The Development of the Basin Condition Score BCS Methodology PowerPoint PPT Presentation

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Title: The Development of the Basin Condition Score BCS Methodology


1
The Development of the Basin Condition Score
(BCS) Methodology
  • Anne Arundel County Office of Environmental
    Cultural Resources

2
Who worked on the BCS Method?
  • Anne Arundel County Office of Environmental
    Cultural Resources
  • Prince Georges County Department of
    Environmental Resources
  • Maryland Department of Natural Resources
  • Anne Arundel County Department of Public Works
  • Dewberry Davis, LLC.

3
Need for BCS
  • DNR and data to decisions
  • Many projects, little money
  • Watershed wide benefits of restoration
    implementation
  • Defensible method for choosing which
    subwatersheds to work in after WRAS assessment

4
Overview of the BCS
  • Developed during the Upper Patuxent River WRAS,
    2002-2003
  • Used to evaluate conditions of subwatersheds
    assessed in the WRAS
  • Multimetric approach
  • Used SCA and other field data and GIS data.

5
Overview of the BCS, cont.
  • Indicators developed to act as surrogates for
    ecological functions to the extent feasible
  • Indicator scoring ranges based upon
  • Scientific research in peer review journals
  • Other research or publications
  • Local experience of professionals (mainly DNR)
  • Best professional judgment of authors
  • Self-referenced based upon field data in Upper
    Patuxent

6
Overview of the BCS, cont.
  • 21 indicators, 5 indicator groups
  • Some indicators weighted because of their
    importance to stream health (factor of 2 or 3)
  • Points from each indicator group used to derive
    the total BCS
  • Groups allow for honing in on problem areas even
    where total BCS indicates low impact overall

7
Overview of the BCS, cont.
8
Water Quality
  • Provide indication of land use impacts
  • Collected during WRAS field work
  • Two indicators scored
  • Baseflow NO32 concentration departure
  • Baseflow PO4 concentration departure

9
Living Resources
  • Measurements of biological conditions
  • Fish and benthic macroinvertebrates measured
  • Four indicators measured
  • Aquatic Insect Community Condition (3)
  • Anadromous Fish Utilization
  • Presence/Absence of Sensitive Species Protection
    Areas
  • Stream Fish Community Condition (3)

10
Habitat Condition
  • Primarily derived from SCA work
  • For some indicators, only sites rated moderately
    severe or greater were used in scoring.
  • Also from habitat assessment associated with
    biological data collection

11
Habitat Condition, cont.
  • Six indicators
  • Channel Erosion (3)
  • Pipe Outfalls
  • Buffer Conditions (3)
  • Fish Barriers (3)
  • Overall Habitat Rating (3)
  • Channel Alterations (2)

12
Landscape Conditions
  • Attempt to measure current and future land use /
    land cover impacts to subwatersheds
  • Mostly evaluated using GIS data

13
Landscape Conditions, cont.
  • Seven indicators developed
  • Current Imperviousness (3)
  • Road Crossings
  • Forest Polygon Edge/Area
  • Full Build Out Increase in Impervious Cover (2)
  • Percent of Subwatershed in Proposed Greenway (2)
  • Percent of Subwatershed Land Area with Permanent
    Protection (2)
  • Percent of Subwatershed Land Area in Agricultural
    Land Use (2)

14
Hydrologic Conditions
  • Attempts to describe current hydrologic
    conditions and their impacts
  • Two indicators
  • Flooding Potential (2)
  • Stream Baseflow Condition

15
BCS Application
  • Nine subwatersheds
  • Mix of land use and land cover
  • Forest (one)
  • Residential (one)
  • Forest/Ag (two)
  • Ag/Residential (two)
  • Forest/Residential (three)

16
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18
Limitations of the BCS
  • Garbage In, Garbage Out (especially with
    Landscape Indicators)
  • Weak on hydrology, water quality
  • First use, so not really validated
  • Metrics not statistically tested for relevance
  • Unknown if applicable outside the Coastal Plain
    physiographic region

19
Strengths of the BCS
  • Quick and fairly easy to use
  • Customizable for your region
  • Indicators based mostly on peer-reviewed or or
    other published literature
  • Uses SCA, synoptic water quality, biological data
    collected by DNR
  • Seems to provide discrimination among the
    subwatershed types encountered in the Upper
    Patuxent River watershed
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