Abstract
DEM-based river cross-section extraction and 1-D streamflow simulation for eco-hydrological modeling: a case study in upstream Hiikawa River, Japan
Highlights
Prediction of Ungauged Basins (PUB) initiative of the International Association of Hydrological Sciences pro‐ posed by Sivapalan (2003) and reviewed by Hrachowitz et al (2013))
The objective of this study is to demonstrate the potential of digital elevation model (DEM) based river cross-section extraction and its implementation in eco-hydrological mod‐ eling studies
We explored the direct use of widely available 5 m digital eleva‐ tion model (DEM) data for the upstream Hiikawa River as a case study
Summary
Prediction of Ungauged Basins (PUB) initiative of the International Association of Hydrological Sciences pro‐ posed by Sivapalan (2003) and reviewed by Hrachowitz et al (2013)). This has motivated the development of globally available climate/hydrological databases such as APHRODITE (Yatagai et al, 2012) or the Global Runoff Data Center (GRDC) discharge datasets, data-assimilation techniques with hydrodynamic models, or globally avail‐ able databases. The availability of river cross-section geometry data remains a significant issue. A few studies have applied widely available digital elevation data to the extraction of river cross-sections for streamflow modeling (Gichamo et al, 2012; Zheng et al, 2018)
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