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GIS in Water Resources: Lecture 1

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GIS in Water Resources: Lecture 1. In-class and distance learning Geospatial database of hydrologic features GIS and HIS Curved earth and a flat map. Lectures Powerpoint slides Video streaming Readings “Arc Hydro: GIS in Water Resources” and other materials Homework Computer exercises - PowerPoint PPT Presentation
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GIS in Water Resources: Lecture 1 In-class and distance learning Geospatial database of hydrologic features GIS and HIS Curved earth and a flat map
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Page 1: GIS in Water Resources: Lecture 1

GIS in Water Resources: Lecture 1

• In-class and distance learning• Geospatial database of hydrologic features • GIS and HIS• Curved earth and a flat map

Page 2: GIS in Water Resources: Lecture 1

Six Basic Course Elements

• Lectures– Powerpoint slides– Video streaming

• Readings– “Arc Hydro: GIS in Water Resources” and

other materials• Homework

– Computer exercises– Hand exercises

• Term Project– Oral presentation– HTML report

• Class Interaction– Email– Discussion

• Examinations– Midterm, final

Page 3: GIS in Water Resources: Lecture 1

Our ClassroomDr David Tarboton

Students at Utah State University

Dr David Maidment Students at UT Austin

Dr Ayse Irmak Students at University of Nebraska - Lincoln

Page 4: GIS in Water Resources: Lecture 1

University Without Walls

Traditional Classroom CommunityInside and OutsideThe Classroom

Page 5: GIS in Water Resources: Lecture 1

Learning Styles

• Instructor-Centered Presentation• Community-Centered Presentation

Student

Instructor

We learn from the instructors and each other

Page 6: GIS in Water Resources: Lecture 1

GIS in Water Resources: Lecture 1

• In-class and distance learning• Geospatial database of hydrologic features • GIS and HIS• Curved earth and a flat map

Page 7: GIS in Water Resources: Lecture 1

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: GIS in Water Resources: Lecture 1

Data Model based on Inventory of data layers

Page 9: GIS in Water Resources: Lecture 1

Spatial Data: Vector format

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

Line - a sequence of points

Polygon - a closed set of lines

Node

vertex

Vector data are defined spatially:

Page 10: GIS in Water Resources: Lecture 1

Themes or Data Layers

Vector data: point, line or polygon features

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Kissimmee watershed, Florida

Themes

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Attributes of a Selected Feature

Page 13: GIS in Water Resources: Lecture 1

Raster and Vector Data

Point

Line

Polygon

Vector Raster

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

Zone of cells

Page 14: GIS in Water Resources: Lecture 1

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

Santa Barbara, California

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How do we combine these data?

Digital ElevationModels

Watersheds Streams Waterbodies

Page 16: GIS in Water Resources: Lecture 1

An integrated raster-vector

database

Page 17: GIS in Water Resources: Lecture 1

GIS in Water Resources: Lecture 1

• In-class and distance learning• Geospatial database of hydrologic features • GIS and HIS• Curved earth and a flat map

Page 18: GIS in Water Resources: Lecture 1

Linking Geographic Information Systems and Water Resources

GIS WaterResources

Page 19: GIS in Water Resources: Lecture 1

Point Water Observations Time Series

A point location in space A series of values in time

Page 20: GIS in Water Resources: Lecture 1

RainfallWater quantity

Meteorology

Soil water

Groundwater

This System IntegratesMany Types of Water Observations Data

Water quality

Page 21: GIS in Water Resources: Lecture 1

A Key Challenge

GISWater Environment(Watersheds, streams,gages, sampling points)

How to connect water environment with water observations

Time Series Data

Water Observations(Flow, water levelconcentration)

Page 22: GIS in Water Resources: Lecture 1

CUAHSI Member Institutions

122 Universities as of August 2009

Page 23: GIS in Water Resources: Lecture 1

Hydrologic Information System Goals

• Data Access – providing better access to a large volume of high quality hydrologic data;

• Hydrologic Observatories – storing and synthesizing hydrologic data for a region;

• Hydrologic Science – providing a stronger hydrologic information infrastructure;

• Hydrologic Education – bringing more hydrologic data into the classroom.

Page 24: GIS in Water Resources: Lecture 1

This is Enabled by WaterML A Web Language for Water Observations Data

. . .Adopted by USGS, and other agencies for Publishing Some of their Data

GetValues Response in WaterML

Page 25: GIS in Water Resources: Lecture 1

The CUAHSI Data Catalog IntegratesMulti Source Water Data Services

. . . The Worlds Largest Water Data Catalog

• 47 services

• 15,000 variables

• 1.8 million sites

• 9 million series

• 4.3 billion data Values

Map Integrating NWIS, STORET, & Climatic Sites

Page 26: GIS in Water Resources: Lecture 1

Three Basic Internet Components: Catalog, Server, User Linked by HTML

Catalog

UserServerHTML

Page 27: GIS in Water Resources: Lecture 1

CUAHSI HIS Components Linked by WaterML

Catalog

UserServerWaterML

Page 28: GIS in Water Resources: Lecture 1

Organize Water Data Into “Themes” Integrating Water Data Services From Multiple Agencies

. . . Across Groups of Organizations

Page 29: GIS in Water Resources: Lecture 1

Bringing Water Into GIS

Thematic Maps of Water Observations as GIS Layers

Groundwater

Salinity

Streamflow

Unified access to water data in Texas ….

Page 30: GIS in Water Resources: Lecture 1

Arc Hydro: GIS for Water Resources

• Arc Hydro– An ArcGIS data model for water

resources– Arc Hydro toolset for implementation– Framework for linking hydrologic

simulation models

The Arc Hydro data model andapplication tools are in the publicDomain.

Published in 2002, now in revision for Arc Hydro II

Page 31: GIS in Water Resources: Lecture 1

Arc Hydro — HydrographyThe blue lines on maps

Page 32: GIS in Water Resources: Lecture 1

Arc Hydro — HydrologyThe movement of water through the hydrologic system

Page 33: GIS in Water Resources: Lecture 1

Integrating Data Inventory using a Behavioral Model

Relationships betweenobjects linked by tracing pathof water movement

Page 34: GIS in Water Resources: Lecture 1

Flow

Time

Time Series

Hydrography

Hydro Network

Channel System

Drainage System

Arc Hydro Components

Page 35: GIS in Water Resources: Lecture 1

Hydrologic Information System

Analysis, Modeling, Decision Making

Arc Hydro Geodatabase

A synthesis of geospatial and temporal data supporting hydrologic analysis and modeling

Page 36: GIS in Water Resources: Lecture 1
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Page 38: GIS in Water Resources: Lecture 1
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Page 40: GIS in Water Resources: Lecture 1

GIS in Water Resources: Lecture 1

• In-class and distance learning• Geospatial database of hydrologic features • GIS and HIS• Curved earth and a flat map

Page 41: GIS in Water Resources: Lecture 1

Origin of Geographic Coordinates

(0,0)Equator

Prime Meridian

Page 42: GIS in Water Resources: Lecture 1

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 43: GIS in Water Resources: Lecture 1

Latitude and Longitude in North America

90 W120 W 60 W

30 N

0 N

60 NAustin:

Logan:

Lincoln:

(30°18' 22" N, 97°45' 3" W)

(41°44' 24" N, 111°50' 9" W)

40 50 59 96 45 0

(40°50' 59" N, 96°45' 0" W)

Page 44: GIS in Water Resources: Lecture 1

Map Projection

Curved EarthGeographic coordinates: f, l

(Latitude & Longitude)

Flat Map Cartesian coordinates: x,y

(Easting & Northing)

Page 45: GIS in Water Resources: Lecture 1

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 46: GIS in Water Resources: Lecture 1

Coordinate Systems

(fo,lo)(xo,yo)

X

Y

Origin

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

Page 47: GIS in Water Resources: Lecture 1

Summary (1)

• GIS in Water Resources is about empowerment through use of information technology – helping you to understand the world around you and to investigate problems of interest to you

• This is an “open class” in every sense where we learn from one another as well as from the instructors

Page 48: GIS in Water Resources: Lecture 1

Summary (2)

• GIS offers a structured information model for working with geospatial data that describe the “water environment” (watersheds, streams, lakes, land use, ….)

• Water resources also needs observations and modeling to describe “the water” (discharge, water quality, water level, precipitation)

Page 49: GIS in Water Resources: Lecture 1

Summary (3)

• A Hydrologic Information System depends on water web services and integrates spatial and temporal water resources data

• Geography “brings things together” through georeferencing on the earth’s surface

• Understanding geolocation on the earth and working with geospatial coordinate systems is fundamental to this field


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