A Water Quality Loading Model for Tillamook Bay Patrice A. Melancon Thanks to: Dr. David Maidment Dr. Michael Barrett Dr. Francisco Olivera Dr. Maidment’s.

Slides:



Advertisements
Similar presentations
21 February 2011 Tony Weber eWater Tools in Action – The Tamar and Esk Rivers Sediment Modelling using Source Catchments eWater Road Show 21 Feb – Part.
Advertisements

A Model for Evaluating the Impacts of Spatial and Temporal Land Use Changes on Water Quality at Watershed Scale Jae-Pil Cho and Saied Mostaghimi 07/29/2003.
RunoffRunoff Creating a spatially explicit runoff grid.
The World of GIS Hydro ‘98 David R. Maidment University of Texas at Austin Presented by:
Land Use and Water Quality in the Hudson River Amy Gao GIS in Water Resources November 16, 2010.
City of Austin Water Quality Master Planning - GIS Model David Maidment Francisco Olivera Mike Barrett Christine Dartiguenave Ann Quenzer CRWR - University.
Modeling Water Quality. Special reference of this work to….
Floodplain Mapping using HEC-RAS and ArcView GIS Eric Tate Francisco Olivera David Maidment
N ON- P OINT S OURCE P OLLUTION Analysis and Prediction in ArcView David Munn Texas A&M University/Dept. of Civil Engineering CVEN 689 Applications of.
1-Degree USGS DEM Control Points Locations National Hydrography Dataset (NHD) Drainage Lines Corrected Stream Lines Filled DEM Burned DEM Flow Area Accumulation.
CVEN 689 Instructor: Dr. Francisco Olivera Estimating Salt Concentration at Ungaged Locations from Parameters derived using GIS Ganesh Krishnamurthy Water.
School of Geography FACULTY OF ENVIRONMENT School of Geography FACULTY OF ENVIRONMENT GEOG5060 GIS and Environment Dr Steve Carver
Non-Point Source Pollutant Modeling Analysis and Prediction David Munn.
Water Quality Modeling in GIS Application of Schematic Network Processing Schema Links and Nodes have unique behaviors based on their type A framework.
NYCDEP Evaluation of Watershed Management Programs FAD requirement: Last one ; Next FAD Assessment : Use models to evaluate effects.
Engineering Hydrology (ECIV 4323)
Texas A&M University Department of Civil Engineering Cven689 – CE Applications of GIS Instructor: Dr. Francisco Olivera Logan Burton April 29, 2003 Application.
Urban Storm-Water Management Plan Utilizing Arc View and HEC-HMS College Station, Texas Kara Corcoran CVEN 689.
Monitoring Water Quality Using ArcView GIS Lindsay Chischilly Mentor: Dr. Don Huggins Will Spotts Jeff Anderson Kansas Biological Survey Haskell Indian.
Opportunities for Development of a Global Water Information System David R. Maidment, University of Texas at Austin Definition of an information system.
Chesapeake Bay Program Incorporation of Lag Times into the Decision Process Gary Shenk 10/16/12 1.
“Flood monitoring and mapping for Emergency Response in San Antonio-Texas” Part I by Silvana Alcoz Source photo Term.
FNR 402 – Forest Watershed Management
Bacteria Loadings Watershed Model Copano Bay watershed Copano Bay watershed Copano Bay Carrie Gibson CE 394K.2 Surface Water Hydrology Spring Semester.
Nonpoint Source Pollution u Some basic principles u Example study of total pollution loads in the Corpus Christi Bay System –rainfall-runoff relationship.
Effect of Climate Change on Sewer Overflows in Milwaukee WEFTEC 2012 October 2012 Bridging the gap between climate change research and the risk of overflows.
Estimating Pollutant Loads Caroni River Bolivar, Venezuela Global Applications of GIS Technology Lee Sherman.
Watershed Management Assessment Through Modeling: SALT and CEAP Dr. Claire Baffaut Water Quality Short Course Boone County Extension Office April 12, 2007.
Tyler C. Ladd and Dr. Robert Traver, Villanova University Evaluation of a Porous Concrete BMP: The Hydrologic Perspective Funding and Acknowledgments:
Soil Movement in West Virginia Watersheds A GIS Assessment Greg Hamons Dr. Michael Strager Dr. Jingxin Wang.
Patapsco/Back River SWMM Model Part I - Hydrology Maryland Department of the Environment.
al-weather-gang/wp/2014/10/28/hawaii- lava-flow-advances-now-less-than-100- yards-from-nearest-home-in- pahoa/?hpid=z3http://
CE 424 HYDROLOGY 1 Instructor: Dr. Saleh A. AlHassoun.
David Maidment & Lynn E. Katz & Imane Mrini Center for Research in Water Resources The University of Texas at Austin Total Maximum Daily Load for Zinc.
Engineering Hydrology (ECIV 4323)
Modes of Sustainability Definition  In text  In aquifer-storage terms  In water-budget terms  In physical changes at the river (natural side)
Patapsco and Back River HSPF Watershed Model Part II – Water Quality Maryland Department of the Environment.
The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Modeling Non-Point Source Pollution and Erosion into Gulf Coast Bays and.
HYDROLOGY OF THE INDUS BASIN, PAKISTAN GIS TERM PROJECT BY ELIZABETH OJEH 30 TH NOVEMBER, 2006.
Map-Based Flood Hydrology and Hydraulics David R. Maidment Jan 10, 1998.
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.
Land and Water Resource Information Systems By David R. Maidment Center for Research in Water Resources University of Texas at Austin Presented at UN.
ARC GIS IN THE SANTA RIVER BASIN IN PERU GIS in Water Resources Fall 2006 Professor: Dr. David Maidment Presented by Presented by Eusebio Ingol.
Surface Water Surface runoff - Precipitation or snowmelt which moves across the land surface ultimately channelizing into streams or rivers or discharging.
Water Quality Master Planning A Barton Creek Model Katherine G. Osborne CE 394K.2 Surface Water Hydrology.
Effect of Potential Future Climate Change on Cost-Effective Nonpoint Source Pollution Reduction Strategies in the UMRB Manoj Jha, Philip Gassman, Gene.
Modeling and Evaluating Best Management Practices in Austin, TX Presented by Lauren Schneider Environmental and Water Resources Engineering November 30,
Effects of N Loadings from Dairy Cows to the Susquehanna River Effects of N Loadings from Dairy Cows to the Susquehanna River Austin Weidner CE394K : GIS.
Jingqi Dong April 27 th, Contents Theories Methods to predict stream flow Tools HydroModeler in HydroDesktop Work done Calculated precipitable.
DEVELOPMENT OF A CELL BASED MODEL FOR STREAM FLOW PREDICTION IN UNGAUGED BASINS USING GIS DATA P B Hunukumbura & S B Weerakoon Department of Civil Engineering,
1 Byung Sik, Kim Kangwon National University Advanced Hydrology and Water Resources Management.
1 Application of SDI in hydrology for assessment of hydropower potential of small streams Subija IZEIROSKI Bashkim IDRIZI Sotir PANOVSKI Igor NEDELKOVSKI.
ANIMAL CONCENTRATION AREAS WORKSHEET Completing a Manure Management Plan Workshop v
Predicting the hydrologic implications of land use change in forested catchments Dennis P. Lettenmaier Department of Civil and Environmental Engineering.
Introduction to GIS David R. Maidment
Approaches to Continental Scale River Flow Routing
Global Hydrology and Resampling Flow Direction Data April 22, 1999
Calculating Hydrologic Parameters for Estimating Surface Water Flow at Ungaged Locations Richard Hoffpauir Water Resources Engineering.
Nonpoint Source Pollution
Welcome to GIS in Water Resources 2017
GIS FOR HYDROLOGIC DATA DEVELOPMENT FOR DESIGN OF HIGHWAY DRAINAGE FACILITIES by Francisco Olivera and David Maidment Center for Research in Water Resources.
URBAN NON-POINT SOURCE NUTRIENT IMPACTS
use of GIS to assess groundwater recharge in the Texas High Plains
Welcome to GIS in Water Resources 2009
Regional Hydraulic Model for the City of Austin
Welcome to GIS in Water Resources 2013
Welcome to GIS in Water Resources 2012
From GIS to HMS U.S. Army Corps of Engineers Hydrologic Engineering Center University of Texas at Austin Center for Research in Water Resources Francisco.
Development of a Hydrologic Model for the Wichita Falls District
Hydrologic modeling of Waller Creek
Presentation transcript:

A Water Quality Loading Model for Tillamook Bay Patrice A. Melancon Thanks to: Dr. David Maidment Dr. Michael Barrett Dr. Francisco Olivera Dr. Maidment’s Research Group

Outline 4 Introduction 4 Problem and Objective 4 Why use GIS? 4 Developing the Model 4 Using the Model 4 Conclusions and Future Work

Introduction 4 National Estuary Program 4 Tillamook Bay

Problem and Objective 4 My work is focusing on two issues: ²High Coliform loads ² High Sediment loads 4 Developing a model that can serve as a Management Tool

Problem History 4 Coliform contamination: ²Animals confined in winter; manure storage ²Liquid and solid manure applied as fertilizer ²Cow access to streams 4 Sediment contamination: ²Largely linked to logging practices ²Roads linked to frequent landslides

Why Use GIS? 4 Basic precept of Water Quality Modeling ²Load = Flow x Concentration 4 Spatial Variability 4 ArcView’s Hydrology Function 4 Grids and Coverages

GIS Grid Representation 4 Surface divided into equal-sized cells 4 Each cell has a value 4 Value represents only one specific characteristic Bay Depth Below MSL

GIS Coverage Representation 4 Surface represented as polygons, lines, or points 4 Each record contains information on multiple characteristics

Developing the Model 4 ArcView Hydrology Functions Flow Direction Flow Accumulation DEM Accumulation in Streams

Hydrology Model Streamflow = Runoff + Baseflow Precip Flow Runoff,R Baseflow,B B R

Average Annual Rainfall Precip, in

Hydrology Model P RO P BF Runoff Grid Baseflow Grid Precip Grid

Event Mean Concentrations Runoff Concentrations

Pollutant Loadings 4 EMC grid x Flow grid = Load grid 4 Flow accumulations of flow and load grids 4 Predicted pollutant concentrations = Accumulated Load Accumulated Flow

Using the Model 4 Incorporate Effects of BMPs ²Current focus is on CAFOs ²3 BMPs to model 4 Representing spatial distribution ²Farm location vs land affected ²Use spatial average 4 Analysis by subwatershed or land use

Model Analysis 4 Clip out subwatershed of interest 4 Export data to analyze BMP effects or contribution Trask River Land UseTrask River Coliform Runoff Load

Conclusions 4 Can build effective management tool 4 Effects of BMPs and relative contributions can be examined

Future Work 4 More work on sediment 4 Incorporate BMP effects 4 Model calibration