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Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona University May 21 st 2008

Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

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Page 1: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Middle Verde Geospatial Database Project

Rob Ross and Abe Springer

Arizona Water Institute

Geospatial Research and Information Laboratory

Northern Arizona University

May 21st 2008

Page 2: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Outline

• Introduction to project

• Discussion of Geographical Information Systems (GIS)

• Data compilation and verification

• Design of conceptual model

• Design of analytical model

• Phase two of study

Page 3: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Study Reach

Page 4: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Introduction

• Yavapai County funded study to compile data for use in surface water flow model

• Objectives– Compilation of data– Editing and verification of data– Design of surface water flow (hydraulic)

model from GIS information

Page 5: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

What is a GIS?

• Geographic Information System• Collection of information including

geographic data (maps) and qualitative and quantitative information (names, area, flow rates, etc.) to create a graphical representation of a system

• Metadata describing the quality and scope of data (data about the data)

Page 6: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

GIS of study area

Page 7: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Attributes and Layers

• Attributes are tables of information linked to a graphical representation

• Layers are groups of shapefiles or file database information used to organize information

• Attributes enable labeling to show values/names of areas of interest

Page 8: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Attributes and Layers

Page 9: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Types of information included in GIS

• Line shapefiles• Point shapefiles• Polygon shapefiles• Added information

(pictures, sound/video files, etc.)

• Attribute tables

Page 10: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Uses for GIS

• Spatial decision support systems - ability to analyze geographic data to support decisions

• Automated spatial modeling - simulation and forecasting (i.e., surface flow model reacting within geographic constraints over time)

• Network analysis - calculate distances in relation to other data

Page 11: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Projection systems

• Accurately display information from a spherical world as a flat map

• Use coordinate projection systems to represent actual locations on maps

• Many data sources come from different data projections

• Convert into common projection

Page 13: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Data Collection Sources

• Yavapai County GIS Department• Arizona Department of Water

Resources 2000 report• Salt River Project GIS/Cartography

department• USGS • Eureka and Diamond S ditch

associations

Page 14: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Data Issues

• Compiled data from multiple sources• Differences in collection and scale• Variant projection systems• Different tolerance criteria • Sources used for different purposes• Data collected at different points over long

period of time

Page 15: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Primary Data Layers

• Irrigation

• Ditches

• Means Conveyance (laterals)

• Vegetation

• Aerial photography

• Well data

Page 16: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Primary Layers

Page 17: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Secondary Data Layers

• Land Parcel information

• Springs

• Verde river channel

• Tributary channels

• Roads

• Cities

Page 18: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Secondary/Reference Layers

Page 19: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Editing Protocol

• Layers edited over 12 inch pixel resolution aerial photography (PhotoMapper software)

• Edited for detail at 1:750 scale• Multiple fields merged for simplicity, where

common attributes permit• Polygons not drawn around

buildings/roads/property lines• Data updated where obvious changes are present• Consistent methods for different layers to create

uniform data system

Page 20: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Cottonwood

Page 21: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

1:2400 before editing

Page 22: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

1:2400 after editing

Page 23: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Lateral gate on Eureka Ditch

Page 24: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Eureka Ditch at Verde River Drive

Page 25: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Pioneer Ditch Sluice

Page 26: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Operation Data

Page 27: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Accuracy of edited layers

• 5 feet with irrigation layers• 5 feet in ditch layers• 5-20 feet in lateral locations• Error due to sub-grade duct routing and

estimation of boundaries of irrigation/vegetation layers

• Well layers are taken “as is” due to large number of locations, and access issues

Page 28: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

NEMO does not provide coverages at a ditch/diversion Scale, nor is their data ground checked.

NEMO

Page 29: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Phase Two

• Examination of modeling software

• Determination of necessary features in software

• Preparation of surface water flow model for Middle and Upper Verde River

Page 30: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Hydraulic Models

• Simulate flow of water in channels

• Channels can be natural and constructed

• Simulate surface-water/groundwater interactions

Page 31: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Hydrologic Models

• Simulate runoff in watersheds

• Typically difficult if not impossible to use in arid regions

Page 32: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Recommendations

• Use hydraulic model to simulatesteady baseflow in river and diversions

• Unsteady baseflow during diversion season

• Use HEC-RAS in WMS• GIS based 1D model• Can also be used to create floodplain

maps

Page 33: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

Summary

• Compiled all known existing information• Editing has greatly increased accuracy of

data, and provided operation data• Combination of remote sensing and field

checking has verified information• GIS will serve as a complete input system for

surface water flow model• Hydraulic flow model is most appropriate for

region

Page 34: Middle Verde Geospatial Database Project Rob Ross and Abe Springer Arizona Water Institute Geospatial Research and Information Laboratory Northern Arizona

AcknowledgementsMark Manone and GRAILLeslie Graser, ADWRJeanmarie Haney, TNCKevin Blake, Yavapai County GISGIS/Cartography Department, SRPKyle Blasch and Don Bills, USGSJohn Rasmussen, Yavapai CountyJohn McReynolds and Steve Ayers, Eureka Ditch AssociationFrank Geminden, Diamond S Ditch Association