Clear Orbit Secure Future 2026
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Appendix B
Orbital debris projections –
assumptions and methodology
The orbital population model developed in
collaboration with the Saudi Space Agency and
LeoLabs estimates the likelihood and rate of orbital
collision using the Poisson probability distribution23
and kinetic-theory analogy,24 where orbiting objects
behave like particles in random motion.
Where:
PC: probability of collision for one target
AC: collision cross-section
VR: relative velocity
SPD: spatial density = (objects per km3)
N: number of objects
V: volume of orbital shell
This equation is applied separately to three debris-
size classes used throughout the model:
PC(HNT): 5 mm–1 cm (hazardous non-trackable)
PC(LNT): >1–10 cm (lethal non-trackable)
PC(Cat): >10 cm (catalogued/trackable)Where:
CR: Poisson-derived collision rate for the cluster
T: time interval, typically one year but in units of
seconds (3.1536E7 sec)
The ½ term in Eqn. 2 ensures that the potential
encounters within a cluster are not double-counted.
Where:
Г: number of years until the first collision event
C: confidence interval
This equation is consistent with the Poisson
probability distribution for rare events.
These calculations were applied to three identified
clusters in LEO around altitudes of 775 km, 840 km
and 1,000 km, where dense constellations of derelicts
and fragment clouds persist. The resulting probabilities
of a first major collision by c. 2032 are 8%, 6% and
29% respectively. To represent additional long-term
debris generation, the model also includes rocket-body
explosions in 2029, 2033 and 2037, consistent with
historical recurrence rates. B1 Mathematical formulation (orbital population model)
Single-target collision probability:
The basic Poisson form for the probability
that a single satellite is struck by another
object within a given interval of time is:
Eqn.1
Cluster collision rate:
To estimate the combined probability of
collisions within a dense region of derelicts
(“clusters”), the cumulative collision rate
(CR) is used:
CR =AC VR T
VolN2
2()( )
Eqn.2Time to first collision
To estimate when the first collision is expected,
the model applies a gamma distribution,25
which relates the collision rate (CR) to a
chosen confidence level:
1
CR( )Г = -ln(1 - C)
Eqn.3
And the probability that a collision occurs
within years is:
C = 1 - e-CR Г
Eqn.4PC = 1 - e-(AC VR SPD T)
Clear Orbit, Secure Future: A Call to Action on Space Debris
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