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Wisconsins Surface Water Monitoring System SWMS

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2. To provide an internet-based GIS-enabled surface water data repository for ... USEPA Contractor Support - SIMS batch migration. LTE data cleanup, data entry ... – PowerPoint PPT presentation

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Title: Wisconsins Surface Water Monitoring System SWMS


1
Wisconsins Surface Water Monitoring System (SWMS)
  • Jennifer Filbert and Lisa Helmuth
  • Wisconsin Department of Natural Resources

2
Wisconsins Surface Water Monitoring System (SWMS)
  • What ?
  • Why?
  • How?
  • Data?
  • Station Module
  • eLT and integrated tabular and spatial data
  • revolutionizing surface water monitoring, data
    management and public information tools

3
What is SWMS?
  • An internet-based GIS-enabled surface water data
  • repository accessed through a data portal for use
    by
  • staff, volunteers and partner agencies.
  • Features
  • Station Module which includes GIS component tool
    which geo-locates stations on 124K hydrolayer
  • Oracle tables, Java UI, ESRI ArcObjects
  • Embeddable locator tool eLT - GIS component
  • Allows interactive edits of station location
  • geolocating data enhances storage and retrieval
    of surface water monitoring data
  • Internet Data Portal (Wisconsin Web Access
    Management System - WAMS), Security Roles
  • Allows volunteers, internal staff and partner
    agencies access to the system
  • Connection to STORET via batch data loads
  • STORET Reporting Querying functionality

4
Data to be included in SWMS
  • Sediments
  • Exotics
  • Automonitoring (DO, Temp)
  • Thermal Standards Data
  • Long Term Trend Data
  • rivers, lakes
  • Historical Datasets
  • habitat, field parameters
  • Macroinvertebrates
  • Satellite water clarity
  • Plants
  • Lake Volunteer Data
  • River Volunteer Data
  • Special Project data (TMDLs, phosphorus,
    pathogen, Cladophora, etc.)

5
Why SWMS?
  • 1996 WDNR Reorganization, Budget Cuts, Attrition
  • STORET file manager position reduced
  • STORET location management decentralized
  • Multiple datasets for Surface Water Monitoring
  • Each with unique ID, some STORET, some not
  • STORET station is required for loading data into
    STORET
  • 1 with stations geolocated, most not
  • 1 internet accessible, rest client-side systems
  • Initiation of TMDLs and related work
  • need system to support chemistry data
  • take advantage of new technologies
  • budget cuts need greater efficiencies
  • USEPA/DNR discussing biocriteria and biological
    monitoring, need way to help integrate this info
    with traditional WQ standards data

6
SWMS Goals
  • 1. To assure that appropriate data gets into the
    US EPA's STORET database in a timely fashion with
    minimal human intervention
  • 2. To provide an internet-based GIS-enabled
    surface water data repository for use by staff,
    volunteers and partner agencies that can enter,
    store and query
  • chemistry, habitat, macroinvertebrate, plant,
    toxicity, and field data for
  • sediment, rivers, inland lakes, and Great Lakes

7
How is WI developing SWMS?
  • Watershed program funds
  • Analyze existing systems and integration areas
  • Develop SWMS Station Module - March 2005
  • station locations, lab slips, bar codes
  • surface water data viewer (web mapping app)
  • Clean Water Act Section 104(b)(3) Grant
  • internet portal system (SWMS)
  • migrate monitoring data (lakes, rivers, sediment)
  • USEPA Contractor Support - SIMS batch migration
  • LTE data cleanup, data entry
  • Exchange Network Grant
  • XML schemaORSIMS batch data loads

8
Existing Surface Water Data Configuration
9
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10
SWMS Station Module
  • New systems provide
  • Visual Display and required verification of
    station locations
  • Reduces errors, enhances efficiency, quality
  • Improves state federal reporting
  • Geo-located data in host applications
  • Integrates data systems, maximizes utility
  • Compatible with ArcView, ArcMap ArcIMS
    technology
  • Spatial applications can use data, adds value
  • Increases accessibility to public
  • Allows cumulative impact analyses, better
    planning, integrated queries

11
SWMS Station Module
  • The Need
  • Decentralized STORET station assignment from
    1996-2004 via spreadsheets
  • incorrect stations
  • no station, no lat/long, description, etc.
  • Delay in getting data into STORET due to
    incomplete records
  • 50 rejection rate for data uploads to STORET

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15
Station Module
  • Elements
  • Station look up
  • tabular by station , location, waterbody ID code
  • Spatial queries in mapping application (Surface
    Water Data Viewer or embeddable locator tool
    eLT)
  • Request new station (point, line, polygon)
  • Print lab slip with bar code (embedded data)
  • Verification of station location before data
    release
  • Enhancements
  • batch upload of station and sample location
    points
  • linkage of station and multiple sample points

16
Station Data Cleanup
  • Station data from 5 applications blended, cleaned
  • tabular cleaning of 12,000 records
  • storet modernized
  • storet legacy
  • lakes WQ database
  • sediment database
  • rivers chemistry
  • visual cleaning of data in spatial context
  • duplicate locations
  • lat/long problems
  • waterbody ID code mismatch

17
Station Data Cleanup
  • Once STORET stations have been cleaned,
  • monitoring locations from the following datasets
    will need
  • to be geolocated and integrated into the station
  • application
  • toxicity test data locations (State Lab of
    Hygiene)
  • beach program sites (at USGS)
  • baseline monitoring stations (at USGS)
  • plant dataset (UW Madison)
  • exotics monitoring sites (PC-based files)
  • historical monitoring sites (PC-based datasets)

18
The eLT allows spatial editing of points, lines
and polygons using the 124,000 hydrography
datalayer.
As a point is digitized, the eLT conducts
interactive spatial intersections with
coincidental location spatial data and sends that
data back to oracle tables, which are then
populated. This allows both tabular and spatial
queries.
19
Linear Feature Edits
SWMS will use line and polygon features to
represent stations such as transect surveys,
composite samples or satellite surveys which have
multiple sample points.
20
Polygonal Feature Edits
The eLT edits features using the states 124K
hydrography datalayer as a backdrop, which
provides spatial data that conforms to existing
spatial features for and river flowages and
lakes. Once the stations are spatially
represented, intersections of datalayers and
complex queries can be conducted.
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23
Data integration Viewable Data in the eLT
Users will be able to conduct identify in
the eLT to read attributes for related data
sets. This spatial display and oracle database
linkage can help inform users in their monitoring
station location decision.
24
Monitoring stations and data will be made
available via an external mapping application
25
SWMS Project Timeline
  • March 2005
  • Station Application via Intranet
  • June 2005
  • WAMS Security Portal Implemented
  • Station Module Launched on External Portal
  • with Surface Water Data Viewer
  • Phase I SWMS tables, UI screens, Data
  • lakes, rivers, exotics
  • Implement SIMS batch upload (USEPA?)
  • December 2005
  • Phase II SWMS tables, UI screens, Data
  • sediment, habitat, plant data, macroinverts,
    toxicity
  • January - September 2006
  • Phase III - SWMS reports, queries, .xml schema?

26
Conclusion
  • SWMS will provide access to data in an
    interactive, editable spatial/tabular display
    using the embeddable locator tool (eLT).
  • Geolocating station data will facilitate access
    to monitoring data through spatial/tabular
    views in ArcIMS applications
  • The eLT and integrated application will
    revolutionize the way surface water monitoring
    data is managed, understood, and provided
    internally and to the public and our partners.
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