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Hydrologic Modeling

Numerical and statistical models provide tools to integrate our understanding of hydrologic processes with field data to address scientific and water-management questions. The New England Water Science Center develops models at a range of spatial and temporal scales to assess water availability and water quality and to evaluate the effects of human activities on hydrologic systems. 

Filter Total Items: 31

Development of Streamflow Record Extension Equations in New Hampshire

Currently, there are 16 designated rivers in New Hampshire in need of daily mean streamflow estimates for managing instream flows. Many of New Hampshire’s Designated Rivers have current and/or historical streamflow data that may be used to extend an existing streamgages streamflow record in time through record extension techniques. Evaluating the feasibility of record extension techniques to...
Development of Streamflow Record Extension Equations in New Hampshire

Development of Streamflow Record Extension Equations in New Hampshire

Currently, there are 16 designated rivers in New Hampshire in need of daily mean streamflow estimates for managing instream flows. Many of New Hampshire’s Designated Rivers have current and/or historical streamflow data that may be used to extend an existing streamgages streamflow record in time through record extension techniques. Evaluating the feasibility of record extension techniques to...
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Development of Regional Regression Equations to Estimate the Magnitude of Peak Flows for Selected Annual-Exceedance Probabilities in Maine

The flood-frequency characteristics for streamgages and regression equations for estimating flood magnitudes have been published.
Development of Regional Regression Equations to Estimate the Magnitude of Peak Flows for Selected Annual-Exceedance Probabilities in Maine

Development of Regional Regression Equations to Estimate the Magnitude of Peak Flows for Selected Annual-Exceedance Probabilities in Maine

The flood-frequency characteristics for streamgages and regression equations for estimating flood magnitudes have been published.
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Trend Reproduction

As part of the National Water Budget Project, our objective is to quantify how well observed trends are simulated.
Trend Reproduction

Trend Reproduction

As part of the National Water Budget Project, our objective is to quantify how well observed trends are simulated.
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HBMI PRMS Project

This project will provide a deterministic watershed model of the Meduxnekeag River watershed with a capacity to model water-temperatures capable of simulating future hydrologic and temperature changes based on projected climate estimates.
HBMI PRMS Project

HBMI PRMS Project

This project will provide a deterministic watershed model of the Meduxnekeag River watershed with a capacity to model water-temperatures capable of simulating future hydrologic and temperature changes based on projected climate estimates.
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Development of Regional Regression Equations in Connecticut

Knowledge of the magnitude and frequency of floods is needed for the effective and safe design of bridges, culverts, and other structures. This information is also important for flood-plain planning and management. Periodic examination of flood-frequency characteristics is essential to ensure the best estimates of flood magnitudes for a given annual exceedance probabilities (AEP).
Development of Regional Regression Equations in Connecticut

Development of Regional Regression Equations in Connecticut

Knowledge of the magnitude and frequency of floods is needed for the effective and safe design of bridges, culverts, and other structures. This information is also important for flood-plain planning and management. Periodic examination of flood-frequency characteristics is essential to ensure the best estimates of flood magnitudes for a given annual exceedance probabilities (AEP).
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SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1. Please use this version for compatibility with 64-bit Microsoft Office environments.
SELDM: Stochastic Empirical Loading and Dilution Model - Project page

SELDM: Stochastic Empirical Loading and Dilution Model - Project page

Note: SELDM is now on version 1.1.1. Please use this version for compatibility with 64-bit Microsoft Office environments.
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Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation

Note: SELDM is now on version 1.0.3 Please use the new version on the software support page here
Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation

Stochastic Empirical Loading and Dilution Model (SELDM) Transportation Research Board Presentation

Note: SELDM is now on version 1.0.3 Please use the new version on the software support page here
Learn More
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