Bacteria Loadings Watershed Model Copano Bay watershed Copano Bay watershed Copano Bay Carrie Gibson CE 394K.2 Surface Water Hydrology Spring Semester.

Slides:



Advertisements
Similar presentations
Space-Time The ESRI Time Project – Comments by Steve Kopp
Advertisements

Snapshot of Northeast Ohio Environment. Overview Topography Watersheds Parks and Conservation Areas Land Cover (developed areas, forests, wetlands, agriculture)
DETERMINING LAND DEVELOPMENT EFFECT ON SURFACE RUNOFF USING GIS.
NUTRIENT RUNOFF EFFECTS ON JORDAN LAKE Brianna Young, Jennifer Jackson and Emily Nurminen.
The World of GIS Hydro ‘98 David R. Maidment University of Texas at Austin Presented by:
Introduction to NHDPlus: A Framework for Advanced Water Applications Cindy McKay Horizon Systems Corporation Cindy McKay Horizon Systems Corporation.
TEXAS COASTAL WETLANDS Surface Water and its link to coastal wetlands loss Christine Otto.
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….
National Hydrography Data Use and Applications.
CURVE NO. DEVELOPMENT STEP 8 Soils data, land use data, watershed data, and CN lookup table are used to develop curve numbers for use in the SCS Curve.
PrePro2004: Comparison with Standard Hydrologic Modeling Procedures Rebecca Riggs April 29, 2005.
1-Degree USGS DEM Control Points Locations National Hydrography Dataset (NHD) Drainage Lines Corrected Stream Lines Filled DEM Burned DEM Flow Area Accumulation.
DEM-Based Stream and Watershed Delineation
CRWR-PrePro Francisco “Paco” Olivera, Ph.D. Center for Research in Water Resources University of Texas at Austin Francisco Olivera 1998 ESRI User Conference.
GIS Modeling Venkatesh Merwade, University of Texas at Austin Interdisciplinary aquatic modeling workshop, July 21, 2005.
CRWR-PrePro: A System of GIS Tools for HEC-HMS Modeling Support
Water Quality Modeling in GIS Application of Schematic Network Processing Schema Links and Nodes have unique behaviors based on their type A framework.
Lab 3 hydrological application using GIS. Deriving Runoff Characteristics ArcGIS Flow Diagram Load DEM Fill sinks Compute flow direction Compute flow.
Urban Storm-Water Management Plan Utilizing Arc View and HEC-HMS College Station, Texas Kara Corcoran CVEN 689.
NHD Watershed: Tools and Applications
Interface data models Model 1 Model 2 Model 3 GIS Geo Database Arc Hydro data model Geographically Integrated Hydrologic Modeling Systems.
GIS Tools for Watershed Delineation Public Policy Perspectives Teaching Public Policy in the Earth Sciences April 21, 2006 Gary Coutu Department of Geography.
Nonpoint Source Pollution u Some basic principles u Example study of total pollution loads in the Corpus Christi Bay System –rainfall-runoff relationship.
Digital Elevation Model Based Watershed and Stream Network Delineation Understanding How to use Reading
GIS in Watershed Analysis. Why watershed Analysis with GIS? Concepts Important datasets Analysis Tools.
Thematic Workshop on Standardization and Exchange of Land Use and Cover Information Wednesday, April 27, 2005 Chicago, Illinois.
Applying TxRR to Texas Coastal Basins Victoria Samuels CE 394K.2.
Modeling bacteria flow from wildlife in the Leon River Basin, TX Sonny Kwon.
Application of GIS and Terrain Analysis to Watershed Model Calibration for the CHIA Project Sam Lamont Robert Eli Jerald Fletcher.
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://
Creating Watersheds and Stream Networks
Monte Carlo analysis of the Copano Bay fecal coliform model Prepared by, Ernest To.
DIGITAL ELEVATION MODELING GEOG 421: DR. SHUNFU HU, SIUE Project One Steve Klaas Fall 2013.
BASINS 2.0 and The Trinity River Basin By Jóna Finndís Jónsdóttir.
Map-Based Flood Hydrology and Hydraulics David R. Maidment Jan 10, 1998.
The Schematic Processor Presented by Dr. Tim Whiteaker The University of Texas at Austin 18 October, 2011.
Arc Hydro for SFWMD Hydroperiod Estimation Operations Decision
David R. Maidment New Project Opportunities 1.FEMA floodplain mapping information – 1 research assistant, funding initially for this year but will likely.
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.
Characterization of Watersheds from DEMs using Spatial Analyst/ArcHydro Robert G. Burns, P.G. Engineering Geologist DWR – Division of Safety of Dams Watershed.
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.
Nonpoint Source Pollution Some basic principles Example study of total pollution loads in the Corpus Christi Bay System (Ann Quenzer’s research) –rainfall-runoff.
In the City of Austin Bryan Barnett. Overview Atrophic Effects on the Hydrologic Cycle Potential Effects on the Surface Excessive Run-off High transport.
Patapsco and Back River HSPF Watershed Model Part I - Hydrology Maryland Department of the Environment.
Building Hydrologic Information Systems David R. Maidment Center for Research in Water Resources University of Texas at Austin Modeling.
Hydrological impacts of climate change over the contiguous United States: Project overview.
HEC-PrePro Workshop GIS Research Group Center for Research in Water Resources University of Texas at Austin Francisco Olivera HEC-PrePro v. 2.0 Workshop.
Bacterial TMDL Model for Copano Bay Research performed by Carrie Gibson at Center for Research in Water Resources Schematic processor tool developed by.
Modified Rational Method for Texas Watersheds

Best Management Practices Implemented in Lower Bear River
Arc Hydro for EPA Basins
Nutrient Runoff Effects on Jordan Lake
Water Quality Analysis for Selected Streams in Utah and Idaho
Nonpoint Source Pollution
Hydro Networks in GIS Review of key concepts in Ex 4
Hydro Networks in GIS Network model Flow on Networks
GIS FOR HYDROLOGIC DATA DEVELOPMENT FOR DESIGN OF HIGHWAY DRAINAGE FACILITIES by Francisco Olivera and David Maidment Center for Research in Water Resources.
GIS Aspect We used GIS to extract the watershed basin we were going to focus on so that we could obtain the NLCD landcover data for the catchments the.
Hydrologic Analysis of the Hyrum Reservoir watershed
Bacteria Loadings Watershed Model:
Welcome to GIS in Water Resources 2009
Hydrologic Study of the Sandies & Elm Watershed
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.
Water Quality Modeling
Hydrologic modeling of Waller Creek
Presentation transcript:

Bacteria Loadings Watershed Model Copano Bay watershed Copano Bay watershed Copano Bay Carrie Gibson CE 394K.2 Surface Water Hydrology Spring Semester 2005 University of Texas at Austin Instructor: David R. Maidment

Background Section 303(d) of 1972 Clean Water Act (CWA) Section 303(d) of 1972 Clean Water Act (CWA) Texas Surface Water Quality Standards Texas Surface Water Quality Standards Fecal Coliform Bacteria Fecal Coliform Bacteria Enterococci Enterococci Aransas River Copano Bay Mission River

1. Identify major bacterial sources in Copano Bay watershed. 2. Calculate total bacterial loadings, Total Maximum Daily Loads (TMDLs), from bacterial sources. 3. Determine amount of load reductions that is needed to meet water quality standards. Project Overview

Objective of Term Project Model the accumulation and transport of bacteria from upstream watersheds to Copano Bay. Model the accumulation and transport of bacteria from upstream watersheds to Copano Bay. Use Model Builder in Arc Toolbox of ArcGIS 9.0. Use Model Builder in Arc Toolbox of ArcGIS 9.0. Modify Schematic Processor. Modify Schematic Processor. Decays bacteria loads along streams segments Decays bacteria loads along streams segments Calculates increase in concentration in bay due to upstream bacteria loadings (CFSTR model) Calculates increase in concentration in bay due to upstream bacteria loadings (CFSTR model)

GIS Data Preparation: Arc Hydro Terrain Preprocessing Terrain Preprocessing Watershed Delineation Watershed Delineation Create Geometric Network Create Geometric Network Use WRAP Hydro Use WRAP Hydro Bacteria Monitoring Stations USGS Gauge Stations Water Segment Endpoints Watersheds

Basis of Calculations Load (cfu/year) = Flow (m 3 /year) * Concentration (cfu/m 3 )

Runoff Calculations Ann Quenzer’s Thesis (based on land use) Ann Quenzer’s Thesis (based on land use) Agriculture Agriculture Q = * exp ( * P ) Forest Forest Q = * exp ( * P ) Urban Urban Q = 0.24 * P Open Water Open Water Q = 0 Q = Runoff (mm/year) P = Precipitation (mm/year) – from PRISM

Runoff Calculations (continued) Tools Used Tools Used Spatial Analyst Spatial Analyst Analysis Mask Analysis Mask Raster Calculator Raster Calculator Example: Agriculture Example: Agriculture Mosaic Mosaic Q = * exp ( * ) = Q Agriculture + Q total (mm/yr) Q OpenWater +Q Forest + Q Urban = PQ

Runoff Calculations (continued) Model Builder (Overview) Agriculture Forest Urban Open Water

Spatial Analyst/Raster Calculator Spatial Analyst/Raster Calculator [mm/year]*(30m)*(30m)*(1m/1000mm) = [m 3 /yr] [mm/year]*(30m)*(30m)*(1m/1000mm) = [m 3 /yr] 0.9 * [mm/year] = [m 3 /year] Zonal Statistics Zonal Statistics Sum of runoff in delineated watersheds Sum of runoff in delineated watersheds Runoff Calculations (continued) Model Builder (Overview) Runoff per Watershed (m 3 /year)

Event Mean Concentrations (EMCs) From Reem Jihan Zoun’s thesis, Estimation of Fecal Coliform Loadings to Galveston Bay From Reem Jihan Zoun’s thesis, Estimation of Fecal Coliform Loadings to Galveston Bay Join EMC table to Land Use polygon feature class Join EMC table to Land Use polygon feature class Land Use Code Category Fecal Colonies per 100 mL 11 Open Water 0 21 Low Intensity Residential 22, High Intensity Residential 22,000 23Commercial/Industrial/Transportation22, Bare Rock/Sand/Clay 0 32 Quarries/Strip Mines/Gravel Pits 0 41 Deciduous Forest 1, Evergreen Forest 1, Mixed Forest 1,000 51Shrubland2,500 61Orchards/Vineyards/Other2,500 71Grasslands/Herbaceous2,500 81Pasture/Hay2, Row Crops 2, Small Crops 2, Urban/Recreational Grasses 22, Woody Wetlands Emergent Herbaceous Wetlands 200

Event Mean Concentrations (continued) Model Builder (Overview) cfu/m 3

Event Mean Concentrations (continued) * [C (cfu/m 3 )][Q (m 3 /yr)] Sums grid cell values for each watershed = [(cfu/yr)] Annual Bacterial Loading per grid cell Model Builder (Overview)

Bacterial Loading (cfu/year) Bacterial Loadings per Watershed

Model Builder: Summary Runoff (m 3 /yr) Concentration (cfu/m 3 ) Load (cfu/year) Cumulative Loading per Watershed Cumulative Runoff per Watershed Schematic Processor

Schematic Processor Schematic Network Schematic Network Feature Classes Feature Classes SchemaNode (watershed or junction in stream network) SchemaNode (watershed or junction in stream network) SchemaLink (straight lines that connect Schematic nodes) SchemaLink (straight lines that connect Schematic nodes) Watershed Drainage Junction Bay Watershed to Junction Junction to Junction Junction to Bay

Schematic Processor (continued) Implemented using dynamic linked libraries, DLLs Implemented using dynamic linked libraries, DLLs clsDecay.dll clsDecay.dll Simulates decay of bacteria along stream segments Simulates decay of bacteria along stream segments load passed = load received * e -kt load passed = load received * e -kt k = first-order decay coefficient (day -1 ) - stored as attribute in SchemaLink t = travel time along streams, t (days) - stored as attribute in SchemaLink Decay

Schematic Processor (continued) clsCFSTR.dll clsCFSTR.dll Calculates the increase in concentration of a bay due to bacteria loadings. Calculates the increase in concentration of a bay due to bacteria loadings. Assumptions Assumptions Bay is completely mixed and acts as Continuous Flow, Stirred Tank Reactor (CFSTR) Bay is completely mixed and acts as Continuous Flow, Stirred Tank Reactor (CFSTR) Inflow = Outflow Inflow = Outflow c = L/(Q+kV) c = L/(Q+kV) c = concentration in bay (cfu/m 3 ) L = bacteria load entering bay (cfu/yr) Q = total flow (m 3 /yr) – stored as attribute in SchemaNode k = first-order decay coefficient (day -1 ) - stored as attribute in SchemaNode V = volume of bay (m 3 ) – stored as attribute in SchemaNode

Parameters (Inputs) Parameters (Inputs) SchemaLink (SrcTypes 1 and 2) SchemaLink (SrcTypes 1 and 2) Travel Time (t in days), Decay Coefficient (k in day -1 ) Travel Time (t in days), Decay Coefficient (k in day -1 ) SchemaNode SchemaNode SrcType 3 – Copano Bay SrcType 3 – Copano Bay Volume (V in m 3 ), Decay Coefficient (k in day -1 ) Volume (V in m 3 ), Decay Coefficient (k in day -1 ) Cumulative Runoff (Q in m 3 /year) Cumulative Runoff (Q in m 3 /year) SrcType 1 – Watersheds SrcType 1 – Watersheds Bacterial Loading per Watershed (L in cfu/year) Bacterial Loading per Watershed (L in cfu/year) Schematic Processor: Summary Determined by User Calculated from Previous Steps in Model Builder

Results: Cumulative Runoff (m 3 /yr)

Results: Bacterial Loading (cfu/yr)

Results: Concentration (cfu/100mL)

Tasks to be Completed Determine travel times of river segments and decay coefficients of bacteria. Determine travel times of river segments and decay coefficients of bacteria. Incorporate point source bacteria loadings into non- point source bacteria loading model. Incorporate point source bacteria loadings into non- point source bacteria loading model. Determine locations and bacteria loadings from horses, cattle, waterbirds (probable candidates), WWTPs Determine locations and bacteria loadings from horses, cattle, waterbirds (probable candidates), WWTPs Compare model loads and concentrations to existing monitoring data. Compare model loads and concentrations to existing monitoring data.