Global ETD Search

Statistical analysis for streamflow prediction

Hancher, Boyd ThomasVirginia Polytechnic Institute1965

… by basins of similar topography and climate. Streamflow prediction would be made by mathematical synthesis from the standard deviation parameter computed from the graphical relationships established for each region. The value of such a relationship was evidenced by the general consistency of …

vt Repository record for Statistical analysis for streamflow prediction (opens in a new tab)

Distributed Hydrologic Modeling for Streamflow Prediction at Ungauged Basins

Bandaragoda, Christina

utahstate Repository record for Distributed Hydrologic Modeling for Streamflow Prediction at Ungauged Basins (opens in a new tab)

Evaluating the usefulness of soil moisture (forecasts) in streamflow prediction for central Texas

Mahmoud, Mohammed

mtu Repository record for Evaluating the usefulness of soil moisture (forecasts) in streamflow prediction for central Texas (opens in a new tab)

Evaluation of Snow and Streamflow in the National Water Model with Analysis using Machine Learning

Sthapit, Engela2022

… and streams. This study explored the snow and streamflow prediction capabilities of process-based numerical prediction and data-driven machine learning models.</p> <p>The overall goal of this study was to understand the deficiencies in the NOAA’s National Water Model (NWM) to represent snow, …

cuny Repository record for Evaluation of Snow and Streamflow in the National Water Model with Analysis using Machine Learning (opens in a new tab)

CALIBRATION, VERIFICATION, AND DIAGNOSIS OF A SEASON-AHEAD DROUGHT PREDICTION MODEL: LIMITS TO PREDICTABILITY IN CENTRAL TEXAS

Witham, Jonathan

mtu Repository record for CALIBRATION, VERIFICATION, AND DIAGNOSIS OF A SEASON-AHEAD DROUGHT PREDICTION MODEL: LIMITS TO PREDICTABILITY IN CENTRAL TEXAS (opens in a new tab)

A framework for Improving Hydrologic and Water Quality Prediction in Urbanized Watersheds through Stakeholder Co-Design and Multi-Model Integration

Shah, Vishwa SatishbhaiVirginia Tech2026

… future scenarios. The differences in simulated streamflow, pollutant loads (e.g., nitrogen, phosphorus), and sediment loads were quantified across the three models and three future scenarios. Despite using the same forcing, the three models produced different magnitudes of change in streamflow, …

vt Repository record for A framework for Improving Hydrologic and Water Quality Prediction in Urbanized Watersheds through Stakeholder Co-Design and Multi-Model Integration (opens in a new tab)

Data-driven analyses of watersheds as coupled human-nature systems

Schnier, Spencer TUniversity of Illinois at Urbana-Champaign2016

… as coupled human-nature systems, namely streamflow frequency and instream biotic integrity. We also aim to understand how the dominant controls of these emergent properties change through time. This study targets these needs by quantitatively linking natural and anthropogenic drainage …

uiuc Repository record for Data-driven analyses of watersheds as coupled human-nature systems (opens in a new tab)

IMPACTS OF URBAN DEVELOPMENT PATTERN ON RUNOFF PEAK FLOWS AND STREAMFLOW FLASHINESS OF PERI-URBAN CATCHMENTS: ASSESSING THE PERFORMANCE OF PHYSICAL AND DATA-DRIVEN MODELS FOR REAL-TIME ENSEMBLE FLOOD FORECASTING

Kasaee Roodsari, Babak

… the forecast ability for real-time flood prediction. Following advances in satellite and ground-based meteorological observations, global and continental real-time ensemble flood forecasting systems use a variety of physical hydrology models to predict urban peak flows. Artificial …

syracuse-diss Repository record for IMPACTS OF URBAN DEVELOPMENT PATTERN ON RUNOFF PEAK FLOWS AND STREAMFLOW FLASHINESS OF PERI-URBAN CATCHMENTS: ASSESSING THE PERFORMANCE OF PHYSICAL AND DATA-DRIVEN MODELS FOR REAL-TIME ENSEMBLE FLOOD FORECASTING (opens in a new tab)