Research & Developments is a blog for brief updates that provide context for the flurry of news that impacts science and scientists today.
In the contiguous United States, crop irrigation, municipal water supplies, and thermoelectric power generation use more than 224 billion gallons of fresh water every day. Conducting water research or making decisions about water use, until now, often required referencing datasets across various agencies. The U.S. Geological Survey (USGS) National
Research & Developments is a blog for brief updates that provide context for the flurry of news that impacts science and scientists today.
In the contiguous United States, crop irrigation, municipal water supplies, and thermoelectric power generation use more than 224 billion gallons of fresh water every day. Conducting water research or making decisions about water use, until now, often required referencing datasets across various agencies. The U.S. Geological Survey (USGS) National Water Availability Assessment Data Companion (NWDC), announced this week, aims to streamline this process. In part, the tool is designed to help decisionmakers better understand the balance between how high demand and limited supply affect water availability in their communities.
“While the United States has abundant water nationally, regional imbalances between supply and demand may create water challenges affecting millions of Americans,” said lead scientist Shirley Leung in a USGSpress release. “What once required significant resources and time can now be done in minutes, giving communities of all sizes the same foundation for water planning.”
The lower 48 states are home to about 80,000 sub-watersheds, from those in the arid southwest to the Great Lakes Basin, where about 84% of North America’s surface fresh water is located. According to the USGS, the NWDC is the first tool that integrates information about water availability in individual watersheds at a national scale.
The tool is designed to complement Water Data for the Nation (WDFN), another USGS product that consolidates observational data from the agency’s thousands of local monitoring stations gathering data on streams, lakes, reservoirs, precipitation, water quality, and groundwater. The new tool uses modeling to fill in spatial and temporal gaps between the observations made at these stations.
Water managers, researchers, agricultural experts, and others can use the NWDC to compare watershed conditions, identify seasonal patterns in water use, or to create data visualizations of statewide water use, for example. Though the tool currently covers only the contiguous United States, it will soon be extended to Alaska, Hawaii, and Puerto Rico, according to the USGS.
David Tarboton, a professor of civil engineering at the Utah Water Research Laboratory, said he was “intrigued” by the new tool, and is interested in examining the data its model produces.
While Tarboton was disappointed that the tool’s most recent available data are from 2020, “having a sort of integrated, wall-to-wall dataset that’s consistently produced is very valuable,” he said. He works, in part, in the areas of hydroinformatics and data sharing, and noted that the modern methods the agency is using to share the data could be useful in developing automated tools.
These updates are made possible through information from the scientific community. Do you have a story about science or scientists? Send us a tip at eos@agu.org.
Aynsley Kretschmar, a soon-to-be graduate of the M.A. in Climate and Society program, reflects on the skills she’s gained from her time at Columbia, as well as what she’s most excited about for her future.
Aynsley Kretschmar, a soon-to-be graduate of the M.A. in Climate and Society program, reflects on the skills she’s gained from her time at Columbia, as well as what she’s most excited about for her future.
The spread of antibiotic resistance, a growing threat to global health that causes millions of deaths annually, is typically blamed on the overuse of drugs in hospitals and in the food industry. However, a new study published in Nature Microbiology suggests that normal geological processes could be accelerating the development of new resistances.
Soil microorganisms naturally produce antibiotics as a form of chemical warfare to compete with each other. When soils dry out, these natural compo
The spread of antibiotic resistance, a growing threat to global health that causes millions of deaths annually, is typically blamed on the overuse of drugs in hospitals and in the food industry. However, a new study published in Nature Microbiology suggests that normal geological processes could be accelerating the development of new resistances.
Soil microorganisms naturally produce antibiotics as a form of chemical warfare to compete with each other. When soils dry out, these natural compounds become more concentrated because there is less water to dilute them. Like a dosage increase, this concentration can create a harsher environment, killing sensitive microbes and sparing those with the capacity to resist. This phenomenon, in turn, is an evolutive driver that favors the appearance of new and more effective resistance genes.
“If you have more antibiotics in your environment, only the organisms that can withstand it…can resist it.”
To test whether this mechanism is having real genetic effects, Xiaoyu Shan, a microbial ecologist and postdoctoral researcher at the California Institute of Technology (Caltech), and colleagues looked at soil samples under controlled conditions as the samples transitioned from a wet state to a desiccated one. They found that as the soil dried, the presence of genes related to antibiotic production and resistance spiked, suggesting that drought leads to a rapid escalation in the subterranean biological arms race. Importantly, they did not look for pathogenic bacteria specifically, only for resistance genes, which can be present in a variety of microbes, whether those microbes are pathogenic or not.
“Drought leads to this elevation of antibiotic producers and bacteria that are resistant,” said team member Dianne Newman, a professor of biology and geobiology also at Caltech. “It’s a pretty simple idea: If you have more antibiotics in your environment, only the organisms that can withstand it…can resist it.”
Alternative Explanations
However, there could be other potential explanations for the observed increase in antibiotic-producing and antibiotic resistance genes, according to Enrique Monte, a microbiologist at the Universidad de Salamanca in Spain who wasn’t involved with the new study. For instance, arid soils are naturally more diverse than humid soils, making it common to find a more diverse gene pool in the ground, Monte said. In addition, the mere presence of antibiotic genes might not result in an actual release to the environment, or a release could happen in dosages that are too small to cause noticeable effects. “There are antibiotics that are volatile; they escape into the air, so they never reach a therapeutic concentration to kill others,” Monte said.
The authors, however, took some precautions to show that the increase in antibiotic resistance genes was actually a biological response to environmental stress. For instance, they also tracked other genes that should remain unaffected or decline under desiccation. As expected, genes that are needed for basic survival remained stable, while genes responsible for bacterial movement declined in dry soil, where mobility is restricted. Even some species that were not favored by desiccation saw an increase in resistance-related genes, “which is even stronger evidence,” Shan said.
Geographic Limitations
As the researchers combed through publicly available metagenomic data libraries, they had to select collections with strict control of all variables and in which the only changing factor was water content. That limited the analysis to five locations: two grasslands and a sorghum field in California; a forest in Valais, Switzerland; and a wetland in Nanchang, China.
The scarcity of locations might limit how extrapolable these results are, said Fiona Walsh, a microbiologist at Maynooth University in Ireland who was not involved with the work. “There are thousands of high-quality metagenomes available online with excellent metadata. I would really like to see a comparison where they apply their analysis to a broader map of global metagenomic data to see if they reach the same conclusions,” she said.
From the Soil to the Hospital
Drier regions consistently showed a higher number of resistant bacteria cases in hospitals, even after adjusting for confounding factors such as local income.
The study also suggests that dry soils might be a hidden driver of clinical cases of antibiotic resistance worldwide. The authors combined hospital data on the number of cases of resistant infections from 116 countries with the local aridity index, which measures temperature and precipitation, for each location. They found a strong correlation: Drier regions consistently showed a higher number of resistant bacteria cases in hospitals, even after adjusting for confounding factors such as local income.
However, the authors admitted that this is only a correlation effect and doesn’t prove causation. “It motivates follow-up research to see how environmental concentration weighs against human overuse and poor stewardship,” Newman said.
Even this correlation could be a stretch, according to microbiologist Sara Soto, head of the Global Viral and Bacterial Infections Programme at the Instituto de Salud Global de Barcelona. At the end of the day, she said, the authors have soil data from only five locations in three countries, and they are not tracking the specific bacterial varieties that make people sick, only resistance genes.
For the thesis to be solid, Soto said, the ideal approach would have been to contrast hospital strains from a specific area with soil data from that same region during the same drought episode. “Making such a vast inference—that what happens in the soil of one location affects what happens in a hospital elsewhere—is a big leap,” she said.
The authors, however, point out that resistance genes from soils can eventually make their way into human pathogens. Microbes have the capacity to share genetic material across species—a process known as horizontal gene transfer. In their analysis, the team identified specific resistance sequences that appeared to have been transferred between soil bacteria relatively recently, perhaps within the past decade. How they are reaching hospitals remains a matter for a future study, they said.
As droughts increase in numerous regions in the face of climate change, this selective pressure within soil ecosystems is expected to intensify. Though these findings do not show that drought directly puts drug-resistant pathogens in hospitals, they still suggest that a drying climate could set the scene for an increase in antibiotic resistance, the researchers report.
Citation: Barbuzano, J. (2026), Antibiotic resistance might get a boost from droughts, Eos, 107, https://doi.org/10.1029/2026EO260132. Published on 29 April 2026.
Fashion is a major sustainability challenge in the global economy, and for most of the last decade, it has faced little regulation. That is starting to change. In the past eighteen months, California passed the first U.S. law for extended producer responsibility (EPR) for textiles, France approved strict anti-fast-fashion laws, and the EU set a 2027 deadline for all member states to have a textile EPR program.
Every second, a garbage truck’s worth of clothing ends up in a landfill or is burned s
Fashion is a major sustainability challenge in the global economy, and for most of the last decade, it has faced little regulation. That is starting to change. In the past eighteen months, California passed the first U.S. law for extended producer responsibility (EPR) for textiles, France approved strict anti-fast-fashion laws, and the EU set a 2027 deadline for all member states to have a textile EPR program.
Every second, a garbage truck’s worth of clothing ends up in a landfill or is burned somewhere in the world. This isn’t just a figure of speech. The fashion industry produces about 92 million metric tons of waste each year, and if nothing changes, that number could reach 148 million metric tons by 2030.
Meanwhile, the resale market is growing about three times faster than traditional retail. The industry still has a long way to go, but for the first time, there are real systems in place to hold it accountable.
The Scale of the Problem
How big is fashion’s impact? It’s large, debated, and still growing. The fashion industry is responsible for 8 to 10 percent of global greenhouse gas emissions, according to the UN Environment Programme. While experts debate the exact numbers, everyone agrees the problem is getting worse.
The Apparel Impact Institute, a nonprofit supported by brands like H&M, Target, PVH, and Lululemon, reported that apparel sector emissions rose by 7.5 percent in 2023. This was the first yearly increase since 2019, and the group linked it to overproduction, ultra-fast fashion, and more use of virgin polyester, which now accounts for 57 percent of global fiber production.
No matter which numbers you believe, the trend is troubling. Each year, 80 to 100 billion new garments are made. Clothing production has doubled since 2000, and people now wear each item 36 percent fewer times before throwing it away. Synthetic fibers, mostly polyester made from fossil fuels, make up about 57 percent of global fiber production and are expected to increase.
The amount of water used in fashion is huge, even by industrial standards. Making one cotton T-shirt takes about 2,700 liters of water, which could provide drinking water for one person for 900 days. Producing a pair of jeans uses about 7,500 liters. Textile dyeing and treatment is the world’s second-largest source of water pollution, causing about 20 percent of industrial water pollution. ic clothing also sheds microplastics every time it’s washed. The IUCN has estimated that about 35 percent of primary microplastics in the ocean originate from synthetic textiles like polyester, nylon, and acrylic, though the total volume keeps rising as synthetic usage increases.
After technology manufacturing, garment production is still one of the industries most affected by modern slavery and child labor, according to International Labour Organization data. These problems are most common in the early stages of production, such as cotton farms, dye houses, and fabric mills, which are less visible than the brand-name factories.
Fast Fashion, Faster: The Shein and Temu Problem
In the last five years, a new category called ultra-fast fashion has emerged, making older models like Zara and H&M seem slow by comparison. Platforms such as Shein and Temu add thousands of new styles daily, produce items on demand in Chinese factories, and ship directly to customers around the world.
The environmental impact is severe. Shein’s own reports show its greenhouse gas emissions nearly doubled from 2022 to 2023, reaching 16.7 million metric tons of CO₂ equivalent. That’s almost as much as Inditex, Zara’s parent company, which is five times bigger by revenue. In 2024, Shein’s transportation emissions alone were over 8.5 million metric tons, more than three times Inditex’s. Temu hasn’t shared its emissions data, but third-party estimates put its yearly footprint between 4 and 6 million metric tons of CO₂e, mostly from shipping over a million air-freight parcels each day.
These business models not only pass environmental costs onto others, they rely on it. This is the main reason behind the push for new regulations.
The New Regulatory Landscape
For most of modern fashion history, sustainability promises have been voluntary, hard to verify, and mostly ineffective. That is finally starting to change. Three recent developments in the past eighteen months are especially important to watch..
Governor Gavin Newsom signed SB 707 into law in September 2024, making California the first U.S. state with extended producer responsibility for textiles. The law shifts responsibility for end-of-use management of apparel, footwear, and household textiles from consumers and municipalities to the companies that put the products on the market. Producers with less than $1 million in annual global revenue are exempt; everyone else must join a state-approved Producer Responsibility Organization (PRO) that will finance collection, repair, reuse, sorting, and recycling.
Implementation is staged. On February 27, 2026, CalRecycle selected Landbell USA as California’s textile PRO. Producers must register with the PRO by July 1, 2026. A statewide needs assessment runs through 2027, final implementing regulations are due by July 2028, and full enforcement begins July 1, 2030, with fines of up to $50,000 per day for noncompliance.
France’s Anti–Fast Fashion Law
In June 2025, the French Senate passed the most aggressive anti-fast-fashion legislation in the world by a vote of 337 to 1. The law imposes a per-item eco-tax starting at €5 and rising to €10 by 2030 (capped at 50 percent of retail price), bans advertising and influencer marketing of ultra-fast-fashion brands, requires point-of-sale environmental disclosures including carbon footprint and durability data, and carries fines of up to €100,000 for violating the ad ban. Revenue is directed to French sustainable-fashion producers.
The law is clearly aimed at Shein and Temu. In November 2025, French authorities requested that Shein’s fast-fashion platform be suspended for three months over the sale of illicit products — days after Shein opened its first physical retail store in Paris. The European Commission issued a detailed opinion on the French law in September 2025; other EU member states are watching.
The EU Waste Framework Directive
Under revisions to the EU Waste Framework Directive, every member state was required to have separate textile waste collection in place by January 2025 and must have a fully operational textile EPR scheme by 2027. France’s EPR program, which has been operating since 2008, and the Netherlands (2023) are already live. Italy, Spain, and others have draft decrees in public consultation. Outside the EU, Switzerland, Australia, and Chile are developing national frameworks.
In the U.S., beyond California, New York’s Fashion Sustainability and Social Accountability Act (A4631) and Senate Bill S3217A both carried into the 2026 session. Washington State introduced HB 1420 in January 2025; as of March 2026, it remains in committee. None of these have passed.
The Resale Market Is Doing What Regulation Hasn’t
While policymakers work on new rules, consumers are already changing their habits. ThredUp’s 2025 Resale Report says the U.S. secondhand clothing market grew by 14 percent in 2024, five times faster than traditional retail. It’s expected to reach $74 billion by 2029. Globally, the secondhand market could hit $367 billion by 2029, growing 2.7 times faster than the overall apparel market.
There is a clear generational divide. In 2024, 58 percent of U.S. consumers bought secondhand clothing. Among those aged 18 to 44, 48 percent now choose secondhand first when shopping for clothes. Thirty-nine percent of younger shoppers have bought secondhand items through social platforms like Instagram or TikTok Shop.
Resale alone won’t solve fashion’s environmental impact. Extending a garment’s life only helps if it replaces a new purchase. Still, this is the biggest shift in consumer behavior the industry has seen in a generation.
What Sustainable Fashion Actually Means
Sustainable fashion means having a supply chain that is responsible for both the environment and people at every stage. In practice, this includes using fibers that need less water, fewer chemicals, and create lower emissions; manufacturing with renewable energy; ensuring fair wages and safe working conditions; making products that last and can be repaired; and recycling materials into new clothes instead of turning them into insulation or sending them to landfills in places like Ghana or Chile.
It’s a long list, and no brand meets every standard. Still, more brands are making real progress. Patagonia, Eileen Fisher, and Pangaia share detailed impact reports that are checked by outside experts. Brands using leftover fabrics, made-to-order production, and closed-loop recycling are slowly growing. Certifications like Global Organic Textile Standard (GOTS) for organic fibers, Fair Trade Certified for labor, and bluesign for chemical management are meaningful when you see them on a label.
Fashion is still the most greenwashed part of the consumer goods industry. Words like “conscious,” “eco,” and “sustainable” aren’t regulated in the U.S. What really matters are specific certifications, published supply-chain data, and third-party audits—not marketing slogans.
Take Action At Home
Individual choices won’t fix fashion’s big problems, but they do influence demand. That demand can drive companies and lawmakers to make changes. Here are some practical steps, ranked by impact:
Buy less, buy better. The single most impactful choice is reducing the amount of new clothing entering your closet. A capsule wardrobe of durable, versatile pieces worn many times beats any “sustainable” label on a fast-fashion cycle.
Shop secondhand first. ThredUp, Poshmark, Depop, The RealReal, Vinted, and local thrift and consignment stores now offer selection and convenience comparable to traditional retail.
Get familiar with clothing materials. Natural fibers like organic cotton, linen, hemp, and wool usually have a smaller environmental impact at the end of their life than synthetics. Recycled polyester is better than new polyester, but it still releases microfibers.
Use a microfiber filter. Tools like the Guppyfriend wash bag or washing machine filters can catch a lot of synthetic microfibers before they enter the water system.
Repair before replacing. Visible mending, basic tailoring, and simple patches can extend a garment’s life by years.
Take care of your clothes so they last longer. Wash them in cold water, air-dry when you can, and avoid the dry cleaner unless it’s necessary. These steps help reduce emissions and wear on your clothes.
Recycle clothes instead of throwing them away. When something can’t be worn anymore, look for textile recycling options using Earth911’s recycling locator or a store take-back program. Sending clothes to a landfill should be the last resort.
Support new policies. Laws about textile EPR, supply-chain transparency, and anti-greenwashing are being considered in many states. These laws are more likely to pass when people contact their representatives.
Fashion is one of the most obvious ways the global economy affects our daily lives. Because it’s so visible, everyone is part of the problem—but it also means that when change happens, it’s easy to notice.
Editor’ Note: Originally written by Gemma Alexander on April 8, 2022, this article was substantially updated in April 2026.
The built environment, particularly office buildings other urban facilities, are responsible for 39% of the global energy-related emissions, according to the World Green Building Council. About a third of that impact comes from the initial construction of a building and the other two-thirds is produced over the lifetime of a building by heating, cooling, and providing power to the occupants. Our guest today is leading a key battle to reduce the impact of the built environment. Tune in for a wid
The built environment, particularly office buildings other urban facilities, are responsible for 39% of the global energy-related emissions, according to the World Green Building Council. About a third of that impact comes from the initial construction of a building and the other two-thirds is produced over the lifetime of a building by heating, cooling, and providing power to the occupants. Our guest today is leading a key battle to reduce the impact of the built environment. Tune in for a wide-ranging conversation with Rob Bernard, Chief Sustainability Officer at CBRE Group Inc., which manages more than $145 billion of commercial buildings, providing logistics, retail, and corporate office services across more than than 100 countries.
Rob Bernard, Chief Sustainability Officer at the commercial real estate giant CBRE, is our guest on Sustainability In Your Ear.
Rob cut his sustainability teeth at Microsoft, as its Chief Environmental Strategist for 11 years, as the company was developing its world-leading approach and collaborating with other tech giants to lobby for policy and funding to accelerate progress. He discusses CBRE’s Sustainability Solutions & Services for commercial building owners, as well as the accelerating progress for renewables, carbon tracking, and economic, health, and lifestyle benefits of living lightly on the planet. You can learn more about CBRE and its sustainability services at cbre.com
Take a few minutes to learn more about making construction and building operations more sustainable:
Editors’ Vox is a blog from AGU’s Publications Department.
The supply of magma from the Earth’s mantle is a primary source of heat to volcanic arc crust, where the heat is then dissipated through various processes. Much of this magmatic heat is dissipated as heated water, or aqueous fluid.
A new article in Reviews of Geophysics compares 11 different volcanic-arc segments where heat discharge via aqueous fluid has been well-inventoried to better understand the factors that influence this p
The supply of magma from the Earth’s mantle is a primary source of heat to volcanic arc crust, where the heat is then dissipated through various processes. Much of this magmatic heat is dissipated as heated water, or aqueous fluid.
A new article in Reviews of Geophysics compares 11 different volcanic-arc segments where heat discharge via aqueous fluid has been well-inventoried to better understand the factors that influence this process. Here, we asked the authors to give an overview of heat discharge from volcanic arcs, how scientists measure it, and what questions remain.
Why is it important to study how heat is dissipated from volcanic arcs?
The heat from these magmas matters for geothermal energy, patterns of groundwater flow, and the patterns of volcanic activity at the surface.
Volcanic arcs are the chains of volcanoes on top of subduction zones. They can produce some of Earth’s most explosive and hazardous eruptions. But much of the magma beneath the surface never erupts. Nevertheless, the heat from these magmas—and the simple fact of their existence and abundance—still matters for geothermal energy, patterns of groundwater flow, and the patterns of volcanic activity at the surface.
What are the main modes in which heat is discharged from volcanic arcs?
Heat at volcanic arcs can be carried by magmas, transmitted through the crust conductively, and carried by water seeping slowly through the crust. At the base of the crust, magmas are probably most important, with conduction coming in second. But as magmas move upwards through the crust, some of them solidify and impart their heat to their surroundings where it is transferred by conduction. Within a few kilometers of the surface, fluids seeping through the crust begin to take up all that heat, and so if we can quantify the heat carried by those fluids, we can retrace it to its origins in magmas.
How do scientists measure these different forms of heat loss?
Scientists measure the heat carried by erupting magmas using satellites, or by adding up the erupted masses and making an estimate of how much energy was released by cooling from eruption temperatures to solid igneous rocks at Earth’s surface. Conductive heat flow is measured by drilling holes in the Earth’s crust to see how quickly it gets hotter with depth.
Measuring the heat carried by aqueous fluids in the crust is in some ways the trickiest. One approach is to find all the springs where hot or even slightly warm water is trickling out and measure the temperature and discharge to estimate how much extra heat that water is carrying.
What are the challenges and uncertainties in measuring hydrothermal heat discharge?
One challenge is that many springs are only slightly warmer than you’d expect. There is good data for many hot springs, but there are data tracking these ‘slightly warm’ springs for only a subset of arcs. Another challenge is that warm underground fluids can flow laterally, so you have to try to account for that. This is not an uncertainty in hydrothermal discharge, but one additional big uncertainty for our study, where we were trying to quantify the proportion of magmas that freeze underground versus erupting, is in the estimates of how much magma has actually erupted through time.
What are some of the factors that influence hydrothermal heat loss?
A major goal of our paper is to try to quantify these hidden magmas.
A main factor that influences hydrothermal heat loss is the magmas that solidify underground. This link is the key motivation for our study. A major goal of our paper is to try to quantify these hidden magmas—how much magma needs to intrude the crust beneath the surface to supply the hydrothermal heat fluxes that we observe? The composition of magmas influences how much heat they can release. The depth at which magmas are emplaced also matters, because magmas that intrude the shallow crust eventually cool to lower temperatures than magmas emplaced in the lower crust and therefore release more heat.
What are the remaining questions or knowledge gaps where additional research efforts are needed?
A big outstanding challenge is combining estimates from hydrothermal data of how much magma is coming into the crust – like ours – with other approaches to estimating the same thing. The magmatic systems beneath volcanoes span the crust. At the base of the crust, you have magma supply, sort of like the water main feeding your plumbing system. Despite how fundamental magma supply is, we know remarkably little about it. It’s exciting to think about how the rates of magma supply could vary through time and space and why. Applying a range of techniques—including geophysical imaging, hydrothermal budgets, gas and igneous geochemistry, and petrology—to understand these questions could really be a game changer.
Editor’s Note: It is the policy of AGU Publications to invite the authors of articles published in Reviews of Geophysics to write a summary for Eos Editors’ Vox.
Citation: Black, B. A., S. E. Ingebritsen, and K. Sawayama (2026), Hydrothermal heat flow as a window into subsurface arc magmas, Eos, 107, https://doi.org/10.1029/2026EO265017. Published on 28 April 2026.
This article does not represent the opinion of AGU, Eos, or any of its affiliates. It is solely the opinion of the author(s).
The Đà Nẵng Homeschool Community has raised more than VNĐ8 million ($315) to support wildlife conservation and environmental education for underprivileged children at an Earth Day Market.
The Đà Nẵng Homeschool Community has raised more than VNĐ8 million ($315) to support wildlife conservation and environmental education for underprivileged children at an Earth Day Market.
Every chip fabricated in a semiconductor plant needs ultrapure water. Most nuclear reactors need water as a coolant and neutron moderator. Every artificial intelligence (AI) data center drinks between 1 million and 5 million gallons of water a day, with thirst often peaking during drought.
Water runs through every technology priority the United States has named, yet the word does not appear once in “Launching the Genesis Mission,” an executive order (EO) released in November 2025. As describ
Every chip fabricated in a semiconductor plant needs ultrapure water. Most nuclear reactors need water as a coolant and neutron moderator. Every artificial intelligence (AI) data center drinks between 1 million and 5 million gallons of water a day, with thirst often peaking during drought.
Water runs through every technology priority the United States has named, yet the word does not appear once in “Launching the Genesis Mission,” an executive order (EO) released in November 2025. As described in the EO, the Genesis Mission is a “dedicated, coordinated national effort to unleash a new age of AI-accelerated innovation and discovery that can solve the most challenging problems of this century.”
Led by the Department of Energy (DOE), the initiative aims to build an integrated AI framework that would harness federal scientific datasets to accelerate breakthroughs in advanced manufacturing, biotechnology, critical materials, nuclear fission and fusion energy, quantum information science, and semiconductor development. The scope of the mission is comparable to that of the Manhattan Project.
Since the announcement, the DOE has listed “Predicting U.S. Water for Energy” among its 26 Genesis Mission Science and Technology Challenges. The project is also soliciting proposals in three water-related focus areas.
This framework provides a foothold for hydrology in the Genesis Mission, but it is scoped narrowly around water as a supply variable for energy production.
In reality, water is a crosscutting constraint that will help determine whether the mission’s priorities translate into deployable outcomes. The hydrology community now has a seat at the table, and if it moves first and positions water security as one of the “most challenging problems of this century,” the Genesis Mission can become the sandbox in which AI reshapes how the country measures, models, and manages water.
Making this happen will require that the DOE and the Office of Science and Technology Policy charter a hydrology workstream inside the Genesis Mission, with interagency delivery involving the U.S. Geological Survey (USGS), NOAA, the Bureau of Reclamation, the EPA, and partners at state, regional, and community levels. Here is what we think that workstream should look like:
A water-centric Genesis Mission architecture supports seven hydrological components that both feed into and receive decisions from the Genesis AI platform. Each component maps to a section of this article. Credit: Amobichukwu C. Amanambu. Click image for larger version.
While the existing challenges reflect some of these components, others will require coordinated effort from the hydrology community to bring into the Genesis Mission’s scope.
Build the Water Corpus Genesis Will Need
The Genesis Mission EO instructs the DOE to create an American Science and Security Platform to provide the public, scientists, agencies, and policymakers access to crucial scientific datasets.
The good news is that accessible water data systems already exist across several federal agencies and academic research centers. The USGS National Water Information System tracks real-time and historical water quality and use across the country. NASA’s Earth Science Data Systems Program provides open access to Earth science observations. NOAA’s National Water Center, the first federal facility dedicated to national water resource forecasting, operates the National Water Model, which continuously forecasts flows on 2.7 million stream reaches across the continental United States. The Catchment Attributes and Meteorology for Large-Sample Studies (CAMELS) dataset, currently hosted by the National Center for Atmospheric Research, provides data tailored for hydrological research on hundreds of river basins, and the Caravan framework pulls together multiple large-sample meteorological and hydrological datasets at a global scale.
What is missing is a unified, AI-ready repository that brings federal, state, and community data together.
What is missing is a unified, AI-ready repository that brings federal, state, and community data together. Building one is hard. Water data are fragmented, inconsistent, and often entirely absent. Consistent, reliable data for groundwater, withdrawals, reservoir operations, and water quality are especially difficult to obtain.
Local resistance to sharing data is real. In Texas, for example, landowners hold private property rights over groundwater and have opposed metering and reporting requirements imposed by groundwater conservation districts. In California, agricultural well owners fought metering mandates for years before the Sustainable Groundwater Management Act compelled local agencies to begin tracking withdrawals. Tribal nations face a different concern: Water data collected on Indigenous lands has been misrepresented in federal datasets that were modeled without accounting for Indian country, leading many nations to restrict access to their data as an exercise of sovereignty.
Practical steps toward building a unified AI-ready repository include tiered access and licensing for different stakeholders, clear provenance tracking for all data reported, financial and educational incentives for stakeholders for reporting, and targeted gap filling. Where measurements are missing, AI can fuse remote sensing with gauged records and operational logs—but only if the results carry honest uncertainty estimates tied to real decisions.
Get the corpus right, and it will outlive any single program name. It becomes infrastructure the country can lean on.
Develop Shared Hydrologic Foundation Models
The Genesis Mission EO directs the DOE to provide “domain-specific foundation models across the range of scientific domains covered.”
Hydrology has a head start. Long short-term memory (LSTM) networks are a key type of neural network designed to last thousands of time steps. Hydrology LSTMs trained on CAMELS data have already matched traditional conceptual models for daily streamflow discharge prediction. Open-source Neural Hydrology tools serve as baselines for regional runoff prediction. These predictions may serve as precursors to the foundation models the Genesis Mission envisions and building blocks from which they could be developed.
The process of scaling up these tools is not straightforward, however. A hydrologic investigation of snowmelt-driven streams in Colorado will not require the same spatiotemporal data as tile-drained fields in Iowa, for example. A hydrology-specific foundation model must take nuanced requirements into consideration and provide a clear path for managing and exploiting a variety of datasets.
Google’s Flood Hub shows what is possible: Its AI-enabled flood forecasts now cover more than 80 countries. However, Flood Hub’s core model code and trained weights remain proprietary, meaning researchers can use the forecasts but cannot rebuild or adapt the underlying models. Genesis, if well positioned, can fill that accessibility gap by producing foundation models for water that are reusable, reliable, and openly governed.
Build a National Water Digital Twin
The EO prescribes an integrated AI platform combining foundation models with simulation tools to stimulate AI-enabled innovations.
That architecture is exactly what a digital twin requires. Europe’s Destination Earth initiative is already building digital twins for weather extremes and nonstationary conditions on the Large Unified Modern Infrastructure (LUMI) supercomputer. The United Nations–led AI for Good initiative has prioritized water applications, warning that fragmented national efforts risk duplicating work.
If the United States aims for global strategic leadership in AI-accelerated science, water infrastructure cannot be an afterthought.
A water digital twin earns its keep when it makes the consequences of choices visible, in terms of flows, levels, temperatures, and risks to people and ecosystems.
Rather than starting from scratch, a water-centric Genesis Mission would unite existing federal models—the National Water Model, reservoir simulators, and groundwater codes—in a single digital twin. AI can become the thread that stitches them together, correcting biases and providing numerical solvers to enforce mass and energy balance.
What should this twin actually do? Help a dam operator decide whether to release water ahead of a storm. Tell planners where a new data center can draw cooling water without drying up a stream. Flag which coastal defenses will fail first under rising seas.
A water digital twin earns its keep when it makes the consequences of choices visible, in terms of flows, levels, temperatures, and risks to people and ecosystems.
Turn Basins into AI Test Beds
The Genesis Mission promotes AI-directed experimentation and directs the DOE to keep a record of robotic laboratories and production facilities in which such experimentation could be conducted. Hydrological field sites belong in that inventory. The National Ecological Observatory Network already operates 81 sites with standardized measurements of meteorology, surface water, groundwater, and biodiversity. The Critical Zone Collaborative Network instruments catchments to track water-soil-vegetation interactions over decades.
Formalizing these networks as AI test beds would link field observations back into the water digital twin so that experiments and models continually sharpen each other. Imagine mobile sensors steered by AI agents during a storm or aquifer recharge experiments designed by algorithms and verified in real time. That feedback loop is what separates a useful model from a decorative one.
Expand Water Challenges on the Genesis Mission List
The Exchange and What’s at Stake
Allowing water security to flow through the diverse components of the Genesis Mission would benefit both the policies championed by the mission itself and the hydrology community.
The Genesis Mission gets real-world, noisy test beds where AI proves value beyond benchmarks, a domain to stress test climate and infrastructure investments, and scientists trained in both AI and the stubborn realities of rivers, aquifers, and pipes.
Hydrology gets resources for shared data infrastructure, foundation models and instrumented basins no single lab can support, a seat when rules for AI and national scientific infrastructure are negotiated, and a chance to reset practices around openness, collaboration, and equity.
Earlier this year, the DOE released 26 Genesis Mission Science and Technology Challenges, and “Predicting U.S. Water for Energy” was among them. The accompanying funding call (DE-FOA-0003612) solicits proposals on cloud microphysics, coupled surface water–groundwater modeling, and seasonal to multiyear prediction, all framed around energy needs and flood resilience.
These inclusions are a significant win for a hydrology component to Genesis, but several urgent challenges sit outside their scope. Can AI close the gap between a flood forecast issued 12 hours out and the 48 hours emergency managers actually need? Can it map compound extremes, in which drought, heat, and infrastructure failure collide in the same week? Can it redesign monitoring networks so that coverage follows risk rather than where gauges happened to be installed a century ago? Integrating energy and water systems is equally urgent: Floods have caused 80% of major U.S. grid outages since 2000, while drought-driven water stress curtails cooling at thermoelectric plants and reduces hydropower output, exposing how deeply energy infrastructure depends on hydrologic extremes.
The water footprint of new AI infrastructure deserves a place on that list. A separate executive order (14318, “Accelerating Federal Permitting of Data Center Infrastructure”) is already fast-tracking expansion of data center construction, and a single hyperscale facility can consume 1 million to 5 million gallons of water daily. Emerging research shows how withdrawals at that scale can push streams below ecological thresholds during low flows.
Make Hydrology the Conscience of AI Governance
The EO directs the DOE to set data access rules and clarify policies for ownership, licensing, trade secret protections, and commercialization of products and tools associated with it.
Three principles should anchor such policies for AI use in water security.
First, Indigenous and community data rights must be embedded in every major AI water security effort, in line with the collective benefit, authority to control, responsibility, and ethics (CARE) principles for Indigenous data governance.
Second, AI’s own water footprint, through electricity generation and cooling, must be treated as a design constraint. Transparent reporting, stress-based siting, and efficiency targets will prevent hydrology in Genesis from being self-defeating.
Third, the DOE should define what failure looks like. Missing a flood crest portends loss of lives and livelihoods and breaches of treaties. Accountability standards must be measurable, and they must ask not just how accurate the forecast was on average, but who bore the cost when it was wrong.
A single executive order will not solve the country’s water security problems, and a single challenge topic will not either.
But the Genesis Mission has provided a seat at a table that did not exist 6 months ago. Whether the hydrology community treats it as a ceiling or a foundation depends on what happens next. Europe’s Destination Earth and the United Nations’ AI for Good water initiatives are already moving.
American hydrology now has a seat at the table. We should take it.
Kratzert, F., et al. (2019), Toward improved predictions in ungauged basins: Exploiting the power of machine learning, Water Resour. Res., 55, 11,344–11,354, https://doi.org/10.1029/2019WR026065.
Xiao, T., et al. (2025), Environmental impact and net-zero pathways for sustainable artificial intelligence servers in the USA, Nat. Sustainability, 8, 1,541–1,553, https://doi.org/10.1038/s41893-025-01681-y.
Zhang, L., et al. (2025), Foundation models as assistive tools in hydrometeorology: Opportunities, challenges, and perspectives, Water Resour. Res., 61, e2024WR039553, https://doi.org/10.1029/2024WR039553.
Author Information
Amobichukwu C. Amanambu (acamanambu@ua.edu), Department of Geography and the Environment, The University of Alabama, Tuscaloosa; and Jonathan Frame (jmframe@ua.edu), Department of Geological Sciences, The University of Alabama, Tuscaloosa
Citation: Amanambu, A. C., and J. Frame (2026), The Genesis Mission needs hydrology: Here’s how to incorporate it, Eos, 107, https://doi.org/10.1029/2026EO260131. Published on 28 April 2026.
This article does not represent the opinion of AGU, Eos, or any of its affiliates. It is solely the opinion of the author(s).
In October 2025, Jim Gain joined a birding tour in Ecuador, exploring its rich biodiversity and stunning landscapes over 14 days. The blog series chronicles his experiences with birds and nature.
In October 2025, Jim Gain joined a birding tour in Ecuador, exploring its rich biodiversity and stunning landscapes over 14 days. The blog series chronicles his experiences with birds and nature.
Editor’s Note: This is the first article in a new Earth911 series, Where Waste Comes From, examining the largest sources of waste in the typical American household, what each category costs the family, what it costs the country, and what it costs the climate. We begin with food because food is the biggest category, because every household touches it every day, and because the lever any one family can pull on it is unusually large.
A family of four in the United States throws out more than $3,000
Editor’s Note: This is the first article in a new Earth911 series, Where Waste Comes From, examining the largest sources of waste in the typical American household, what each category costs the family, what it costs the country, and what it costs the climate. We begin with food because food is the biggest category, because every household touches it every day, and because the lever any one family can pull on it is unusually large.
A family of four in the United States throws out more than $3,000 worth of food a year. Not “wastes” in the vague sense of eating too much or buying the wrong brand. We mean “throws out” — into the trash, into the disposal, or scraped off a plate into the bin, according to the2026 ReFED U.S. Food Waste Report, the most current accounting of the problem.
The climate bill is equally devastating. All of that uneaten food carries an annual greenhouse gas footprint of 154 million metric tons of CO₂-equivalent, the same as driving 36 million passenger vehicles for a year. That food also required about 9 trillion gallons of water to grow — water that was never consumed by a human being. None of these resources made it to a table.
The waste stream inside the house
Food is the single largest component of landfilled material in the United States by weight, based on the EPA’s most recent sustainable materials accounting. EPA discontinued the comprehensive series after that December 2020 release; budget and staffing cuts under the current Trump administration have kept the report from being revived.
State waste studies provide continuing proof of the food waste epidemic, and the potential for progress. Washington’s 2020-2021 Statewide Waste Characterization Study found food waste accounted for nearly 20% of residential garbage. California’s 2021 Disposal Facility-Based Waste Characterization Study found organics, which includes food and yard waste, made up 28.4% of landfilled material, down from 34.1% in 2018, with the reduction credited largely to SB 1383, a state law that requires curbside organics collection for composting.
Where does food waste come from inside the home? ReFED’s consumer-behavior research, published in July 2025, breaks it down into four dominant habits:
Produce that spoiled before it was used. Fresh fruits and vegetables lose freshness quickly, cost less per pound than animal proteins, and tend to be bought in larger quantities than households consume.
Prepared food left over. The restaurant-style portion has migrated into the home kitchen. Leftovers are forgotten, buried, or mentally written off the moment a newer meal enters the fridge.
Confusion over date labels. “Sell by,” “best by,” and “use by” mean different things, are not federally regulated except for infant formula, and are frequently treated by consumers as expiration warnings when they are shelf-life guidance.
Over-purchasing against oversize packaging. The family-size bag of spinach and the 48-ounce jug of milk are typically the lowest per-unit price, and the highest risk of spoilage for small households.
ReFED revised its residential-waste estimate downward in its 2024 report by roughly 40 percent, or 17 million tons — not because household behavior improved, but because earlier estimates double-counted some flows. The overall residential waste picture is still enormous. It is also not shrinking. Consumer waste rates rose in the most recent data year even as overall U.S. food waste edged down, driven by retail and manufacturing progress that the home has not yet matched.
Burning a hole in your family budget
Let’s break down the national number to look inside a single household. A U.S. family of four spending roughly $12,000 to $15,000 a year on groceries throws away, on average, somewhere between 20 and 25 percent of it. The equivalent dollar number — $3,000 a year lost in the kitchen — is larger than the average American household’s annual spending on home energy, larger than most families’ annual clothing budget, and comparable to an annual car insurance premium. It is, in most households, the biggest single lever the family has on its grocery budget, climate footprint, and water footprint simultaneously. Very few household sustainability choices compound this cleanly.
Beyond the grocery-bill number, food waste generates costs the household pays for through taxes, utility fees, and environmental damage whether it knows it or not:
Landfill tipping fees: The 2024 Environmental Research and Education Foundation’s national tipping-fee survey put the weighted-average U.S. landfill tipping fee at $62.63 per ton, which is up 10 percent year over year — the largest annual increase since 2022. Every ton of food scraps sent to landfill is a ton charged against the municipal solid-waste budget that residents fund through utility bills and property taxes.
Landfill methane: Food waste is the single largest contributor to the methane emissions from U.S. landfills, which are the third-largest source of anthropogenic methane in the country.
Food insecurity: The 35 million tons of consumer food waste translate to nearly 58 billion meals that could have gone to people in need, while roughly 14 percent of Americans (1 in 7) experience food insecurity. The waste is not just resources; it is a distribution failure with a public-health cost downstream.
Water: Nine trillion gallons is an abstract number. It is roughly the volume of Lake Okeechobee. Every drop required an energy input for pumping, treatment, and, in the western third of the country, an increasingly scarce supply.
Where the infrastructure works, and where it doesn’t
Curbside organics collection, the municipal programs that pick up food scraps along with yard waste for industrial composting or anaerobic digestion, is available in parts of California, Oregon, Washington, Massachusetts, Vermont, Colorado, Minnesota, and a growing number of metro areas in other states. Where it runs, compostable collection materially shifts the numbers. San Francisco’s mandatory program, the oldest and most cited, diverts the majority of residential organic material from landfill and produces commercial-grade compost that returns to regional farms.
Outside those states, most households have no curbside pathway. Backyard composting is the most widely available option. For households without the space or the desire to compost at home, a small ecosystem of digital services has grown up to fill the gap municipal programs don’t cover. MakeSoil and Peels operate peer-matching platforms that connect people who have food scraps with neighbors who already run a compost pile, worm bin, or chicken coop. CompostNow runs paid curbside pickup in a growing list of cities, including Atlanta, Asheville, Cincinnati, and the Raleigh-Durham area, and partners with municipalities on drop-off programs elsewhere. ShareWaste, the original neighbor-matching service and the one most commonly cited in earlier reporting, unfortunately, was shuttered at the end of 2024.
Most of the household lever on food waste is not composting. It is prevention. Composting turns discarded food into a lower-impact product. It still represents calories, dollars, and upstream water and energy that never delivered their purpose. The first line of defense is buying, storing, and planning to match the family’s actual consumption. The second line is composting what remains.
Take Action
At the individual and household level, some simple steps can make a difference:
Audit one week of your kitchen trash. Actually weigh or photograph a week of food-bin contents. Families who do this consistently identify their top three loss categories (usually produce, leftovers, and bread) within a single week, and those become the behavior targets.
Shop the fridge, then the pantry, then the store. Before writing a grocery list, list what’s already on hand. Plan at least one “use it up” meal per week built around what is about to spoil.
Learn date labels. “Use by” is the only label where food should not be eaten after the date, and only for a short list of products (infant formula, some deli meats). “Sell by” is inventory guidance for the retailer. “Best by” is quality guidance, not safety.
Freeze aggressively. Bread, cheese, cooked grains, leftovers, and most produce (with minimal prep) all freeze well. Most household waste is time-based; the freezer pauses the clock.
Start composting where collection exists, or set up a backyard or countertop system.Earth911’s recycling search tool lists local organics programs by ZIP code.
At the community and policy level, a little cooperation and activism can go a long way:
Support mandatory organics collection where your state or city is considering it, then use the services when available. Organics bans have now passed in California (SB 1383, mentioned above), Vermont, Connecticut, Maryland, New Jersey, New York, Rhode Island, and Washington. The programs work only when households participate.
Push for a unified federal date-label standard. Legislation has been introduced in every recent Congress. It has not passed.
Work on food insecurity in the same room as food waste. The two issues belong on the same municipal agenda. Rescue organizations — Feeding America, City Harvest, community food-pantry networks — need volunteers and advocacy as much as they need donations.
Nine million tons of carbon dioxide equivalent. That is the projected climate cost of the 48-team, three-country, 16-city soccer tournament that kicks off June 11 in Mexico City — nearly double the average emissions of every World Cup held between 2010 and 2022.
The figure comes from a peer-reviewed analysis published by Scientists for Global Responsibility, the Environmental Defense Fund, Cool Down, the Sport for Climate Action Network, and the New Weather Institute. Their conclusion: FIFA’s de
Nine million tons of carbon dioxide equivalent. That is the projected climate cost of the 48-team, three-country, 16-city soccer tournament that kicks off June 11 in Mexico City — nearly double the average emissions of every World Cup held between 2010 and 2022.
The figure comes from a peer-reviewed analysis published by Scientists for Global Responsibility, the Environmental Defense Fund, Cool Down, the Sport for Climate Action Network, and the New Weather Institute. Their conclusion: FIFA’s decision to expand the tournament and spread it across a continent has locked in a climate footprint that no amount of host-city recycling or LED lighting can offset.
Which makes the question of which host cities are doing serious sustainability work more important, not less. Their practices will outlast the tournament.
The Problem Is Structural
World Cup-related team air travel will account for roughly 7.7 million tons of CO2-equivalent — about 85% of the total, according to the SGR analysis. That is the direct consequence of two FIFA decisions. First, the tournament grew from 32 to 48 teams and from 64 to 104 matches. Second, FIFA chose to hold those matches across Canada, Mexico, and the United States rather than concentrate them in a single region.
The contrast with the previous tournament is stark. Qatar 2022 kept its eight stadiums within 34 miles of each other. The shortest distance between 2026 stadiums, from MetLife in New Jersey to Lincoln Financial Field in Philadelphia, is 95.5 miles. Most teams’ itineraries cover thousands of miles. One UEFA playoff winner, according to a Fossil Free Football analysis, could travel Toronto to Los Angeles (2,175 miles), then Los Angeles to Seattle (932 miles), then, in the knockout rounds, another 2,500 miles to Boston.
FIFA does not set binding emissions limits for host cities, and it did not address the underlying decision to spread the tournament across North America. SGR’s researchers urged FIFA to reverse the team expansion, set mandatory environmental standards, and end sponsorship deals with high-emitting companies, including the Saudi oil company Aramco, whose sponsorship is estimated to result in an additional 30 million tons of CO2e due to energy sales linked to the tournament’s promotion.
The Heat Risk Nobody Planned For
Climate change is not just an abstraction measured in tournament emissions. It is a condition players and fans will experience in real time. The SGR/EDF report assessed heat, flooding, and extreme weather risk at all 16 stadiums. Six face extreme heat stress due to Wet Bulb Globe Temperatures above 80°F, the threshold where exertion becomes dangerous. Eight of the 16 cities require what the researchers called immediate environmental intervention. Four need critical intervention, according to the report.
AT&T Stadium in Arlington, Texas, which will host nine World Cup matches — more than any other venue — experiences 37 days per year above 95°F, with July wet bulb readings that exceed FIFA safety thresholds.
Houston’s NRG Stadium faces simultaneous heat, flooding, and wildfire risk.
Los Angeles contends with wildfire smoke.
Miami faces hurricanes.
Where Host Cities Lead, and Where They Lag
A sustainability ranking published by World Sports Network in April 2026 attempts to score the 16 host cities across transit access, electric vehicle infrastructure, waste, air pollution, urban greening, and greenhouse gas emissions. The methodology has limits — it weights all factors equally, uses stadium-specific data alongside city-wide data, and includes some questionable proxies — but its directional finding is consistent with what urban sustainability researchers have long documented about the climate in North American cities.
Vancouver tops the rankings. British Columbia generates roughly 95% of its electricity from renewable sources, largely hydropower. BC Place sits in the center of Vancouver, with 26 public transit stops within a 10-minute walk. Fans can reach it by SkyTrain or bus. That single design decision eliminates most of the vehicle trips and parking-lot sprawl that define a typical U.S. stadium day.
Boston ranked second, the highest-scoring U.S. city. That is less about inherent greenness than about what severe flooding has forced the city to prepare for. Boston experienced 19 days of flooding in 2024, and sea levels around the city are projected to rise 20 centimeters by 2030 relative to 2000. The city’s Building Emissions Reduction and Disclosure Ordinance requires large buildings to cut emissions to net zero by 2050, with interim targets that have already tightened performance at Gillette Stadium’s surrounding infrastructure.
Mexico City placed third, Toronto fourth, Monterrey fifth. The pattern shows that four of the top five cities are outside the United States, even though 11 of the 16 host cities are American. Mexico City’s transformation from one of the most polluted major cities in the world into one of the Americas’ most active urban reforesters, with over 27 million trees and plants added between 2018 and 2021, is the kind of long-horizon work that does not fit inside a tournament timeline but shapes what that timeline makes possible.
The American Transit Problem
Every U.S. host city except Boston falls in the bottom half of the WSN ranking, and the reason is almost always the same: transit.
AT&T Stadium in Arlington has no public transit stops within a 10-minute walk. Hard Rock Stadium in Miami, which will host seven matches, sits 17 miles north of downtown Miami with no rail connection. SoFi Stadium in Inglewood, MetLife in East Rutherford, and NRG in Houston all require a car, a shuttle, or a rideshare for most attendees.
Dallas-Fort Worth is ranked third in the world for transportation-related greenhouse gas emissions, a structural problem no single event can fix. The Dallas organizing committee has built a sustainability plan in collaboration with the University of Texas at Arlington’s chief sustainability officer, Meghna Tare. It addresses waste management, single-use plastic reduction, composting, and community legacy. The North Central Texas Council of Governments has designed a charter bus system to fill the transit gap for the nine matches AT&T Stadium will host. These are real efforts. They also show that when infrastructure is car-dependent, event-specific workarounds can reduce harm but don’t substitute for the public transit that does not exist.
What This Means Beyond the Tournament
The 2026 World Cup will be a 34-day event watched by a projected 5 million in-person fans and up to 6 billion viewers worldwide. The emissions it generates will dissipate into an atmosphere that cannot tell tournament carbon from commuting carbon. What will persist are the infrastructure choices each host city makes now, including whether transit lines are extended or not, stadium renovations that meet LEED standards or do not, food recovery programs that continue operating after the final match or get packed away with the branded signage.
These are not reasons to hate world football. It’s the Beautiful Game, and its governing body, FIFA, can make changes to reduce the tournament’s impact and protect players from heat-related injuries.
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