A review of modelling methodologies for flood source area (FSA) identification
A review of modelling methodologies for flood source area (FSA) identification
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DOI：
10.1007/s11069-021-04672-2
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发表时间：
2021-03
期刊：
影响因子：
3.7
通讯作者：
Amrie Singh;D. Dawson;M. Trigg;N. Wright
中科院分区：
文献类型：
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作者：
Amrie Singh;D. Dawson;M. Trigg;N. Wright
洪灾是一种重要的全球性灾害，平均每年造成超过400亿美元的损失，影响全球超过2.5亿人口。洪水的复杂过程取决于时间和空间因素，如天气模式、地形和地貌。在景观不断变化的城市环境中，地表覆盖、绿地、排水系统等空间因素具有重要影响。因此，了解对洪灾有重大影响的源区对于战略洪灾风险管理至关重要。虽然洪源区识别并不是一个新概念，但它在洪水模拟研究中的应用才刚刚开始。与洪水模型相关的技术和方法的不断改进使这项研究超越了传统方法，因此，近年来，建模项目已经超越了受影响的地区，并认识到有必要从源头上解决洪水问题，研究其对总体洪水风险的影响。这些建模方法正在森林资源管理领域出现，并提出了减轻洪水风险和设计实施的创新方法；然而，它们相对未得到充分的审查。本文综述了目前用于识别FSA的建模方法，即单位洪水响应方法(UFR)和适应驱动方法(ADA)。我们强调了它们在适应性决策中的使用潜力，并概述了在FRM实践中采用这种方法的关键挑战。
Flooding is an important global hazard that causes an average annual loss of over 40 billion USD and affects a population of over 250 million globally. The complex process of flooding depends on spatial and temporal factors such as weather patterns, topography, and geomorphology. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact. Understanding source areas that have a major impact on flooding is, therefore, crucial for strategic flood risk management (FRM). Although flood source area (FSA) identification is not a new concept, its application is only recently being applied in flood modelling research. Continuous improvements in the technology and methodology related to flood models have enabled this research to move beyond traditional methods, such that, in recent years, modelling projects have looked beyond affected areas and recognised the need to address flooding at its source, to study its influence on overall flood risk. These modelling approaches are emerging in the field of FRM and propose innovative methodologies for flood risk mitigation and design implementation; however, they are relatively under-examined. In this paper, we present a review of the modelling approaches currently used to identify FSAs, i.e. unit flood response (UFR) and adaptation-driven approaches (ADA). We highlight their potential for use in adaptive decision making and outline the key challenges for the adoption of such approaches in FRM practises.