Water Quality Modeling of Bonnet Carré Freshwater Flows in the Pontchartrain Estuary Rachel Roblin Alex McCorquodale Ioannis Georgiou.

Slides:



Advertisements
Similar presentations
Brenda Leroux Babin. Two significant events in Louisiana Mississippi River Diversion Hurricanes (2005 and 2008) Ecological impacts Change in salinity.
Advertisements

Introduction of Version 2.0b Significant changes to sediment model –Box volumes are no longer static. –Net sedimentation is constrained by box geometry.
Source: C. Benton Monitoring Program Development David Senn, Emily Novick, Anthony Malkassian February 4, Background/assumptions 2.Monitoring Program.
U.S. Department of the Interior U.S. Geological Survey Welcome to the USGS Webinar: New Science and Online Management Tools to Help Guide Action on Nutrients.
LANDSAT Aug 31, 2011 Sediment transport and deposition: salinity fronts and storm events David Ralston, Rocky Geyer, John Warner, Gary Wall Hudson River.
OMSAP Public Meeting September 1999 The Utility of the Bays Eutrophication Model in the Harbor Outfall Monitoring Program James Fitzpatrick HydroQual,
Scenario Builder and Watershed Model Progress toward the MPA Gary Shenk, Guido Yactayo, Gopal Bhatt Modeling Workgroup 12/2/14 1.
BUILDING STRONG ® US Army Corps of Engineers BUILDING STRONG ® Support to Gulf Coast Recovery U.S. Army Engineer Research and Development Center Coastal.
Abstract A new method for prediction of temporal and spatial variation of water quality accounting for groundwater effect has been proposed and applied.
WP12. Hindcast and scenario studies on coastal-shelf climate and ecosystem variability and change Why? (in addition to the call text) Need to relate “today’s”
Engineering Hydrology (ECIV 4323)
MA PREVENTION OF HARMFUL ALGAL BLOOMS VIA PREDICTIONS OF FERTILIZER RUNOFF.
Combining Long-term And High Frequency Water Quality Data To Understand Ecological Processes In Estuaries Jane Caffrey Center for Environmental Diagnostics.
US Army Corps of Engineers ® Engineer Research and Development Center West Bay Diversion Evaluation 1-Dimensional Modeling CWPPRA Technical Committee and.
Brian Haggard Arkansas Water Resources Center UA Division of Agriculture Arkansas Water Resources Center.
Local flood forecasting for local flood risk areas Keith Beven, David Leedal, Peter Young and Paul Smith Lancaster Environment Centre.
Chesapeake Bay Program Incorporation of Lag Times into the Decision Process Gary Shenk 10/16/12 1.
Nancy N. Rabalais et al. Ocean Deoxygenation and Coastal Hypoxia
El Vado Dam Hydrologic Evaluation Joseph Wright, P.E. Bureau of Reclamation Technical Services Center Flood Hydrology and Meteorology Group.
Satellite Data Assimilation into a Suspended Particulate Matter Transport Model.
1 Using Multi-temporal MODIS 250 m Data to Calibrate and Validate a Sediment Transport Model for Environmental Monitoring of Coastal Waters.
A T HREE- D IMENSIONAL W ATER Q UALITY M ODEL OF S OUTHERN P UGET S OUND Greg Pelletier, P.E., Mindy Roberts, P.E., Skip Albertson, P.E., and Jan Newton,
Virtual Weir Phase 5 Investigations (Preliminary Results) Canberra 29 September, 2009.
Ecological Forecasting for the Great Lakes Regional Data Exchange Workshop University at Buffalo May 15, 2008 Joseph Atkinson Great Lakes Program University.
Nonpoint Source Pollution u Some basic principles u Example study of total pollution loads in the Corpus Christi Bay System –rainfall-runoff relationship.
Jeff J. Dauzat LDEQ Southeast Regional Office New Orleans, Louisiana (504) Bonnet Carre’ Spillway Opening
Development of a Linked Hydrodynamic – Sediment Transport – Water Quality Model for the Lower Maumee River and Western Lake Erie Basin Joseph DePinto,
Update on Chesapeake Bay Model Upgrade Projects Blue Plains Regional Committee Briefing November 30, 2004 Presented by: Steve Bieber Metropolitan Washington.
OHHI Beach Modeling Group Meeting March 23, 2006 GLERL, Ann Arbor, MI Project Summary Project Title: Predicting Pathogen Fate in the Great Lakes Coastal.
SJR DWSC DO Modeling HydroQual, Inc. Andy Thuman, P.E. Laurie De Rosa SJR Technical Working Group May 16, 2006.
Water Quality Monitoring and Constituent Load Estimation in the Kings River near Berryville, Arkansas 2009 Brian E. Haggard Arkansas Water Resources Center.
Water Quality Sampling, Analysis and Annual Load Determinations for Nutrients and Solids on the Ballard Creek, 2008 Arkansas Water Resources Center UA.
Update on Chesapeake Bay Model Upgrade Projects Briefing to Potomac River Integrated Monitoring Stakeholders March 20, 2006 Presented by: Steve Bieber.
CE 424 HYDROLOGY 1 Instructor: Dr. Saleh A. AlHassoun.
Assessment of Runoff, Sediment Yield and Nutrient Load on Watershed Using Watershed Modeling Mohammad Sholichin Mohammad Sholichin 1) Faridah Othman 2)
Lake Pontchartrain Water Quality Monitoring March – May 2008 Bonnet Carre Spillway Opening Andrea Bourgeois-Calvin Program Coordinator Bonnet Carre Workshop.
National Consultation with TNMC 3 May 2005, Bangkok WUP-FIN Phase II – Bank erosion study.
Engineering Hydrology (ECIV 4323)
Review of DWSC Modeling- what should we do next? Russ Brown, Jones & Stokes DO-TMDL Technical Work Group May 16,2006.
The NOAA Hydrology Program and its requirements for GOES-R Pedro J. Restrepo Senior Scientist Office of Hydrologic Development NOAA’s National Weather.
Dennis Demcheck, Scott Mize, & Stan Skrobialowski USGS Louisiana Water Science Center In cooperation with the U.S. Army Corps of Engineers June 13, 2008.
 Instrumentation  CTD  Dissolved Oxygen Sensor  ADCP/ Current Meters  Oxygen Titrations  Nutrient Concentrations Circulation and Chemical Tracer.
ROMS hydrodynamic model ROMS-RCA model for hypoxia prediction RCA biogeochemical model Model forced by NARR/WRF meteorological forcing, river discharge.
Watershed Monitoring and Modeling in Switzer, Chollas, and Paleta Creek Watersheds Kenneth Schiff Southern California Coastal Water Research Project
Role of the Texas Water Development Board in Environmental Flow studies Barney Austin Surface Water Resources Division Texas Water Development Board May.
Kakanui Rachel Ozanne, Water Quality Scientist. Long-term (SOE) monitoring Water quality ~78 sites Monthly sampling.
Total Loads and Water Quality in the Corpus Christi Bay System Presented by: Ann Quenzer and Dr. David Maidment Special Thanks: Corpus Christi Bay National.
Steps for the Development of a Model: The case of the Historical Phosphorus Loading Model By Helen Carr.
Development of the Neuse Estuary Eutrophication Model: Background and Calibration By James D. Bowen UNC Charlotte.
Modeling transport and deposition of the Mekong River sediment Z. George Xue 1 * Ruoying He 1, J.Paul Liu 1, John C Warner 2 1.Dept. of Marine, Earth and.
Development, Testing and Application of the Multi-Block LTFATE Hydrodynamic and Sediment Transport Model Earl J. Hayter See instructions for customizing.
A Shallow-water Coastal Habitat Model for Regional Scale Evaluation of Management Decisions in the Chesapeake Region C. L. Gallegos, D. E. Weller, T. E.
State Agency Needs for Remote Sensing Data Related to Water Quality By Bob Van Dolah Marine Resources Research Institute South Carolina Department of Natural.
Flood Routing Applied Hydrology
Abstract Man-made dams influence more than just the flow of water in a river. The build up of sediments and organic matter, increased residence times,
Copper Source Loading Estimates (Process Profiles) Physical & Chemical Characterization of Wear Debris (Clemson University) Water Quality Monitoring (ACCWP)
HARBOR UPDATE Transfer of Nut Island flows, and changes in the water quality of Boston Harbor David Taylor.
FIGURE 17.1 A simple nitrogen and water balance for ‘‘Dave the Sea Lion.’’ Both nitrogen and water flows are in units of grams per 40 days. See text for.
Approach in developing PnET-BGC model inputs for Smoky Mountains
Comparison of modeled and observed bed erodibility in the York River estuary, Virginia, over varying time scales Danielle Tarpley, Courtney K. Harris,
Precipitation-Runoff Modeling System (PRMS)
Engineering Hydrology (ECIV 4323)
Bahram Khazaei, Hector Bravo, and Harvey Bootsma
Elizabeth River PCB TMDL Study: Numerical Modeling Approach
James River PCB TMDL Study: Numerical Modeling Approach
Engineering Hydrology (ECIV 4323)
Watersheds and Flow Impacts on the Mission-Aransas Estuary
Engineering Hydrology (ECIV 4323)
“Characteristics of Suspended Sediment and Flow in Downstream of Mekong River, Southern Vietnam” 5/22/2019 Duong Thai Bang (M2) (Supervised by Prof. Maki.
Results and discussion
Presentation transcript:

Water Quality Modeling of Bonnet Carré Freshwater Flows in the Pontchartrain Estuary Rachel Roblin Alex McCorquodale Ioannis Georgiou

Model Background.1-D tidal, salinity, and water quality model was developed to simulate the response of the Pontchartrain Estuary to Bonnet Carré Flows.The model was calibrated and validated using a 17- year period (1990 – 2007) of water quality data collected by USGS, LADEQ, USACE, LPBF, UNO and others. Water quality was calibrated using the 1997 Bonnet Carré opening.

Model Background and Development Cell-Link model structure for the Pontchartrain Estuary

Mass Balance Model Hydrology (Precipitation, evaporation, runoff) for the interior. Hydraulics of passes, MRGO, ICWW, Rigolets Chef Menteur, IHNC and Pass Manchac. Sediment Loads. Sediment resuspension and deposition. Tides and tidal exchange of sediment and salinity between Mississippi and the interior.

Hydraulics Hydrology Salinity Balance Suspended Sediment McCorquodale and Georgiou, 2007 McCorquodale et al, 2008

Algal Bloom Risk Model Turbidity Temperature Nutrients Salinity

Algal Bloom Risk Model This probability approach was first presented by McCorquodale et al (2004) and was supported by the research of Ismail (1999) Haralampides (2000) Dortch (1999, 2001)

Water quality Model Diagram showing chemical interactions considered in the Pontchartrain Estuary model (Roblin, 2008)

Live Algae as bloom indicator Roblin, 2008 Thomman and Mullen, 1987

Boundary Conditions Hourly input (tides, wind) Daily input (tributary flows, sediment and nutrient loads, including atmospheric deposition of nitrogen based on Wang, 2003 ) Monthly input (precipitation and evapotraspiration)

Calibration (nitrogen)

Calibration (phosphorus)

Validation (Salinity)

Applications Bonnet Carré (1997 and 2008) 2008 opening of the Bonnet Carré Spillway (photos by Georgiou, 2008)

Bonnet Carré Spillway 1997 hydrograph shifted to end of April

Early simulations using 1997 hydrograph Probability of an algal bloom on northeast Lake Pontchartrain with live algae concentrations (April 2008 opening with 1997 flow conditions).

2008 Bonnet Carré Flow (estimate) ~167,000 cfs* Leakage flow estimate * Flow estimates are based on reports by the USACE on number of open bays (linear interpolation between reports); Leakage flow is based on Cruise 2007 weir equation; Head above weir based on measured stage at Bonnet Carré in Mississippi River; Weir elevations obtained by Brantley 2008 (personal communication).

Simulated Salinity for 2008 based on 2008 Bonnet Carré Flow and the 1990 Tributary Flows.

Simulated DIN for 2008 based on 2008 Bonnet Carré Flow and the 1990 Tributary Flows.

Simulated Live Algae Index for 2008 based on 2008 Bonnet Carré Flow and the 1990 Tributary Flows.

Probability that the Ambient Conditions are Ideal for an Algal Bloom for 2008 based on 2008 Bonnet Carré Flow and the 1990 Tributary Flows.

Summary The model predicts that algal blooms will occur in Lake Pontchartrain starting in the 3rd week of May and lasting through June. The predicted algal bloom in northwest Lake Pontchartrain in late May has the highest probability of occurring (for the 1997 event) There simulations indicate that the earliest algal bloom (May) can be expected in the Northwest part of the Lake. The algal bloom in the South is suppressed initially but could occur in late June. It is interesting that the greatest potential algal bloom does not correspond to the highest DIN concentration which occurs in the Southwest. This is consistent with the simulations using the 1997 Spillway hydrograph lagged in time to start when the 2008 opening occurred.

……and future work Extend work to 3D for spatial distribution of plume capture, and better prediction of algae blooms (based on work by Chilmakuri 2005, McCorquodale et al. 2008, and Georgiou et al. 2007), based on the ECOMSED and FVCOM hydrodynamic and sediment transport models. Validate model results with current and future observations of bloom observations (spatial and temporal based on MODIS data and in-situ observations of estuarine recovery.

Thank you Questions…???

???