TREEFALL Model.pdf

TREEFALL is a non-subjective, quantifiable, and repeatable model that assesses the risk of tree failure to critical infrastructure on a per-tree basis. It combines wind calculations, tree data, and infrastructure characteristics to predict the risk of wind-throw failure and potential damage to infrastructure. The model uses a 3D collision detection algorithm to determine the likelihood of a tree hitting or blocking infrastructure if it were to fall. TREEFALL provides a web interface for users to explore datasets, load historical or predicted weather events, and simulate hypothetical scenarios. The model colors trees and infrastructure according to risk levels, with red indicating high risk, orange indicating moderate risk, and green indicating low risk. The goal of TREEFALL is to support decision-makers in prioritizing tree maintenance and removal, reducing the risk of tree failure and associated costs. Key features of TREEFALL include:

Wind calculations using Met Office data and digital terrain maps
Tree data from the National Tree Map dataset
Infrastructure characteristics, including spatial location and type
3D collision detection algorithm to assess potential damage to infrastructure
Web interface for user-friendly exploration and analysis of data
Color-coded risk assessment for trees and infrastructure

TREEFALL aims to aid decision-makers in managing tree risk near critical infrastructure, such as power lines, roads, and railways, by providing a quantitative and repeatable assessment of tree failure risk.