FOR RE S
E
ER
CE
S
W
IN
AT
ER
CH
AR
CEN
T
GIS in Environmental and
Water Resources Engineering
R
U
RESO
Research Progress Report
Oct 30, 1998
Research Areas
• Texas data and water
modeling: Hudgens,
Mason, Davis
Jonsdottir, Gu, Niazi
• Environmental Risk
Assessment: HayWilson, 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: HayWilson, 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 Construction
Download and Project rf3 File:
Edit rf3 to Obtain “Clean” Network:
Create Outlet Points
Using 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-Prepro
on 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 file
Rf3 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
GIS Application to TxRR
Ungaged Inflow and Instream
Habitat Modeling
CRWR, the University of Texas at
Austin
Texas Water Development Board
TxRR Model
Initial Abstraction
Precipitation P
Direct runoff QD
Soil Retention S
Maximum Soil
Moisture SMMAX
Stream Flow
Base Flow QB
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
Input Data
GIS
Output data
TxRR Program
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: HayWilson, 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
Hook
Progress 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: HayWilson, 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 on
Fine Grid
Research Areas
• Texas data and water
modeling: Hudgens,
Mason, Davis
Jonsdottir, Gu, Niazi
• Environmental Risk
Assessment: HayWilson, 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
Resultant
Septic
Runoff
System
conc
MS/MH MS/MH PMA PMA % RB % RB %
%
%
Failure Rate Model RO Model BF
Landuse
Type
(fc/100ml) % Red % Imp % Red
Imp
Red
Imp Effective Remain
(%)
Conc
Conc
11
Urban
2000
2000
100
12
Urban
2000
2000
100
13
Urban
2000
2000
100
14
Urban
2000
2000
100
16
Urban
2000
2000
100
17
Urban
2000
2000
100
18
Rur Res
8000
0.07
0.07
560
100
19
Rur Ind
10000
10000
100
21
AgLand
1500
1500
100
23
CAFO
38905
0.4
0.54
0.6
0.56
0.25 0.05
0.49
0.51
20000
1000
24
AgLand
1500
1500
100
31
Range
20
20
5
42
Forest
20
20
5
43
Forest
20
20
5
51
Water
0
0
0
53
Water
0
0
0
62
Wetlands
0
0
0
74
Barren
20
20
5
75
Barren
20
20
5
Miami River Data - Analysis using
Summarize by Zones
Landuse
11
18
21
23
24
42
43
51
62
Land Type
Urban
Rur Res
AgLand
CAFO
AgLand
Forest
Forest
Water
Wetlands
Total
Miami Runoff (cf/yr) Miami Baseflow (cf/yr) Runoff conc Baseflow Conc
6,373,520
14,798,682
2000
100
3,710,585
9,117,052
560
100
11,567,971
28,957,584
1500
100
31,036,984
77,448,448
20000
1000
242,047
585,000
1500
100
2,137,857,664
4,674,283,520
20
5
198,224,096
458,412,832
20
5
14,410,322
0
0
0
446,856
1,080,000
0
0
2,403,870,045
5,264,683,118
Total Run + Bflow
Q*C
14226908200
2989632800
20247714900
6.98188E+11
421570500
66128570880
6256546080
0
0
8.08459E+11
7,668,553,163
Pred Conc
(fc/100ml)
Number to match is 133 fc/100 ml
•
•
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.
105
Tide Volumes and Detention Times
Segment Name
Main Bay
Main Bay
Cape Meares
Flower Pot
Upper Bay
Growing Management
Prohibited
Conditionally Approved
Conditionally Approved
Restricted
Prohibited
Area (sq ft)
38,513,980
106,330,392
74,312,616
21,975,494
101,338,632
Perimeter (ft)
50,591
42,280
38,397
29,768
59,668
Segment
Main Bay - Prohibited
Main Bay - Conditional
Cape Meares
Flower Pot
Upper Bay
Entire Bay
Low Tide Volume
(million cf)
497.59
408.37
111.5
19.9
66.23
1103.59
Mean Tide Volume
(million cf)
630.42
796.97
344.36
95.36
334.96
2202.07
Hi Tide Volume
(million cf)
781.61
1219.11
638.74
182.39
737.78
3559.63
Acc Runoff (cf/yr) Acc Baseflow (cf/yr)
2,969,500,928
6,014,152,192
789,442,688
224,035,568
644,523,072
332,789,056
201,451,328
131,975,008
31,885,703,168
69,625,946,112
36,490,621,184
76,328,897,936
td for Low Tide
(days)
1.61
1.44
0.40
0.07
0.24
4
td for Mean Tide
(days)
2.04
2.80
1.22
0.34
1.20
7
td for High Tide
(days)
2.53
4.29
2.27
0.65
2.65
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: HayWilson, 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)
Some
DLG
792
No
DLG
798
Actual
Total
All
DLG
811
Katy
155
162
196
164
Bear
48
42
90
56
Langham 91
93
58
64
821
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
Iowa-Cedar
Rock
Contribution of
Des Moines River
Alone: 128,000 cfs
Tributary: 49,000 cfs
Des Moines
1-day, 100-yr peak flow
450000
400000
Des Moines
Mean Daily
Discharge (cfs)
350000
300000
250000
200000
150000
0
50
100
150
200
250
300
350
Distance (miles)
University of Texas at Austin
Jerry Perales
Soil Moisture Modeling in HECHMS
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
Analysis
ArcView 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 HECHMS. 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: HayWilson, 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
Pantex Benzene monitoring data served by MO ArcExplore.
Kevin.wei
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.
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 only
interested 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