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GIS Modeling

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GIS Modeling Venkatesh Merwade, University of Texas at Austin Interdisciplinary aquatic modeling workshop, July 21, 2005 Overview GIS and data representation ... – PowerPoint PPT presentation

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Title: GIS Modeling


1
GIS Modeling
  • Venkatesh Merwade, University of Texas at Austin

Interdisciplinary aquatic modeling workshop, July
21, 2005
2
Overview
  • GIS and data representation
  • Geodatabase design
  • Vector and surface analysis
  • 3D and visualization in GIS
  • GIS and Modeling
  • Case studies

3
Geographic Data Model
  • Conceptual Model a set of concepts that
    describe a subject and allow reasoning about it
  • Mathematical Model a conceptual model expressed
    in symbols and equations
  • Data Model a conceptual model expressed in a
    data structure (e.g. ascii files, Excel tables,
    ..)
  • Geographic Data Model a conceptual model for
    describing and reasoning about the world
    expressed in a GIS database

4
Data Model based on Inventory of data layers
5
Vector Data
(x2, y2)
(x2, y2)
(x1, y1)
(x1, y1)
(x1, y1)
(x1, y1)
(x4, y4)
(x1, y1)
(x3, y3)
(x1, y1)
Point pair of (x,y) coordinates
Line a sequence of points
Polygon a closed set of lines
All vector shapes (2D and 3D) are made from a set
of points.
6
Vector Data for Guadalupe Basin in Texas
Monitoring Points USGS gaging stations
Stream Network Low resolution NHD Flowlines
Watershed 8 digit HUC units
7
Measure in ArcGIS
A PolylineMZ can store m and z at each vertex
along with x and y coordinates.
64.0056
112.3213
0
8
Raster Data
Number of columns
Cell Size
Number of rows
Cell
Cell Value
Example, Digital Elevation Model
9
Raster ?? Vector
Vector
Raster
Point
Line
Zone of cells
Polygon
10
Triangulated Irregular Network
11
How do we combine these data?
Digital Elevation Models
Streams
Watersheds
Waterbodies
12
An integrated raster-vector database
13
Overview
  • GIS and data representation
  • Geodatabase design
  • Vector and surface analysis
  • 3D and visualization in GIS
  • GIS and Modeling
  • Case studies

14
Geodatabase Design
GeoDatabase (stores geographic data organized
into datasets and feature classes )
Feature Dataset (collection of feature classes
and relationship classes)
Raster Catalog (a collection of raster datasets)
Polyline Feature class
Point Feature class
Polygon Feature class
Relationship class
Object class
15
Data Model Based on Behavior
Follow a drop of water from where it falls on
the land, to the stream, and all the way to the
ocean. R.M. Hirsch, USGS
16
Integrating Data Inventory using a Behavioral
Model
Relationships between objects linked by tracing
path of water movement
17
Arc Hydro Data Model
  • A geospatial and temporal data model for water
    resources

Arc Hydro framework
HydroEdge
Watershed
Personal Geodatabase
HydroJunction
Feature Dataset
Network
Hydro Edge
Hydro Junction
Watershed
Relationships
18
Overview
  • GIS and data representation
  • Geodatabase design
  • Vector and surface analysis
  • 3D and visualization in GIS
  • GIS and Modeling
  • Case studies

19
Vector Analysis
  • Attribute tools
  • Join/relate, calculations
  • Topology and Network analysis
  • geometric networks and solvers
  • Geo-processing
  • Batch processing of geometries

20
Attribute Relationships
ReachHasCrossSections
21
Calculations using vector attributes
2
1
3
Wshed 1 Area 2.47 CN 71.64 PR 32.20 Wshed
2 Area 3.49 CN 65.01 PR 32.66 Wshed 3
Area 23.30 CN 68.70 PR 32.51
22
Geometric Network
Geometric Network for Streams in Upper Guadalupe
Trace Downstream
Network Flag
Trace Upstream
Find Path
23
Geo-processing
24
Surface analysis
  • Raster Models
  • Perform simple algebraic calculations on raster
    cells
  • Drainage Analysis using DEM
  • Flow direction, flow accumulation, watershed
    delineation

25
Runoff calculations
Cell by cell evaluations of mathematical functions
26
Pollutant Loading Estimation
Load Mass EMC Runoff
Computation of pollutant load (fecal coliform) to
Galveston Bay in Texas.
27
Drainage Analysis
75
77
79
85
92
DEM
Flow Direction Grid
Contributing areas and stream definition
Stream Cell
Eight direction pour point model
28
Zonal Stats Area, CN and PR
29
Overview
  • GIS and data representation
  • Geodatabase design
  • Vector and surface analysis
  • 3D and visualization in GIS
  • GIS and Modeling
  • Case studies

30
3D Representation of MODFLOW
Control volume for the model domain
Vertical dimension 75 meters
Each cell in the 2D representation is transformed
into a 3D object (Multipatch)
Example from Savannah River in Georgia
31
3D HydroElement
32
Rainfall and Streamflow Variations
29 hour duration, 15-minute interval
33
Tracking Fecal Bacteria in Galveston Bay
34
Overview
  • GIS and data representation
  • Geodatabase design
  • Vector and surface analysis
  • 3D and visualization in GIS
  • GIS and Modeling
  • Case studies

35
GIS and Modeling
  • Loose coupling
  • Use GIS to extract input data and display output
  • Model runs independent of GIS
  • Tight coupling
  • GIS and model are integrated in one system (eg.
    EPA Basins)
  • Hydrologic Information Systems
  • Framework for coupling

36
Loose Coupling
  • HEC-GeoRAS
  • GIS interface for HEC-RAS
  • cross-sections, reaches, bank-lines in GIS
  • Creates geometry files
  • Display Results in GIS

37
Tight Coupling
  • GIS and model are integrated within one system
    (eg. EPA Basins)
  • Tool development in GIS to simulate hydrologic
    processes
  • Dynamic Link Libraries
  • Code development
  • Must keep up with technology and model development

38
Hydrologic Information System
A hydrologic information system is a combination
of geospatial and temporal hydrologic data with
hydrologic models that supports hydrologic
practice, science and education
39
Connecting Arc Hydro and Hydrologic Models
Interfacedata models
GIS
HMS
HMS IDM
Geo Database
Arc Hydro data model
RAS
RAS IDM
40
ArcGIS Model Builder
41
Overview
  • GIS and data representation
  • Geodatabase design
  • Vector and surface analysis
  • 3D and visualization in GIS
  • GIS and Modeling
  • Case studies

42
From a NEXRAD Map to a Floodplain Map Center for
Research in Water Resources
Component 3 Creating a Flood Inundation Map
Component 1 Importing NEXRAD data into
Geodatabase and Mapping to Watersheds
Component 2 Hydrologic Hydraulic Integration
based on common geographic framework
Hydrologic Model HEC-HMS
Hydraulic Model HEC-RAS
NEXRAD Data
Salado Creek, San Antonio
Rosillo Creek
Watersheds
NEXRAD Rainfall
Geographic Integration using Arc Hydro
Component 3
Process Operations using Arc 9 Model Builder
Component 1
Component 4
Component 4
Component 2
Component 4
Component 3 Floodmapping from HEC-RAS GIS SDF
File
Component 4 Geodatabase to HEC-DSS to Geodatabase
Flood Inundation Polygon
DEM
Cross Sections with Water Surface Elevations
Water Surface Raster
Time Series in HEC-DSS
Time Series in Geodatabase
HEC Data Storage System for Time Series
Research funded by The San Antonio River Authority
43
Fish Habitat Modeling
44
Hydraulic and Biological Data
Attribute Table
Bathymetry Points
Habitat Descriptions
45
(No Transcript)
46
Summary
  • GIS can be used to store and visualize any type
    of data (geospatial and temporal)
  • Geodatabase Model for storing Data
  • Vector and surface analysis in GIS help
    accomplish data processing, parameter extraction
    and simple calculations
  • Hydrologic Information Systems provides a way to
    integrate simulation models with GIS using a
    standard protocol

47
Courtesy Texas Water Development Board
Questions
Thank you
  • David R. Maidment
  • Tim Whiteaker
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