Assessing the roles of anthropogenic drainage structures on hydrologic connectivity using high-resolution digital elevation models (DATASETS)


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Created: Jan 23, 2021 at 11:20 p.m.
Last updated: Feb 05, 2021 at 12:04 a.m.
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Abstract

Stream flowline delineation from high-resolution digital elevation models (HRDEMs) can be biased partly due to the as absence of information on the locations of anthropogenic drainage structures (ADS) such as bridges and culverts on the grid surface. Without the ADS, the roads may act as ‘digital dams’ that prevent the overland drainages correctly crossing through in the flowline delineation. However, it is unclear if a combination of variables for terrain-based hydrologic modeling can be used to mitigate the effect of ‘digital dams.’ This study assessed the impacts of ADS locations, spatial resolution (ranging from 1-m to 10-m), depression processing methods (filling, breaching, and stream burning), and flow direction algorithms (D8, D-Infinity, and MFD-md) on hydrologic connectivity through ADS in an agrarian landscape of Nebraska. The assessment was conducted based on the offset distances between modeled stream crossings and original ADS on the road. Results suggested that a) stream burning in combination with D8 or D-Infinity flow direction algorithm is the best option for modeling stream flowlines from HRDEMs in an agrarian landscape; b) the smoothing effect associated with increasing the HRDEM resolution was not found significant for producing accurate drainage crossing near ADS locations; and c) D8 and D-Infinity flow direction algorithms resulted similar outputs with respect to hydrologic drainage crossing at ADS locations.

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
40.5706°
East Longitude
-98.6008°
South Latitude
40.3610°
West Longitude
-99.1529°

Content

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The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Related Resources

The content of this resource is derived from https://www.usgs.gov/core-science-systems/ngp/3dep
The content of this resource is derived from https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html

How to Cite

Bhadra, S., R. Li (2021). Assessing the roles of anthropogenic drainage structures on hydrologic connectivity using high-resolution digital elevation models (DATASETS), HydroShare, http://www.hydroshare.org/resource/dd90eb621cfe428a9875e975f18c6a3c

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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