Methodology for Flow and Salinity Estimates in the Sacramento-San Joaquin Delta and Suisun Marsh

22nd Annual Progress Report
August 2001

FOREWORD

This is the twenty-second annual progress report of the California Department of Water Resources’ San Francisco Bay-Delta Evaluation Program, which is carried out by the Delta Modeling Section.

It documents progress in the development and enhancement of the Delta Modeling Section’s computer models and reports the latest findings of studies conducted as part of the program. This report was compiled by Michael Mierzwa under the direction of Paul Hutton, program manager for the Bay-Delta Evaluation Program.

On-line versions of previous annual progress reports are available at: http://modeling.water.ca.gov/branch/reports.html

For more information contact:

Paul Hutton
hutton@water.ca.gov
 (916) 653-6501 		-or- Michael Mierzwa
mmierzwa@water.ca.gov
 (916) 653-9794

TABLE OF CONTENTS

1 INTRODUCTION

2 DSM2 CALIBRATION AND VALIDATION
2.1 Introduction
2.2 Choice of Model Grid
2.3 DSM2-HYDRO Calibration
2.4 DSM2-QUAL Calibration
2.5 DSM2 Validation
2.6 General Comments on DSM2 Calibration / Validation
2.7 Conclusion
2.8 References

3 SIMULATION OF HISTORICAL DOC AND UVA CONDITIONS IN THE DELTA
3.1 Introduction
3.2 Study Assumptions
3.3 Validation Results
3.4 Future Directions
3.5 References

4 VALIDATION OF DISPERSION USING THE PARTICLE TRACKING MODEL IN THE SACRAMENTO-SAN JOAQUIN DELTA
4.1 Introduction
4.2 PTM Model
4.3 Data
4.4 Modeling Results
4.5 DSM2 Results
4.6 Conclusions
4.7 Future Directions
4.8 References

5 DSM2 SAN JOAQUIN RIVER BOUNDARY EXTENSION
5.1 Introduction
5.2 Description
5.3 Model Geometry Development
5.4 Geometry Refinement
5.5 Historical Study Development
5.6 Future Directions
5.7 References

6 DISSOLVED OXYGEN AND TEMPERATURE MODELING USING DSM2
6.1 Introduction
6.2 Model Input
6.3 Calibration
6.4 Validation
6.5 Conclusions
6.6 References

7 INTEGRATION OF CALSIM AND ARTIFICIAL NEURAL NETWORKS FOR SACRAMENTO-SAN JOAQUIN DELTA FLOW-SALINITY RELATIONSHIPS
7.1 Introduction
7.2 Background
7.3 Implementations of Artificial Neural Networks in CALSIM
7.4 Limitations
7.5 Recommendations
7.6 References

8 AN INITIAL ASSESSMENT OF DELTA CARRIAGE WATER REQUIREMENTS USING A NEW CALSIM FLOW-SALINITY ROUTINE
8.1 Introduction
8.2 Background
8.3 A New CALSIM Routine to Estimate Delta Flow-Salinity Relationships
8.4 Methodology for Estimating Carriage Water Requirements
8.5 Results
8.6 Discussion
8.7 References

9 USE OF REPEATING TIDES IN PLANNING RUNS
9.1 Introduction
9.2 Design Repeating Tide
9.3 Results
9.4 Recommendations

10 PLANNING TIDE AT THE MARTINEZ BOUNDARY
10.1 Introduction
10.2 Available Data
10.3 Tidal Composition
10.4 Astronomical Estimation
10.5 Residual Tide
10.6 Reconstruction
10.7 Implementation and Discussion
10.8 References

11 IMPROVING ESTIMATES OF SALINITY AT THE MARTINEZ BOUNDARY
11.1 Introduction
11.2 G-model Basics
11.3 Tidal Model
11.4 Mathematical Formulation
11.5 Estimation
11.6 Validation and Discussion
11.7 References

12 DSM2 REAL-TIME FORECASTING SYSTEM
12.1 Introduction
12.2 Background
12.3 Real-Time Modeling Forecast Process
12.4 Running Alternative Scenarios
12.5 Conclusions
12.6 Future Directions
12.7 References

Editor: Michael Mierzwa

Last revised: 2001-11-20

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