Grantee Research Project Results
Publications Details for Grant Number R830883
Adaptive Implementation Modeling and Monitoring for TMDL Refinement
RFA:
Developing Regional-Scale Stressor-Response Models for Use in Environmental Decision-making (2002)
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Reference Type | Reference Title | Journal | Author | Citation | Progress Report Year | Document Sources |
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Book Chapter | Decision-making and uncertainty in ambient water quality management. | None | Shabman LA | Shabman LA. Decision-making and uncertainty in ambient water quality management. In: Bruins RJF, Heberling MT, eds. Economics and Ecological Risk Assessment: Applications to Watershed Management. Boca Raton, FL: CRC Press 2004, Ch. 7, pp. 143-164. |
R830883 (2003) |
not available |
Journal Article | Integrated approach to total maximum daily load development for the Neuse River Estuary using Bayesian probability network model (Neu-BERN). | JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT | Borsuk ME, Stow CA, Reckhow KH | Borsuk ME, Stow CA, Reckhow KH. Integrated approach to total maximum daily load development for the Neuse River Estuary using Bayesian probability network model (Neu-BERN). Journal of Water Resources Planning and Management 2003;129(4):271-282. |
R830883 (2004) |
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Journal Article | A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis. | ECOLOGICAL MODELLING | Borsuk ME, Stow CA, Reckhow KH | Borsuk ME, Stow CA, Reckhow KH. A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis. Ecological Modelling 2004;173(2-3):219-239. |
R830883 (2003) R830883 (2004) |
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Journal Article | Confounding effect of flow on estuarine response to nitrogen loading. | JOURNAL OF ENVIRONMENTAL ENGINEERING | Borsuk ME, Stow CA, Reckhow KH | Borsuk ME, Stow CA, Reckhow KH. Confounding effect of flow on estuarine response to nitrogen loading. Journal of Environmental Engineering 2004;130(6):605-614. |
R830883 (2003) R830883 (2004) |
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Journal Article | Support of total maximum daily load programs using spatially referenced regression models. | JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT | McMahon G, Alexander RB, Qian S | McMahon G, Alexander RB, Qian S. Support of total maximum daily load programs using spatially referenced regression models. Journal of Water Resources Planning and Management 2003;129(4):315-329. |
R830883 (2003) R830883 (2004) |
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Journal Article | Nonlinear regression modeling of nutrient loads in streams: a Bayesian approach. | WATER RESOURCES RESEARCH | Qian SS, Reckhow KH, Zhai J, McMahon G | Qian SS, Reckhow KH, Zhai J, McMahon G. Nonlinear regression modeling of nutrient loads in streams: a Bayesian approach. Water Resources Research 2005;41;W07012, doi:10.1029/2005WR003986. |
R830883 (2004) R830883 (2005) |
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Presentation | Implementing TMDL plans in the face of analytic uncertainty. | None | Shabman L | Shabman L. Implementing TMDL plans in the face of analytic uncertainty. Presented at the 2003 Water Quality and the Wastewater Community: Emerging Pollutants and New Challenges Conference, Association of Metropolitan Sewer Authorities, Boston, MA, July 17, 2003. |
R830883 (2003) |
not available |
Presentation | Adaptive decision making for the TMDL program: opportunities and barriers. | None | Shabman L | Shabman L. Adaptive decision making for the TMDL program: opportunities and barriers. Presented at the Water Security in the 21st Century Conference, Universities Council on Water Resources, Washington, DC, July 23, 2003. |
R830883 (2003) |
not available |
Proceedings | A Bayesian analysis of SPARROW. | None | Qian SS, Reckhow KH | Qian SS, Reckhow KH. A Bayesian analysis of SPARROW. In: Proceedings of the American Water Resources Association 2004 Spring Specialty Conference, Nashville, TN, May 17-19, 2004. |
R830883 (2003) |
not available |
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.