Topological Relationship‐Based Flow Direction Modeling: Stream Burning and Depression Filling

Author:

Liao Chang1ORCID,Zhou Tian1ORCID,Xu Donghui1ORCID,Tan Zeli1ORCID,Bisht Gautam1ORCID,Cooper Matthew G.1ORCID,Engwirda Darren2ORCID,Li Hong‐Yi3,Leung L. Ruby1ORCID

Affiliation:

1. Atmospheric Sciences and Global Change Pacific Northwest National Laboratory Richland WA USA

2. T‐3 Fluid Dynamics and Solid Mechanics Group Los Alamos National Laboratory Los Alamos NM USA

3. University of Houston Houston TX USA

Abstract

AbstractFlow direction modeling consists of (a) an accurate representation of the river network and (b) digital elevation model (DEM) processing to preserve characteristics with hydrological significance. In part 1 of our study, we presented a mesh‐independent approach to representing river networks on different types of meshes. This follow‐up part 2 study presents a novel DEM processing approach for flow direction modeling. This approach consists of (a) a topological relationship‐based hybrid breaching‐filling method to conduct stream burning for the river network and (b) a modified depression removal method for rivers and hillslopes. Our methods reduce modifications to surface elevations and provide a robust two‐step procedure to remove local depressions in DEM. They are mesh‐independent and can be applied to both structured and unstructured meshes. We applied our new methods with different model configurations to the Susquehanna River Basin. The results show that topological relationship‐based stream burning and depression‐filling methods can reproduce the correct river networks, providing high‐quality flow direction and other characteristics for hydrologic and Earth system models.

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

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