Tracking and Reporting Progress of Wisconsin AOCs · 2017-06-29 · Tracking and Reporting Progress...

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Tracking and Reporting Progress of Wisconsin AOCs Gail Epping Overholt Wisconsin’s Great Lakes Areas of Concern Meeting November 4, 2011 Tundra Lodge & Convention Center

Transcript of Tracking and Reporting Progress of Wisconsin AOCs · 2017-06-29 · Tracking and Reporting Progress...

Page 1: Tracking and Reporting Progress of Wisconsin AOCs · 2017-06-29 · Tracking and Reporting Progress of Wisconsin AOCs Gail Epping Overholt Wisconsin’s Great Lakes Areas of Concern

Tracking and Reporting Progress of Wisconsin AOCs

Gail Epping Overholt

Wisconsin’s Great Lakes Areas of Concern Meeting

November 4, 2011

Tundra Lodge & Convention Center

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Challenge:

• Different Audiences

• Different Reporting Needs

o Visual Appeal

o Understandable

o Detail

o Complexity

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Building a Tool

Researched sample tools that translate metrics into visual elements

How do we determine data needs?

Who needs what information?

What needs translation and how to do it?

Can we integrate the Wisconsin Aoc Tracking & Reporting (WATR)Tool with Surface Water Information Management System (SWIMS)

WATR SWIMS

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Project Status

• Researching other State AOC & Watershed Reporting Mechanisms

• Database & Tool Development Stage

• Trial Status with Local Watershed Action Team Projects

(Menomonee & Kinnickinnic Rivers)

• Determining Access & Retrieval Mechanism: Data Entry vs.

Viewing?

o Statewide – Regional – Individual AOC

• Online vs. Local Network?

• Mechanism for Generating Updated Reports automatically

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Creating the Reporting Tool Production Train

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Visual Presentation Easy to Understand

Detail

Complexity

Stage 1 – Science Based Measure and Targets Identified

Translation

Program Parameters

• Lead Project Agency

• Based on overall community goal for AOC – fishable, swimmable, drinkable, aesthetic

• Establish science-based measures and targets

Megan O’Shea

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Stage 2 – Data Points Gathered by Individual Project Staff

Visual Presentation Easy to Understand

Detail Complexity

Translation

Milwaukee Riverkeeper

Data Points • Entered by AOC Data

Managers

• Gathered from Partner/ Project Agency

• Use Quality Assured monitoring protocols

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Stage 3 – Combined Data per Identified Geographical Element

Visual Representation Easy to Understand Detail Complexity

Data Aggregation

• Levels – site, reach or assessment area, improvement project, watershed, overall AOC

• Roll up or drill down between levels

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Stage 4– Visual Presentation Easy to Understand Detail Complexity

AOC-Level Reporting • Overview of Data

• Determine BUI elimination and AOC delisting progress

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Stage 5 – Communicating Progress to the Public

Report Card • For Public

• Simple, familiar model

• Language and parameters understandable to non-scientists

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Stage 5 – Communicating Progress to the Public

City of Kirkland, WA

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Timeline

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Yeah! One tool for all projects

REPORTS

EPA

DNR

Potential Funders Public

Local Partner

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John Hacker, Volunteer

John Loy, Student Assistant

Credits:

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Credits:

This material is paid for by support from the U.S. Environmental Protection Agency, Great Lakes Restoration Initiative, under Assistance Agreement No. GL00E00651-0.

City of Kirkland Washington Megan O’Shea

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Questions / Ideas?

Gail Epping Overholt Regional Natural Resources Educator UW-Extension [email protected] 414.256.4632