Middle Verde Geospatial Database Project

  • Published on

  • View

  • Download

Embed Size (px)


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. Outline. Introduction to project Discussion of Geographical Information Systems (GIS) - PowerPoint PPT Presentation


  • Middle Verde Geospatial Database Project Rob Ross and Abe SpringerArizona Water InstituteGeospatial Research and Information LaboratoryNorthern Arizona UniversityMay 21st 2008

  • OutlineIntroduction to project Discussion of Geographical Information Systems (GIS)Data compilation and verificationDesign of conceptual modelDesign of analytical modelPhase two of study

  • Study Reach

  • Introduction Yavapai County funded study to compile data for use in surface water flow modelObjectivesCompilation of dataEditing and verification of dataDesign of surface water flow (hydraulic) model from GIS information

  • What is a GIS?Geographic Information SystemCollection of information including geographic data (maps) and qualitative and quantitative information (names, area, flow rates, etc.) to create a graphical representation of a systemMetadata describing the quality and scope of data (data about the data)

  • GIS of study area

  • Attributes and LayersAttributes are tables of information linked to a graphical representationLayers are groups of shapefiles or file database information used to organize informationAttributes enable labeling to show values/names of areas of interest

  • Attributes and Layers

  • Types of information included in GIS Line shapefilesPoint shapefilesPolygon shapefilesAdded information (pictures, sound/video files, etc.)Attribute tables

  • Uses for GISSpatial decision support systems - ability to analyze geographic data to support decisionsAutomated 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

  • Projection systemsAccurately display information from a spherical world as a flat mapUse coordinate projection systems to represent actual locations on mapsMany data sources come from different data projectionsConvert into common projection

  • How Projections Workhttp://erg.usgs.gov/isb/pubs/MapProjections/graphics/mercator.gif

  • Data Collection SourcesYavapai County GIS DepartmentArizona Department of Water Resources 2000 reportSalt River Project GIS/Cartography departmentUSGS Eureka and Diamond S ditch associations

  • Data IssuesCompiled data from multiple sourcesDifferences in collection and scaleVariant projection systemsDifferent tolerance criteria Sources used for different purposesData collected at different points over long period of time

  • Primary Data Layers IrrigationDitchesMeans Conveyance (laterals)VegetationAerial photographyWell data

  • Primary Layers

  • Secondary Data LayersLand Parcel informationSpringsVerde river channelTributary channelsRoadsCities

  • Secondary/Reference Layers

  • Editing ProtocolLayers edited over 12 inch pixel resolution aerial photography (PhotoMapper software)Edited for detail at 1:750 scaleMultiple fields merged for simplicity, where common attributes permitPolygons not drawn around buildings/roads/property linesData updated where obvious changes are presentConsistent methods for different layers to create uniform data system

  • Cottonwood

  • 1:2400 before editing

  • 1:2400 after editing

  • Lateral gate on Eureka Ditch

  • Eureka Ditch at Verde River Drive

  • Pioneer Ditch Sluice

  • Operation Data

  • Accuracy of edited layers5 feet with irrigation layers5 feet in ditch layers5-20 feet in lateral locationsError due to sub-grade duct routing and estimation of boundaries of irrigation/vegetation layersWell layers are taken as is due to large number of locations, and access issues

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

  • Phase TwoExamination of modeling softwareDetermination of necessary features in softwarePreparation of surface water flow model for Middle and Upper Verde River

  • Hydraulic ModelsSimulate flow of water in channelsChannels can be natural and constructedSimulate surface-water/groundwater interactions

  • Hydrologic ModelsSimulate runoff in watershedsTypically difficult if not impossible to use in arid regions

  • RecommendationsUse hydraulic model to simulatesteady baseflow in river and diversionsUnsteady baseflow during diversion seasonUse HEC-RAS in WMSGIS based 1D modelCan also be used to create floodplain maps

  • SummaryCompiled all known existing informationEditing has greatly increased accuracy of data, and provided operation dataCombination of remote sensing and field checking has verified informationGIS will serve as a complete input system for surface water flow modelHydraulic flow model is most appropriate for region

  • 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



View more >