Hydrological Connectivity Modeling to Distinguish Coastal and Non-Coastal Wetlands

Session: 59. - Innovative Monitoring across the Great Lakes

Mary Miller, Michigan Tech Research Institute, [email protected]
Laura Bourgeau-Chavez, Michigan Tech Research Inst., [email protected]
Michael Battaglia, MTRI, [email protected]
Guy Meadows, Michigan Tech. University, Great Lakes Research Center, [email protected]
Amanda Grimm, Michigan Tech Research Inst., [email protected]
Colin Brooks, Michigan Tech Research Institute, [email protected]

Abstract

Coastal wetlands provide wildlife with vital habitat and they protect neighboring uplands and shorelines from both flooding and erosion during storm surges or when lake levels are high. To support the wise management of Michigan’s coastal resources the wetlands that are hydrologically connected to the Laurentian Great Lakes need to be identified. An automated algorithm to map connectivity was created utilizing existing spatial data sets, image processing and hydrological modeling.  Spatial data sets include hydrography, roads, railroads, DNR bridges and culverts, and 10 m USGS Digital Elevation Models (DEMs). Multiple stream delineation tools were tested in order to identify the methodology that most accurately routed streams and channels under bridges and through road culverts.  Connections at varying water levels were then established using regional historical water levels and MTRI’s bi-national Great Lakes coastal wetland map.  The Lower Peninsula has been mapped and plans are in place to map the Upper Peninsula.  Field campaigns are planned in the spring to collect validation data and perform a local accuracy assessment.

1. Keyword
coastal wetlands

2. Keyword
modeling

3. Keyword
water level fluctuations

4. Additional Keyword
hydrology

5. Additional Keyword
GIS

6. Additional Keyword
Great Lakes