Calibration and validation data to build PINN-Sed: an interconnected Physics-Informed Machine Learning Model for Suspended Sediment Transport in River Network.
Published: 6 May 2025| Version 1 | DOI: 10.17632/w6s2r2rg5y.1
Contributor:
Arman HaddadchiDescription
The flow and sediment concentration data from three monitoring sites in the Manawatu River, used for calibration and validation of an interconnected Physics-Informed Machine Learning Model for suspended sediment transport in river network (PINN-Sed) can be found here. The data includes the date, flow discharge, and total sediment concentration at each monitoring site.
Files
Institutions
- National Institute of Water and Atmospheric Research
Categories
River Hydrology, Sediment Analysis