[G]lobal Decline In Endorheic Basin Water Storages
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https://doi.org/10.1038/s41561-018-0265-7 <-- shared paper
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https://en.wikipedia.org/wiki/Endorheic_basin <-- shared Wikipedia page
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“Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”
#water #hydrology #hydrography #global #waterresources #waterstorage #Endorheic #Basin #watersecurity #arid #semiarid #rainfall #precipitation #spatialanalysis #spatiotemporal #globalwarming #climatechange #humanimpacts #anthropogenic #regional #remotesensing #GIS #spatial #mapping #earthobservation #surfacewater #groundwater #soilmoisture #exorheic #watermanagement #hydrosphere #waterstress #SLR #sealevelrise #monitoring #waterbudgets
Decoupling Of Surface Water Storage From Precipitation In Global Drylands Due To Anthropogenic Activity
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https://doi.org/10.1038/s44221-024-00367-7 <-- shared paper
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“The availability of surface water in global drylands is essential for both human society and ecosystems. However, the long-term drivers of change in surface water storage, particularly those related to anthropogenic activities, remain unclear. Here [they] use[d] multi-mission remote sensing data to construct monthly time series of water storage changes from 1985 to 2020 for 105,400 lakes and reservoirs in global drylands. An increase of 2.20 km³ per year in surface water storage is found primarily due to the construction of new reservoirs. For lakes and old reservoirs (constructed before 1983), conversely, the trend in storage is minor when aggregated globally, but they dominate surface water storage trends in 91% of individual global dryland basins. Further analysis reveals that long-term storage changes in these water bodies are primarily linked to anthropogenic factors - including human-induced warming and water-management practices - rather than to precipitation changes, as previously thought. These findings reveal a decoupling of surface water storage from precipitation in global drylands, raising concerns about societal and ecosystem sustainability…”
#water #hydrology #hydrography #waterstorage #waterresources #surfacewater #global #drylands #precipitation #rainfall #watersecurity #ecosystems #habitat #publichealth #anthropogenic #GIS #spatial #mapping #remotesensing #earthobservation #spatiotemporal #spatialanalysis #monitoring #geostatistics #engineering #reservoirs #infrastructure #lakes #waterbodies #globalwarming #climatechange #sustainability #planning #baseline

The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints

#AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

Date Published 3 Jun 2026

UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).

"This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health (#UNU-#INWEH) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.

"The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.

"Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."

Download PDF:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints

#AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
#DatacenterMoratoriums

The Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints

AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

United Nations University

Ooooh. So our town is hosting a public meeting regarding #OpenSpaces! YES!!!

"An #OpenSpacePlan is a strategic document that identifies important natural and recreational lands in our Town and sets priorities for protecting them over time. #OpenSpace can includes #parks, #trails, #forests, #wetlands, #AgriculturalLands, #WaterResources and #HabitatCorridors. The plan will guide how the town make decisions about managing lands that support #EnvironmentalHealth, #WildlifeHabitat, #ScenicBeauty, #WorkingLandscapes, and #OutdoorRecreation."

#Maine #MainePol #LocalGovernment #WildlifeCorridors #WorkingFarms #SmartGrowth #WaterIsLife #SpendTimeInNature #SolarPunkSunday #LocalPol

As a famous comedy TV star in decades gone by was often heard to say: ‘Surprise, surprise, surprise.’ (I did watch Gomer Pyle but I wasn’t a fan, if that makes sense - but I digress)

“Report warns AI data centre boom threatens Australia's energy transition.” Who missed this? It has been the talk everywhere and US-side is now dealing with their own #DataCentre issues.

If it wasn’t enough for the #GenAISlop peddlers to hoover up the internet without so much as a thank you to creators of the content, digitising (mostly) library books (Libraries close and #TechBros give you access to the books — For A Fee) and flooding the digital world with regurgitated and confabulated information. These same #LibertarianTechHeads now want our water and energy to run their insane harware platforms. For what? More #Chatbots? More #CrapCoding. More #FakeImages? More #FascistPropaganda?

Read more:
https://www.abc.net.au/news/2026-05-27/ai-data-centres-pressuring-energy-transition-greenpeace-says/106722390

#NEM #Greenpeace #AusPol #TransitionToRenewables #ClimateChange #WaterResources #EnergyResources #GenAISlop #Oligopoly #TaxTheRich #NoBillionaires

'None of this was forecast': Energy demand from AI data centres soars

A new report concludes the AI-fuelled surge of power-hungry data centres across Australia is jeopardising the country's energy transition.

Unravelling Global Patterns Of Drought-Flood Alternations
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https://doi.org/10.1016/j.jhydrol.2026.135718 <-- shared paper
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H/T @Gebremedhin Haile
“This study contributes to ongoing efforts to better understand hydrological processes and environmental change, with important implications for water resources management, climate adaptation, and sustainable decision-making…”
#drought #flood #alternation #extremeweather #water #hydrology #waterresources #watersecurity #planning #precipitation #rainfall #drought #flooding #climate #weather #spatiotemporal #quantative #climateextremes #change #spatialanalysis #environment #sustainability #LDFAI #globe #global #spatialhotspots #hydroclimate #extremes #warning #prediction #risk #hazard #riskmanagement #adaptation #region #worldwide #datareview #DTF #FTD #temporal #historicreview #weatherwhiplash