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River Loads Underestimated by Rating Curves
Abstract
Statistical considerations show that the sediment, solute, or pollutant load of a river is likely to be underestimated by methods in which unmeasured concentrations are estimated from discharge using a least squares regression for the logarithm of concentration. The degree of underestimation increases with the degree of scatter about the rating curve and can reach 50%. A simple correction factor is proposed and tested successfully on simulated and real data sets.
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Cited by
Estimating the volume and age of water stored in global lakes using a geo-statistical approach
Messager, M. L., Lehner, B., Grill, G., Nedeva, I., & Schmitt, O. (2016) · Nature Communications · doi:10.1038/ncomms13603 · Cited by 1,779
Cohn, T. A., Caulder, D. L., Gilroy, E. J., Zynjuk, L. D., & Summers, R. M. (1992) · Water Resources Research · doi:10.1029/92wr01008 · Cited by 435
Accuracy and precision of methods for estimating river loads
Ferguson, R. I. (1987) · Earth Surface Processes and Landforms · doi:10.1002/esp.3290120111 · Cited by 286
Self-citation
Metadata
- Authors
- Ferguson, R. I.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 1986-01
- Volume
- 22
- Issue
- 1
- Pages
- 74-76
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W2084491972
- Cited by
- 798
- References
- 0
- FWCI
- 48.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: River Loads Underestimated by Rating Curves. https://app.cochat.ai/papers/10.1029/wr022i001p00074
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- Ferguson, R. I. (1986). River Loads Underestimated by Rating Curves. Water Resources Research. https://doi.org/10.1029/wr022i001p00074
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
