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Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: Successes and challenges

机译:在流域建模决策支持工具中嵌入联合生产并解决不确定性:成功与挑战

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摘要

Decision-support tools (DSTs) are often produced from collaborations between technical experts and stake-holders to address environmental problems and inform decision making. Studies in the past two decades have provided key insights on the use of DSTs and the importance of bidirectional information flows among technical experts and stakeholders - a process that is variously referred to as co-production, participatory modeling, structured decision making, or simply stakeholder participation. Many of these studies have elicited foundational insights for the broad field of water resources management; however, questions remain on approaches for balancing co-production with uncertainty specifically for watershed modeling decision support tools. In this paper, we outline a simple conceptual model that focuses on the DST development process. Then, using watershed modeling case studies found in the literature, we discuss successful outcomes and challenges associated with embedding various forms of co-production into each stage of the conceptual model. We also emphasize the "3 Cs" (i.e., characterization, calculation, communication) of uncertainty and provide evidence-based suggestions for their incorporation in the watershed modeling DST development process. We conclude by presenting a list of best practices derived from current literature for achieving effective and robust watershed modeling decision-support tools.
机译:决策支持工具(DST)通常是由技术专家和利益相关者之间的协作产生的,用于解决环境问题并为决策提供依据。过去二十年的研究提供了关于DST的使用以及技术专家和利益相关者之间双向信息流的重要性的重要见解-这一过程被不同地称为联合制作,参与式建模,结构化决策或简单地称为利益相关者参与。其中许多研究为水资源管理的广泛领域带来了基础性见解。但是,对于分流模型决策支持工具如何平衡联合生产和不确定性的方法仍然存在疑问。在本文中,我们概述了一个简单的概念模型,其重点是DST开发过程。然后,使用文献中发现的分水岭案例研究,我们讨论与将各种形式的联合生产嵌入概念模型的每个阶段相关的成功结果和挑战。我们还强调不确定性的“ 3 Cs”(即特征,计算,通信),并为将其纳入分水岭模型DST开发过程中提供了基于证据的建议。最后,我们列出了从当前文献中获得的最佳实践,以实现有效而强大的分水岭建模决策支持工具。

著录项

  • 来源
    《Environmental Modelling & Software》 |2018年第11期|368-379|共12页
  • 作者单位

    US EPA, Natl Hlth & Environm Effects Res Lab, Western Ecol Div, Corvallis, OR 97330 USA;

    US EPA, Natl Exposure Res Lab, Syst Exposure Div, Cincinnati, OH 45268 USA;

    Univ Colorado Boulder, Civil Environm & Architectural Engn, Boulder, CO 80309 USA;

    US EPA, Natl Hlth & Environm Effects Res Lab, Midcontinent Ecol Div, Duluth, MN 55804 USA;

    US EPA, Natl Hlth & Environm Effects Res Lab, Western Ecol Div, Corvallis, OR 97330 USA;

    US EPA, Natl Hlth & Environm Effects Res Lab, Western Ecol Div, Corvallis, OR 97330 USA;

    US EPA, Natl Exposure Res Lab, Syst Exposure Div, Cincinnati, OH 45268 USA;

    US EPA, Natl Risk Management Res Lab, Water Supply & Water Resources Div, Cincinnati, OH 45268 USA;

    US EPA, Natl Hlth & Environm Effects Res Lab, Western Ecol Div, Corvallis, OR 97330 USA;

    US EPA, Natl Hlth & Environm Effects Res Lab, Western Ecol Div, Corvallis, OR 97330 USA;

    US EPA, Natl Hlth & Environm Effects Res Lab, Atlantic Ecol Div, Narragansett, RI 02882 USA;

    Indiana Univ, Dept Geog, Bloomington, IN 47405 USA;

    US EPA, Natl Hlth & Environm Effects Res Lab, Western Ecol Div, Corvallis, OR 97330 USA;

    US EPA, Natl Hlth & Environm Effects Res Lab, Western Ecol Div, Corvallis, OR 97330 USA;

    US EPA, Natl Risk Management Res Lab, Water Supply & Water Resources Div, Cincinnati, OH 45268 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Decision-support tools; Co-production; Uncertainty; Watershed models; Watershed management;

    机译:决策支持工具;联合生产;不确定性;分水岭模型;分水岭管理;

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