GIS in Environmental and Water Resources Engineering

Research Progress Report Oct 30, 1998

Research Areas

• Texas data and water modeling: Hudgens, Mason, Davis Jonsdottir, Gu, Niazi

• Environmental Risk Assessment: Hay-Wilson, Romanek, Kim

• Global runoff: Asante, Lear

• Nonpoint source pollution: Melancon, Osborne

• Flood hydrology and hydraulics: Ahrens, Bigelow, Perales, Tate

• Internet: Wei

Research Areas

• Texas data and water modeling: Hudgens, Mason, Davis Jonsdottir, Gu, Niazi

• Environmental Risk Assessment: Hay-Wilson, Romanek, Kim

• Global runoff: Asante, Lear

• Nonpoint source pollution: Melancon, Osborne

• Flood hydrology and hydraulics: Ahrens, Bigelow, Perales, Tate

• Internet: Wei

Brad Hudgens

Geospatial Data Development for Water Availability Modeling

GIS & WAM

Digital Raster Graphic Basemap

Network Checking

David Mason

Geospatial Data Development for Water Availability Modeling

Stream Network ConstructionDownload and Project rf3 File: Edit rf3 to Obtain “Clean” Network:

Create Outlet PointsUsing the basin water right coverage as a guide, outlet points were created along the stream network in order to form control points for the eventual watershed delineation:

Trinity River TMDL

Subtask on Network Analyst

Kim Davis

For Starters...

This is the Guadalupe River Basin, after using CRWR-Preproon it and vectorizing the stream links.

It was a good test case because...

• Density--I wanted a small data set to learn with

• NO GAPS--Network Analyst doesn’t handle gaps or lakes well.

• Availability--I had already done the Prepro work for class...

Add some Points of Interest

These are evaporation stations from a coverage of Texas. In a real analysis,these might be water rights, point sources, stream gages, etc...

Use Network Analyst

This shows the results of route planning from a point to the outlet.

Cool Stuff

• Network analyst can be made to look only downstream

• Network analyst can be made to look only upstream

• Network analyst can look both ways

• It can show you hydrologic connectivity

• It doesn’t require that input data be digitized

• It handles points not EXACTLY on the network

Caveats

• Network is very sensitive to digitizing errors

• Won’t show you WHERE connectivity is broken

• Files must be prepared properly (From Nodes and To Nodes)

• Aimed at transportation, not rivers

Jona Finndis Jonsdottir

Geospatial Data for Total Maximum Daily Loads

Trinity Basin

RF3 River Network

Original RF3 fileRf3 file, where lakes and double lines have been taken out

Original Rf3 file Simplified version of Rf3, with centerlines

Richard Gu

GIS Connections for Hydrologic Modeling

CRWR, the University of Texas at Austin

Texas Water Development Board

GIS Application to TxRR Ungaged Inflow and Instream

Habitat Modeling

TxRR Model

Initial AbstractionPrecipitation P

Direct runoff QD

Base Flow QBStream FlowMaximum Soil

Moisture SMMAX

Soil Retention S

Soil Moisture SM

Percolation

Tasks

• Preprocessing Tools for TxRR

• TxRR Model Execution

• Postprocessing Tools for TxRR

Software Environment for TxRR Model Execution

Source Data

Database

GIS TxRR Program

Input Data Output data

Database

• Database construction is the essential part of the project.

• All the data will be stored and used efficiently.

• Data linking:

– GIS, Database, and TxRR model are constructed independently

– Data required for each procedure are retrieved from Database on demand

– Output data are written back to database .

• Software: Microsoft Access.

Arcview GIS

• Preprocessing tools.

• Output results display.

Programming Languages

• Fortran: TxRR Model Calculation.

• Visual Basic: database interfaces.

• Avenue: GIS tools developing and function invoking.

Implementation Issues

• Speed: Avenue or Basic

• Data interactions between programs

• Software integration

Surface/Subsurface Modeling

Progress Report by:

Shiva Niazi

Ann Dennis

October 30, 1998

Overview

• Background work conducted by HDR Engineering and LBG Guyton Assoc.

• Carrizo- Wilcox Aquifer Model Domain

• Conceptualizing the Subsurface/Surface Model

• Future Work

Difficulties in modeling the MODFLOW data

• MODFLOW model domain is not in “real” map coordinates

• Size of grid cells vary

• Direction of rows and columns are not standardized to North/South and East/West

Model Domain

Future Work

• Locate the MODFLOW model domain on a map

• Extract model domain by using county, river reach, HUC and aquifer maps

• Investigate the capabilities of Argus One and GMS to manipulate MODFLOW data files

Research Areas

• Texas data and water modeling: Hudgens, Mason, Davis Jonsdottir, Gu, Niazi

• Environmental Risk Assessment: Hay-Wilson, Romanek, Kim

• Global runoff: Asante, Lear

• Nonpoint source pollution: Melancon, Osborne

• Flood hydrology and hydraulics: Ahrens, Bigelow, Perales, Tate

• Internet: Wei

Lesley Hay Wilson

Spatial Environmental Risk Assessment

Current Research Status• Drafting dissertation proposal• Objective is to develop the spatial risk

assessment methodology– Spatial Risk Assessment (SRA) is the process of

identifying and quantifying the potential for adverse effects to human or ecological receptors from chemicals or radioactive materials released to the natural environment within a spatially-referenced, integrated modeling environment

Necessary Elements of the SRA Methodology

• Spatial Site Conceptual Model

• Connections to implement map-based modeling of fate & transport

• Meta data protocols for environmental measurements and derived results

• Managing time-dependent data sets

• Visualization of uncertainty

• Communication tools

Other Activities

• Completed workshop for PaDEP and EPA on the first CD (team)

• Presented two papers at the ASCE Geo Institute meeting, co-authored third paper

• Working on poster for ESP meeting next week (team)

• Completing paper for the 1999 CSIRO Remediation Conference (team)

Andrew Romanek

Surface Representation of the Marcus Hook Refinery

Current Activities

• Team Efforts:– PADEP Workshop on ArcView and Access– ESP Poster

• 1st year progress CD

• Groundwater Model with GMS

• Seminar next Wednesday

Groundwater Results• Lube Plant Area

• Steady State

• 3 layer simplification

• Where from here???

Spatial Analysis of Sources and Source Areas on Marcus

HookProgress report by Julie Kim

Friday, October 30, 1998

Objective

• To find a correlation between where chemicals were stored and where they were detected within the Lube Plant

Getting Started: Data Acquired

• Sept. 11, 1998 Former Marcus Hook Refinery progress documentation CD-Rom

• Tosco’s Environmental baseline assessment of areas of concern (AOC)

• Summary of chemicals of concern (COC) issues compiled on Sept. 28, 1998

• Appendix of data quality classification system

Current Work

• Compile map of coverages using CD-Rom: tank, old RCRA units, and historical

• Identify each unit or AOC and look up basis of concern in Tosco database

• Determine materials and volumes stored, time period of operation, and releases

• Determine quality of data

Future Work

• Develop contour maps of COC with associated data quality levels

• Determine correlation for the entire facility

Research Areas

• Texas data and water modeling: Hudgens, Mason, Davis Jonsdottir, Gu, Niazi

• Environmental Risk Assessment: Hay-Wilson, Romanek, Kim

• Global runoff: Asante, Lear

• Nonpoint source pollution: Melancon, Osborne

• Flood hydrology and hydraulics: Ahrens, Bigelow, Perales, Tate

• Internet: Wei

Kwabena Asante

Continental Scale Runoff Routing

Routing GCM Runoff

• Global Daily Precipitation Simulated

• Simulation on 128x64 (2.8o) mesh

• Runoff generated by soil water balance

• Runoff Routed to Continental margin

• 10 years of daily runoff routed

Major Basins of North America

Major Basins of Africa

Mary Lear

Grid Cell Translation from High to Low Resolution

Project Description

• Create an algorithm in Arc Macro Language (AML)

• Apply the algorithm to a sample area - Niger River Basin

• Examine the accuracy of output

• Apply the algorithm globally

Learning in Progress

• Understanding existing resampling AML programs

• Converting from grid to polygon coverage?

• Having fun learning AML

Low resolution mesh onFine Grid

Research Areas

• Texas data and water modeling: Hudgens, Mason, Davis Jonsdottir, Gu, Niazi

• Environmental Risk Assessment: Hay-Wilson, Romanek, Kim

• Global runoff: Asante, Lear

• Nonpoint source pollution: Melancon, Osborne

• Flood hydrology and hydraulics: Ahrens, Bigelow, Perales, Tate

• Internet: Wei

Patrice Melancon

Pollutant Loading Model for Tillamook Bay

Update on Patrice’s Work

• Have written about 25 pages; mostly database development and hydrology part.

• Assumptions made about BMP effectiveness and current level of implementation (based on 1991 Rural Clean Water Progress Report).

• Using Summarize by Zones, backed out to EMC for CAFO land use to match E&S averages for 5 basins - see next slides for data

• Calculated bay volumes and detention times for low, average, and high tides - see last slide for data.

• Doing literature search to support EMC values.

• Outline of report being written to help focus writing effort.

BMP Effects - CAFOs

Landuse Type

Resultant Runoff conc

(fc/100ml)MS/MH % Red

MS/MH % Imp

PMA % Red

PMA % Imp

RB % Red

RB % Imp

% Effective

% Remain

Septic System

Failure Rate (%)

Model RO Conc

Model BF Conc

11 Urban 2000 2000 10012 Urban 2000 2000 10013 Urban 2000 2000 10014 Urban 2000 2000 10016 Urban 2000 2000 10017 Urban 2000 2000 10018 Rur Res 8000 0.07 0.07 560 10019 Rur Ind 10000 10000 10021 AgLand 1500 1500 10023 CAFO 38905 0.4 0.54 0.6 0.56 0.25 0.05 0.49 0.51 20000 100024 AgLand 1500 1500 10031 Range 20 20 542 Forest 20 20 543 Forest 20 20 551 Water 0 0 053 Water 0 0 062 Wetlands 0 0 074 Barren 20 20 575 Barren 20 20 5

Miami River Data - Analysis using

Summarize by Zones

• Runoff Conc values linked to spreadsheet on previous slide. Model runoff conc for CAFOs changed to get reasonable results for predicted concentration for each of 5 watersheds.

• Kilchis, Tillamook, and Trask are somewhat overestimated. Wilson is somewhat underestimated.

Landuse Land Type Miami Runoff (cf/yr) Miami Baseflow (cf/yr) Runoff conc Baseflow Conc Q * C11 Urban 6,373,520 14,798,682 2000 100 1422690820018 Rur Res 3,710,585 9,117,052 560 100 298963280021 AgLand 11,567,971 28,957,584 1500 100 2024771490023 CAFO 31,036,984 77,448,448 20000 1000 6.98188E+1124 AgLand 242,047 585,000 1500 100 42157050042 Forest 2,137,857,664 4,674,283,520 20 5 6612857088043 Forest 198,224,096 458,412,832 20 5 625654608051 Water 14,410,322 0 0 0 062 Wetlands 446,856 1,080,000 0 0 0

Total 2,403,870,045 5,264,683,118 8.08459E+11

Total Run + Bflow 7,668,553,163Pred Conc (fc/100ml) 105

Number to match is 133 fc/100 ml

Tide Volumes and Detention Times

Segment Name Growing Management Area (sq ft) Perimeter (ft) Acc Runoff (cf/yr) Acc Baseflow (cf/yr)Main Bay Prohibited 38,513,980 50,591 2,969,500,928 6,014,152,192Main Bay Conditionally Approved 106,330,392 42,280 789,442,688 224,035,568

Cape Meares Conditionally Approved 74,312,616 38,397 644,523,072 332,789,056Flower Pot Restricted 21,975,494 29,768 201,451,328 131,975,008Upper Bay Prohibited 101,338,632 59,668 31,885,703,168 69,625,946,112

36,490,621,184 76,328,897,936

Segment

Low Tide Volume (million cf)

Mean Tide Volume (million cf)

Hi Tide Volume (million cf)

td for Low Tide

(days)

td for Mean Tide

(days)

td for High Tide

(days)

Main Bay - Prohibited 497.59 630.42 781.61 1.61 2.04 2.53Main Bay - Conditional 408.37 796.97 1219.11 1.44 2.80 4.29

Cape Meares 111.5 344.36 638.74 0.40 1.22 2.27Flower Pot 19.9 95.36 182.39 0.07 0.34 0.65Upper Bay 66.23 334.96 737.78 0.24 1.20 2.65

Entire Bay 1103.59 2202.07 3559.63 4 7 12

Katherine Osborne

Water Quality Master Planning for Austin

Watersheds delineated using 3” DEMs

outline of watersheds from the City of Austin

7.5’ DEM sheet labels

7.5’ DEMs imported using ArcView

Next Steps

• Import DEMs using ArcInfo

• Add USGS Gauge points

• Obtain stream file from City of Austin

• Delineate watersheds

• Submit these watersheds to COA

• Read Urban Model material

• Attend GIS class in CRP

Research Areas

• Texas data and water modeling: Hudgens, Mason, Davis Jonsdottir, Gu, Niazi

• Environmental Risk Assessment: Hay-Wilson, Romanek, Kim

• Global runoff: Asante, Lear

• Nonpoint source pollution: Melancon, Osborne

• Flood hydrology and hydraulics: Ahrens, Bigelow, Perales, Tate

• Internet: Wei

Seth Ahrens

Flood Forecasting in Houston

Final Version of Model

Comparison of Gauge Areas (km2)

AllDLG

SomeDLG

NoDLG

Actual

Total 811 792 798 821

Katy 155 162 196 164

Bear 48 42 90 56

Langham 91 93 58 64

Moving GridParm into an ArcView Environment

Goals by Next Meeting

• Finish GridParm conversion.

• Finish preparing all supporting data sets for the final report

• Have most if not all of report finished.

Ben Bigelow

Midwest Flood Frequency Analysis

Research Update

• Writing Methodology Chapter for Report

• Arranged travel to St. Louis for USACE meeting– HEC interested in research group’s DEM

display ideas/capabilities – any POWERPOINT presentations?

• Waiting on Rating curves for water surface profile

Design Discharge Profile, Mississippi River

University of Texas at Austin

150000

200000

250000

300000

350000

400000

450000

0 50 100 150 200 250 300 350

Des Moines

Rock

Iowa-Cedar

Des Moines

1-day, 100-yr peak flow

Mean Daily Discharge (cfs)

Distance (miles)

Contribution ofDes Moines RiverAlone: 128,000 cfsTributary: 49,000 cfs

Jerry Perales

Soil Moisture Modeling in HEC-HMS

Objective

The objective of my research is to use spatial data to develop soil moisture accounting schemes for the Tenkiller Watershed using ArcView and a prototype model in Visual Basic called the Soil Water Balance Modeling System (SWBMS) developed by Sean Reed.

Required Data

Existing STATSGO and SSURGO soil databases for the Tenkiller Watershed

A Nexrad cell mesh for the Tenkiller Watershed

AnalysisArcView will be used to preprocess soil and

land cover data with scripts created by Sean Reed. This preprocessed data will then be used as input data for SWBMS. The results of the water balance will then be compared to results which are produced by HEC-HMS. This comparison will help determine what modifications to the model are needed, if any.

Eric Tate

Mapping Flood Water Surface Elevation

Terrain Modeling

• Map cross-sections

• Create cross-section bounding polygon

• Convert DEM to points

• Intersect DEM points with bounding polygon

• Delete selected points

• Form a TIN: cross-section points control the channel and floodplain, DEM points control elsewhere

• Problems: ragged zone of transition, bridges/culverts

Waller Creek at Town Lake

Research Areas

• Texas data and water modeling: Hudgens, Mason, Davis Jonsdottir, Gu, Niazi

• Environmental Risk Assessment: Hay-Wilson, Romanek, Kim

• Global runoff: Asante, Lear

• Nonpoint source pollution: Melancon, Osborne

• Flood hydrology and hydraulics: Ahrens, Bigelow, Perales, Tate

• Internet: Wei

Kevin Wei

Displaying Environmental Maps on the Internet

Query Builder

Download

Here, you access data from the Web. Or you can open ArcExplore,a free download software,to do the some job.

I suggest don’t use Identify tool to query red one, because there are many data on the same location. Using Query builder is more efficient. if you like, you can query blue one which only contains geographic information to know which well is in where.

Pantex Benzene monitoring data served by MO ArcExplore. Kevin.wei

Query Builder

1. Want to know the Benzene monitoring result of well “OW-WR-19”.

2. Condition 1 and concentration higher than 0.005

and need all information.

3. Handle the query result. Two ways: (1) save as text file

(2) directly drag into Word or Excel.

Data Statistics

Data Download

Specified when serving data

You get a new shape file. If you are onlyinterested in part of area, you can zoom

in to there and download part of database.

Research Review

Next Research Progress Report

Friday Nov13, 1998, 2PM, ECJ 9.236