为加拿大安大略省水风险管理和决策支持开发跨学科工具

IF 2.5 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Guneet Sandhu, Olaf Weber, Michael O Wood, Horatiu A Rus and Jason Thistlethwaite
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引用次数: 0

摘要

现有文献对加拿大安大略省私营部门支持可持续水资源管理决策的风险管理策略和工具的研究十分有限。此外,在了解私营部门如何优先考虑和管理水资源风险方面仍然存在差距。为了弥补这些差距,这项跨学科研究针对水安全风险采用了一种新颖的规范-分析风险治理理论框架,该框架将分析性风险评估与规范性优先事项和从业人员的见解相结合,以研究与具体情况相适应的水风险管理策略并开发决策支持工具。研究采用混合方法,首先通过调查了解从业人员对七项水风险指标的优先考虑,并调查水风险管理方法。然后进行访谈,深入了解水风险管理的优先事项、战略、机遇和信任的作用。研究发现,根据水风险的严重程度、行业、地点和背景,需要将监管、自愿和多方利益相关者参与的方法结合起来。此外,灵活性、效率、战略激励以及经济和监管信号等标准也至关重要。最后,该研究利用二手数据分析,将跨学科风险数据与实践者的优先事项相结合,开发出安大略省首个水风险管理决策支持工具 "WATR-DST"。WATR-DST 是一种自动化工具,它应用了研究结果,并通过以用户友好的格式提供与具体情况相适应的风险信息,协助多部门进行与水有关的决策、实践和投资。根据用户输入的信息(地点、部门和水源类型),该工具可显示七种水风险的严重程度、公众和媒体关注的定性主题,并推荐水风险管理策略。因此,本研究通过展示规范分析框架在私营部门水风险管理中的新应用,为可持续管理、风险分析和环境管理方面的知识做出了贡献。WATR-DST 对改善安大略省与水有关的多部门决策做出了重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a transdisciplinary tool for water risk management and decision-support in Ontario, Canada
Extant literature reveals limited examination of risk management strategies and tools to support decision-making for sustainable water management in the private sector in Ontario, Canada. Moreover, a gap persists in understanding how water risks are prioritized and managed in the private sector. Addressing these gaps, this transdisciplinary study applied a novel normative-analytical risk governance theoretical framework to water security risks, which combines analytical risk estimation with normative priorities and insights of practitioners, to examine contextually-attuned water risk management strategies and develop a decision-support tool. Using mixed methods, the study first employed a survey to elicit practitioner priorities for seven water risk indicators and investigated water risk management approaches. Then, interviews were conducted to obtain in-depth understanding about the priorities, strategies, opportunities, and role of trust in water risk management. The study found that a combination of regulatory, voluntary, and multi-stakeholder participatory approaches is needed, contingent on the severity of water risks, sector, location, and context. Moreover, the criteria of flexibility, efficiency, strategic incentives, and economic and regulatory signals, are essential. Finally, using secondary data analysis, the study integrated interdisciplinary risk data with practitioner priorities to develop a first-of-a-kind decision-support tool for water risk management in Ontario, ‘WATR-DST’. WATR-DST is an automated tool that applies the study’s findings and assists multi-sector water-related decisions, practices, and investments by providing contextually-attuned risk information in a user-friendly format. Based on the user inputs (location, sector, and source type), it displays the severity of seven water risks, qualitative themes under public and media attention, and recommends water risk management strategies. Thus, the study contributes to knowledge in sustainability management, risk analysis, and environmental management by demonstrating the novel application of the normative-analytical framework for water risk management in the private sector. WATR-DST is a key contribution envisioned to improve multi-sector water-related decisions in Ontario.
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来源期刊
Environmental Research Communications
Environmental Research Communications ENVIRONMENTAL SCIENCES-
CiteScore
3.50
自引率
0.00%
发文量
136
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