부산대학교 도서관

Flow 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. Plain Language Summary: Flow direction and several other flow routing attributes are important inputs for hydrologic models. Existing methods have several limitations, including only supporting rectangle mesh systems. In this study, we extend our topology‐based river network representation method to define flow direction and other attributes. With its new features, our method can be used to generate high‐quality flow routing parameters for hydrologic models. Key Points: We use topological relationships in adaptive stream burningWe use a mesh‐independent approach to conduct depression fillingThe model produces several flow routing parameters, including flow direction [ABSTRACT FROM AUTHOR]