Topological relationships-based flow direction modeling:
mesh-independent river networks representation
Abstract
River networks are important features in surface hydrology. However,
accurately representing river networks in spatially distributed
hydrologic and Earth system models is often sensitive to the model’s
spatial resolution. Specifically, river networks are often
misrepresented because of the mismatch between the model’s spatial
resolution and river network details, resulting in significant
uncertainty in the projected flow direction. In this study, we developed
a topological relationships-based river network representation method
for spatially distributed hydrologic models. This novel method uses (1)
graph theory algorithms to simplify real-world vector-based river
networks and assist in mesh generation; and (2) a topological
relationship-based method to reconstruct conceptual river networks. The
main advantages of our method are that (1) it combines the strengths of
vector-based and DEM raster-based river network extraction methods; and
(2) it is mesh-independent and can be applied to both structured and
unstructured meshes. This method paves a path for advanced terrain
analysis and hydrologic modeling across different scales.