The DOI matches its Crossref record.
Automated Base Flow Separation and Recession Analysis Techniques
Abstract
An automated base flow separation technique has been developed and tested. Base flow is considered to be the ground‐water contribution to stream flow. Estimates of the amount of base flow can be derived from stream flow records. Such estimates are critical in the assessment of low flow characteristics of streams for use in water supply, water management, and pollution assessment. An automated base flow separation technique using a digital filter has been tested against three other automated techniques and manual separation methods. The filter appears to be comparable to other automated techniques in its ability to reproduce the results produced from graphical separation techiques. The filter technique is easy to use and has the added advantage in that it can be adjusted by the user to take into account personnel preferences in separation of stream flow into surface flow and base flow. The slope of the base flow recession has been used to estimate the volume of water in storage in the basin above the level of the stream channel, the amount of recharge to the shallow aquifer, and as an input into water budget models. A second automated technique was developed to calculate the slope of the base flow recession curve from stream flow record. This technique is an adaptation of the Master Recession Curve procedure. The results of this method were compared to manual estimates with an efficiency of 74 percent.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
Moriasi, D. N., Arnold, J. G., Liew, M. W. V., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007) · Transactions of the ASABE · doi:10.13031/2013.23153 · Cited by 13,446
Self-citationGassman, P. W., Reyes, M. R., Green, C. H., & Arnold, J. G. (2007) · Transactions of the ASABE · doi:10.13031/2013.23637 · Cited by 3,040
Self-citationChoosing appropriate techniques for quantifying groundwater recharge
Scanlon, B. R., Healy, R. W., & Cook, P. G. (2002) · Hydrogeology Journal · doi:10.1007/s10040-001-0176-2 · Cited by 1,729
AUTOMATED METHODS FOR ESTIMATING BASEFLOW AND GROUND WATER RECHARGE FROM STREAMFLOW RECORDS1
Arnold, J. G., & Allen, P. M. (1999) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1999.tb03599.x · Cited by 802
Self-citationSawicz, K., Wagener, T., Sivapalan, M., Troch, P. A., & Carrillo, G. (2011) · Hydrology and Earth System Sciences · doi:10.5194/hess-15-2895-2011 · Cited by 549
Metadata
- Authors
- Arnold, J. G., Allen, P. M., Muttiah, R., & Bernhardt, G.
- Venue
- Groundwater
- Publisher
- Wiley
- Published
- 1995-11
- Volume
- 33
- Issue
- 6
- Pages
- 1010-1018
- ISSN
- 0017-467X (ISSN-L)
- 1745-6584
- OpenAlex
- W1993096134
- Cited by
- 612
- References
- 0
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Automated Base Flow Separation and Recession Analysis Techniques. https://app.cochat.ai/papers/10.1111/j.1745-6584.1995.tb00046.x
- The paper
- Arnold, J. G., Allen, P. M., Muttiah, R., & Bernhardt, G. (1995). Automated Base Flow Separation and Recession Analysis Techniques. Groundwater. https://doi.org/10.1111/j.1745-6584.1995.tb00046.x
Data sources
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.