Development and application of an algorithmic-parametric tool to assess the contribution of urban forestry to mitigate floods

Iago Longue Martins, Ana Paula Lyra
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Abstract

As an impact of climate change, water-related disasters, such as floods, are becoming more frequent. In this context, there is an increasing demand to improve the resiliency of urban settlements, using multiple approaches and techniques. This paper assesses one of those techniques, by developing an algorithmic-parametric tool to quantify how urban forestry reduces flood impacts from rainfall runoff. The assessment was comprised by three main methodological steps: (#1) observing the scientific literature on “the sponge effect” observed in green infrastructures; (#2) developing an algorithmic-parametric tool using the Grasshopper application to estimate rainfall runoff, considering the influence of urban forestry design factors; and (#3) performing digital simulations with this parametric tool using a Rhinoceros-Grasshopper interface. Results indicate this method is effective in assessing the efficacy of green interventions to mitigate urban flood damage and also in foreseeing how different design strategies impact urban hydrological dynamics.
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基于算法参数的城市林业抗洪贡献评估工具的开发与应用
由于气候变化的影响,与水有关的灾害,如洪水,变得越来越频繁。在此背景下,越来越需要使用多种方法和技术来提高城市住区的弹性。本文通过开发一种算法参数工具来量化城市林业如何减少降雨径流对洪水的影响,从而评估了其中一种技术。评估包括三个主要的方法步骤:(1)观察在绿色基础设施中观察到的“海绵效应”的科学文献;(#2)考虑城市林业设计因素的影响,利用Grasshopper应用程序开发一种算法参数化工具来估计降雨径流;以及(#3)使用rhino - grasshopper接口使用此参数化工具进行数字模拟。结果表明,该方法在评估绿色干预措施减轻城市洪水破坏的效果以及预测不同设计策略对城市水文动力学的影响方面是有效的。
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CiteScore
3.20
自引率
17.60%
发文量
44
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