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

    Source: Journal of Hydrologic Engineering:;2021:;Volume ( 026 ):;issue: 010::page 04021031-1
    Author:
    Vamsi Krishna Sridharan
    ,
    Nigel W. T. Quinn
    ,
    Saurav Kumar
    ,
    Steven C. McCutcheon
    ,
    Ebrahim Ahmadisharaf
    ,
    Xing Fang
    ,
    Harry X. Zhang
    ,
    Andrew Parker
    DOI: 10.1061/(ASCE)HE.1943-5584.0002102
    Publisher: ASCE
    Abstract: 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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      Selecting Reliable Models for Total Maximum Daily Load Development: Holistic Protocol

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