastic Approaches in Generating Low Streamflow Data for Drought Analysis
monthly-minimum daily discharge stochastic model ARIMA Thomas-Fiering
font style='font-size:12px;'>
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
font style='font-size:12px;'>
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
font style='font-size:12px;'>
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
font style='font-size:12px;'>
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...
Towards a publicly available, map-based regional software tool to estimate unregulated daily streamflow at ungauged rivers
publicly available map-based regional software tool estimate unregulated daily streamflow ungauged rivers
font style='font-size:12px;'>
2014/12/17
Streamflow information is critical for addressing any number of hydrologic problems. Often, streamflow information is needed at locations that are ungauged and, therefore, have no observations on whic...
Influence of Indian Ocean high pressure on streamflow variability over southwestern Australia
El Niñ o southern oscillation Indian Ocean high pressure Indian Ocean high longitude Southern oscillation index
font style='font-size:12px;'>
2015/8/17
The seasonal and interannual variability of the southwestern Australia streamflow was examined based on re-analysis dataset from the National Centers for Environmental Prediction / National Center for...
Possible Impacts of Climate Change on Daily Streamflow and Extremes at Local Scale in Ontario, Canada. Part I: Historical Simulation
Rainfall-Related Streamflow Simualtion Statistic Methods Ontario Canada
font style='font-size:12px;'>
2013/2/27
The paper forms the first part of an introduction to possible impacts of climate change on daily streamflow and extremes in the Province of Ontario, Canada. In this study, both conceptual and statisti...
Possible Impacts of Climate Change on Daily Streamflow and Extremes at Local Scale in Ontario, Canada. Part II: Future Projection
Rainfall-Related Streamflow Future Projection Downscaling Statistic Methods Ontario Canada
font style='font-size:12px;'>
2013/2/27
The paper forms the second part of an introduction to possible impacts of climate change on daily streamflow and extremes in the Province of Ontario, Canada. Daily streamflow simulation models develop...
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
font style='font-size:12px;'>
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
font style='font-size:12px;'>
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
font style='font-size:12px;'>
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
font style='font-size:12px;'>
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...
Physical controls on the scale-dependence of ensemble streamflow forecast dispersion
Physical controls the scale-dependence ensemble streamflow forecast dispersion
font style='font-size:12px;'>
2010/10/21
The accuracy of ensemble streamflow forecasts (ESFs) is impacted by the propagation of uncertainty associated with quantitative precipitation forecasts (QPFs) through the physical processes occurring...
An experiment on the evolution of an ensemble of neural networks for streamflow forecasting
experiment evolution ensemble neural networks streamflow forecasting
font style='font-size:12px;'>
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 ...