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Using Arc Hydro in FloridaUsing Arc Hydro in Florida

Alan Foley, P.E.September 8, 2008

Overview

Introductions Project drivers What is Arc Hydro? Arc Hydro in Florida

– The beginnings – Innovations and evolution– Considerations

What’s next?Note: some content in this presentation was obtained from SFWMD,SWFWMD, SJRWMD, ESRI, Dr. David Maidment, and other web-based unknowns.

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Introductions

Alan Foley Jones Edmunds

– Medium Sized Consulting Firm– Work throughout Florida (offices in Gainesville,

Jacksonville, Tampa, Titusville)

– Work primarily for public agencies (Counties, Cities,

WMDs, …..)

Class introductions/interests

Waters Resources Projects

Study – typical precursor to design– Watershed Assessments

Hydrology & hydraulics Water quality Water Supply

– Determine feasibility Design

– Site – stormwater ponds– Regional – mitigation areas, simultaneous fixes

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Project Drivers and Funding

- Regulations (Need)- Clean Water Act- TMDL’S- State Stormwater Regulations

- Grants (Means)- Federal (e.g. EPA)- State (e.g. WMD’s, DEP, DOT)- Stormwater utilities

- Local assessment- May fund studies that identify and fund

retrofits

Develop TMDLs

BMAPs(FDEP Implementation of TMDLs)

NDPES PERMITSCity MS4Main Street WRFKelly Power Plant

USEPA FDEPClean Water Act

1972

Wate

rshed

Res

t. Ac

t19

99

List Impaired Waters

Clean Water Act

1972

Watershed Restoration Act

Revisions in 2005

Consent Decree1999

Water Management

Districts(CUPs)

Watershed Restoration Act

1972

Regulatory Framework

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Florida TMDLs

FDEP Establishes criteria for creating TMDLs through the 2002 Impaired Waters Rule.

Participants & Work Environment

Academic– Research, Teaching, Extension

Public– City, County, State, Federal

Private– Consulting– Industry– Non-profit

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What is Arc Hydro?

Hydrography Channel Time Series

Flow

Time

Flow

Network

DrainagePoint

JunctionID

DrainageAreaAreaSqKmJunctionIDNextDownID

1Drainage

DrainageFeature

DrainID

Catchment BasinWatershed

DrainageLine

ComplexEdgeFeature

HydroJunction

SimpleJunctionFeature

HydroIDHydroCodeNextDownIDLengthDownDrainAreaFTypeEnabledAncillaryRole

EdgeType

1

Flowline

Shoreline

HydroEdge

HydroIDHydroCodeReachCodeNameLengthKmLengthDownFlowDirFTypeEdgeTypeEnabled

HydroPointEvent

Measure

HydroLineEvent

FMeasureTMeasureOffset

TimeSeries

Object

FeatureIDTSTypeTSDateTimeTSValue

HydroEvent

ReachCode

Object

CrossSection

CSCodeJunctionIDCSOriginProfileM

Object

ChannelFeature

ReachCodeRiverCode

CrossSectionPoint

CSCodeCrossMElevation

1

1..*

1

Feature

1Structure

MonitoringPoint

WaterWithdrawal

Bridge

Dam UserPoint

WaterDischarge

HydroResponseUnit

AreaSqKm

HydroPoint

JunctionID

HydroLine HydroArea

Waterbody

AreaSqKmJunctionID

FTypeProfOrigin

ProfileLine

Hydrography

FTypeName

HydroFeature

HydroIDHydroCode

HydroFeature

HydroIDHydroCode

HydroFeature

HydroIDHydroCode

HydroFeature

HydroIDHydroCode

SchematicNode

FeatureID

SchematicLink

FromNodeToNode

What is Arc Hydro?

Unique ID –HydroID Relationships– imbed the unique ID in feature classes

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Why Arc Hydro?

Manage and maintain data quickly, efficiently & accurately

Automate tedious & time consuming tasks

Cut costs

“Visualize” hydrologic features

Communicate data and concepts

What do you need for Arc Hydro?

What is GIS?

Procedures

What kind?

- An integration of five (or three) basic components

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What do you need for Arc Hydro?

Data types–Vector–Raster (Terrain)–Tabular

Data sources–Agencies–Specific studies–Florida Geographic Data Library

Arc Hydro beginnings –GIS & Surface Water Modeling

•Small groups of individuals trying to make life easier•Project-specific data•Projects up to a year in duration•Model-driven•Roots outside of Florida

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The Unique Florida Arc Hydro Experience

Florida is just “different” Arc Hydro drivers

– Hydrologic conditions– Water law– Water management– State law (purchasing)

Florida Terrain

Low-relief High

groundwater Non-dendritic

or “Deranged”

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SWFWMD Terrain & Connectivity Tools

Developed to characterize Florida terrain

For distributed use Ongoing maintenance

SWFWMD Vision for Distributed Data Maintenance

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Arc Hydro “Glue”

Unique ID –HydroID Relationships– imbed the unique ID in feature classes

Check Out

Geodataset exchange

Check In

HydroID Management:Distributed Geodatabases

SWFWMDGWIS

Unique HydroID’smaintained in Central GDB – Avoid duplicate ID’s– Maintain relationships

Unique HydroID’s also assigned in project-level GDB’s

Translate HydroID’s from project-level to central GDB

Project-level GDB

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Example: Multiple Uses for Drainage Infrastructure Data

Parallel Data Uses

Operations & Maintenance:

•Location

•Condition

•Preventative maintenance

•Capital Improvement Planning

•Enterprise Asset Management

•Work Order Management

Engineering:

•Modeling

•Stormwater Master Planning

•Capital Improvement Planning

Integrating with Asset Management

Sarasota County MaximoIntegration– Data

replication– Feeds model

maintenance

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Common Data – Different Scales

Managing stormwater data– Infrastructure– Hydrologic &

Hydraulic Modeling

“Infinite” data life

Scale: Space-Time

Features of interest may vary over space and time scales

Example: flow– Cubic feet

per second– Million

gallons per year

Neighborhood

Watershed

Structure

Region

Space

Tim

e

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1:1200 scale1:1200 scale

United States1:500,000 scale1:500,000 scale

River Basin1:100,000 scale1:100,000 scale

Watershed1:24,000 scale1:24,000 scale

River reach

Point scalePoint scale Structure

1:1,000,000 scale1:1,000,000 scaleNorth American

and Global

Mapping Scale

Rainfall & SnowWater quantity and quality

Remote sensing

Different Types of Water Data

Meteorology

Soil water

Modeling

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How can hydrologists integrate observed and modeled data from various sources into a single

description of the environment?

Water Data & Data Uses

Arc Hydro Evolution

Hydrologic Information System– Hydrologic data– Data manipulation tools– Simulation models

Watershed Modeling

ArcHydro Geodatabase

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Digital WatershedHydrologic Observation

Data

GeospatialData

Weather and ClimateData

Remote SensingData

(NetCDF)

(GIS)(Relational database)

(EOS-HDF)

Digital Watershed

A digital watershed is a synthesis of hydrologic observation data, geospatial data, remote sensing

data and weather and climate data into a connected database for a hydrologic region.

SFWMD AHEDSWFWMD GWIS

Scale: Data-Users

The more usable and available data becomes, the greater the number of users and transactions.

IT considerations become significant.

Interdisciplinary teams are required.

Personal

Enterprise

Web

Number of users

Num

ber

ofDa

ta tr

ansa

ctio

ns

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Scalable Multi-User Environment

StandardData Models

GIS InternetServices

GIS Functions

LongTransactions

Spatial QueryLanguage

Work FlowDissemination

Transactions

Spatial Data Types

Applications

Arc Hydro at the SFWMD

SFWMD Arc Hydro Enhanced Database

HydroperiodEstimation

Operations Decision Support

System

RegionalSimulation

Model

FloodHydrology

&HydraulicsDatabase of record for

hydrologic feature locations within the SFWMD area of interest.

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Arc Hydro at the SFWMD

Central enterprise database– Oracle– ArcSDE– Maintained by GIS and Web Development

Division.– Multi-year project: pilot, prototype, and

production.– Production using external resources

accessing the SFWMD network.

Enablers: Data Standards

Feature Representation in GIS

Point Classes: discreet x,y locations

– Drop Structures– End Treatments– Network Structures

Line Classes:linear features having length

– Gravity Mains (pipes)– Open Channels

Polygon Classes:features having area & perimeter

– Stormwater Facilities– Easements

point

linepolygon

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Enablers: Environments

Planned for 4 SDE instances in 2 environments with a schema change control process– Allows change over time– Allows ongoing development

Enablers: Work Flows

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Enablers: Defined Roles & Responsibilities

Subject Matter Experts Database Owner Database Editor Data Steward

Production

Testing & development

instances

Replicated Data Management

HydroID Management:Central Geodatabase

Unique HydroID’smaintained in Central GDB – Avoid duplicate ID’s– Maintain relationships

No HydroID translation All users/editors on the

same network

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Other Project Examples

Project data review– Different GDB approaches– Terrain and tool limits Below-ground infrastructure Obscured areas

Time Series Data Storage Concepts

Space, L

Time, T

Variables, V

D

“What”

“Where”

“When”

The “Data Cube” – a simple data model

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Space, FeatureID

Time, TSDateTime

Variables, TSTypeID

TSValue

Discrete Space-Time Data ModelArcHydro

Time series data requires significant storage space

Time-Series Databases

CUAHSI observation data model (ODM)

Designed to optimize data retrieval for integrated analysis of information collected by multiple investigators

SQL statements created and made available to facilitate analysis

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What Has Worked So Far?

Arc Hydro storage of Florida Data– Schema modification– Tool development Data development Data analysis

Knowledge management With Arc Hydro Data– Decision support

Beginning community development

What Hasn’t Worked – yet?

Areas that could use more thought…– Distributed data development– Scale reconciliation– Arc Hydro community development– Standards Data Programming

– “Comprehensive” education University On-going professional

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What’s Next?

Groundwater Other pieces of the hydrologic cycle Web services Community Driven

– Growing user base– Increasing knowledge– Building consensus

What’s Next?

Florida Arc Hydro Users Group – FLAHUG– Related to FL Arc Hydro

Working Group – FAHWG– Focused on training and

education– Public, private, academic– http://www.flahug.org/

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Other Considerations

Understand your data sources, processes, and products! Define your space and time scale of

interest (including acceptable error) – this will guide decisions on data, processing, and infrastructure needs.

Questions

Alan Foley, P.E.afoley@jonesedmunds.com

352.377.5821