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dc.contributor.authorVamsi Krishna Sridharan
dc.contributor.authorNigel W. T. Quinn
dc.contributor.authorSaurav Kumar
dc.contributor.authorSteven C. McCutcheon
dc.contributor.authorEbrahim Ahmadisharaf
dc.contributor.authorXing Fang
dc.contributor.authorHarry X. Zhang
dc.contributor.authorAndrew Parker
dc.date.accessioned2022-02-01T21:56:59Z
dc.date.available2022-02-01T21:56:59Z
dc.date.issued10/1/2021
dc.identifier.other%28ASCE%29HE.1943-5584.0002102.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4272344
dc.description.abstractComputer 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.
dc.publisherASCE
dc.titleSelecting Reliable Models for Total Maximum Daily Load Development: Holistic Protocol
dc.typeJournal Paper
dc.journal.volume26
dc.journal.issue10
dc.journal.titleJournal of Hydrologic Engineering
dc.identifier.doi10.1061/(ASCE)HE.1943-5584.0002102
dc.journal.fristpage04021031-1
dc.journal.lastpage04021031-22
dc.page22
dc.treeJournal of Hydrologic Engineering:;2021:;Volume ( 026 ):;issue: 010
dc.contenttypeFulltext


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