I think the #KesslerSyndrome is too often presented as a tipping point or a threshold we have yet to cross, so I wanted to use some aspects of my paper at the 8th European Conference on #SpaceDebris to explain why I think that is wrong [1/n]
The starting point of my thinking was to look at how natural populations grow. The simple exponential model is a standard model that describes the growth of a single population [2/n]
If we know the initial number of individuals in the population N(0) then this model allows us to estimate the number of individuals at any future time t. Here, r is the intrinsic rate of natural increase, which depends on the birth rate, b, and death rate, d [3/n]
If the birth rate is greater than the death rate then r>0 and the population is growing. Conversely, if the birth rate is less than the death rate then r<0 and the population is declining [4/n]
A population that increases with a rate proportional to its current size will grow exponentially. This means that as the population increases so does the rate at which it grows [5/n]
We can write the exponential equation as a differential equation, where the rate of change of N is proportional to r [6/n]
However, observations of natural populations have shown that as the population density increases, the intrinsic growth rate tends to decrease (e.g. in a population of bacterium) possibly due to an impact on the available resources [7/n]
To capture this effect, we can modify our differential equation [8/n]
If we assume f(N) is linear (which is what is observed) then we can write f(N) = a - cN and the differential equation becomes: [9/n]
If we let a = r and c = r/K then via simple algebra we arrive at the logistic growth equation, which is another standard model describing the growth of a single population [10/n]
Here K is the carrying capacity (a term that is becoming familiar in the context of #SpaceDebris & #SpaceSustainability). Initially, when there are relatively few individuals, the population grows exponentially. As N continues to increase, the rate of change decreases [11/n]
N = K is a dynamic equilibrium. There are still births and deaths but the number of individuals in the population remains constant [12/n]
When we consider the #SpaceDebris population we can again start with the simple exponential model, replacing births with "breakups" and deaths with "decays" (we neglect launches for now). So, as before our initial model is [13/n]
Similar to our natural population, changing #SpaceDebris population density will also affect the intrinsic growth rate [14/n]
However, in this case an increase in density causes an increase in the growth rate, not a decline, and assuming this relationship is linear we can write f(N) = a + cN. So our differential equation becomes [15/n]
Although this might seem to be just a minor change compared with the corresponding logistic growth model, the effects are substantial. Instead of the characteristic S-shaped growth curve we have unconstrained growth for r>0 (dashed line shows classical exponential growth) [16/n]
It is still possible for the population to decline if the decay rate is sufficiently higher than the breakup rate (dashed line shows the population decay described by the simple exponential model for an equivalent value of r) [17/n]
But in any regime where the decay rate is small (or zero) the model indicates the population will grow in an unconstrained manner due to breakups (i.e. collisions) and the rate of growth will continue to increase non-linearly. [18/n]
What does this mean for a #KesslerSyndrome "tipping point" or "threshold"? Well, in terms of the number of individuals in the #SpaceDebris population, there is no meaningful threshold value for N in regimes where the decay rate is negligible or less than the breakup rate [19/n]
Adding just two objects to the environment where their orbits can intersect and where the effects of decay are negligible can lead to population increase (in reality, this cannot be unlimited because the individuals produced by breakups will get ever-smaller in size) [20/n]
So, IMHO, the #KesslerSyndrome doesn't describe some far-off tipping point. It describes the fundamental nature of the growth of the #SpaceDebris population in regions without any effective sinks (e.g. atmospheric drag) or where debris sources dominate [21/n]
Given our ongoing space activity, this description is true for pretty much all of near-Earth space except, perhaps, the region below 600 km altitude where the effects of atmospheric drag are important [22/n]
But as @mattkennybrown showed at the #SpaceDebris conference this week, anthropogenic CO2 emissions are having increasingly detrimental effects on this vital debris sink. Atmospheric density in this region has already declined by 20-25% since the year 2000 [23/n]
If our CO2 emissions continue then by the end of this century atmospheric density at 400 km could be 20% of what it was in the year 2000. The effects on #SpaceDebris will be significant [24/n]
This has been a long thread (thanks for reading to here!) & I hope it has shown the value of simple models to understand and explain concepts like the #KesslerSyndrome that are often misrepresented or misunderstood. [25/25 & the end]

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More from @ProfHughLewis

9 Apr
I am seeing some ill-informed takes on today's near-miss in orbit so would like to offer some trajectory corrections if I may. Firstly, the chance that a single collision would trigger a catastrophic 'chain reaction' that would sweep through LEO is tiny.
For every close pass involving catalogued objects in orbit we can estimate a collision probability, or Pc. The Pc is between 0 and 1. If it is 1 we can say that a collision is certain. If it is 0 then we can say that a miss is certain.
The event today may have had a Pc between 0.02 & 0.2. In any case, the Pc was relatively small (compared to a Pc of 1) so a miss was the most likely outcome. For a chain reaction to occur a long & sustained sequence of collisions would need to take place.
Read 16 tweets
7 Apr
All of my work interactions are virtual at the moment, as I am sure many of yours are too. In this format I think it is even more difficult to be aware of an #InvisibleIllness or #InvisibleDisability so for #MEAwarenessHour I'd like to ask you to keep this in mind.
It will be harder for you to see if someone is facing challenges so it's perhaps even more important than ever to be kind & considerate in all of your online work interactions.
It's easy to be dismissive, to compare someone else's situation to your own, or to persuade yourself that perhaps your colleague's slow progess is because of a lack of effort. It's important to have empathy & not to judge.
Read 7 tweets
7 Apr
It could be argued that many of the approaches to ensure sustainability identified in this (otherwise excellent infographic) are actually focused on ensuring spaceflight safety & IMHO there are some fundamental omissions, most importantly to do with how we think about the future
It's also not really correct to place large constellations into the category of trends that pose challenges to long-term sustainability (even though most might disagree with me). If we do so, then surely we must place all past, present & future space systems into this category.
I'd also argue that diversity of space actors is a necessary feature of space sustainability, as defined by the UN: it is "the ability to maintain the conduct of space activities indefinitely into the future" realising the objectives of "equitable access to the benefits"
Read 6 tweets
2 Jan
In the last #SOCRATES report of 2020 #Starlink satellites accounted for 29.1% (1-in-3.4) of all 44,530 close approaches < 5 km recorded for the first week of January 2021 with a total Pc of 1.7% #SpaceDebris
Ignoring Starlink-on-Starlink conjunctions the constellation satellites accounted for 9.8% of all close approaches < 5 km.
The yearly rates based on this report are 675,451 close approaches < 5 km involving #Starlink (227,655 ignoring Starlink-on-Starlink conjunctions)
Read 9 tweets
2 Oct 20
It's time for my (seemingly monthly) look at conjunctions involving #Starlink satellites, as predicted by celestrak.com/SOCRATES/. In this month's update I have corrected an error in the conjunction rates for June, July & August (I missed some conjunctions) (1/n) #SpaceSafety
In the SOCRATES report from 30 September 2020, with just over 680 #Starlink satellites in orbit (v0.9 & v1.0), there were 6957 conjunctions < 5 km involving at least one #Starlink satellite (17.7% of all conjunctions in the SOCRATES report) for the 7 days ahead) (2/n)
The number of conjunctions < 5 km involving a #Starlink satellite & something else (i.e. not Starlink) over the 7-day period was 2828 (7.2% of all conjunctions in the SOCRATES report) (3/n)
Read 7 tweets
17 Sep 20
For those asking, this visualisation is made up exclusively of a single Excel chart (2D scatter plot) that contains multiple series. Some of the data are plotted as lines without markers, some are plotted just with markers. Spin buttons provide real-time updates. Image
I convert the Keplerian elements for the orbit to Cartesian coordinates and then project the 3D position onto a 2D plane (that is plotted). I do this for true anomaly values between 0 and 360 deg. to get the orbit.
The "Earth" is drawn in the same way. In fact, the lines of longitude are essentially circular, polar "orbits" with radius equal to the Earth radius. Lines of latitude are circular, equatorial orbits that are translated and re-sized.
Read 8 tweets

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