System Engineering Strategies for Coastal Flooding Mitigation

McEligot, Kim; Brouse, Peggy

doi:10.1002/j.2334-5837.2018.00564.x

Cited by 1 publication

(1 citation statement)

References 13 publications

(15 reference statements)

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“…INCOSE provides comprehensive recommendations for building and maintaining generic systems, and has been widely applied in environmental compliance applications (e.g. Aspen et al 2018; McEligot and Brouse 2018; Falk et al 2019). The following sections describe implementation of these recommendations in the design and development of the nutrient credit trading compliance system.…”

Section: Methodsmentioning

confidence: 99%

Enhancing Efficacy of Water Quality Trading with Automation: A Case Study in Virginia’s Nutrient Trading Program

Saby

Goodall

Band

et al. 2021

J American Water Resour Assoc

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The complexity of water quality trading (WQT) policy can lead to the promulgation of regulations that are challenging to comply with and to enforce. As a result, transaction costs may be high and administrators have limited ability to monitor the program outcomes. These concerns can be alleviated in part through increased automation of trading compliance procedures. We present a case study of a pilot system designed for the Virginia Department of Transportation that automates compliance and streamlines brokering processes that are a part of the Virginia nonpoint source WQT program. Outcomes of this work reveal opportunities and challenges for implementing automated systems in WQT and suggest a framework for developing automated programs. We conclude that use of automated procedures to facilitate compliance with WQT rules can help identify gaps in data reporting and availability, amend inconsistency in rule interpretation, and reduce transaction costs for credit purchasers by enabling efficient analysis of trading opportunities. Persistent limitations to automation exist, including lack of standardized, machine accessible, and open data sources. Potential long‐term benefits of automating WQT processes include minimizing transaction costs, enabling new environmental data collection and policy analysis, and ultimately yielding improved WQT program efficacy and water resources outcomes.

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Section: Methodsmentioning

confidence: 99%