A civil engineering concept to help Lytton resiliently mitigate fires for generations to come…
The Village of Lytton, BC had a catastrophic fire in 2021, after a wildfire started in the early evening of June 30, 2021, after suffering the highest temperature ever recorded in Canada. After percolating ideas in the back of my head for a year, last weekend, I wrote up a suggestion and sent it to the Village of Lytton and Lytton First Nation; and then afterwards to leaders in the insurance sector (Insurance Institute of Canada, CISO, Institute of Catastrophic Loss Reduction). The suggestion is to propose a way to mitigate future risk in Lytton and similarly situated communities. The concept is to use natural resources to help retard future fires. The idea is to consider the opportunities that arise when the rivers and architecture of the landscape is seen as a fire defence resource. This is an example of my practice to periodically intellectually refresh…by taking a day, here-and-there, to do something else entirely different. Exercise for the imaginative mind.
Combine Lytton’s location architecture + two ancient technologies into a system to create a local “cooling bubble”:
Water sources (currently the Thompson R. and Fraser R. (in future, perhaps aquifers and springs?)
Moisture-Sourcing subsurface “Qanats” [underground aqueducts, known as Qanats in the Middle East and as “Puquios” in the coastal deserts of southern Peru and northern Chile);
Natural wind and heat-activated Air-Cooling “Windcatchers”):
Inside Qanat aqueduct
Access well for Puquios aqueduct
How the Windcatcher works
C) Fire Protection Infrastructure Idea
Create a civil infrastructure administration mechanism called the “District Fire Cooling System (DFCS)” to emulate the familiar “District Energy System (DES)”: https://toolkit.bc.ca/tool/district-energy-systems-2/ The concept here is to use natural resources to create a sustainable DFCS fire retarding system for the village.
Inside Qanat: Naeinsun, CC BY-SA 3.0 <https://creativecommons.org/licenses/by-sa/3.0>, via Wikimedia Commons: https://commons.wikimedia.org/wiki/File:Insideqanat.JPG
Puquios in Peru: Ab5602, Public domain, via Wikimedia Commons: https://commons.wikimedia.org/wiki/File:Puquios_aqueduct_Nazca_Peru.JPG
Windcatcher Diagram: Fred the Oyster, CC BY-SA 4.0 <https://creativecommons.org/licenses/by-sa/4.0>, via Wikimedia Commons: https://commons.wikimedia.org/wiki/File:Malqaf.svg
The other bit of fun for 2014 was to finish a thought experiment (the longest thus far: ~1984-2014); coming to a conclusion about the shape of the shape of the universe, and how this could be used to imagine the next contractionary cycle; and perhaps, in time, point the way for far-imagined journeys.
The conclusion? The universe is expanding inwards. Perhaps this might be named “the Mobius Universe”? I made a testing puzzle about this: [link] and there’s a new note here [link].**
The strange thing about constructions like this is that you must look away to observe it. We talk of “the mind’s eye” – This is the imagination’s eye. This is a way to solve many sorts of hard problems. Find imaginative-mind-play time. What you are tussling with, put aside. Accomplish tasks entirely different. Find the focus by looking away. Come back refreshed to tackle it again. Every refresh invites a new perspective. Every leaving gets you farther.
Recharge recharges clarity.
** Original 05Oct2021 version (without “Mobius Universe” title)
Another term for Markov Blankets might be “Liquid Membraning”. I use Liquid Membraning in problem-solving; the cognitive process appears to be akin to stitching up data-points into Markov Blankets. “Cloud-Boxing” is my other term. The suggestion here is to shift away from the rigid/fixed/ossifying nature of the term “blankets” to a flow-state framework that evokes particulates and osmoticity? Could the term instead be Markov “fluidics,” “flow-states”, “nets”, “clouds”, and/or “meshes”?
“Liquid Membraning”* is the deep enveloping that evanescently correlates datasets during the gloaming phase of a sort; stitching up cloud-points out of constellations of clues; out of a search to find the deep root cause of a challenge/problem/issue/threat [ie. to go back to the deep root first principle]. This produces a key that when turned unlocks the entire problem. Computationally you could call it super-swarming. It has been suggested that creatives approach a task ‘more intuitively’, not analytically. I disagree; these skills could be characterized as hyperfast analytical tasking. Think of super-swarming as standing in a cloud. Where the cloud is a set of data points. Among these are the discrete clues that I notice. Among these are the patterns and there a route of questions to find, to follow, down to the root clue/key that unlocks everything. Another way to look at this is to say I see all the trees in the forest, and then notice the clue paths and patterns that lead me back to the one different tree.