Using machine learning to improve predictions and provide insight into fluvial sediment transport
Author:
Affiliation:
1. U.S. Geological Survey Upper Midwest Water Science Center Mounds View Minnesota USA
2. Department of Forest Resources University of Minnesota Minneapolis Minnesota USA
Funder
Minnesota Department of Natural Resources
Minnesota Pollution Control Agency
Publisher
Wiley
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14648
Reference82 articles.
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2. Alexander J. S. Wilson R. C. &Green W. R.(2012).A brief history and summary of the effects of river engineering and dams on the Mississippi River system and delta.U.S. Geological Survey Circular 1375(43 p.).https://pubs.usgs.gov/circ/1375/
3. Fitting and interpretation of sediment rating curves
4. Integrative neural networks model for prediction of sediment rating curve parameters for ungauged basins
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