Exploratory categorization of watersheds for potential stormwater monitoring
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San Francisco Estuary Institute. Item #1a. Exploratory categorization of watersheds for potential stormwater monitoring. Ben Greenfield, Marcus Klatt, Lester McKee Sources Pathways and Loadings Workgroup May 6 th 2010. San Francisco Estuary Institute. Item #1a. Topics.

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Exploratory categorization of watersheds for potential stormwater monitoring

San Francisco Estuary Institute

Item #1a

Exploratory categorization of watersheds for potential stormwater monitoring

Ben Greenfield, Marcus Klatt, Lester McKee

Sources Pathways and Loadings Workgroup

May 6th 2010


Topics

San Francisco Estuary Institute

Item #1a

Topics

  • Categorization of watersheds

  • Watersheds for long term monitoring


Background trend monitoring goals

San Francisco Estuary Institute

Item #1a

Background – Trend Monitoring Goals

  • Which Bay tributaries contribute most to Bay impairment from pollutants of concern (POC)

  • Quantify annual tributary POC loads or concentrations

  • Quantify the decadal-scale POC loading or concentration trends

  • Quantify the projected impacts of management actions (including control measures)


1 categorization of watersheds

San Francisco Estuary Institute

Item #1a

1. Categorization of Watersheds

  • Develop rationale for initially classifying Bay Area small tributary watersheds into a small number (<10) of categories for monitoring

  • Provide STLS stakeholders with a tool to develop and rank a list of representative watersheds in each class


Study area

San Francisco Estuary Institute

Item #1a

Study Area

  • 185 watersheds included

  • Focused on areas with best available data

  • Potential for expansion after data development to new areas


Approach

San Francisco Estuary Institute

Item #1a

Approach

  • Compile GIS with land use history and other attributes

  • Scaled and transformed data

  • Cluster analysis to determine watershed categories

    • Ward’s minimum variance method with Bray-Curtis dissimilarity

    • Used eight clusters

  • Non-metric Multidimensional Scaling - evaluate key distinguishing features of watersheds


Metrics included

1995 Land Use

% Industrial

% Residential

% Commercial

% Agriculture

% Open

1954 % Industrial

% Impervious

Current and historic railroads (RR)

Watershed area

Population/area

PG&E facilities/area

Pump stations/area

Auto dismantlers/area

Annual precipitation avg.

UTM spatial coordinates

San Francisco Estuary Institute

Item #1a

Metrics Included


Exploratory categorization of watersheds for potential stormwater monitoring

Clustering by

  • Size

  • Land use – industrial vs. open

  • Imperviousness

  • Attributes

    • RR

    • PG&E

    • Pump stations


Exploratory categorization of watersheds for potential stormwater monitoring

  • Watershed variation:

  • Imperviousness

  • Industrial vs. open

  • Railroads


Exploratory categorization of watersheds for potential stormwater monitoring

  • Cluster 1:

  • Small – highly urbanized


Exploratory categorization of watersheds for potential stormwater monitoring

  • Cluster 1:

  • Small – highly urbanized

  • Cluster 2:

  • Moderate size

  • Urbanized, PG&E, RR


Exploratory categorization of watersheds for potential stormwater monitoring

Typical small and moderate sized watersheds

Cluster 1

41 watersheds

Cluster 2

43 watersheds


Exploratory categorization of watersheds for potential stormwater monitoring

  • Cluster 1:

  • Small – highly urbanized

  • Cluster 2:

  • Moderate size

  • Urbanized, PG&E, RR

  • Cluster 6

  • Large with more open space


Exploratory categorization of watersheds for potential stormwater monitoring

Typical large watersheds

Cluster 6

22 watersheds


2 watersheds for long term monitoring

2. Watersheds for long term monitoring

  • Municipal Regional Stormwater NPDES Permit (MRP) lists watersheds for long term monitoring

  • How do they fit together?

    • Representative of urban/industrial source signals

    • Current data/leverage

    • Feasible to monitor

    • Address monitoring questions


Mrp monitoring questions

San Francisco Estuary Institute

Item #1a

MRP –Monitoring Questions

  • Which Bay tributaries contribute most to Bay impairment from pollutants of concern (POC)

  • Quantify annual tributary POC loads or concentrations

  • Quantify the decadal-scale POC loading or concentration trends

  • Quantify the projected impacts of management actions (including control measures)


Mrp loads monitoring watersheds

San Francisco Estuary Institute

Item #1a

MRP Loads Monitoring Watersheds

  • Guadalupe River Cluster 6

  • Walnut Creek Cluster 7

  • Zone 4 Line A Cluster 1

  • Castro Valley Creek

  • Rheem Creek – Richmond Cluster 1

  • Calabazas Creek –Santa Clara Cluster 1

  • San Mateo CreekCluster 2

  • Laurel Creek – San Mateo Cluster 1


Guadalupe river

Cluster 6 – large watershed

Varied land use

Extensive long term monitoring data

Planned Hg and PCB TMDL management actions

San Francisco Estuary Institute

Item #1a

Guadalupe River


Walnut creek

Cluster 7 – large watershed (368 km2)

Mostly open and residential land use

Attributes of Cluster 6

Current/prior monitoring data?

Planned management actions?

San Francisco Estuary Institute

Item #1a

Walnut Creek


Zone 4 line a

Cluster 1 – small watershed (8.8 km2)

44% industrial land use

4 yr monitoring data

Few planned management actions

Limited land use change

“Control” watershed

San Francisco Estuary Institute

Item #1a

Zone 4 Line A


Castro valley creek

Small watershed (14.2 km2)

Predominantly low density residential (50%) with some open (35%)

USGS long term flow, discharge, and stage monitoring

Copper and TSS monitoring in WY2004

San Francisco Estuary Institute

Item #1a

Castro Valley Creek


Discussion

San Francisco Estuary Institute

Item #1a

Discussion

  • What is an appropriate subset of watersheds to focus on for WY 2010 sampling?

  • How appropriate are the watersheds listed in the MRP for initial sampling to meet the MRP objectives?

  • What other factors should be considered in watershed selection?


Ancillary material

Ancillary material


Exploratory categorization of watersheds for potential stormwater monitoring

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