Scientific Investigations Report 2006–5187
U.S. Geological Survey Scientific Investigations Report 2006–5187
ONLINE ONLY
By Paul A. Conrads, Edwin A. Roehl, Ruby C. Daamen, and Wiley M. Kitchens
Abstract
Introduction
Purpose and Scope
Description of Study Area
Previous Studies
Plant Ecology Studies
Hydrodynamic and Water-Quality Studies
Approach
Acknowledgments
Data Collection Networks
River Networks
Tidal Marsh Networks
Characterization of Streamflow, Water Level, and Specific Conductance
Calculated Variables, Data Preparation, and Signal Processing
Characterization of Streamflow
Characterization of River and Marsh Water Levels
Characterization of River and Marsh Specific Conductance
Simulating Riverine and Marsh Water Levels and Salinity
Limitations of the Data Sets
Signal Decomposition, Correlation Analysis, and State-Space Reconstruction
Signal Decomposition
Correlation Analysis
State-Space Reconstruction
Input-Output Mapping and Problem Representation
Decorrelation of Variables
Artificial Neural Network Models
Statistical Measures of Prediction Accuracy
Development of Artificial Neural Network Models
Riverine Water-Level Model at Little Back River near Limehouse
Riverine Specific-Conductance Model at Little Back River at USFW Dock
Marsh Water-Level Model at Little Back River at Site B2
Marsh Specific-Conductance Model at Site B2
Analysis of Estuary Dynamics Using Three-Dimensional Response Surfaces
Development of a Model-to-Marsh Decision Support System
Architecture
Historical Database
Linkage to the Three-Dimensional Hydrodynamic Model
Model Simulation Control, User-Defined Hydrographs Program, Streaming Graphics,
and Two-Dimensional Color-Gradient Visualization Program
Application of the Model-to-Marsh Decision Support System
User-Defined Hydrology
Percentile and Constant Streamflow
Percent of Historical Streamflow
Percentile Hydrograph of Daily Streamflow
User-Defined Streamflow Hydrograph
Inputs to Model-to-Marsh from Three‑Dimensional Model Output
Summary
References
Appendix I. Summary statistics for the water-level and specific-conductance models used in the study
Appendix II. Model summary of artificial neural network models used in the Model-to-Marsh application
Appendix III. Variables used in artificial neural network models
Appendix IV. User’s Manual for Model-to-Marsh Decision Support System
U.S. Department of the Interior | U.S. Geological Survey
Persistent URL: https://pubs.water.usgs.gov/sir20065187/contents.htm
Contact Information: Paul A. Conrads
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