The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MODELING LONG-TERM WATER QUALITY IMPACT OF STRUCTURAL BMPS
Open accessAbstract
Structural best management practices (BMPs) that reduce soil erosion and nutrient losses have been recommendedand installed on agricultural land for years. A structural BMP is expected to be fully functional only for a limited period afterinstallation, after which degradation of the BMP is likely to lead to a reduction in the water quality improvement providedby the BMP. Assessing the impact of BMPs on water quality is of widespread interest, but no standard methods exist todetermine the water quality impact of structural BMPs, particularly as the impact changes through time. The objective of thisstudy was to determine the long-term (~20 year) impact of structural BMPs in two subwatersheds of Black Creek on sedimentand phosphorus loads using the Soil and Water Assessment Tool (SWAT) model. The BMPs were represented by modifyingSWAT parameters to reflect the impact the practice has on the processes simulated within SWAT, both when practices are fullyfunctional and as their condition deteriorates. The current condition of the BMPs was determined using field evaluationresults from a previously developed BMP condition evaluation tool. Based on simulations in the two subwatersheds, BMPsin good condition reduced the average annual sediment yield by 16% to 32% and the average annual phosphorus yield by10% to 24%. BMPs in their current condition reduced sediment yield by only 7% to 10% and phosphorus yield by 7% to 17%.
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
Cites
LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1
Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1998.tb05961.x · Cited by 7,945
Self-citation
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-citationRepresentation of agricultural conservation practices with SWAT
Arabi, M., Frankenberger, J. R., Engel, B. A., & Arnold, J. G. (2008) · Hydrological Processes · doi:10.1002/hyp.6890 · Cited by 401
Self-citationLiu, Y., Engel, B. A., Flanagan, D. C., Gitau, M. W., McMillan, S. K., & Chaubey, I. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.05.212 · Cited by 363
Self-citationHashemi, F., Olesen, J. E., Børgesen, C. D., Tornbjerg, H., Thodsen, H., & Dalgaard, T. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.04.390 · Cited by 22
Metadata
- Authors
- Bracmort, K. S., Arabi, M., Frankenberger, J. R., Engel, B. A., & Arnold, J. G.
- Venue
- Transactions of the ASABE
- Published
- 2006
- Volume
- 49
- Issue
- 2
- Pages
- 367-374
- ISSN
- 2151-0032 (ISSN-L)
- 2151-0040
- OpenAlex
- W2079188370
- Cited by
- 260
- References
- 1
- FWCI
- 15.91
- Type
- journal article
- Language
- en
- Open access
- bronze
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: MODELING LONG-TERM WATER QUALITY IMPACT OF STRUCTURAL BMPS. https://app.cochat.ai/papers/10.13031/2013.20411
- The paper
- Bracmort, K. S., Arabi, M., Frankenberger, J. R., Engel, B. A., & Arnold, J. G. (2006). MODELING LONG-TERM WATER QUALITY IMPACT OF STRUCTURAL BMPS. Transactions of the ASABE. https://doi.org/10.13031/2013.20411
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.