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4/3/2017

1

Welcometothe

2017 National Watershed & Stormwater Conference

WelcometotheConference

•ContinuingEducationCredits –WeareofferingPDHsforour

nationalwatershedandstormwaterconference.Aregisteredattendee

mustwatchtheentirewebcasttobeeligibletoearnapdfCertificate

ofCompletionthatwillbesentoutafterwebcasttothepersonwho

registeredforthewebcast.ThecertificatewillindicatetheNumberof

PDHhoursearned.Thevaryingnatureofcertificationrequirements

foreachstatemeanswecannotguaranteethatCEU’swillbeawarded

anditisuptotheindividualtodetermineifCEU’sorPDH’swillbe

awardedbasedonthepoliciesoftheirlocalcertifyingboard.Email

webcast@cwp.org withquestions.

2017 National Watershed & Stormwater Conference

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2017 National Watershed & Stormwater Conference

ThankstoOurSponsors

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2017 National Watershed & Stormwater Conference

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2017 National Watershed & Stormwater Conference

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4/3/2017

2

2017 National Watershed & Stormwater Conference

JeffDuke

GISServicesManager

NortheastOhioRegionalSewerDistrict

Dr.Srini Dharmapuri

LIDARScientist

MichaelBakerInternational

WebcastTeam

MarcusQuigley

D.WRE,P. E . 

CEO,Opti

BillHodgins

SeniorWaterResourcesEngineer

CenterforWatershedProtection

NationalWebcast3:EmergingToolsin

WatershedProtection,Restoration&Implementation

CollaborativeGIS‐centricFieldData

CollectionUsedbyNEORSDforRegional

StormwaterManagementProgram

JeffreyDuke,P.E.,GISP

GISServicesManager

dukej@neorsd.org orgis@neorsd.org

216‐881‐6600x.6456

April4,2017

1. Overview

2. …ations

3. GISTools

4. LessonsLearned

9

DiscussionTopics Overview–RegionalStormwaterManagementProgram

Goal – Addressing

flooding,erosion,

andwaterquality

problems

Target –Regional

StormwaterSystem

(420Miles)

ServiceArea –

350+Sq.Mi.

Stormwater

Master

Plans

Inspect&

Maintain

Construct

Projects

Encourage

Good

Practices

Overview– ProgramComponents

Program Administration – Funding/Billing

Data Collection & Management – SMP GIS

NEORSDEnterpriseGISPlatformOverview

EnterpriseGIS

ARCGISServer

OracleDBMS

IntranetApplication

Geocortex Essentials

DesktopArcGIS&

OperationsDashboard

Internet/WebGIS

ArcGISOnline

Storymaps

MobileGIS

ExplorerforArcGIS

CollectorforArcGIS

Survey123

4/3/2017

3

NEORSDEnterpriseGISPlatformOverview

EnterpriseGIS

ARCGISServer

OracleDBMS

IntranetApplication

Geocortex Essentials

DesktopArcGIS&

OperationsDashboard

Internet/WebGIS

ArcGISOnline

Storymaps

MobileGIS

ExplorerforArcGIS

CollectorforArcGIS

Survey123

GISData&Toolsareavailable:

Anytime(~24/7/365)

Anywhere(withInternetAccess)

Anydevice(desktop,tablet,phone)

Businessdecisionsdon’twaittillyouare

atyourdesk…

14

DiscussionTopics

1. Overview

2. …ations

3. GISTools

4. LessonsLearned

…ations

–Innovations – Changesinsomethingestablished,especiallyby

introducingnewmethods,ideas,productsorprocesses

–Foundation –Adaptablefoundationtosupportcurrentand

futurewatershedmanagement&SMPinitiatives

–Collaborations –Worktogethertoenhanceprojectresults

–Implementations –GISToolsabletobedevelopedand

implementedveryefficiently,consistentlyandcost‐effectively

–Information –GISToolsenhanceAccess,Analysis,Reporting

andManagement(AARM)functionstosupportdecision

making

–Administration –ProjectandProgramadministrationtasks

mademoreeffective,efficientandtransparent

16

DiscussionTopics

1. Overview

2. …ations

3. GISTools

4. LessonsLearned

GIS Tools– Innovation

NEORSD–WebGISPlatform

GISTools–Foundation

StormwaterMasterPlanProjects

Cuyahoga River South – Q3

2016

Cuyahoga River North – Q1

2017

Rocky River – Q3 2017

H&H Modeling

Problem ID

Solution Development

Data Collection

Field Inspection & Condition

Assessment

4/3/2017

4

GIS Tools– Collaboration

ProjectGISSites

SWMP Project GIS Sites

have been established to

provide access to GIS

Tools and GIS datasets –

available to all internal

and external project

stakeholders

GIS Tools– Collaboration

ProjectGISSites

Access to:

-Maps & Apps

-Layers

-Tools

-Files

Secure & controlled

GISTools– Implementations

DataCollection– CollectorforArcGIS

GISTools– Implementations

DataCollection–Survey123forArcGIS

GISTools– Administration

OperationsDashboards–“RightHere–RightNow”

GISTools– Administration

OperationsDashboards–“RightHere–RightNow”

Where are we working?

How much is done?

How much work is remaining?

Categorization of Problems

How many problems identified?

4/3/2017

5

GISTools– Administration

OperationsDashboards–“RightHere–RightNow”

GISTools– Information

Access– MultipleDatasets– MultipleSources

Internal(Enterprise)Sources

•RSSAssets(Multipleclasses)

•Storm/SanitarySewers

•ModelInfo(Inputs&Outputs)

•MonitoringLocations

•HSTSLocations

•IDDEInformation(WQIssues)

•SWIMInspections

•BTUAssets&Assessments

•ProblemLocations

•AndSoOn…

ExternalSources

•Basemap/BoundaryLayers

•ParcelInformation

•FacilityInformation

–As‐Builts

–Inspections

•Topography/Lidar

•CommunityInformation

•State&FederalInformation

•ProjectDatasets

•AndSoOn…

GISTools– Information

Access–StoryMaps–WatershedInformation

GISTools– Information

Access–StoryMaps–GrantProjects

GISTools– Information/Administration

Funding–FeeAdministration

Public Application

http://www.neorsd.org/stormwaterfeemap.php

30

DiscussionTopics

1. Overview

2. …ations

3. GISTools

4. LessonsLearned

4/3/2017

6

LessonsLearned‐ Summary

BeAware

•Administration/Planning

•Awareness/Buy‐In

•Education/Training

•Evolution/Enhancements

•Formal/Informal

Communication

•Permissions/Rights

•NewWorld

–Devices

–Functions/Tools

–Resources

Benefits

•Awareness/Availability

•Collaboration

•Communication

•Confidence

(Accuracy/Currency)

•Efficiency(Delivery/Decisions)

•Effectiveness/Productivity

•ReturnonInvestment

•Scalability/Sustainability

•Understanding

Continue

providing:

Smarter

Apps

Tosupport:

Smarter

Decisions

Customers:

Better

Services&

Awareness

Application

Development

Continue

optimization,

integration,

tooluse

Survey1‐2‐3

Workforce

Communication

&Outreach

User

Awareness&

Education

OpenData

PublicApps

Operational

Awareness

Project

Management

Dashboards

Executive

Management

Dashboards

Administration

BestPractices

Documentation

ArcGISOnline

FeaturedMaps

Gallery

Today(2017)&Tomorro w(2018)

NEORSD–WebGISPlatform–Top5Uses

1. AssetManagement

–Inventory,Inspection&Condition

Assessment

2. StormwaterProgram

–FeeDevelopment,CustomerService

3. Projects–DataCollection&

Management

–3SMPs,2SSESs‐ $30M–Data

Collection

4. Internal– DepartmentalWorkflows

–CustomMaps/Apps–e.g.Property

Interests

5. InternalDataCollection/MapChanges

JeffreyDuke,P.E.,GISP

GISServicesManager

dukej@neorsd.org orgis@neorsd.org

216‐881‐6600x.6456

April4,2017

UnmannedAircraftSystems:Mappingand

InspectionApplications

Srini Dharmapuri PhD, CP

Agenda

Introduction

Technical Issues

Project Results

FAQ

4/3/2017

7

Introduction

What’sinaName?

Unmanned Aerial

System (UAS)

PreferredterminologyoftheFAA

Aircraft

Payload

(Camera…)

Autopilot RCController

GroundStation

What’sinaName?

Technical Issues

GeneralTypes

Multi Rotors Fixed Wing

4/3/2017 42

TypesofUAS

Multi Rotors Fixed Wing

4/3/2017

8

4/3/2017 43

Suitability Fixed‐WingsUAS

4/3/2017 44

PrecisionHawkLancasterIII

Multiple SensorCapability(RGB,IR,LIDAR,etc.)

FlightDuration:45‐Minute

Acquisition Footprint:@100‐Acre(eachbattery)

LineofSightOperationalRange

Operational Ceiling:12,000’

Fully‐Autonomous Flight Capability (w/override

failsafe)

Semi‐AutomatedFlight Planning

TOPCON Falcon 8

•High-resolution Camera

•Automated Collision Avoidance

•Inspections/Monitoring/Volumetrics

sUAS

4/3/2017 45

UASDataProcessing

4/3/2017 46

Rebirth of Photogrammetry –

Point clouds from imagery

. . It’s all About the point

cloud.

4/3/2017 47

PointCloud:

A set of data points usually

defined by X, Y, and Z

values in a 3D coordinate

system

Intended to represent the

external geographic

surfaces

Point clouds are most

commonly created by

LiDAR systems, but can be

generating from

photographic images, too

PointCloud

4/3/2017 48

LiDAR Point Cloud

Active sensor generates signal/return

Aerial Photo/Imagery

Passive sensor measures and records naturally

reflected daylight

Semi Global Matching (SGM) –uses two overlapping images to

create a point clouds as

Accuracy of the point cloud depends on the accuracy of the

images

(scale, flying height, etc.)

More points penetrating the canopy = more detailed

DEM.

PointCloud

4/3/2017

9

4/3/2017 49

DSM/DEM

DSM DEM

4/3/2017 50

Project Results

4/3/2017 51

Location:HarfordLandfill,MD

Area:30acres

FlyingHeight:70m

TotalExposures:692

Nativeresolution:3cm

Numberofmissions:1

Timeforcollection:30minutes.Preptime1–1.5hours.

NumberofControlsestablished:24

NumberofControlsusedintheprocessing:12

NumberofcontrolsusedinAccuracyAnalysis:12

MappingProjectResultsusingPH

4/3/2017 52

MappingProjectResultsUsingPH

4/3/2017 53

MappingProjectResultsUsingPH

4/3/2017 54

MappingProjectResultsUsingPH

4/3/2017

10

4/3/2017 55

MappingProjectResultsUsingPH

4/3/2017 56

https://www.youtube.com/MichaelBakerUAS

InspectionApplications

4/3/2017 57

Easeofuseinaparticularapplication?

Easytodeployandcollectthedataandprocess.Youneedtohaveanaircraft,a

FAAcertifiedpilotandthesiteissuitableforflying.

Doesitrequirespecializedaconsultanttoimplementortouse?

YouneedtohaveFAAcertifiedpilotandpeoplewhohavethemapping

background.Somestatelawswillrequiretheproducttobesignandsealoff.

Howlongdidittaketoputintouse?

Timetoimplementisveryless,Fewdaysandnotweeks.

Isitcostly?

No.VTOLequipmentaround6kandsoftware6– 10k.

Basedonthedata,theUAScostshouldbearound60%‐ 70%oftheconventional

mappingcost(Photogrammetry)

FAQ

4/3/2017 58

Whatarethebenefitstoitsuse;

Easytodeploy,maintainandveryquicklyresultscanbeproduced.Thereisa

costefficiencyinusingUAS.

Isitlikelytobeobsoleteduetosoftware/hardwareupgrades?

Partlyyes.

Istherealargemaintenancepricetag.?

No.Thereisnobigpricetag.

Questions

4/3/2017 59

Questions EmergingToolsinWatershedProtection,

Restoration,andImplementation

NewApproachestoFloodControl,WaterQuality,and

CombinedSewerOverflowwithContinuousMonitoringand

AdaptiveControl

CenterforWatershedProtection

2017NationalStormwaterConference

April4,2017

Emerging Tools in Watershed Protection,

Restoration, and Implementation

New Approaches to Flood Control, Water Quality, and

Combined Sewer Overflow with Continuous Monitoring and

Adaptive Control

Center for Watershed Protection

2017 National Stormwater Conference

April 4, 2017

About Opti

●Initial research by NOAA, EPA, WERF in 2007

●Full commercialization of technology in 2014 –

Opti Formed as an Independent Company

●Deployed over 130 commercial and public

projects across 21 states

●>40M gallons storage under active management

Regulatory Approvals

CMAC for the Enhancement and

Conversion of Existing Best Management Practices

Maryland Department of the Environment

01/27/2016

Chesapeake Bay Program

11/15/2016

The Problems We Address in New Ways

Polluted runoff flowing into Lake Michigan

Discharge of raw sewage and runoff

Toxic Algal Bloom caused by runoff

Flooding

4

How does CMAC Function?

1

2

3

Secure continuous monitoring and adaptive

control

●Built on modern cloud architecture

●Web-based dashboards

●Provides data transparency and

infrastructure intelligence

●Applies where timing, duration, volume,

and peak flow reduction are important.

NWS forecast

Field View of Hardware Components

ACTUATED VALVE

OPTI CONTROL PANEL

LEVEL SENSOR

6

How CMAC works

1. Read forecast

2. Prepare for incoming runoff

3. Manage discharge during wet weather

4. Meet retention goals

5. Manage discharge to return to dry weather level

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

15-Aug 16-Aug 17-Aug 18-Aug 19-Aug 20-Aug

flow rate (cfs)

volume (cubic feet)

Pond Volume Inflow Discharge

1

2

3

4

5

0.97” rainfall

Types of Stormwater Infrastructure/Assets Opti Controls

University Blvd Pond, Silver Spring, MD (NFWF)

Conowingo Elementary School, Conowingo, MD

Rainwater Harvesting Cistern Frost Pond (Dry), Prince George’s County, MD (NFWF)

North Bethany, OR (Clean Water Services)

Case Study 1: Philadelphia

CSO mitigation on private property

8-acre drainage area

Adaptively Controlled Retention

CMAC in Philadelphia

Performance Analysis (Data from Philadelphia)

Observed pond volume and flows with Opti system controlModeled pond volume and flows with passive outlet control

•CMAC system exceeded PWD’s criteria for wet weather site discharge by

completely avoiding wet weather outflow for nearly all rain events.

•In total, during a period with approximately 1.01 million gallons of runoff

generated from 14 storm events, the system prevented 0.97 million gallons

of water from entering the combined sewer during wet weather.

Performance Analysis (a closer look at flow)

Observed flows with Opti system control

Modeled flows with passive outlet control

CMAC resulted in a 96% reduction in wet weather flow volume

(1.01M gallons of runoff to 40K gallons)

Case Study 2: Johnson County

Stormwater and Lenexa, KS

water quality + flood control retrofit

Adaptively Controlled Retention

CMAC in Lenexa, KS

Coon Creek

North

Coon Creek

South

Coon Creek East

City Center

Goal: Water quality improvement while increasing flood

control capacity

Construction: Retrofit existing outlet structures

(City of Lenexa performed retrofit)

CMAC in Lenexa, KS

CMAC in Lenexa, KS

CMAC in Lenexa, KS

CMAC in Lenexa, KS

CMAC Simplified Logic

•Coon Creek Ponds –Release Before Forecasted Storm

•Coon Creek North and South –Adjust release timing

and watershed area to maximize benefit of facilities in

the same watershed

•City Center –Allow storm to fill pond above permanent

pool, release after retention period

CMAC Preliminary Storms

Coon Creek East –December 17

City Center –January 15

CMAC Preliminary Storms

Coon Creek North –January 15

Coon Creek South –January 15

Case Study 3: Curtiss Pond

Capitol Region Watershed District, MN

flood control retrofit

Adaptively Controlled Retention

Adaptive Control of Existing Storage for Flood Reduction

How CMAC Operates for Curtiss Pond

(Flood Control Retrofit of Existing Wet Storage)

Case Study 4: Clean Water Services, OR

flow-duration control + peak control +

water quality

2M Gallons

Adaptively Controlled Detention/Retention

Portland, OR - Flow Control & Hydrograph Matching

Based on continually updated precipitation forecasts,

automated valve controls discharge to achieve

flow-duration goals

Control

Panel

Actuated

Valve in Flow

Control

Vault

Washington County, Oregon

6 ac-ft pond for flood and channel erosion protection

Flow Control & Hydrograph Matching

Flow-Duration Control

Highlights

•60% reduction in wet weather volume

•70% reduction in volume within erosive flow range

•Increase in residence time from 1 to 19 hours

•30% lower peak flow in large events

•Ability to adjust control parameters to target

alternative goals

Case Study 5: Anacostia Watershed

Prince George’s County, MD

peak flow reduction + water quality

2 ac-ft

Adaptively Controlled Detention/Retention

Performance Study –Anacostia River Watershed

•3 CMAC retrofits (2 ponds)

•Prince George’s County

◦Frost Pond

◦2 ac-ft dry pond

◦60 acre drainage; 32% imp.

◦Built 1988

•Montgomery County

◦University Blvd Pond

◦15 ac-ft wet pond

◦440 acre drainage; 36% imp.

◦In line on Sligo Creek

•Ponds retrofit November 2015

30

Performance Study –Frost Dry Pond

Frost Dry Pond–Hydraulic Monitoring

Jan 12 –Feb 28

Monitoring, No Control

5.95 inches

Mar 23 –May 12

Monitoring + Control

5.49 inches

Frost Dry Pond –Enhanced Performance

No Control

Forecast

-

Based CMAC

Control

Total Rainfall (in) 5.95 5.49

Total Runoff (CF) 336,481

C = 0.23

279,310

C = 0.26

Total Discharge (CF) 305,840 197,243

Total Infiltration and ET

(CF)

30,803

9%

81,524

29%

Average Retention Time

(hrs) 4.0 18.2

The CMAC retrofit increases infiltration and ET by extending the retention

time, also providing a mechanism for increased settling and nutrient uptake.

Frost Dry Pond –1 inch Rainfall Event

CMAC Retrofit

No Outflow Control

Retain runoff for 48 hours

Detain peak of storm

Frost Dry Pond –September 19, 2016 Rainfall Event

9/19/2016 9:35AM 9/21/2016 10:04AM

Case Study 6: Montgomery County, MD

peak flow reduction + water quality

15 ac-ft

Adaptively Controlled Detention/Retention

36

Performance Study –University Blvd Wet Pond

37

University Blvd Wet Pond –Monitoring 2015 to 2017

Continuous

◦Water level

◦Rainfall

◦Temperature

◦Conductivity

◦pH

◦Turbidity

◦Nitrate

◦TSS

Grab Sampling

◦Flow

◦TSS

◦Nitrogen

◦Phosphorus

38

University Blvd Wet Pond –Hydraulic Monitoring

PASSIVE BASELINE ACTIVE CONTROL

University Blvd Wet Pond –TSS Removal Comparison

Passive Baseline Active Control

University Blvd Wet Pond –TSS Removal

41

University Blvd Wet Pond –Pollutant Removal

50,000

150,000

250,000

350,000

450,000

0

50

100

150

200

250

300

3/27/2016 3/28/2016 3/29/2016 3/29/2016 3/30/2016

Volume (CF)

TSS (mg/L)

TSS During 0.32" Storm

50,000

150,000

250,000

350,000

450,000

0

50

100

150

200

250

300

3/19/2016 3/20/2016 3/21/2016 3/22/2016 3/23/2016

Volume (CF)

TSS (mg/L)

TSS During 0.30" Storm

50,000

150,000

250,000

350,000

450,000

0

100

200

300

400

500

7/18/2016 7/19/2016 7/20/2016 7/20/2016 7/21/2016

Volume (CF)

TSS (mg/L)

TSS During 0.52" Storm

50,000

150,000

250,000

350,000

450,000

0.0

0.5

1.0

1.5

3/27/2016 3/28/2016 3/29/2016 3/29/2016 3/30/2016

Volume (CF)

Nitrate (mg/L)

Nitrate During 0.32" Storm

50,000

150,000

250,000

350,000

450,000

0.0

0.5

1.0

1.5

3/19/2016 3/20/2016 3/21/2016 3/22/2016 3/23/2016

Volume (CF)

Nitrate (mg/L)

Nitrate During 0.30" Storm

50,000

150,000

250,000

350,000

450,000

0.0

0.5

1.0

1.5

7/18/2016 7/19/2016 7/20/2016 7/20/2016 7/21/2016

Volume (CF)

Nitrate (mg/L)

Nitrate During 0.52" Storm

University Blvd Wet Pond–DRAFT Pollutant Removal

Storm Size

Nitrogen Percent Removal

CMAC MDE Wet

Pond*

0.30 28% 20%

0.32 42% 21%

0.52 48% 26%

0.79 68% 30%

1.32 47% 36%

*Credits given for water quality volumes in Accounting for Stormwater Wasteload Allocations and Impervious Acres Treated, MDE,2014

Storm Size

TSS Percent Removal

CMAC MDE Wet

Pond*

0.30 53% 40%

0.32 71% 41%

0.52 88% 53%

1.0 77% 61%

2.5 86% 72%

Case Study 7: EPA Headquarters

rainwater harvesting + cso mitigation

6K Gallons

Adaptively Controlled Cisterns

Intelligent Stormwater Detention to Mitigate CSOs

EPA Headquarters, D.C.

●6,000 gallons of storage for roof

drainage

●Prevents discharge to combined sewer

during rain events

Intelligent Stormwater Detention to Mitigate CSOs

●2 years in operation

●No significant irrigation demand

●175K+ gallons wet weather flow

prevented to combined sewer by

CMAC

EPA HQ Cisterns Example Event

Storage at 11:07

am ET 6/28/16 –

5080.7 gallons

Continuous Simulation

Results for Entire US

Results from Continuous Simulation Modeling

Performance of Opti in Chicago

Note: averages shown for 1 inch storage size

1: No withdrawals were simulated. In the passive system, no water was available for use because the outflow

valve was always open. In the Opti system, water captured and not released during wet weather was considered

available for use. The value shown is the annual average capture volume.

Simulation Metric Passive Storage Opti Active

Storage

CSO

Average wet weather

discharge 0.045 cfs 0.018 cfs

Average wet weather

discharge during inflow >

0.25 cfs

0.262 cfs 0.164 cfs

Wet weather capture 2% 63%

Percent time runoff retained 2% 92%

Volume Discharged During Wet vs. Dry Weather

Passive Discharge

Volume Discharged During Wet vs. Dry Weather

Opti Discharge

Questions & Contact

Marcus Quigley, P.E.

Chief Executive Officer –OptiRTC, Inc.

mquigley@optirtc.com

Philadelphia Water Department

Johnson County Stormwater

City of Lenexa, KS

Clean Water Services

National Fish and Wildlife Foundation

Metro Washington Council of Governments

Maryland-National Capital Park and Planning Commission

Prince George’s County, MD

Montgomery County, MD

US EPA

Capitol Region Watershed District

ACKNOWLEDGEMENTS