1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment,...

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1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives: Outline the various types of models that can be integrated with GIS Describe the geospatial database of hydrologic features Outline the Arc Hydro data model Demonstrate the use of curved earth and a flat map projections Handouts: Assignments: Get SCR login accounts
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Transcript of 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment,...

Page 1: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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CEE 795Water Resources Modeling and GIS

Session #1(some material from Dr. David Maidment, University of Texas)

January 18, 2006Learning Objectives:• Outline the various types of models that can be integrated with GIS• Describe the geospatial database of hydrologic features • Outline the Arc Hydro data model• Demonstrate the use of curved earth and a flat map projections

Handouts: Assignments:Get SCR login accounts

Page 2: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Water Resources Modeling and GIS: Session 1

• Water Resource Models and GIS

• Geospatial database of hydrologic features

• Arc Hydro data model

• Curved earth and a flat map

Page 3: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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GIS and Hydraulic Models

• HEC Geo-RAS• Used for Pre and Post

processing of data from HEC-River Analysis System (RAS)

• Open Channel flow model

Page 4: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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GIS and Hydrologic Models• Automated

Geospatial Watershed AssessmentTool (AGWA)

1992 NALC Hillshade DEM STATSGO

ForestOak WoodlandsMesquite WoodlandsGrasslandsDesertscrubRiparianAgricultureUrbanWaterBarren / Clouds

Land CoverForestOak WoodlandsMesquite WoodlandsGrasslandsDesertscrubRiparianAgricultureUrbanWaterBarren / Clouds

Land Cover

0 5 10 km0 5 10 km

NN

Page 5: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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GIS and Water Distribution Models

• Haestad WaterGEMS

Page 6: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Water Resources Modeling and GIS: Session 1

• Water Resource Models and GIS

• Geospatial database of hydrologic features

• Arc Hydro data model

• Curved earth and a flat map

Page 7: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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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

Page 8: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Data Model Data Model based on based on Inventory of Inventory of data layersdata layers

Page 9: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

Spatial Data: Vector format

PointPoint - a pair of x and y coordinates(x1,y1)

LineLine - a sequence of points

PolygonPolygon - a closed set of lines

Node

vertex

Vector data are defined spatially:

Page 10: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Themes or Data Layers

Vector data: point, line or polygon features

Page 11: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Kissimmee watershed, Florida

Themes

Page 12: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Attributes of a Selected Feature

Page 13: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

Raster and Vector Data

PointPoint

LineLine

PolygonPolygon

VectorVector RasterRaster

Raster data are described by a cell grid, one value per cell

Zone of cells

Page 14: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

14http://srtm.usgs.gov/srtmimagegallery/index.html

Santa Barbara, California

Page 15: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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How do we combine these data?

Digital ElevationModels

Watersheds Streams Waterbodies

Page 16: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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An integrated raster-vector

database

Page 17: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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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

Page 18: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Integrating Data Inventory using a Behavioral Model

Relationships betweenobjects linked by tracing pathof water movement

Page 19: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Water Resources Modeling and GIS: Session 1

• Water Resource Models and GIS

• Geospatial database of hydrologic features

• Arc Hydro data model

• Curved earth and a flat map

Page 20: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Arc Hydro: GIS for Water ResourcesPublished by ESRI Press

The Arc Hydro data model andapplication tools are in the publicdomain

Page 21: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Arc Hydro — Hydrography

Page 22: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Arc Hydro — Hydrology

Page 23: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Flow

Time

Time Series

Hydrography

Hydro Network

Channel System

Drainage System

Arc Hydro Components

Page 24: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Hydrologic Information System

Analysis, Modeling, Decision Making

Arc Hydro Geodatabase

Page 25: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Nexrad Radar Rainfall Map

Page 26: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Nexrad Map to Flood Map in Model Builder

FLOODPLAIN MAP

Flood map as output

Nexrad map as input

Model for flood flow

Model for flood

depth

HMS

Page 27: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Water Resources Modeling and GIS: Session 1

• Water Resource Models and GIS

• Geospatial database of hydrologic features

• Arc Hydro data model

• Curved earth and a flat map

Page 28: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Origin of Geographic Coordinates

(0,0)Equator

Prime Meridian

Page 29: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Latitude and Longitude

Longitude line (Meridian)N

S

W E

Range: 180ºW - 0º - 180ºE

Latitude line (Parallel)N

S

W E

Range: 90ºS - 0º - 90ºN(0ºN, 0ºE)

Equator, Prime Meridian

Page 30: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Latitude and Longitude in North America

90 W120 W 60 W

30 N

0 N

60 N

Austin: (30°N, 98°W)

Logan:(42°N, 112°W)

Page 31: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

Map Projection

Curved EarthGeographic coordinates: ,

(Latitude & Longitude)

Flat Map Cartesian coordinates: x,y

(Easting & Northing)

Page 32: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Earth to Globe to Map

Representative Fraction

Globe distanceEarth distance

=

Map Scale: Map Projection:

Scale Factor

Map distanceGlobe distance

=

(e.g. 1:24,000) (e.g. 0.9996)

Page 33: 1 CEE 795 Water Resources Modeling and GIS Session #1 (some material from Dr. David Maidment, University of Texas) January 18, 2006 Learning Objectives:

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Coordinate Systems

(o,o)(xo,yo)

X

Y

Origin

A planar coordinate system is defined by a pairof orthogonal (x,y) axes drawn through an origin