@wim_v12e I just saw a newspaper article [1, in French] estimating the impact of a short conversation (undefined but probably 10-20 replies) with ChatGPT to be around 270 gCO2e, leading to an estimate of 1 tCO2e per year if the person has 10 such conversations with chatGPT every day.
Based on the energy consumption from your article [2] and typical US emission factors, that seems very high, did things change in the meantime?
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Hi #Fedizens, I was just asked whether there are specific #hashtags that people know and follow for #SciComm in specific languages.
I must say I don't know... is this a thing (at least in some languages)?
If not, well: there is interest in making it a thing, so now you know and can propose ideas 😉
[#]askFedi #fediQuestion #MastoQuestion #AskMastodon #science
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Attending the #RichEarthSummit at the moment, on #nutrient recovery from human #excreta and #SustainableSanitation.
https://www.richearthsummit.org
Yesterday, people discussed how this work matters to #environmentalJustice (notably excretory and sanitation justice, https://blogfromthebelly.com/2024/03/07/dealing-with-our-crap-who-does-who-doesnt-and-why-a-talk-on-excretory-justice-and-the-toilet).
These new sanitation methods and valorisation of excreta in agriculture can really make a difference for the 17 sustainable development goals (#SGDs).
Today is about current implementations all over the world.
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Because there cannot be any continuity of practices between their environmental behaviors at home and in such a building, appropriation of these buildings and ecological practices becomes very hard.
Sounds like a classic "engineer thinks they know best" issue...
3/3
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It becomes very difficult for people to appropriate the building and that have to resort to various tricks to arrive at situations that are satisfactory for them (tricking sensors to switch the light off, block windows, etc), which is not always possible.
This distances people from the technical part of the building and the environmental considerations that were taken into account.
2/N
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[#]ECOPOSS2024
Laure Dobigny discusses some of the issues of smart buildings from a socio-environmental perspective.
For her, the problem is that, most of the time, the building is designed with the imaginary that the ideal "user" of the building is one that is invisible and has no agency on the building.
The building becomes a kind of autonomous organism that is parasited by users.
1/N
[#]smartBuilding #building #ecology
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[#]ECOPOSS2024
Jessica Zaphiropoulo is talking about collective self-consumption projects.
I did not know about that but it was apparently introduced in 2017 in France. It's a legal contract between individual suppliers of #renewable #electricity and consumers within a 2 to 20 km radius where the electricity is transmitted through low-voltage networks.
This encourages customers to shift their consumption time but it's unclear whether it leads to reducing it.
https://www.edf.fr/en/the-edf-group/supporting-our-clients-on-a-daily-basis/the-solar-self-consumption/collective-self-consumption-producing-and-consuming-renewable-energy-locally
[#]energy
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I think I'll stop here for this thread.
Note that if you want to read more about resources like nutrients and biogeochemical flows, you can check these previous threads of mine:
On nutrient flows in general: https://scicomm.xyz/@tfardet/109370756100378256
On nitrogen flows in (French) sanitation systems: https://scicomm.xyz/@tfardet/111703771832787552
7/7 End
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Anyway, the numbers for France can also show that what we extract most from the environment is water, as France extracts roughly 10 Gt a year to drink, irrigate or use in the industry.
With the water used to cool power plants and fill canals, we're moving around 30 Gt of water.
So just looking at France, that's already as much as all the matter we add each year to the world's technosphere!
Cf. https://scicomm.xyz/@tfardet/112342604037828708
6/N
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I said I'd continue this thread ⬆️ with more data about biomass and water, but it turns out these issues are really region-specific and I don't see how to make it into a thread, so maybe I'll just write about it on my website and link it here one day.
Just to give you an idea of how much it varies, here are two neighbouring regions of France and their water use (ignoring the use to cool power plants).
Side note for France: flushes use about half as much water as industry or agriculture.
5/N
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Hi there #mapstodon, may I request some of your #GIS knowledge once more?
I'm trying to figure out whether there is a way to filter a #parquet file via @geopandas read_parquet by coarse location.
As far as I can tell, creating a geohash column beforehand and filtering by geohash seems to be the only way to do something like that; did I miss something?
[#]python #geopandas
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Taking a break for now but I'll resume the thread some time next week to add visualization about water and biomass 🙂
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But most of all, I'm interested in the other resources that people seldom think about: land, water, and biomass.
Land is a vital resource and we're using half of it for agriculture, with 80% to raise or feed cattle
This leaves little space for wild fauna (the bit that remains, anyways, since most mammal mass is now cattle).
https://ourworldindata.org/global-land-for-agriculture
And forest are not all wild areas: less than half are protected.
In France, most are fragmented, exploited and almost mono-species.
4/N
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Of course, there are also fossil fuels!
I won't spend much time on that but it's always good to see how much one uses if they were made into big cubes.
The numbers are for US citizens, so it's probably less for most Europeans, and a lot less in other parts of the world.
For French people it's 4 times less gas (60% of the cube's size), twice less fuel (80% of the cube size), and more than 8 times less coal (so a cube half the size), but it'd still be impressive if you ask me 😉
3/N
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I guess many may have seen these two, but I had to show them: it's been a few of years since we estimate the mass of human-made stuff since 1900 has exceeded the global biomass.
That's right: the weight of all the things we made is heavier than the dry mass of all living things on the planet (including viruses).
And at the speed we're increasing it, we'll exceed the wet mass (roughly 2.5 times this) in roughly two decades; less if we keep accelerating.
Paper: https://www.nature.com/articles/s41586-020-3010-5
2/N
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I'm preparing a talk on resources for French civil servants (now they will have to attend one presentation on #climate, one on #biodiversity, and one on resources as part of a mandatory continuing education) and I thought I would share the images I'll be using here, as I find some of them are quite nice.
So see below for some impressive visualizations on our #resource #consumption.
⬇️
1/N
[#]dataviz #environment #resources #infrastructure #fossilFuels #metals #landUse #ecology #cattle
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Just stumbled on this article : "Sex contextualism in laboratory research"
https://www.cell.com/cell/fulltext/S0092-8674(24)00174-0
This sounds very promising and I look forward to seeing more of it!
It also got me thinking again about my databases, where I use binary #sex categories to classify #nutrient excretion by different groups, and whether I could do better (given that I basically just gather data from existing literature).
Ideas welcome!
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just adding as a reply that I ended up using gdal >= 3.8 with ogr2ogr -f parquet new.parquet old.osm.pbf <layer> and it works great (thanks @jeremiahpslewis)
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Hi #mapstodon folks, quick question : do you have an easy way to get #OSM data into #parquet format?
I've been looking into #Python tools to deal with #pbf files and they have been getting better, but for filtering data real fast, it's just not comparable to parquet, so I'd like to also move my #OpenStreetMap data to that format.
Unfortunately, all I've seen so far is https://github.com/igor-suhorukov/openstreetmap_h3 and I'm not a fan of java...
If that's all there is, I'll use it, but if you know something else... 🙏
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Nice update to Neil Kaye's chart of #earth's monthly global temperatures since 1940.
https://www.esa.int/ESA_Multimedia/Images/2023/12/Global_monthly_temperature_from_1940_to_2023
Hard to not see the trend, and 2023 was really off the charts.
Best time to act was 50 years ago, next best time is now; let's push for a just and fair transition so everyone can get decent living conditions now and in the future!
Let's push for #fossilFuels phase out, reusable/repairable goods, let's eat fewer animal-based products.
[#]dataviz #globalWarming #climate #sustainability
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