Connect with us

Science

Moss Landing Battery Fire Fallout: Study Finds Toxic Metals Captured in Nearby Wetlands

After the January 2025 Moss Landing battery storage fire, researchers found nickel, manganese and cobalt particles raining onto nearby wetlands. A new study shows how toxic metals settled, spread with tides and rain, and may bioaccumulate through Elkhorn Slough’s food web—raising fresh questions about battery storage safety.

Published

on

Last Updated on December 19, 2025 by Daily News Staff

After the January 2025 Moss Landing battery storage fire, researchers found nickel, manganese and cobalt particles raining onto nearby wetlands. A new study shows how toxic metals settled, spread with tides and rain, and may bioaccumulate through Elkhorn Slough’s food web—raising fresh questions about battery storage safety.
A battery energy storage facility that was built inside an old power plant burned from Jan. 16-18, 2025.
Mike Takaki

Moss Landing Battery Fire Fallout: Study Finds Toxic Metals Captured in Nearby Wetlands

Ivano W. Aiello, San José State University

When fire broke out at the world’s largest battery energy storage facility in January 2025, its thick smoke blanketed surrounding wetlands, farms and nearby communities on the central California coast.

Highways closed, residents evacuated and firefighters could do little but watch as debris and ash rained down. People living in the area reported headaches and respiratory problems, and some pets and livestock fell ill.

Two days later, officials announced that the air quality met federal safety standards. But the initial all-clear decision missed something important – heavy metal fallout on the ground.

A large charred piece of material with a putty knife to show the size.
A chunk of charred battery debris found near bird tracks in the mud, with a putty knife to show the size. The surrounding marshes are popular stopovers for migrating seabirds. Scientists found a thin layer of much smaller debris across the wetlands.
Ivano Aiello, et al, 2025

When battery energy storage facilities burn, the makeup of the chemical fallout can be a mystery for surrounding communities. Yet, these batteries often contain metals that are toxic to humans and wildlife.

The smoke plume from the fire in Vistra’s battery energy storage facility at Moss Landing released not just hazardous gases such as hydrogen fluoride but also soot and charred fragments of burned batteries that landed for miles around.

I am a marine geologist who has been tracking soil changes in marshes adjacent to the Vistra facility for over a decade as part of a wetland-restoration project. In a new study published in the journal Scientific Reports, my colleagues and I were able to show through detailed before-and-after samples from the marshes what was in the battery fire’s debris and what happened to the heavy metals.

The batteries’ metal fragments, often too tiny to see with the naked eye, didn’t disappear. They continue to be remobilized in the environment today.

A satellite image of the area where the fire was, surrounded by farm fields and marshes.
The Vistra battery energy storage facility – the large gray building in the lower left, near Monterey Bay – is surrounded by farmland and marshes. The smoke plume from the fire rained ash on the area and reached four counties.
Google Earth, with data from Google, Airbus, MBARI, CSUMB, CC BY

What’s inside the batteries

Moss Landing, at the edge of Monterey Bay, has long been shaped by industry – a mix of power generation and intensive agriculture on the edge of a delicate coastal ecosystem.

The Vistra battery storage facility rose on the site of an old Duke Energy and PG&E gas power plant, which was once filled with turbines and oil tanks. When Vistra announced it was converting the site into the world’s largest lithium-ion battery facility, the plan was hailed as a clean energy milestone. Phase 1 alone housed batteries with 300 megawatts of capacity, enough to power about 225,000 homes for four hours.

The energy in rechargeable batteries comes from the flow of electrons released by lithium atoms in the anode moving toward the cathode.

In the type of batteries at the Moss Landing facility, the cathode was rich in three metals: nickel, manganese and cobalt. These batteries are prized for their high energy density and relatively low cost, but they are also prone to thermal runaway.

Advertisement
Get More From A Face Cleanser And Spa-like Massage

Lab experiments have shown that burning batteries can eject metal particles like confetti.

Metals found in wetlands matched batteries

When my team and I returned to the marsh three days after the fire, ash and burned debris covered the ground. Weeks afterward, charred fragments still clung to the vegetation.

Our measurements with portable X-ray fluorescence showed sharp increases in nickel, manganese and cobalt compared with data from before the fire. As soon as we saw the numbers, we alerted officials in four counties about the risk.

We estimate that about 25 metric tons (55,000 pounds) of heavy metals were deposited across roughly half a square mile (1.2 square kilometers) of wetland around Elkorn Slough, and that was only part of the area that saw fallout.

To put this in perspective, the part of the Vistra battery facility that burned was hosting 300 megawatts of batteries, which equates to roughly 1,900 metric tons of cathode material. Estimates of the amount of batteries that burned range from 55% to 80%. Based on those estimates, roughly 1,000 to 1,400 metric tons of cathode material could have been carried into the smoke plume. What we found in the marsh represents about 2% of what may have been released.

Three series of maps of the area showing change in quantities of the three metals.
These contour maps show how metals from the Moss Landing battery fire settled across nearby wetlands. Each color represents how much of a metal – nickel, manganese or cobalt – was found in surface soils. Darker colors mean higher concentrations. The highest levels were measured about two weeks after the fire, then declined as rain and tides dispersed the deposits.
Charlie Endris

We took samples at hundreds of locations and examined millimeter-thin soil slices with a scanning electron microscope. Those slices revealed metallic particles smaller than one-tenth the width of a human hair – small enough to travel long distances and lodge deep in the lungs.

The ratio of nickel to cobalt in these particles matched that of nickel, manganese and cobalt battery cathodes, clearly linking the contamination to the fire.

Over the following months, we found that surface concentrations of the metals dropped sharply after major rain and tidal events, but the metals did not disappear. They were remobilized. Some migrated to the main channel of the estuary and may have been flushed out into the ocean. Some of the metals that settled in the estuary could enter the food chain in this wildlife hot spot, often populated with sea otters, harbor seals, pelicans and herons.

A zoomed in look at a small lump on a leaf
A high-magnification image of a leaf of bristly oxtongue, seen under a scanning electron microscope, shows a tiny metal particle typically used in cathode material in lithium-ion batteries, a stark reminder that much of the fallout from the fire landed on vegetation and croplands. The image’s scale is in microns: 1 micron is 0.001 millimeters.
Ivano Aiello

Making battery storage safer as it expands

The fire at Moss Landing and its fallout hold lessons for other communities, first responders and the design of future lithium-ion battery systems, which are proliferating as utilities seek to balance renewable power and demand peaks.

When fires break out, emergency responders need to know what they’re dealing with. A California law passed after the fire helps address this by requiring strengthening containment and monitoring at large battery installations and meetings with local fire officials before new facilities open.

How lithium-ion batteries work, and why they can be prone to thermal runaway.

Newer lithium-ion batteries that use iron phosphate cathodes are also considered safer from fire risk. These are becoming more common for utility-scale energy storage than batteries with nickel, manganese and cobalt, though they store less energy.

How soil is tested is also important. At Moss Landing, some of the government’s sampling turned up low concentrations of the metals, likely because the samples came from broad, mixed layers that diluted the concentration of metals rather than the thin surface deposits where contaminants settled.

Advertisement
Get More From A Face Cleanser And Spa-like Massage

Continuing risks to marine life

Metals from the Moss Landing battery fire still linger in the region’s sediments and food webs.

These metals bioaccumulate, building up through the food chain: The metals in marsh soils can be taken up by worms and small invertebrates, which are eaten by fish, crabs or shorebirds, and eventually by top predators such as sea otters or harbor seals.

Our research group is now tracking the bioaccumulation in Elkhorn Slough’s shellfish, crabs and fish. Because uptake varies among species and seasons, the effect of the metals on ecosystems will take months or years to emerge.

Ivano W. Aiello, Professor of Marine Geology, San José State University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Hollywood vs. Reality: How LA’s Wilshire Subway Was Really Built

Link: https://stmdailynews.com/wilshire-subway-tunneling-hollywood-vs-reality/

View recent photos

Unlock fun facts & lost history—get The Knowledge in your inbox!

We don’t spam! Read our privacy policy for more info.

Advertisement
Get More From A Face Cleanser And Spa-like Massage

Discover more from Daily News

Subscribe to get the latest posts sent to your email.

Continue Reading
Advertisement Sports Research
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Forgotten Genius Fridays

Valerie Thomas: NASA Engineer, Inventor, and STEM Trailblazer

Published

on

Last Updated on February 10, 2026 by Daily News StaffValerie Thomas

Valerie Thomas is a true pioneer in the world of science and technology. A NASA engineer and physicist, she is best known for inventing the illusion transmitter, a groundbreaking device that creates 3D images using concave mirrors. This invention laid the foundation for modern 3D imaging and virtual reality technologies.

Beyond her inventions, Thomas broke barriers as an African American woman in STEM, mentoring countless young scientists and advocating for diversity in science and engineering. Her work at NASA’s Goddard Space Flight Center helped advance satellite technology and data visualization, making her contributions both innovative and enduring.

In our latest short video, we highlight Valerie Thomas’ remarkable journey—from her early passion for science to her groundbreaking work at NASA. Watch and be inspired by a true STEM pioneer whose legacy continues to shape the future of space and technology.

🎥 Watch the video here: https://youtu.be/P5XTgpcAoHw

Dive into “The Knowledge,” where curiosity meets clarity. This playlist, in collaboration with STMDailyNews.com, is designed for viewers who value historical accuracy and insightful learning. Our short videos, ranging from 30 seconds to a minute and a half, make complex subjects easy to grasp in no time. Covering everything from historical events to contemporary processes and entertainment, “The Knowledge” bridges the past with the present. In a world where information is abundant yet often misused, our series aims to guide you through the noise, preserving vital knowledge and truths that shape our lives today. Perfect for curious minds eager to discover the ‘why’ and ‘how’ of everything around us. Subscribe and join in as we explore the facts that matter.  https://stmdailynews.com/the-knowledge/

Forgotten Genius Fridays

https://stmdailynews.com/the-knowledge-2/forgotten-genius-fridays/

🧠 Forgotten Genius Fridays

A Short-Form Series from The Knowledge by STM Daily News

Every Friday, STM Daily News shines a light on brilliant minds history overlooked.

Advertisement
Get More From A Face Cleanser And Spa-like Massage

Forgotten Genius Fridays is a weekly collection of short videos and articles dedicated to inventors, innovators, scientists, and creators whose impact changed the world—but whose names were often left out of the textbooks.

From life-saving inventions and cultural breakthroughs to game-changing ideas buried by bias, our series digs up the truth behind the minds that mattered.

Each episode of The Knowledge runs 30–90 seconds, designed for curious minds on the go—perfect for YouTube Shorts, TikTok, Reels, and quick reads.

Because remembering these stories isn’t just about the past—it’s about restoring credit where it’s long overdue.

 🔔 New episodes every Friday

📺 Watch now at: stmdailynews.com/the-knowledge

 🧠 Now you know.  

Author

  • Rod Washington

    Rod: A creative force, blending words, images, and flavors. Blogger, writer, filmmaker, and photographer. Cooking enthusiast with a sci-fi vision. Passionate about his upcoming series and dedicated to TNC Network. Partnered with Rebecca Washington for a shared journey of love and art. View all posts


Discover more from Daily News

Subscribe to get the latest posts sent to your email.

Continue Reading

The Knowledge

Beneath the Waves: The Global Push to Build Undersea Railways

Undersea railways are transforming transportation, turning oceans from barriers into gateways. Proven by tunnels like the Channel and Seikan, these innovations offer cleaner, reliable connections for passengers and freight. Ongoing projects in China and Europe, alongside future proposals, signal a new era of global mobility beneath the waves.

Published

on

Train traveling through underwater tunnel
Trains beneath the ocean are no longer science fiction—they’re already in operation.

For most of modern history, oceans have acted as natural barriers—dividing nations, slowing trade, and shaping how cities grow. But beneath the waves, a quiet transportation revolution is underway. Infrastructure once limited by geography is now being reimagined through undersea railways.

Undersea rail tunnels—like the Channel Tunnel and Japan’s Seikan Tunnel—proved decades ago that trains could reliably travel beneath the ocean floor. Today, new projects are expanding that vision even further.

Around the world, engineers and governments are investing in undersea railways—tunnels that allow high-speed trains to travel beneath oceans and seas. Once considered science fiction, these projects are now operational, under construction, or actively being planned.

image 3

Undersea Rail Is Already a Reality

Japan’s Seikan Tunnel and the Channel Tunnel between the United Kingdom and France proved decades ago that undersea railways are not only possible, but reliable. These tunnels carry passengers and freight beneath the sea every day, reshaping regional connectivity.

Undersea railways are cleaner than short-haul flights, more resilient than bridges, and capable of lasting more than a century. As climate pressures and congestion increase, rail beneath the sea is emerging as a practical solution for future mobility.

What’s Being Built Right Now

China is currently constructing the Jintang Undersea Railway Tunnel as part of the Ningbo–Zhoushan high-speed rail line, while Europe’s Fehmarnbelt Fixed Link will soon connect Denmark and Germany beneath the Baltic Sea. These projects highlight how transportation and technology are converging to solve modern mobility challenges.

The Mega-Projects Still on the Drawing Board

Looking ahead, proposals such as the Helsinki–Tallinn Tunnel and the long-studied Strait of Gibraltar rail tunnel could reshape global affairs by linking regions—and even continents—once separated by water.

Why Undersea Rail Matters

The future of transportation may not rise above the ocean—but run quietly beneath it.


Discover more from Daily News

Subscribe to get the latest posts sent to your email.

Continue Reading

child education

Special Education Is Turning to AI to Fill Staffing Gaps—But Privacy and Bias Risks Remain

With special education staffing shortages worsening, schools are using AI to draft IEPs, support training, and assist assessments. Experts warn the benefits come with major risks—privacy, bias, and trust.

Published

on

Seth King, University of Iowa

With special education staffing shortages worsening, schools are using AI to draft IEPs, support training, and assist assessments. Experts warn the benefits come with major risks—privacy, bias, and trust.
Adobe Stock

In special education in the U.S., funding is scarce and personnel shortages are pervasive, leaving many school districts struggling to hire qualified and willing practitioners.

Amid these long-standing challenges, there is rising interest in using artificial intelligence tools to help close some of the gaps that districts currently face and lower labor costs.

Over 7 million children receive federally funded entitlements under the Individuals with Disabilities Education Act, which guarantees students access to instruction tailored to their unique physical and psychological needs, as well as legal processes that allow families to negotiate support. Special education involves a range of professionals, including rehabilitation specialists, speech-language pathologists and classroom teaching assistants. But these specialists are in short supply, despite the proven need for their services.

As an associate professor in special education who works with AI, I see its potential and its pitfalls. While AI systems may be able to reduce administrative burdens, deliver expert guidance and help overwhelmed professionals manage their caseloads, they can also present ethical challenges – ranging from machine bias to broader issues of trust in automated systems. They also risk amplifying existing problems with how special ed services are delivered.

Yet some in the field are opting to test out AI tools, rather than waiting for a perfect solution.

A faster IEP, but how individualized?

AI is already shaping special education planning, personnel preparation and assessment.

One example is the individualized education program, or IEP, the primary instrument for guiding which services a child receives. An IEP draws on a range of assessments and other data to describe a child’s strengths, determine their needs and set measurable goals. Every part of this process depends on trained professionals.

But persistent workforce shortages mean districts often struggle to complete assessments, update plans and integrate input from parents. Most districts develop IEPs using software that requires practitioners to choose from a generalized set of rote responses or options, leading to a level of standardization that can fail to meet a child’s true individual needs.

Preliminary research has shown that large language models such as ChatGPT can be adept at generating key special education documents such as IEPs by drawing on multiple data sources, including information from students and families. Chatbots that can quickly craft IEPs could potentially help special education practitioners better meet the needs of individual children and their families. Some professional organizations in special education have even encouraged educators to use AI for documents such as lesson plans.

Training and diagnosing disabilities

There is also potential for AI systems to help support professional training and development. My own work on personnel development combines several AI applications with virtual reality to enable practitioners to rehearse instructional routines before working directly with children. Here, AI can function as a practical extension of existing training models, offering repeated practice and structured support in ways that are difficult to sustain with limited personnel.

Advertisement
Get More From A Face Cleanser And Spa-like Massage

Some districts have begun using AI for assessments, which can involve a range of academic, cognitive and medical evaluations. AI applications that pair automatic speech recognition and language processing are now being employed in computer-mediated oral reading assessments to score tests of student reading ability.

Practitioners often struggle to make sense of the volume of data that schools collect. AI-driven machine learning tools also can help here, by identifying patterns that may not be immediately visible to educators for evaluation or instructional decision-making. Such support may be especially useful in diagnosing disabilities such as autism or learning disabilities, where masking, variable presentation and incomplete histories can make interpretation difficult. My ongoing research shows that current AI can make predictions based on data likely to be available in some districts.

Privacy and trust concerns

There are serious ethical – and practical – questions about these AI-supported interventions, ranging from risks to students’ privacy to machine bias and deeper issues tied to family trust. Some hinge on the question of whether or not AI systems can deliver services that truly comply with existing law.

The Individuals with Disabilities Education Act requires nondiscriminatory methods of evaluating disabilities to avoid inappropriately identifying students for services or neglecting to serve those who qualify. And the Family Educational Rights and Privacy Act explicitly protects students’ data privacy and the rights of parents to access and hold their children’s data.

What happens if an AI system uses biased data or methods to generate a recommendation for a child? What if a child’s data is misused or leaked by an AI system? Using AI systems to perform some of the functions described above puts families in a position where they are expected to put their faith not only in their school district and its special education personnel, but also in commercial AI systems, the inner workings of which are largely inscrutable.

These ethical qualms are hardly unique to special ed; many have been raised in other fields and addressed by early-adopters. For example, while automatic speech recognition, or ASR, systems have struggled to accurately assess accented English, many vendors now train their systems to accommodate specific ethnic and regional accents.

But ongoing research work suggests that some ASR systems are limited in their capacity to accommodate speech differences associated with disabilities, account for classroom noise, and distinguish between different voices. While these issues may be addressed through technical improvement in the future, they are consequential at present.

Embedded bias

At first glance, machine learning models might appear to improve on traditional clinical decision-making. Yet AI models must be trained on existing data, meaning their decisions may continue to reflect long-standing biases in how disabilities have been identified.

Indeed, research has shown that AI systems are routinely hobbled by biases within both training data and system design. AI models can also introduce new biases, either by missing subtle information revealed during in-person evaluations or by overrepresenting characteristics of groups included in the training data.

Such concerns, defenders might argue, are addressed by safeguards already embedded in federal law. Families have considerable latitude in what they agree to, and can opt for alternatives, provided they are aware they can direct the IEP process.

Advertisement
Get More From A Face Cleanser And Spa-like Massage

By a similar token, using AI tools to build IEPs or lessons may seem like an obvious improvement over underdeveloped or perfunctory plans. Yet true individualization would require feeding protected data into large language models, which could violate privacy regulations. And while AI applications can readily produce better-looking IEPs and other paperwork, this does not necessarily result in improved services.

Filling the gap

Indeed, it is not yet clear whether AI provides a standard of care equivalent to the high-quality, conventional treatment to which children with disabilities are entitled under federal law.

The Supreme Court in 2017 rejected the notion that the Individuals with Disabilities Education Act merely entitles students to trivial, “de minimis” progress, which weakens one of the primary rationales for pursuing AI – that it can meet a minimum standard of care and practice. And since AI really has not been empirically evaluated at scale, it has not been proved that it adequately meets the low bar of simply improving beyond the flawed status quo.

But this does not change the reality of limited resources. For better or worse, AI is already being used to fill the gap between what the law requires and what the system actually provides.

Seth King, Associate Profess of Special Education, University of Iowa

This article is republished from The Conversation under a Creative Commons license. Read the original article.


Discover more from Daily News

Subscribe to get the latest posts sent to your email.

Continue Reading

Trending