Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-1
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
20 Jan 2017
Review status
A revision of this discussion paper was accepted for the journal Hydrology and Earth System Sciences (HESS) and is expected to appear here in due course.
Delineating wetland catchments and modeling hydrologic connectivity using LiDAR data and aerial imagery
Qiusheng Wu1 and Charles R. Lane2 1Department of Geography, Binghamton University, State University of New York, Binghamton, NY 13902, USA
2U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. Martin Luther King Dr., Cincinnati, OH 45268, USA
Abstract. In traditional watershed delineation and topographic modeling, surface depressions are generally treated as spurious features and simply removed from a digital elevation model (DEM) to enforce flow continuity of water across the topographic surface to the watershed outlets. In reality, however, many depressions in the DEM are actual wetland landscape features that are seldom fully filled with water. For instance, wetland depressions in the Prairie Pothole Region (PPR) are seasonally to permanently flooded wetlands characterized by nested hierarchical structures with dynamic filling-spilling-merging surface-water hydrological processes. The objectives of this study were to delineate hierarchical wetland catchments and model their hydrologic connectivity using high-resolution LiDAR data and aerial imagery. The graph theory-based contour tree method was used to delineate the hierarchical wetland catchments and characterize their geometric and topological properties. Potential hydrologic connectivity between wetlands and streams were simulated using the least-cost path algorithm. The resulting flow network delineated putative temporary or seasonal flow paths connecting wetland depressions to each other or to the river network at scales finer than available through the National Hydrography Dataset. The results demonstrated that our proposed framework is promising for improving overland flow simulation and hydrologic connectivity analysis.

Citation: Wu, Q. and Lane, C. R.: Delineating wetland catchments and modeling hydrologic connectivity using LiDAR data and aerial imagery, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-1, in review, 2017.
Qiusheng Wu and Charles R. Lane
Qiusheng Wu and Charles R. Lane

Viewed

Total article views: 444 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
337 87 20 444 8 34

Views and downloads (calculated since 20 Jan 2017)

Cumulative views and downloads (calculated since 20 Jan 2017)

Viewed (geographical distribution)

Total article views: 444 (including HTML, PDF, and XML)

Thereof 440 with geography defined and 4 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 28 Jun 2017
Publications Copernicus
Download
Share