Lessons Learned from TMDL Implementation Case Studies

Benham, Brian Leslie; Zeckoski, Rebecca W.; Yagow, Gene

doi:10.2175/193317708x281370

Cited by 16 publications

(10 citation statements)

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“…Despite the relatively large impact of nonpoint source pollution on instream microbial concentrations, quantitative data describing microbial transport in surface water is sparse and limits the reliability of modeling efforts ( Jamieson et al 2004a;Dorner et al 2006;Pachepsky et al 2006;Arnone & Walling 2007;Benham et al 2008;Keller & Cavallaro 2008). Specifically, microbes are generally modeled as individual free cells of near-neutral buoyancy, doi: 10.2166/wh.2009.232 even though increasing evidence suggests that many microorganisms partition between a particle-associated and free (unassociated) phase (Ferguson et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Comparison of the presence and partitioning behavior of indicator organisms and Salmonella spp. in an urban watershed

Krometis

Characklis

Drummey

et al. 2009

Journal of Water and Health

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The appropriateness of indicator organisms as surrogates for human pathogens in water quality modeling is dependent on similarities in both presence and transport behavior; however, very little data relating indicator and bacterial pathogen transport behavior in receiving waters is available. In this study observations of presence, partitioning behavior (i.e. association with settleable particles) and removal by upland detention basins were used to assess the suitability of six indicator organisms as surrogates for Salmonella spp. bacteria in an urban watershed.The fecal indicator bacteria (fecal coliforms, E. coli and enterococci) were most closely correlated with Salmonella in terms of presence and partitioning behavior (25-35% associated with settleable particles on average); however, further resolution of the variability associated with Salmonella partitioning is required. Higher removal of particle-associated microbes relative to the total microbial concentration by the detention ponds suggests that sedimentation may be an important removal mechanism. However, large fluctuations in pond performance between storm events and occasional net microbial exports in effluents indicate that these best management practices (BMPs), as currently implemented, will be unlikely to achieve water quality objectives.

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Section: Introductionmentioning

confidence: 99%

Comparison of the presence and partitioning behavior of indicator organisms and Salmonella spp. in an urban watershed

Krometis

Characklis

Drummey

et al. 2009

Journal of Water and Health

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“…The relative importance of factors shown in Figs. 3-5 is affected by the interplay among the practical criteria for successful TMDL modeling (Cabrera-Stagno 2007;Benham et al 2008). By carefully considering these factors, modeling teams can develop parsimonious and defensible TMDL models chosen in a cost-effective manner.…”

Section: Discussionmentioning

confidence: 99%

“…Specifically, we looked for studies based on surveys of state agencies and practitioners to identify challenges in model selection. Very few such studies exist (Neilson and Stevens 2002;Cabrera-Stagno 2007;Benham et al 2008;Clark and Vanrolleghem 2010;Topp et al 2020). We also studied documents describing the modeling and data needs of various commonly used watershed and water quality models (Deas and Lowney 2000;Muñoz-Carpena et al 2006;Keisman and Shenk 2013;Quinn et al 2019;Water Environment Federation 2020).…”

Section: Search For Existing Model Selection Protocolmentioning

confidence: 99%

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Selecting Reliable Models for Total Maximum Daily Load Development: Holistic Protocol

Sridharan

Quinn

Kumar³

et al. 2021

J. Hydrol. Eng.

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Computer models and simpler methods must be used to reliably determine total maximum daily loads (TMDLs) for impaired waters of the US. Models are also useful to develop implementation plans that allocate load reductions to meet water quality standards. During model selection, practical considerations sometimes override the fundamental requirements of parsimony and defensibility. For the first time, a rationale for efficiently selecting reliable models for TMDL determinations is presented in this paper, based on deliberations of the TMDL Analysis and Modeling Task Committee of the Environmental and Water Resources Institute of ASCE. This protocol is based on technical criteria (waterbody, water quality, and data requirements) and management constraints (state plans and priorities, stakeholder and expert engagement, and state authority to manage pollution sources and state allocation priorities). Uncertainties due to changes in economic activity, population, land use, climate, sea level, and policies are also included. To reduce wasteful trial-and-error iterations during model selection, an optimal conceptual modeling framework is identified and subsequently refined in a flowchart based on practical considerations. The proposed protocol holistically defines the state of the science in model selection and is anticipated to soon define the state of the practice for TMDL determination.

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“…Since these macroinvertebrates generally comprise the lower levels of the food chain in freshwater systems, such losses are considered a violation of the biological integrity standards under the Clean Water Act; stream condition indices (SCIs), which are used by many states to assess in-stream ecological health, are largely based on collective quantification of these organisms (Barbour et al, 1999). Ultimately, remediation efforts, including the development of total maximum daily loads (TMDLs) in accordance with the US Clean Water Act focus on identifying specific system stressors related to benthic macroinvertebrate loss; however, the specific mechanisms responsible for species loss are generally complex and not well understood (Benham et al, 2008;Keller and Cavallaro, 2008).…”

Section: Introductionmentioning

confidence: 99%

Inorganic constituents of conductivity in five central Appalachian watersheds with mixed source-driven pollutants

Cook

Krometis

Sarver

et al. 2015

Ecological Engineering

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Lessons Learned from TMDL Implementation Case Studies

Cited by 16 publications

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Comparison of the presence and partitioning behavior of indicator organisms and Salmonella spp. in an urban watershed

Comparison of the presence and partitioning behavior of indicator organisms and Salmonella spp. in an urban watershed

Selecting Reliable Models for Total Maximum Daily Load Development: Holistic Protocol

Inorganic constituents of conductivity in five central Appalachian watersheds with mixed source-driven pollutants

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