Adjust sliders to see how each parameter feeds into the composite risk score (ISA TRAQ / QTRA framework)
Canopy size, lean angle, and fall radius update live with the sliders.
Composite risk R = P_fail × P_impact × C_road (C=1 assumed).
ISA TRAQ bins: Low <5 · Moderate 5–25 · High 25–60 · Extreme >60.
ρ = 1.15 kg/m³ · σ = 40 MPa · m ≈ 150·H·D² kg (allometric).
References: GALES (Gardiner et al.), HWIND (Peltola et al.), ISA TRAQ (Dunster et al. 2017).
H/D,
which is the single strongest structural predictor — trees above H/D > 80
are broadly considered fragile. The lean angle θ and canopy radius CR
determine whether the fall radius H · cos θ actually reaches the road
distance d — this is the binary gateway to impact probability.
A = π · CR² / 2 →
drag force F = ½ · ρ · Cd · A · U² (F grows with U²).
That force multiplied by the effective lever arm heff = 0.6H
gives the wind overturning moment Mwind.
Note F ∝ U² means doubling wind speed quadruples the moment —
which is why wind speed dominates the sensitivity ranking.
Mg = m · g · sin(θ) · hCOG, even at zero wind.
The mass m is estimated from H and D via a simple allometric relation.
This is why a leaning tree at moderate wind is far more dangerous than an upright
tree in a storm.
Mbreak = (π/32) · σ · D³ is what
the tree can withstand. When Mwind + Mg exceeds
Mbreak, the safety margin turns negative — shown in red —
and failure probability shoots toward 1. DBH has a cubic effect here, which is
why a small increase in trunk diameter provides disproportionate structural strength.
R = Pfailure × Pimpact × Croad.
The sensitivity bars above show which parameter is currently moving the score most
given your current inputs — useful for prioritising what to measure most precisely
in the field.