Evaluating City Scale Surface Water Management Using a Rapid Assessment Framework in Melbourne, Australia

Evaluating City Scale Surface Water Management Using a Rapid Assessment Framework in Melbourne, Australia
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使用澳大利亚墨尔本的快速评估框架评估城市规模的地表水管理

DOI:
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发表时间:
2018
期刊:
New Trends in Urban Drainage Modelling
影响因子:
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通讯作者:
T. Fletcher
T. Fletcher
中科院分区:
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文献类型:
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作者:
J. Webber;M. Burns;G. Fu;D. Butler;T. Fletcher

文献摘要

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本研究开发了战略性地表水管理筛选框架的应用,以增强城市的决策支持。城市的决策支持通常受到详细分析的资源成本的限制,这种新方法通过将简化的选项筛选过程应用于证据策略并直接对有希望的选项进行未来的详细建模来克服这一问题。这项研究通过与关键流域利益相关者合作,使用现实世界案例研究,通过选项评估开发方法,从而推进了先前的研究。研究包括举办利益相关者参与研讨会,以识别流域洪水危害并设计潜在的管理策略,然后应用快速洪水评估框架来评估每个策略的防洪潜力。理论意义表明,城市规模的干预措施在管理设计标准洪水事件方面表现出有效的绩效。实践结果表明,由于对协作策略的快速分析,该框架是一种有效的利益相关者参与工具。对读者的主要好处是了解快速、简化的城市排水建模可以提供一个机会来协作筛选洪水灾害并生成优先考虑城市流域详细建模的证据。
This research develops application of a strategic surface water management screening framework to enhance decision support in cities. Decision support in cities is typically constrained by resource costs of detailed analysis, this new methodology overcomes this through applying a simplified option screening process to evidence strategy and direct future detailed modelling of promising options. This study advanced on previous research by developing the methodology through option evaluation using a real world case study in collaboration with key catchment stakeholders. Research included stakeholder engagement workshops to identify catchment flood hazards and design potential management strategies, followed by application of the fast flood assessment framework to assess the flood reduction potential of each strategy. Theoretical implications indicate that city scale interventions demonstrate effective performance at managing design standard flood events. Practical findings indicate the framework to be an effective stakeholder engagement tool due to fast analysis of collaborative strategies. The key benefit to readers is understanding that fast, simplified urban drainage modelling can provide an opportunity to collaboratively screen flood hazards and generate evidence for prioritising detailed modelling in urban catchments.