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|a 628.1
|2 23
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|a UAMI
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|a Leisenring, Marc.
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|a Linking BMP Systems Performance to Receiving Water Protection BMP PERFORMANCE ALGORITHMS.
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|a [Place of publication not identified] :
|b Iwa Publishing,
|c 2014.
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|a 1 online resource (258 pages)
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|a text
|b txt
|2 rdacontent
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|a online resource
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|a Issue contents / Previous abstract / Next abstract Water Intelligence Online IWA Publishing 2013 Linking BMP Systems Performance to Receiving Water Protection BMP PERFORMANCE ALGORITHMS Marc Leisenring, Michael Barrett, Christine Pomeroy, Aaron Poresky, Larry Roesner, A. Charles Rowney and Eric Strecker ABSTRACT While substantial information exists regarding many of the technical activities associated with developing stormwater management plans and demonstrating regulatory compliance, there is no unified modeling and analysis framework for linking receiving water quality to watershed management activities. This missing link has led many stormwater practitioners to select and design BMPs utilizing a variety of watershed and BMP analysis tools without specifically evaluating whether the proposed solutions will achieve receiving water goals. Consequently, a pressing need exists for a decision-support tool that links watershed models, BMP analysis tools, and receiving water quality models in an over-arching framework to assist stormwater managers, designers, regulators, and others in locating, selecting, and conceptually designing BMPs to specifically address receiving water issues. This project includes the development of a modeling tool called the BMP Selection/Receiving Water Protection Toolbox (Toolbox). After selecting an initial representative list of water quality parameters and stormwater BMPs, the team compared and evaluated algorithms for the BMP Module of the Toolbox.
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|a Cover; Copyright; Acknowledgments; Abstract and Benefits; Table of Contents; List of Tables; List of Figures; List of Acronyms; Executive Summary; Chapter 1.0: Introduction; 1.1 Background and Purpose of this Document; 1.2 Document Organization; Chapter 2.0: Selection of Constituents and BMPs; 2.1 Water Quality Constituents; 2.2 Representative BMPs; Chapter 3.0: Review of BMP Modeling Approaches; 3.1 Introduction to Simulating BMP Effectiveness; 3.2 Hydraulic/Hydrologic Simulation; 3.2.1 General Considerations; 3.2.2 Common Modeling Methods; 3.3 Water Quality Prediction.
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|a 3.3.1 Empirical and Semi-Empirical Modeling Methods3.3.2 Lumped Unit Process-Based Modeling Methods; 3.4 Simulating Distributed BMPs; 3.4.1 Individual BMP Approach; 3.4.2 Watershed Integrated Approach; 3.4.3 Regionally Segmented, Unit BMP Approach; 3.4.4 Categorically Segmented, Unit BMP Approach; 3.4.5 Watershed Model Parameter Adjustment Approach; 3.4.6 Hydrograph Post-Processing Approach; Chapter 4.0: Recommended General BMP Algorithms; 4.1 Treatment Algorithms; 4.1.1 Pollutant Partitioning; 4.1.2 Particle Size Distribution; 4.1.3 Particle Settling; 4.1.4 Mass Fractions; 4.1.5 Clogging.
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|a 4.1.6 First-Order Decay with Irreducible Constant (k-C*)4.1.7 Influent-Effluent Regression; 4.2 Recommended Distributed BMP Simulation Approach; 4.2.1 User Input Requirements; 4.2.2 Benefits and Limitations of Approach; Chapter 5.0: Recommended BMP Specific Algorithms; 5.1 Permeable Pavement; 5.1.1 Storage Definitions; 5.1.2 Maximum Pavement Inflow; 5.1.3 Volume Reduction; 5.1.4 Underdrain Discharge; 5.1.5 Algorithm Summary; 5.2 Cisterns; 5.2.1 Storage Definitions; 5.2.2 Volume Reduction; 5.2.3 Algorithm Summary; 5.3 Vegetated Swales; 5.3.1 Storage Definitions; 5.3.2 Treatment Capacity.
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|a 5.3.3 Volume Reduction5.3.4 Treated Discharge; 5.3.5 Algorithm Summary; 5.4 Bioretention; 5.4.1 Storage Definitions; 5.4.2 Maximum Media Bed Flow Rate; 5.4.3 Volume Reductions; 5.4.4 Underdrain Discharges; 5.4.5 Algorithm Summary; 5.5 Sand Filter; 5.5.1 Storage Definitions; 5.5.2 Maximum Sand Filter Flow Rate; 5.5.3 Volume Reductions; 5.5.4 Underdrain Discharges; 5.5.5 Algorithm Summary; 5.6 Dry Extended Detention Basins; 5.6.1 Storage Definitions; 5.6.2 Volume Reduction; 5.6.3 Treatment Outlet Discharges; 5.6.4 Algorithm Summary; 5.7 Wet Ponds; 5.7.1 Storage Definitions.
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|a 5.7.2 Volume Reduction5.7.3 Treated Discharges; 5.7.4 Algorithm Summary; Chapter 6.0: Summary and Conclusions; 6.1 Recommended BMP Performance Algorithms; 6.2 Expected Level of User Expertise and Input Requirements; 6.3 Data Gaps and Needs; Appendix A: Pollutant Fact Sheets; Appendix B: Stormwater BMP Fact Sheets; Appendix C: Scatterplot Smoothing of BMP Influent/Effluent Data; Appendix D: Media Filter Algorithms; Appendix E: Linear Regression of BMP Influent/Effluent Concentrations; Appendix F: Evaluation of Hydrograph Post-Processing Approach; References.
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|a Includes bibliographical references.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Water quality management.
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650 |
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|a Best management practices (Pollution prevention)
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650 |
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|a Eau
|x Qualité
|x Gestion.
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650 |
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|a Meilleures pratiques de gestion (Prévention de la pollution)
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|a water quality management.
|2 aat
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|a SCIENCE
|x Applied Sciences.
|2 bisacsh
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650 |
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|a Best management practices (Pollution prevention)
|2 fast
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650 |
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|a Water quality management
|2 fast
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|i Print version:
|t Linking BMP systems performance to receiving water protection : BMP performance algorithms.
|d Alexandria, VA : Water Environment Research Foundation, 2013
|z 9781780405438
|w (DLC) 17600586
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856 |
4 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3120571
|z Texto completo
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL3120571
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|a ProQuest MyiLibrary Digital eBook Collection
|b IDEB
|n cis27451810
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|a 92
|b IZTAP
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