SUCO_Seal.jpg

Silver Creek, next to SUNY College at Oneonta, New York

 

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SUNY Oneonta Earth Sciences

 

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Otsego County’s June 2006 Flood Data, with flooded areas for the main valleys, road closures, etc.

 

Dartmouth’s flood map for the 2006 flood

 

 

SilverCreekMap

Map of Silver Creek, nestled against the SUNY Oneonta campus in Oneonta, NY. North is “up”.

Elevation data to create the map derives from the National Elevation dataset (30 m spacing).

UTM projection. Red dots on Silver Creek mark survey locations for channel cross sections below.

 

SilverCreek-surveying-F2008.jpg

Setting up a survey in Silver Creek, with Tyson Robb and Tony Grimes, students at SUNY Oneonta.

Note the cobble terrace on left and right sides of the channel. We used this as a conservative

estimate of the flood height through this section of the stream.

 

Map of surveyed cross sections in Silver Creek, near the entrance to SUCO campus at West and Ravine

Parkway. North is “up”. Grid spacing is 10 meters. Green triangle and brown square mark GPS stations.

Two southwest points rest on the culvert beneath Ravine Parkway, visible in photo above.

 

 

The two cross sections above show the channel shape and flood height (horizontal blue line) at two locations

along Silver Creek, separated by about 60 m (~200 feet). No tributary enters the channel between these two

locations, so each section experienced the same discharge. Because the bedrock floored channel is so much smaller,

the velocity must have been much greater at this section than the alluvial (cobble/boulder covered) section. This is

a “roughness” effect. Greater roughness slows the flow, so the cross section area increases to transmit the same discharge.

Note, the bedrock here is smooth, relatively flat-lying sandstone, moderately resistant to erosion, and typically breaks

into large plate-like boulders when eroded from the bed of the channel.

 

Reconstructing flood surfaces is a major aspect of this project. Can it be done long after the flood

has receded? At each of the above cross sections, we could find some evidence of high water. From these,

we reconstruct the flood surface. We chose the highest mark for each cross section. The blue line in the figure

above represents the flood surface. Straight line regressions have been fit to both the floor of the channel

and the flood surface as general approximations of each. Clearly, flow depth increases downstream.

This occurs at the bedrock to alluvial transition. We can determine water surface slopes for the flood surface,

and, coupled with flow depth, we can estimate shear stress exerted on the bed of the channel. Thus,

we estimate the size of boulders that the flood could move. This work is ongoing.

 

 

 

 

Data source for flood height: Total station survey of flood debris (woody debris, imbricate boulders, top of gravel bars) and channel shape

by Les Hasbargen, Tyson Robb, Anthony Grimes, and Roy Widrig.

 

Page maintained by Les Hasbargen: hasbarle@oneonta.edu
Les is solely responsible for the content of this website
Last modified February 22, 2009