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What Angelenos can learn from the Maui Wildfire Exposure health survey.

After a week and a half of unimaginable destruction, Los Angeles is at last beginning to look toward its recovery from the Palisades and Eaton fires. Traversing that stage will take years, not only because of the significant economic and political implications of the fires, but also because of what they will mean for the health and well-being of the thousands of residents who live in or near the burn zones.
Los Angeles isn’t navigating the crisis alone, though. In the wake of the deadly 2023 Maui wildfire, researchers at the University of Hawaii launched the Maui Wildfire Exposure Study, a multi-year effort to track the disaster’s physical and mental health impacts on residents. Though the demographics of West Maui differ greatly from those of Pacific Palisades or Altadena — two of the most affluent zip codes in the country — California public officials, medical professionals, and wildfire survivors can still learn from the ongoing work of the MauiWES.
To that end, I spoke yesterday with Ruben Juarez, one of the study’s lead researchers. Our conversation has been edited and condensed for clarity.
What is the Maui Wildfire Exposure Study?
The Maui Wildfire Exposure Study follows a comprehensive cohort of people affected by the 2023 fires. We collected data six months after the fire, and typically, we’re looking for the long-term effects. For 60% of the individuals who came to the study, it was their first health check since the fires.
It is a pretty interesting population: They’re underserved and typically lack access to health care. We found three main trends: The first was mental and physical health issues. Access to care was a big issue in Hawaii, and I’m hoping that’s not going to be the case in California, but it definitely was here. Housing, job, and food insecurity were other big issues, as were the social impacts.
What have you learned about the mental and physical health of people exposed to the Maui wildfires?
Pre-wildfire we knew that the rate of depression symptoms in the Maui population was about 30%. Post-wildfire, we’re seeing more like 52%, so more than one in two participants in the study were showing depression symptoms. Low self-esteem was another issue. Something that was really worrisome was suicidal ideation: Pre-wildfire, it was less than 1%; post-wildfire, at least for the people in the cohort, it was about 4% of the population. That’s more than a four-time increase.
The second issue is physical health: Nearly half of the participants reported worse health since the fires. We saw respiratory issues, such as coughing, wheezing, difficulty breathing, and also skin and eye irritation, fatigue, and weakness. We’re seeing that about 74% of the participants are facing a heightened risk of cardiovascular disease. We also performed a lung check using spirometry and oscillometry breathing. Based on the spirometry measure, 60% of participants may have poor lung health, and 40% may have mild to severe lung obstruction. We believe this is associated with the exposure to ash and the personal protective equipment individuals wore when they returned to the fire site.
We’ve written a lot about the dangers of wildfire smoke at Heatmap, but I think people are less aware of the risks of wildfire ash. Could you say more?
It’s really toxic. People need to take care of themselves. There are the harmful substances you’d expect in ash: lead, arsenic, asbestos — those are poisons.
Why was our population in Lahaina affected by this? Because they went back to the burned homes and did not wear any PPE. To me, that was crazy. The county said that wearing PPE was a voluntary decision, and that was a mistake. And PPE is not just a mask: you really need eye protection, gloves, footwear, and long clothing, because the ash is really toxic.
Even in small amounts, the poisons in ash can harm the lungs and the heart, and there are long-term effects, including cancer, which is one of the things we’re trying to prevent. In the case of Hawaii, for the initial batch of 767 individuals in the study, we did a heavy metal analysis — a comprehensive panel of 32 of the most expected heavy metals. We already knew that five of the most common heavy metals were found in ash present in Hawaii: arsenic, lead, antimony, copper, and cobalt. We learned that 20% of participants affected by the fires in our cohort were showing an elevated level of at least one of these heavy metals, which is not something that you would expect. We don’t want these things in our bodies at any level. People must know that these things are harmful and they need to take care of their health.
And that’s all just from people returning to their homes and sifting through the ash? Or can ash blow into an area that didn’t burn and affect people that way, as well?
Many participants were uneducated about the harmful effects ash has, especially when it has contact with your skin. But you should also avoid breathing or swallowing soot and ash at any cost. The effects were seen in individuals who had direct contact at a site or were indirectly exposed through smoke or blowing winds — but the majority was direct contact.
That’s so scary.
Not everything was bad news. We found some exciting ways to potentially address some of these issues. For instance, resiliency was at the top of the minds of many participants in the study: “How can I be resilient? How can I survive this catastrophe?”
We also found that lower-income individuals trust and use community organizations more than government services, like federal, state, and county agencies. This information could potentially help us intervene, especially when considering underserved populations like immigrant populations. They just don’t trust the government. Addressing issues through community organizations on the ground was extremely helpful because it allowed people to access the services they needed.
Another thing that we noticed that was super helpful was that people who maintain strong relationships with family and friends experience better health outcomes. Social isolation after a wildfire was really bad, especially for mental health problems. Individuals who are more connected with their friends, family, or are doing something in their community volunteering tend to have better health outcomes, particularly in terms of depression.
How close do you need to have been to a wildfire to experience these effects?
Individuals whose homes were on the perimeter of the burn area experienced more physical symptoms, worse quality of life, and worse mental health. But that doesn’t mean that if your house doesn’t burn, you will not experience any of the symptoms. Even if you didn’t go to a contaminated site, there was all the smoke over the city, and you’re exposed to that. Individuals who are not directly affected can be indirectly affected — at a lower rate, of course, as you’d expect.
Many of the mental health impacts you described were related to things like housing, job, or food insecurity, as well as the lack of access to healthcare resources following a fire. Would you expect mental health impacts to not be as bad in L.A., since it was a more affluent area that burned?
Yes. In fact, coincidentally, one of our scientific advisory board members is a resident of L.A., and he’s been saying that he doesn’t expect the health effects to be as bad in L.A. as they were in Maui because the shortage of doctors is not as big. Also, the type of demographic that is being affected is more affluent.
Having said that, in Hawaii, we had the advantage of winds that blew smoke and soot away. I was reading reports that in L.A., there were no winds, and the smoke was just staying there. In that case, the effects in terms of pulmonary health won’t just be the people directly affected, but the whole city.
What would you want emergency managers and medical professionals in Los Angeles to know about your study as they address the impacts of these fires?
First, we must emphasize to people that this is not a forest fire; houses are burning, full of toxic substances. People need to know that if they return to the burn zone, they need to take care of their health and ensure they are wearing PPE. We need to conduct many communication campaigns around this.
The second thing is, don’t underestimate the power of community and community organizations, especially in L.A., where there are many immigrant populations. Community organizations should be used to provide information because people don’t trust the government or FEMA officials.
The third thing I would emphasize is that after a disaster, when people struggle with housing, job, and food insecurity, their health becomes a lower priority. This is understandable, but unfortunately, neglecting your health at this time can worsen the long-term effects. It’s really important that we emphasize to individuals that even if you don’t have a house or a job right now, you need to take care of your health.
An example of this is in the aftermath of 9/11; years later, more lives have been lost due to exposure to environmental hazards than the disaster itself. If we don’t intervene early on, things can get really bad. That’s what we are trying to do: prevent those long-term effects from happening.
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Wildfires in France and Spain — and a dire El Niño forecast — point to another era of public attention on disaster.
Wildfires and the Return of Climate Politics
Enormous wildfires are still burning in France and Spain. “We're facing a completely unprecedented fire,” French President Emmanuel Macron said on Monday, comparing the situation to World War II. The main fire in Gironde, a southwestern department along the Atlantic coast, have consumed more than 100,000 acres and forced roughly 200,000 people to evacuate.
There’s little sign the fires are under control in either country. In France, the blazes created a pyrocumulonimbus cloud — a towering, thundering “fire storm” that sometimes forms in the western United States but is not often observed in western Europe. Some fires have come within several miles of Bordeaux, the country’s sixth-largest metropolitan area and a longtime center of the wine industry. In Spain, enormous wildfires near Madrid, Ávila, and Toledo have killed one and displaced roughly another 79,000 people.
Firefighters are working fast, in part because a heatwave is forecast for the continent later this week. But of course it is hot — it is high summer in the Northern Hemisphere, and we are having a particularly hot year. 2026 now looks likely to be the world’s second-warmest year ever, and it has a better than one-third chance of being the warmest.
In the near term, expect more climate-addled disasters. The Pacific Ocean has slipped into its El Niño phase, which will likely spin off more extreme storms, droughts, heat waves, and wildfires. Recent modeling suggests it could be the most intense El Niño ever measured. Writing for his newsletter “The Climate Brink,” the climate researcher (and Heatmap contributor) Zeke Hausfather recently warned: “It looks like this year’s El Niño is not only very likely to be the strongest event since reliable records began — it may end up the strongest by a truly mind-blowing margin.”
How do we know this next El Niño will be bad? The most intense El Niño on record occurred from late 2015 to 2016, when sea surface temperatures in a benchmark region of the Pacific Ocean were 2.75 degrees Celsius warmer than normal. (That’s nearly 5 degrees Fahrenheit.) Those searing sea temperatures released huge amounts of heat into the atmosphere and eventually made 2016 the warmest year ever recorded. Today, a decade later, 2016 remains the fourth warmest year on record, coming in only under 2024, 2023, and 2025, per NOAA data.
But as Zeke writes, the middle 80% of modeled outcomes for this year’s El Niño are already projected to match or exceed that 2016 anomaly. The median forecast for this year’s event, in other words, would shatter the previous record. “The models are forecasting something outside the envelope of anything we have ever observed,” he writes. The National Weather Service agrees that there is an 81% chance of an event forming “that would rank among the largest El Niño events in the historical record going back to 1950,” and it says odds are better than 97% that the anomaly will stick around through spring 2027.
Scientists and activists once hoped that when global warming’s effects became unignorable, the public would take action. But disasters haven’t produced durable climate concern, and public attention has dissipated with every news cycle — and become ever more pessimistic. There are moments, however, when successive extremes can keep climate change more prominently in the public conversation. The years that followed the last mega-El Niño in 2016 made up one such period. If we are headed for another now, then experts should be ready with ideas not only for slowing and reversing the growth of heat-trapping emissions, but also for adapting our societies and infrastructure for our warming world. It’s clear we are going to need them.
This will be a big week for understanding the U.S. energy economy’s most important trend. A handful of tech companies driving the artificial intelligence boom — namely, Microsoft, Meta and Amazon — will report their quarterly earnings on Wednesday and Thursday. These companies are behind some of the country’s largest AI data center projects and therefore some of its most sizable planned power plants — clean and otherwise.
Last week, when Alphabet boosted its capital expenditure for this year by another $15 billion, the market rebelled and sent its shares tumbling. If investors’ interest in financing mega-scale data center projects is waning, then it could affect the electricity economy for years to come. In any case, we’ll know more soon. Rivian will also report its earnings this week.
Can AI help emergency managers make faster decisions when every second counts?
Meteorologists had nothing polite to say about Tropical Storm Bertha. The “weak, disorganized, and lopsided” system made initial landfall in Louisiana last week as a “hot, sheared mess,” one that forecasters doubted would reach Texas with much oomph at all. Still, the Galveston County Consolidated Drainage District — the local flood mitigation and drainage management entity for the state’s most flood-prone county — had stood at the ready, posting updates on the storm’s progress to its Facebook feed in the lead-up.
There had been action behind the scenes, too. Since this spring, the county has relied on a new “AI-powered flood warning solution” pilot program to help local administrators identify the gaps in their understanding of the county’s flood risk and monitor rising water levels in real time. In a crisis, a chatbot could even advise them on when to issue an evacuation order.
“Imagine you’re an operator and you have to tell people to leave their homes because of floods coming in,” Todd Barr, the CEO of Axonis Decision Intelligence, which has partnered with the smart water-level sensor company Simplicity Integration in Texas’ Galveston County, told me. Axonis provides AI-assisted decision-making tools to clients in a number of time-sensitive industries, and in every case, “You want a paper trail of the data you used to make the decision — the reasoning and the model you used — and our platform does all of that,” Barr went on.
Issuing evacuation notices is a famously thorny business, and one that has resulted in high-profile and high-casualty failures, including in the Paradise, California, and Maui wildfires. Particularly noteworthy were the 2025 Kerr County floods that killed more than 100 people in Texas’ Hill Country after local officials took 90 minutes to send phone alerts once they became aware of the rising river.
In many cases, particularly in more rural counties, the teams making the evacuation decisions are small and lack sufficient training not only on when to make such a call, but even on how to word it. “The people who are put in the position of issuing the messages are doing 20 other things at the same time,” Jeannette Sutton, a researcher at the University at Albany’s Emergency and Risk Communication Message Testing Lab, told me when I reported on evacuation notices after the Los Angeles fires.
As for Galveston, “100%” of the buildings on the densely populated island are at flood risk, with modeling suggesting a worst-case-scenario hurricane could produce 26 feet of storm surge. Much of the city’s stormwater infrastructure additionally predates modern climate-change-intensified rainfall probabilities, with the district in the midst of a $54 million drainage project aimed at mitigating future flooding by building a pump station and enlarging sewer lines.
As part of the region’s ongoing resiliency work, the Galveston County Consolidated Drainage District installed seven of Simplicity’s water-level sensors —the county’s first — at locations on the mainland. (There are no sensors currently on Galveston Island proper.) Simplicity’s Axonis-powered system, SI-Ai, also pulls in data from NOAA, the U.S. Geological Survey, and Houston’s Harris County to present residents of the entire region with a live flood-risk dashboard, complete with intuitive green-yellow-red indicators to evaluate their neighborhood hazard level in real time. Operators also have their own proprietary dashboard where they can monitor sensors and are prompted to ask questions to interpret readings and open “investigations” if something appears amiss.

“If I’m the municipality, I can say, ‘Okay, here’s what the forecast is looking like and what is potentially going to happen,” Alison Reese, the COO and co-founder of Simplicity, explained to me. “Then I could ask a question like, ‘Hey, what other locations in this watershed are at high risk for flash flooding?’”
That’s where Axonis, the artificial intelligence company, comes in. “Today you would have to be like, ‘Alright! Get the weather report, quick! What’s happening? What are the sensors saying? Okay Bill, now what’s the upstream sensor saying?’” Barr said, acting out the frantic scenario of trying to source data from multiple streams at once. “All of that is what we’re automating.” (Galveston’s Office of Emergency Management is “not the POC for the flood sensor operations,” a representative told me; the drainage district oversees the Axonis-Simplicity partnership, and did not return a request for an interview. The mayor of League City, a city 35-minutes north of Galveston that is also managed by the district, has publicly criticized the SI-Ai program as a separate sensor network that duplicates the work of the Harris County Flood Control District.)
Working from the assumption that emergency managers have to parse reams of data in short periods of time — flash floods can rise as much as 10 feet in an hour — Axonis provides what is essentially a chatbot for authorities to query potential decisions ranging from road closures to evacuation notices, based on feedback from the sensors. It stops short, however, of having a dialogue box that pops up to tell operators, EVACUATE THIS NEIGHBORHOOD NOW.
When Barr demoed the program to me, he had the tool configured to create a credit risk review memo for a would-be banking client. (Axonis also has customers in the banking and defense sectors.) The dashboard essentially functioned the same as it would for Galveston County, though, and his investigation returned the kind of simplified, emoji-studded one-sheet that users of large language model-powered AI interfaces would immediately recognize. In this case, the tool identified a “🔴Risk Alert CANDIDATE” — Barr said that would be a particular sensor, in the case of Galveston — and followed it with a summary and bullet-pointed sections breaking down “⚠️Credit Risk Indicators” and “💧Liquidity Position.” (In a screenshot of an example flood report for Simplicity, shared with me, those sections were replaced by “📍Site Location” and “💧Water Level — Last 72 Hours.” I wondered what else was possible: “🌊Historic hydraulic risk”? “💀Vulnerable Populations”? )

The system then takes operators through a four-step decision-making model based on the OODA Loop, a common workflow in military contexts that involves justifying actions through evidence-based observations. “We always keep a human in the loop on these things, at least today in 2026 — though who knows in two or three years,” Barr said. He clarified in a later conversation with me, though, that “Axonis and [AI] tools should never tell you to evacuate now. It should tell you the information you need to make that decision.”
That was a point Barr stressed numerous times during our conversation: That Axonis’ chatbot is intended as a brainstorming tool or sounding board, and one that keeps a careful paper trail, “cryptographically sealing” any eventual decisions for review and attestation later. I likened it to a police body camera, and Barr didn’t dispute the similarities. “It’s an accountability tool,” he told me.
Of course, that means the burden of decision-making still falls on potentially fallible humans. I worried in particular that by sharing the responsibility with AI, human operators might get lazy or fail to properly question a decision the program might be leading them toward, particularly in an instance of hallucinated data. To the latter point, Barr told me that this is part of what Axonis is designed to address. “You can’t just take the sensor data and throw it into Claude and be like, ‘Alright, go make a decision for me.’ You need to set guard rails,” he said.
As to the former point, Barr told me the chat includes a disclaimer reminding its users that AI can make mistakes, and that the company trains its customers on how LLM technology works. “At the end of the day, it’s a tool, not a decider,” he said, although he allowed that it might be used to automatically trigger warning lights, sirens, or barriers, such as closing a flooded roadway.
I also posed the concern about complacency to Ali Mostafavi, a professor who supervises the UrbanResilience.AL Lab at Texas A&M, which researches, among other things, how artificial intelligence might be utilized in emergency contexts. Mostafavi agreed that there is always a risk in cognitive outsourcing, but that there is a “counter-argument that is also valid — that without these technologies, we have seen what can happen. We had the catastrophic floods last year in Kerr County, and if a similar technology had existed back then, an automated system could have identified the flash flood, and many young children would be alive today.”
Still, Barr told me he isn’t aware of Axonis advising in an actual evacuation order yet. While it is operational, the predictive model remains untested against its highest-stakes use case: the extremes of a climate-changed world, where formerly unthinkable outcomes may be one storm away.
“The more we can stress-test these technologies in real operational settings and use that feedback loop to improve the technologies, the better,” Mostafavi said. “But that’s easier said than done, because to have a technology implemented in an operational setting it should already be stress-tested, right?”
Bertha, though, was not that reckoning; the gusty squalls blew through Galveston last week without even disturbing the dinner reservations at the marina. But although it was already back to 90 and sunny by Monday morning on the Texas Gulf, the drainage in Galveston County, as in many places around the country, remains outdated and easily overwhelmed. One day, inevitably, the water will come. Hopefully when it does, someone or something will be watching.
The large renewables developer changes tack “in response to federal energy objectives.”
Trump’s solar freeze is now so tough that at least one renewable energy developer has asked his administration to turn their permitting application into a data center and gas-fired power plant instead.
Renew Development HoldCo – an LLC created by Clearway Energy Group – wrote the Bureau of Land Management in April asking if they could amend their 2021 application to build the Amber solar project, a 500-megawatt solar project in the Nevada desert that would require building on federal land. Their requested change? “[T]o formally remove the proposed solar facility and replace it with the development of a proposed data center and natural gas facility,” according to a copy of the letter I obtained.
“This amendment is the result of a shift in our internal development priorities and an updated assessment of project timing, in order to better align with the goals of our Administration,” reads the letter, which is dated April 3 and signed by Clearway’s chief development officer John Woody. “The data center concept is in exploratory early stages and as such has a longer and more flexible development horizon, and we believe its schedule will better align with the Bureau’s current workload and staffing plans.”
Now, this swap is somewhat shocking but shouldn’t exactly be a surprise. Companies with federal energy leases are struggling to get their renewable projects permitted by a hostile Trump administration. We’ve already seen some offshore wind developers ditch their leases in favor of payouts and commitments to build more fossil infrastructure. Clearway Energy Group is owned by Global Infrastructure Partners and TotalEnergies, the latter of which struck such a deal in March.
But this does appear to represent an aberration for Clearway, one of the nation’s largest operators of renewable energy projects and whose marketing materials primarily focus on “clean energy.” Nearly all of the company’s portfolio is carbon-free power or energy storage generation sans a handful of “flexible generation” energy projects in California, according to an online map of their project pipeline. The company did not disclose in the documents I reviewed if the gas plant itself would power the data center, provide power to the wider grid, or both.
Candidly, I’ve been watching like a hawk to see if Trump’s chokehold on solar and wind permits would lead to more gas infrastructure and data centers on federal property instead. And companies are getting data center permits when they ask to swap out their solar farm for AI infrastructure. On Friday, I reported that a joint venture involving renewables developer Arevon and energy trader Bill Perkins got permission from BLM to switch an environmental permit tied to a solar farm for one allowing a new data center. Environmentalists plan to legally challenge BLM’s determination as they say it’s a test case for the future of federal land policy.
It’s unclear if Clearway would be the one to build and construct this hypothetical data center and power plant. I for one can’t find any evidence of Clearway developing data centers before. My best guess is that if they do move forward with this, it would look like the joint venture I covered on Friday, where Arevon distanced itself from the actual day-to-day operations of the development and a new firm specializing in data centers came in. But that’s just a hunch and there’s a saying about assumptions.
Nevertheless, Clearway is clearly handling the permitting side. Attached to the Clearway letter was an application also sent to BLM for constructing utility and telecommunications facilities on federal lands, a document technically known as an SF299. The application states Clearway considered using solar energy for the data center as well as using private land, but their alternative designs weren’t selected because they had “higher environmental and stakeholder conflicts.”
Also, in a section of the document requesting Clearway provide a “statement of need for the project,” the developer said it was submitting this proposal “in response to federal energy objectives” and specifically cited Trump’s Day 1 executive order which the company said “encourage[d] development of reliable energy projects on federal lands.”
I reached out to Clearway asking for more information on the letter and application. In response, the company claimed the solar project wasn’t being killed – it simply was moved to private land. They also declined to comment on the data center and gas project. Instead, I was provided a statement attributable to an unnamed spokesperson that “while we do not comment on any individual application while it moves through federal approval processes, we are pleased to be advancing more than 4 GW of solar and battery resources in Nevada on private and public lands and expect those projects to deliver tremendous economic benefits to the communities where they’re built.”
“Clearway values its strong working partnership with the BLM, its Southern Nevada office, and also with state and local interests in Nevada. Across all of these relationships, we continuously assess how best to develop and deliver infrastructure that meets needs and aligns with local and national policies and goals.”