Presentation is loading. Please wait.

Presentation is loading. Please wait.

Developing a Valley Segment Classification for Wisconsin Streams Jana Stewart U.S. Geological Survey.

Similar presentations

Presentation on theme: "Developing a Valley Segment Classification for Wisconsin Streams Jana Stewart U.S. Geological Survey."— Presentation transcript:

1 Developing a Valley Segment Classification for Wisconsin Streams Jana Stewart U.S. Geological Survey

2 GIS Development Objectives (2002-2003) Review literature related to VST classification Coordinate VST methods with other GL States Acquire GIS data layers, tools, amls, etc. Develop draft Valley segment stream classification (1:100k and 1:24k)

3 Coordinating efforts to meet common goals Great Lakes Aquatic Gap: MI, NY, WI, OH, (IL, IN, MN, PA) EPA Star Grant: MI, IL, WI Wisconsin DNR Common goal: Develop ecological stream classification linked to aquatic species distributions Aquatic Gap goal: Identify gaps in the conservation of aquatic biodiversity EPA Star Grant goal: Landscape modeling for ecological status and risk assessment WDNR State goals: Assess fisheries potential and stream impairment Tool for baseline monitoring


5 VST Classification: Who’s doing what? Method Development (MI, TNC, MO and OH Aquatic Gap methods) WI: Lizhu Wang (WDNR), Chris Smith (WDNR), Jana Stewart (USGS) MI: Paul Seelbach (MIFR), Rick Clark and Arthur Cooper (U of MI), Steve Aichele and Ed Bissell (USGS) IL: Anne Hogan (IDNR) GIS Method Testing: WI: Jana Stewart and Rob Rose (USGS) MI: Steve Aichele and Ed Bissell (USGS) Data Acquisition: WI: Chris Smith (WDNR), Jana Stewart (USGS) Model Development: WI: Lizhu Wang (WDNR) GIS Processing: WI: Chris Smith (WDNR), Jana Stewart (USGS)

6 Method Development for VST Classification

7 VST Traditional Approach (MO, OH, MIFR, TNC) Valley segments stratify a continuous stream network into distinct hydrogeomorphic patches. Unique Valley Segment TypesIndividual Variables Temperature SizeFlowGradientGeology Valley Segment Types

8 What We Know From Valley Segment Classification Valley Segment Type Codes and Descriptions. 212230021 = Valley Segment Type Code 2 = Warm water 1 = Headwater size class 2 = Intermittent flow 2= Flowing through dolomite/limestone 3 = Relatively high gradient 0 = Valley wall interaction (N/A) 0 = Flows into another headwater 2 = Flowing within own valley 1 = Primary channel

9 River arc Surficial geology Gradient Sand & gravel Medium High Clay Calculate and store VST attributes for 3 levels Channel (line) Riparian (60 m buffer) Watershed (upstream area) Store interval/ratio data where possible Map hydrogeomorphic data as point and linear events on stream routes Refined Methods Channel attributes Break by categories or code by dominant type Existing Methods

10 Dynamic Segmentation: Events Stored in event tables Records in a data file (INFO or RDBMS) Not a feature class Use route measures to position the event Event types Linear Point Continuous Accidents Pavement Cracking Main St Speed 45354555 15 406080 95 20

11 Hydrography (Order- Strahler, Link and Dlink (Shreve), sinuosity) Elevation (slope) Geology (surficial geology texture, bedrock type, depth to bedrock, soil permeability) Climate (annual air temperature) Channel attributes: Stored as route on network

12 Land cover GW potential Valley wall interaction Riparian attributes: Calculated on a 60m buffer (each reach)

13 Drainage area and density Climate (annual precipitation, growing degree days, evapotranspiration, air temperature (July max, min, mean) Geology (surficial texture, bedrock type, depth to bedrock, soil permeability) Elevation (slope) Land cover Catchment attributes: Calculated for catchment of each reach

14 Download NHD Append_NHD Fix NHD -project -attributes -connection -loops -flow -unique identifier Cleaned NHD NHD Preprocessing Download and append NED Clip to processing unit Fill Sinks (1 st time) Exaggerate watershed divide Very important points TOPOGRID Fill sinks (2nd time) Product: conditioned DEM NED Conditioning Identify HUCs to define processing units Products: -external boundary of processing unit -detailed subwatershed boundary (ie. 12 digit HUCs) Define Processing Units Channel Processing ChanSinuousity.aml ChanGradient.aml Riparian Processing Run RipLanduse.aml Run RipDarcy.aml Run RipWall.aml Run CatchArea.aml Catchment Processing CatchLanduse.aml CatchSlope.aml CatchPrecip.aml CatchDarcy.aml CatchBedrockD.aml CatchETaml CatchGDD.aml CatchAirtemp.aml CatchArea.aml CatchSurftex.aml CatchBedrock.aml CatchDensity.aml ChanBedrockD.aml ChanBedrock.aml ChanSurf.aml 1 2 3 Catchment Delineation Run GapShed.aml Create Riparian Zone Run GapRip.aml ChanOrder.aml ChanDlink.aml ChanLink.aml

15 Data Acquisition and Development

16 Hydrography 100k / 24k comparison Order Link and Dlink Sinuosity Drainage density Initial Processing: WDNR 1:24K Hydrography Meet State needs Current Processing: National Hydrography Data (1:100k) Meet project needs Regional consistency Future: Determine methods to produce both -Independent efforts? -Conflation?

17 Hydrologic Units 30 M DEMs Slope (channel, catchment) Valley wall interaction Catchment delineation Processing units Catchment delineation

18 Quarternary Geology Depth to Bedrock Bedrock Type Geology Bedrock type Depth to bedrock Surficial deposits texture Soil permeability

19 Precipitation (Average annual for US 1961 – 1990) Source: NRCS Water & Climate Center Climate: PRISM Data Growing Degree Days Precipitation Growing degree days Air temperature Evapotranspiration

20 Modeling Temperature and Flow for Wisconsin -Modeling conducted by Lizhu Wang (WDNR) PROGRESS Gathered needed GIS layers. Sampled 125 streams with USGS gaging stations for physical habitat and biological communities. Sampled 300 streams for continuous summer water temperature, physical habitat, and biological communities (including the 125 gaging sites). Delineated watershed boundaries and clipped out data from all the GIS layers for the 300 streams.

21 Stream Flow Modeling Sites Land use (8 variables). Soil (5 variables). Geology (5 variables). Bedrock (12 variables). Darcy (watershed mean). Weather (PPT, GDD). Watershed condition (slope, area). Flow Model Development Variables considered

22 Darcy Layer

23 Land use (8 variables); soil (5 variables). Geology (5 variables); bedrock (12 variables). Darcy (watershed mean). Weather & watershed (PPT, GDD, slope, area). Channel (segment slope & wetted width). Air temperature & buffer vegetative land-use have not been used yet. Temperature Model Development Variables considered

24 Hydrography Processing Units

25 GIS Processing Status Hydrography (1:24K) Selected primary flow channel Identified connect and disconnects Determined disconnects to connect -Sources: DRGs, DOQs, NHD 100k) - Completed connections - Channel - Completed Strahler stream order Channel - Shreve Link and Dlink (almost completed)

26 Buffalo/Trempeleau (07040001 ) Strahler Order

27 2003 Timeline for NHD Processing (1:100K) March 10 th Define processing units May 10 th Prepare State data layers Complete NHD cleaning June 15 th Complete channel processing Complete riparian processing Complete DEM conditioning August 15 th Complete catchment delineation Complete temperature and flow models September 15th Complete catchment processing September 30th – Produce Valley Segment Classification

28 Plans for next year Finalize Valley segment classification (1:100k NHD) Cluster analysis to determine unique valley segment types Develop primary assessment units (Ecological Drainage Units) Link fish database to stream segments Prepare fish distribution maps for expert review

Download ppt "Developing a Valley Segment Classification for Wisconsin Streams Jana Stewart U.S. Geological Survey."

Similar presentations

Ads by Google