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首页> 外文期刊>Computers,environment and urban systems >Tree risk evaluation environment for failure and limb loss (TREEFALL): An integrated model for quantifying the risk of tree failure from local to regional scales
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Tree risk evaluation environment for failure and limb loss (TREEFALL): An integrated model for quantifying the risk of tree failure from local to regional scales

机译:树木衰竭和肢体丧失的树木风险评估环境(TREEFALL):用于量化从局部到区域尺度的树木衰竭风险的集成模型

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摘要

Trees provide a multitude of ecosystem services but are vulnerable to failure and limb loss under high winds. This is a natural process which initiates regeneration in forests but tree failures close to critical infrastructure networks lead to disruption to services and financial loss. Hence, network operators tend to apply the precautionary principle and remove all trees close to such infrastructure which leads to unnecessary loss of healthy trees, therefore, a more focussed approach is required. We introduce TREEFALL: an objective and scalable framework to assess tree failure risk. It uses novel approaches to quantify tree geometry, downscale wind parameters, simulate shielding by neighbouring trees and calculate wind-induced failure risk based on meteorological data for previous storms, scenarios or forecasts. Consequently, TREEFALL can identify individual trees which pose the greatest threat to infrastructure networks which can be targeted for field survey and management interventions where necessary. The model has broad potential for application to many different types of infrastructure networks and across the forest and environmental sciences.
机译:树木提供了多种生态系统服务,但在强风下很容易发生破坏和肢体脱落。这是一个自然过程,可以在森林中启动再生,但是接近关键基础设施网络的树木故障会导致服务中断和财务损失。因此,网络运营商倾向于采用预防原则,并移走靠近该基础设施的所有树木,这导致健康树木的不必要损失,因此,需要一种更加集中的方法。我们介绍了TREEFALL:一种客观且可扩展的框架,用于评估树故障风险。它使用新颖的方法来量化树木的几何形状,降低风速参数,模拟相邻树木的遮挡以及根据先前的暴风雨,情景或预报的气象数据计算由风引起的故障风险。因此,TREEFALL可以识别对基础设施网络构成最大威胁的单个树木,这些树木可以在必要时用于野外调查和管理干预。该模型具有广泛的潜力,可应用于许多不同类型的基础设施网络以及整个森林和环境科学领域。

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