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      A new sensor detects harmful “forever chemicals” in drinking water

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      MIT chemists have designed a sensor that detects tiny quantities of perfluoroalkyl and polyfluoroalkyl substances (PFAS) — chemicals found in food packaging, nonstick cookware, and many other consumer products.

      These compounds, also known as “forever chemicals” because they do not break down naturally, have been linked to a variety of harmful health effects, including cancer, reproductive problems, and disruption of the immune and endocrine systems.

      Using the new sensor technology, the researchers showed that they could detect PFAS levels as low as 200 parts per trillion in a water sample. The device they designed could offer a way for consumers to test their drinking water, and it could also be useful in industries that rely heavily on PFAS chemicals, including the manufacture of semiconductors and firefighting equipment.

      “There’s a real need for these sensing technologies. We’re stuck with these chemicals for a long time, so we need to be able to detect them and get rid of them,” says Timothy Swager, the John D. MacArthur Professor of Chemistry at MIT and the senior author of the study, which appears this week in the Proceedings of the National Academy of Sciences.

      Other authors of the paper are former MIT postdoc and lead author Sohyun Park and MIT graduate student Collette Gordon.

      Detecting PFAS

      Coatings containing PFAS chemicals are used in thousands of consumer products. In addition to nonstick coatings for cookware, they are also commonly used in water-repellent clothing, stain-resistant fabrics, grease-resistant pizza boxes, cosmetics, and firefighting foams.

      These fluorinated chemicals, which have been in widespread use since the 1950s, can be released into water, air, and soil, from factories, sewage treatment plants, and landfills. They have been found in drinking water sources in all 50 states.

      In 2023, the Environmental Protection Agency created an “advisory health limit” for two of the most hazardous PFAS chemicals, known as perfluorooctanoic acid (PFOA) and perfluorooctyl sulfonate (PFOS). These advisories call for a limit of 0.004 parts per trillion for PFOA and 0.02 parts per trillion for PFOS in drinking water.

      Currently, the only way that a consumer could determine if their drinking water contains PFAS is to send a water sample to a laboratory that performs mass spectrometry testing. However, this process takes several weeks and costs hundreds of dollars.

      To create a cheaper and faster way to test for PFAS, the MIT team designed a sensor based on lateral flow technology — the same approach used for rapid Covid-19 tests and pregnancy tests. Instead of a test strip coated with antibodies, the new sensor is embedded with a special polymer known as polyaniline, which can switch between semiconducting and conducting states when protons are added to the material.

      The researchers deposited these polymers onto a strip of nitrocellulose paper and coated them with a surfactant that can pull fluorocarbons such as PFAS out of a drop of water placed on the strip. When this happens, protons from the PFAS are drawn into the polyaniline and turn it into a conductor, reducing the electrical resistance of the material. This change in resistance, which can be measured precisely using electrodes and sent to an external device such as a smartphone, gives a quantitative measurement of how much PFAS is present.

      This approach works only with PFAS that are acidic, which includes two of the most harmful PFAS — PFOA and perfluorobutanoic acid (PFBA).

      A user-friendly system

      The current version of the sensor can detect concentrations as low as 200 parts per trillion for PFBA, and 400 parts per trillion for PFOA. This is not quite low enough to meet the current EPA guidelines, but the sensor uses only a fraction of a milliliter of water. The researchers are now working on a larger-scale device that would be able to filter about a liter of water through a membrane made of polyaniline, and they believe this approach should increase the sensitivity by more than a hundredfold, with the goal of meeting the very low EPA advisory levels.

      “We do envision a user-friendly, household system,” Swager says. “You can imagine putting in a liter of water, letting it go through the membrane, and you have a device that measures the change in resistance of the membrane.”

      Such a device could offer a less expensive, rapid alternative to current PFAS detection methods. If PFAS are detected in drinking water, there are commercially available filters that can be used on household drinking water to reduce those levels. The new testing approach could also be useful for factories that manufacture products with PFAS chemicals, so they could test whether the water used in their manufacturing process is safe to release into the environment.

      The research was funded by an MIT School of Science Fellowship to Gordon, a Bose Research Grant, and a Fulbright Fellowship to Park. More

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      in Environment

      MIT researchers remotely map crops, field by field

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      Crop maps help scientists and policymakers track global food supplies and estimate how they might shift with climate change and growing populations. But getting accurate maps of the types of crops that are grown from farm to farm often requires on-the-ground surveys that only a handful of countries have the resources to maintain.

      Now, MIT engineers have developed a method to quickly and accurately label and map crop types without requiring in-person assessments of every single farm. The team’s method uses a combination of Google Street View images, machine learning, and satellite data to automatically determine the crops grown throughout a region, from one fraction of an acre to the next. 

      The researchers used the technique to automatically generate the first nationwide crop map of Thailand — a smallholder country where small, independent farms make up the predominant form of agriculture. The team created a border-to-border map of Thailand’s four major crops — rice, cassava, sugarcane, and maize — and determined which of the four types was grown, at every 10 meters, and without gaps, across the entire country. The resulting map achieved an accuracy of 93 percent, which the researchers say is comparable to on-the-ground mapping efforts in high-income, big-farm countries.

      The team is applying their mapping technique to other countries such as India, where small farms sustain most of the population but the type of crops grown from farm to farm has historically been poorly recorded.

      “It’s a longstanding gap in knowledge about what is grown around the world,” says Sherrie Wang, the d’Arbeloff Career Development Assistant Professor in MIT’s Department of Mechanical Engineering, and the Institute for Data, Systems, and Society (IDSS). “The final goal is to understand agricultural outcomes like yield, and how to farm more sustainably. One of the key preliminary steps is to map what is even being grown — the more granularly you can map, the more questions you can answer.”

      Wang, along with MIT graduate student Jordi Laguarta Soler and Thomas Friedel of the agtech company PEAT GmbH, will present a paper detailing their mapping method later this month at the AAAI Conference on Artificial Intelligence.

      Ground truth

      Smallholder farms are often run by a single family or farmer, who subsist on the crops and livestock that they raise. It’s estimated that smallholder farms support two-thirds of the world’s rural population and produce 80 percent of the world’s food. Keeping tabs on what is grown and where is essential to tracking and forecasting food supplies around the world. But the majority of these small farms are in low to middle-income countries, where few resources are devoted to keeping track of individual farms’ crop types and yields.

      Crop mapping efforts are mainly carried out in high-income regions such as the United States and Europe, where government agricultural agencies oversee crop surveys and send assessors to farms to label crops from field to field. These “ground truth” labels are then fed into machine-learning models that make connections between the ground labels of actual crops and satellite signals of the same fields. They then label and map wider swaths of farmland that assessors don’t cover but that satellites automatically do.

      “What’s lacking in low- and middle-income countries is this ground label that we can associate with satellite signals,” Laguarta Soler says. “Getting these ground truths to train a model in the first place has been limited in most of the world.”

      The team realized that, while many developing countries do not have the resources to maintain crop surveys, they could potentially use another source of ground data: roadside imagery, captured by services such as Google Street View and Mapillary, which send cars throughout a region to take continuous 360-degree images with dashcams and rooftop cameras.

      In recent years, such services have been able to access low- and middle-income countries. While the goal of these services is not specifically to capture images of crops, the MIT team saw that they could search the roadside images to identify crops.

      Cropped image

      In their new study, the researchers worked with Google Street View (GSV) images taken throughout Thailand — a country that the service has recently imaged fairly thoroughly, and which consists predominantly of smallholder farms.

      Starting with over 200,000 GSV images randomly sampled across Thailand, the team filtered out images that depicted buildings, trees, and general vegetation. About 81,000 images were crop-related. They set aside 2,000 of these, which they sent to an agronomist, who determined and labeled each crop type by eye. They then trained a convolutional neural network to automatically generate crop labels for the other 79,000 images, using various training methods, including iNaturalist — a web-based crowdsourced  biodiversity database, and GPT-4V, a “multimodal large language model” that enables a user to input an image and ask the model to identify what the image is depicting. For each of the 81,000 images, the model generated a label of one of four crops that the image was likely depicting — rice, maize, sugarcane, or cassava.

      The researchers then paired each labeled image with the corresponding satellite data taken of the same location throughout a single growing season. These satellite data include measurements across multiple wavelengths, such as a location’s greenness and its reflectivity (which can be a sign of water). 

      “Each type of crop has a certain signature across these different bands, which changes throughout a growing season,” Laguarta Soler notes.

      The team trained a second model to make associations between a location’s satellite data and its corresponding crop label. They then used this model to process satellite data taken of the rest of the country, where crop labels were not generated or available. From the associations that the model learned, it then assigned crop labels across Thailand, generating a country-wide map of crop types, at a resolution of 10 square meters.

      This first-of-its-kind crop map included locations corresponding to the 2,000 GSV images that the researchers originally set aside, that were labeled by arborists. These human-labeled images were used to validate the map’s labels, and when the team looked to see whether the map’s labels matched the expert, “gold standard” labels, it did so 93 percent of the time.

      “In the U.S., we’re also looking at over 90 percent accuracy, whereas with previous work in India, we’ve only seen 75 percent because ground labels are limited,” Wang says. “Now we can create these labels in a cheap and automated way.”

      The researchers are moving to map crops across India, where roadside images via Google Street View and other services have recently become available.

      “There are over 150 million smallholder farmers in India,” Wang says. “India is covered in agriculture, almost wall-to-wall farms, but very small farms, and historically it’s been very difficult to create maps of India because there are very sparse ground labels.”

      The team is working to generate crop maps in India, which could be used to inform policies having to do with assessing and bolstering yields, as global temperatures and populations rise.

      “What would be interesting would be to create these maps over time,” Wang says. “Then you could start to see trends, and we can try to relate those things to anything like changes in climate and policies.” More

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      in Environment

      Study measures the psychological toll of wildfires

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      Wildfires in Southeast Asia significantly affect peoples’ moods, especially if the fires originate outside a person’s own country, according to a new study.

      The study, which measures sentiment by analyzing large amounts of social media data, helps show the psychological toll of wildfires that result in substantial air pollution, at a time when such fires are becoming a high-profile marker of climate change.  

      “It has a substantial negative impact on people’s subjective well-being,” says Siqi Zheng, an MIT professor and co-author of a new paper detailing the results. “This is a big effect.”

      The magnitude of the effect is about the same as another shift uncovered through large-scale studies of sentiment expressed online: When the weekend ends and the work week starts, people’s online postings reflect a sharp drop in mood. The new study finds that daily exposure to typical wildfire smoke levels in the region produces an equivalently large change in sentiment.

      “People feel anxious or sad when they have to go to work on Monday, and what we find with the fires is that this is, in fact, comparable to a Sunday-to-Monday sentiment drop,” says co-author Rui Du, a former MIT postdoct who is now an economist at Oklahoma State University.

      The paper, “Transboundary Vegetation Fire Smoke and Expressed Sentiment: Evidence from Twitter,” has been published online in the Journal of Environmental Economics and Management.

      The authors are Zheng, who is the STL Champion Professor of Urban and Real Estate Sustainability in the Center for Real Estate and the Department of Urban Studies and Planning at MIT; Du, an assistant professor of economics at Oklahoma State University’s Spears School of Business; Ajkel Mino, of the Department of Data Science and Knowledge Engineering at Maastricht University; and Jianghao Wang, of the Institute of Geographic Sciences and Natural Resources Research at the Chinese Academy of Sciences.

      The research is based on an examination of the events of 2019 in Southeast Asia, in which a huge series of Indonesian wildfires, seemingly related to climate change and deforestation for the palm oil industry, produced a massive amount of haze in the region. The air-quality problems affected seven countries: Brunei, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam.

      To conduct the study, the scholars produced a large-scale analysis of postings from 2019 on X (formerly known as Twitter) to sample public sentiment. The study involved 1,270,927 tweets from 378,300 users who agreed to have their locations made available. The researchers compiled the data with a web crawler program and multilingual natural language processing applications that review the content of tweets and rate them in affective terms based on the vocabulary used. They also used satellite data from NASA and NOAA to create a map of wildfires and haze over time, linking that to the social media data.

      Using this method creates an advantage that regular public-opinion polling does not have: It creates a measurement of mood that is effectively a real-time metric rather than an after-the-fact assessment. Moreover, substantial wind shifts in the region at the time in 2019 essentially randomize which countries were exposed to more haze at various points, making the results less likely to be influenced by other factors.

      The researchers also made a point to disentangle the sentiment change due to wildfire smoke and that due to other factors. After all, people experience mood changes all the time from various natural and socioeconomic events. Wildfires may be correlated with some of them, which makes it hard to tease out the singular effect of the smoke. By comparing only the difference in exposure to wildfire smoke, blown in by wind, within the same locations over time, this study is able to isolate the impact of local wildfire haze on mood, filtering out nonpollution influences.

      “What we are seeing from our estimates is really just the pure causal effect of the transboundary wildfire smoke,” Du says.

      The study also revealed that people living near international borders are much more likely to be upset when affected by wildfire smoke that comes from a neighboring country. When similar conditions originate in their own country, there is a considerably more muted reaction.

      “Notably, individuals do not seem to respond to domestically produced fire plumes,” the authors write in the paper. The small size of many countries in the region, coupled with a fire-prone climate, make this an ongoing source of concern, however.

      “In Southeast Asia this is really a big problem, with small countries clustered together,” Zheng observes.

      Zheng also co-authored a 2022 study using a related methodology to study the impact of the Covid-19 pandemic on the moods of residents in about 100 countries. In that case, the research showed that the global pandemic depressed sentiment about 4.7 times as much as the normal Sunday-to-Monday shift.

      “There was a huge toll of Covid on people’s sentiment, and while the impact of the wildfires was about one-fifth of Covid, that’s still quite large,” Du says.

      In policy terms, Zheng suggests that the global implications of cross-border smoke pollution could give countries a shared incentive to cooperate further. If one country’s fires become another country’s problem, they may all have reason to limit them. Scientists warn of a rising number of wildfires globally, fueled by climate change conditions in which more fires can proliferate, posing a persistent threat across societies.

      “If they don’t work on this collaboratively, it could be damaging to everyone,” Zheng says.

      The research at MIT was supported, in part, by the MIT Sustainable Urbanization Lab. Jianghao Wang was supported by the National Natural Science Foundation of China. More

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      in Environment

      Illustrating India’s complex environmental crises

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      Abhijit Banerjee, the Ford Foundation International Professor of Economics at MIT, and Sarnath Banerjee (no relation), an MIT Center for Art, Science, and Technology (CAST) visiting artist share a similar background, but have very different ways of thinking. Both were raised for a time in Kolkata before leaving India to pursue divergent careers, Abhijit as an economist who went on to win the 2019 Nobel Memorial Prize in Economic Sciences (an award he shares with MIT Professor Esther Duflo and Harvard University Professor Michael Kremer), and Sarnath as a visual artist and graphic novelist. 

      The two collaborated on a pair of short films, “The Land of Good Intentions” and “The Eternal Swamp,” that blend their expertise in a unique and captivating form. Each film addresses a particular environmental crisis facing present-day India by tracing its origins back through the centuries. The films are presented in a kind of lecture style, with Abhijit appearing as the narrator, unraveling historical details, as graphics by Sarnath visualize the story with an often wry and easy wit. The results apply logic and narrative coherence to problems with complex roots in the forces of nature, economics, and local culture. 

      “The Land of Good Intentions” explores the conditions and policies that led to mass protests by farmers, in Punjab and elsewhere, following the passage of farming legislation in September 2020. The film begins by providing historical context from multiple angles, including the significance of rice to regional culture, its growing conditions (which require a lot of water), the region’s climate (which produces very little), and previous government subsidies that led to its overproduction. The 2020 Farm Bills were intended to address rice overproduction and its consequences, including the depletion of Punjab’s groundwater supply, pollution from the burning of rice stalks, and a surplus going to waste. But farmers considered that they were being asked to shoulder the costs of a problem the government created. 

      “The arguments in the film don’t necessarily align with popular liberal arguments, but it gives subtler shape and layers to them,” Sarnath says. “That dialectical way of thinking is important to the liberal movement, which is driven by passion and a sense of justice. Abhijit is driven by factual analysis, which sometimes makes the argument more complex.”

      Their second film, “The Eternal Swamp,” addresses the crisis of flooding in Kolkata and its causes in the geographical and economic development of the city from the start. Because Kolkata was built on very wet land, and real estate has long been one of the only viable industries in the city, it has been developed without regard to proper drainage in a climate that produces more rainfall than it can handle. There is a pervading sense that Kolkata will eventually be entirely below water.

      “It was a good collaboration from the beginning,” Sarnath says of working with Abhijit on the CAST Visiting Artist project, a process which began just before Abhijit was awarded the Nobel Prize in 2019 and continued through the pandemic. “Both of us work on instinct, but the way he shapes an argument is very different from me,” Sarnath says. “My work does not follow a linear approach to telling a story; it’s fragmentary, driven by mood and emotion more than narrative, like composing a piece of music.”

      Since they first met at a literary conference years ago, Abhijit and Sarnath have been close friends and intellectual sparring partners. Though Sarnath is based in Berlin and Abhijit in Boston, the two often cross paths in different locales and have long, ambling discussions that traverse a wide array of topics. “We spend a lot of time walking together wherever we find ourselves, whether it’s down the Longfellow Bridge in Boston or through Delhi or Kolkata,” Sarnath says. The idea for this project was born out of such conversations, in response to pressing events in their home country. 

      Abhijit wrote a proposal to MIT CAST, and the questions they received through the process helped them further shape the project. “It’s important, when you have the luxury, just to spend time together. Thanks to MIT, we managed to do that across continents,” Sarnath says of their creative process. “It’s more than just telling a story; Abhijit unpacked what was in his head, and I drew and wrote a bit as well,” Sarnath says. And they worked with the editor and animator Niusha Ramzani, whom Sarnath says lent an Iranian aesthetic to the film’s animations. 

      As for the format of the films, they wanted to capture the sense of a serene Bengali afternoon, with Abhijit seated in his home in Kolkata speaking in a relaxed tone. “We wanted it to be a bit like a Royal Society lecture,” Sarnath says, somewhat like a TED Talk but more personable and intimate. The aim was to make their complicated subjects more easily comprehensible, through the language of Abhijit’s narration and with the help of visual metaphors. Still, they did not want to sacrifice complexity.

      “Economists are fabulists,” says Abhijit Banerjee. “We tell stories, simple stories, but that tends to get obscured in the telling, often because we like to be very careful about not overstating our case. Irony and the kind of playful humor that Sarnath brings to narration seemed to offer a different way to avoid being too emphatic, while allowing the story to be told in a way that it reaches a much larger audience. What is brilliant about Sarnath’s work is the play between reliable and the unreliable — the readers are happy to be misdirected because they know that it will ultimately lead them where they want to be. I was hoping we could bring a little of that into economics.” 

      “You have to emancipate yourself from any one definitive answer,” Sarnath Banerjee says, describing Abhijit’s expansive way of thinking, through which he follows multiple thought processes to their logical conclusions. The result allows for ambiguity and contradiction, though the pathways of thinking are clear. The films illustrate the situations facing farmers in Punjab and the waterlogged streets of Kolkata by tracing their roots and examining the history of cause and effect. The results provide clarity, but no simple answers.

      The process was an enriching one for both of them, the kind of advancement in understanding that can only come in dialogue. “With each collaboration, you learn, and learning to me is an artistic form,” Sarnath says. “We are always learning.” More

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      in Energy

      Reflecting on COP28 — and humanity’s progress toward meeting global climate goals

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      With 85,000 delegates, the 2023 United Nations climate change conference, known as COP28, was the largest U.N. climate conference in history. It was held at the end of the hottest year in recorded history. And after 12 days of negotiations, from Nov. 30 to Dec. 12, it produced a decision that included, for the first time, language calling for “transitioning away from fossil fuels,” though it stopped short of calling for their complete phase-out.

      U.N. Climate Change Executive Secretary Simon Stiell said the outcome in Dubai, United Arab Emirates, COP28’s host city, signaled “the beginning of the end” of the fossil fuel era. 

      COP stands for “conference of the parties” to the U.N. Framework Convention on Climate Change, held this year for the 28th time. Through the negotiations — and the immense conference and expo that takes place alongside them — a delegation of faculty, students, and staff from MIT was in Dubai to observe the negotiations, present new climate technologies, speak on panels, network, and conduct research.

      On Jan. 17, the MIT Center for International Studies (CIS) hosted a panel discussion with MIT delegates who shared their reflections on the experience. Asking what’s going on at COP is “like saying, ‘What’s going on in the city of Boston today?’” quipped Evan Lieberman, the Total Professor of Political Science and Contemporary Africa, director of CIS, and faculty director of MIT International Science and Technology Initiatives (MISTI). “The value added that all of us can provide for the MIT community is [to share] what we saw firsthand and how we experienced it.” 

      Phase-out, phase down, transition away?

      In the first week of COP28, over 100 countries issued a joint statement that included a call for “the global phase out of unabated fossil fuels.” The question of whether the COP28 decision — dubbed the “UAE Consensus” — would include this phase-out language animated much of the discussion in the days and weeks leading up to COP28. 

      Ultimately, the decision called for “transitioning away from fossil fuels in energy systems, in a just, orderly and equitable manner.” It also called for “accelerating efforts towards the phase down of unabated coal power,” referring to the combustion of coal without efforts to capture and store its emissions.

      In Dubai to observe the negotiations, graduate student Alessandra Fabbri said she was “confronted” by the degree to which semantic differences could impose significant ramifications — for example, when negotiators referred to a “just transition,” or to “developed vs. developing nations” — particularly where evolution in recent scholarship has produced more nuanced understandings of the terms.

      COP28 also marked the conclusion of the first global stocktake, a core component of the 2015 Paris Agreement. The effort every five years to assess the world’s progress in responding to climate change is intended as a basis for encouraging countries to strengthen their climate goals over time, a process often referred to as the Paris Agreement’s “ratchet mechanism.” 

      The technical report of the first global stocktake, published in September 2023, found that while the world has taken actions that have reduced forecasts of future warming, they are not sufficient to meet the goals of the Paris Agreement, which aims to limit global average temperature increase to “well below” 2 degrees Celsius, while pursuing efforts to limit the increase to 1.5 degrees above pre-industrial levels.

      “Despite minor, punctual advancements in climate action, parties are far from being on track to meet the long-term goals of the Paris Agreement,” said Fabbri, a graduate student in the School of Architecture and Planning and a fellow in MIT’s Leventhal Center for Advanced Urbanism. Citing a number of persistent challenges, including some parties’ fears that rapid economic transition may create or exacerbate vulnerabilities, she added, “There is a noted lack of accountability among certain countries in adhering to their commitments and responsibilities under international climate agreements.” 

      Climate and trade

      COP28 was the first climate summit to formally acknowledge the importance of international trade by featuring an official “Trade Day” on Dec. 4. Internationally traded goods account for about a quarter of global greenhouse gas emissions, raising complex questions of accountability and concerns about offshoring of industrial manufacturing, a phenomenon known as “emissions leakage.” Addressing the nexus of climate and trade is therefore considered essential for successful decarbonization, and a growing number of countries are leveraging trade policies — such as carbon fees applied to imported goods — to secure climate benefits. 

      Members of the MIT delegation participated in several related activities, sharing research and informing decision-makers. Catherine Wolfram, professor of applied economics in the MIT Sloan School of Management, and Michael Mehling, deputy director of the MIT Center for Energy and Environmental Policy Research (CEEPR), presented options for international cooperation on such trade policies at side events, including ones hosted by the World Trade Organization and European Parliament. 

      “While COPs are often criticized for highlighting statements that don’t have any bite, they are also tremendous opportunities to get people from around the world who care about climate and think deeply about these issues in one place,” said Wolfram.

      Climate and health

      For the first time in the conference’s nearly 30-year history, COP28 included a thematic “Health Day” that featured talks on the relationship between climate and health. Researchers from MIT’s Abdul Latif Jameel Poverty Action Lab (J-PAL) have been testing policy solutions in this area for years through research funds such as the King Climate Action Initiative (K-CAI). 

      “An important but often-neglected area where climate action can lead to improved health is combating air pollution,” said Andre Zollinger, K-CAI’s senior policy manager. “COP28’s announcement on reducing methane leaks is an important step because action in this area could translate to relatively quick, cost-effective ways to curb climate change while improving air quality, especially for people living near these industrial sites.” K-CAI has an ongoing project in Colorado investigating the use of machine learning to predict leaks and improve the framework for regulating industrial methane emissions, Zollinger noted.

      This was J-PAL’s third time at COP, which Zollinger said typically presented an opportunity for researchers to share new findings and analysis with government partners, nongovernmental organizations, and companies. This year, he said, “We have [also] been working with negotiators in the [Middle East and North Africa] region in the months preceding COP to plug them into the latest evidence on water conservation, on energy access, on different challenging areas of adaptation that could be useful for them during the conference.”

      Sharing knowledge, learning from others

      MIT student Runako Gentles described COP28 as a “springboard” to greater impact. A senior from Jamaica studying civil and environmental engineering, Gentles said it was exciting to introduce himself as an MIT undergraduate to U.N. employees and Jamaican delegates in Dubai. “There’s a lot of talk on mitigation and cutting carbon emissions, but there needs to be much more going into climate adaptation, especially for small-island developing states like those in the Caribbean,” he said. “One of the things I can do, while I still try to finish my degree, is communicate — get the story out there to raise awareness.”

      At an official side event at COP28 hosted by MIT, Pennsylvania State University, and the American Geophysical Union, Maria T. Zuber, MIT’s vice president for research, stressed the importance of opportunities to share knowledge and learn from people around the world.

      “The reason this two-way learning is so important for us is simple: The ideas we come up with in a university setting, whether they’re technological or policy or any other kind of innovations — they only matter in the practical world if they can be put to good use and scaled up,” said Zuber. “And the only way we can know that our work has practical relevance for addressing climate is by working hand-in-hand with communities, industries, governments, and others.”

      Marcela Angel, research program director at the Environmental Solutions Initiative, and Sergey Paltsev, deputy director of MIT’s Joint Program on the Science and Policy of Global Change, also spoke at the event, which was moderated by Bethany Patten, director of policy and engagement for sustainability at the MIT Sloan School of Management.  More

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      in Environment

      Susan Solomon wins VinFuture Award for Female Innovators

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      Lee and Geraldine Martin Professor of Environmental Studies Susan Solomon has been awarded the 2023 VinFuture Award for Female Innovators. Solomon was picked out of almost 1,400 international nominations across four categories for “The discovery of the ozone depletion mechanism in Antarctica, contributing to the establishment of the Montreal Protocol.” The award, which comes with a $500,000 prize, highlights outstanding female researchers and innovators that can serve as role models for aspiring scientists.

      “I’m tremendously humbled by that, and I’ll do my best to live up to it,” says Solomon, who attended the ceremony in Hanoi, Vietnam, on Dec. 20.

      The VinFuture Awards are given annually to “honor scientific research and breakthrough technological innovations that can make a significant difference” according to their site. In addition to Female Innovators, the award has two other special categories, Innovators from Developing Countries and Innovators with Outstanding Achievements in Emerging Fields, as well as their overall grand prize. The awards have been given out by the Vietnam-based VinFuture Foundation since 2021.

      “Countries all around the world are part of scientific progress and innovation, and that a developing country is honoring that is really very lovely,” says Solomon, whose career as an atmospheric chemist has brought her onto the international stage and has shown her firsthand how important developing countries are in crafting global policy.

      In 1986 Solomon led an expedition of 16 scientists to Antarctica to measure the degradation of the ozone layer; she was the only woman on the team. She and her collaborators were able to figure out the atmospheric chemistry of chlorofluorocarbons and other similar chemicals that are now known as ozone-depleting substances. This work became foundational to the creation of the Montreal Protocol, an international agreement that banned damaging chemicals and has allowed the ozone to recover.

      Solomon joined the MIT faculty in 2012 and holds joint appointments in the departments of Chemistry and Earth, Atmospheric and Planetary Sciences. The success of the Montreal Protocol demonstrates the ability for international cooperation to enact effective environmental agreements; Solomon sees it as a blueprint for crafting further policy when it comes to addressing global climate change.

      “Women can do anything, even help save the ozone layer and solve other environmental problems,” she says. “Today’s problem of climate change is for all of us to be involved in solving.” More

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      in Energy

      Faculty, staff, students to evaluate ways to decarbonize MIT’s campus

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      With a goal to decarbonize the MIT campus by 2050, the Institute must look at “new ideas, transformed into practical solutions, in record time,” as stated in “Fast Forward: MIT’s Climate Action Plan for the Decade.” This charge calls on the MIT community to explore game-changing and evolving technologies with the potential to move campuses like MIT away from carbon emissions-based energy systems.

      To help meet this tremendous challenge, the Decarbonization Working Group — a new subset of the Climate Nucleus — recently launched. Comprised of appointed MIT faculty, researchers, and students, the working group is leveraging its members’ expertise to meet the charge of exploring and assessing existing and in-development solutions to decarbonize the MIT campus by 2050. The group is specifically charged with informing MIT’s efforts to decarbonize the campus’s district energy system.

      Co-chaired by Director of Sustainability Julie Newman and Department of Architecture Professor Christoph Reinhart, the working group includes members with deep knowledge of low- and zero-carbon technologies and grid-level strategies. In convening the group, Newman and Reinhart sought out members researching these technologies as well as exploring their practical use. “In my work on multiple projects on campus, I have seen how cutting-edge research often relies on energy-intensive equipment,” shares PhD student and group member Ippolyti Dellatolas. “It’s clear how new energy-efficiency strategies and technologies could use campus as a living lab and then broadly deploy these solutions across campus for scalable emissions reductions.” This approach is one of MIT’s strong suits and a recurring theme in its climate action plans — using the MIT campus as a test bed for learning and application. “We seek to study and analyze solutions for our campus, with the understanding that our findings have implications far beyond our campus boundaries,” says Newman.

      The efforts of the working group represent just one part of the multipronged approach to identify ways to decarbonize the MIT campus. The group will work in parallel and at times collaboratively with the team from the Office of the Vice President for Campus Services and Stewardship that is managing the development plan for potential zero-carbon pathways for campus buildings and the district energy system. In May 2023, MIT engaged Affiliated Engineers, Inc. (AEI), to support the Institute’s efforts to identify, evaluate, and model various carbon-reduction strategies and technologies to provide MIT with a series of potential decarbonization pathways. Each of the pathways must demonstrate how to manage the generation of energy and its distribution and use on campus. As MIT explores electrification, a significant challenge will be the availability of resilient clean power from the grid to help generate heat for our campus without reliance on natural gas.

      When the Decarbonization Working Group began work this fall, members took the time to learn more about current systems and baseline information. Beginning this month, members will organize analysis around each of their individual areas of expertise and interest and begin to evaluate existing and emerging carbon reduction technologies. “We are fortunate that there are constantly new ideas and technologies being tested in this space and that we have a committed group of faculty working together to evaluate them,” Newman says. “We are aware that not every technology is the right fit for our unique dense urban campus, and nor are we solving for a zero-carbon campus as an island, but rather in the context of an evolving regional power grid.”

      Supported by funding from the Climate Nucleus, evaluating technologies will include site visits to locations where priority technologies are currently deployed or being tested. These site visits may range from university campuses implementing district geothermal and heat pumps to test sites of deep geothermal or microgrid infrastructure manufacturers. “This is a unique moment for MIT to demonstrate leadership by combining best decarbonization practices, such as retrofitting building systems to achieve deep energy reductions and converting to low-temperature district heating systems with ‘nearly there’ technologies such as deep geothermal, micronuclear, energy storage, and ubiquitous occupancy-driven temperature control,” says Reinhart. “As first adopters, we can find out what works, allowing other campuses to follow us at reduced risks.”

      The findings and recommendations of the working group will be delivered in a report to the community at the end of 2024. There will be opportunities for the MIT community to learn more about MIT’s decarbonization efforts at community events on Jan. 24 and March 14, as well as MIT’s Sustainability Connect forum on Feb. 8. More

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      in Environment

      New tool predicts flood risk from hurricanes in a warming climate

      by

      Coastal cities and communities will face more frequent major hurricanes with climate change in the coming years. To help prepare coastal cities against future storms, MIT scientists have developed a method to predict how much flooding a coastal community is likely to experience as hurricanes evolve over the next decades.

      When hurricanes make landfall, strong winds whip up salty ocean waters that generate storm surge in coastal regions. As the storms move over land, torrential rainfall can induce further flooding inland. When multiple flood sources such as storm surge and rainfall interact, they can compound a hurricane’s hazards, leading to significantly more flooding than would result from any one source alone. The new study introduces a physics-based method for predicting how the risk of such complex, compound flooding may evolve under a warming climate in coastal cities.

      One example of compound flooding’s impact is the aftermath from Hurricane Sandy in 2012. The storm made landfall on the East Coast of the United States as heavy winds whipped up a towering storm surge that combined with rainfall-driven flooding in some areas to cause historic and devastating floods across New York and New Jersey.

      In their study, the MIT team applied the new compound flood-modeling method to New York City to predict how climate change may influence the risk of compound flooding from Sandy-like hurricanes over the next decades.  

      They found that, in today’s climate, a Sandy-level compound flooding event will likely hit New York City every 150 years. By midcentury, a warmer climate will drive up the frequency of such flooding, to every 60 years. At the end of the century, destructive Sandy-like floods will deluge the city every 30 years — a fivefold increase compared to the present climate.

      “Long-term average damages from weather hazards are usually dominated by the rare, intense events like Hurricane Sandy,” says study co-author Kerry Emanuel, professor emeritus of atmospheric science at MIT. “It is important to get these right.”

      While these are sobering projections, the researchers hope the flood forecasts can help city planners prepare and protect against future disasters. “Our methodology equips coastal city authorities and policymakers with essential tools to conduct compound flooding risk assessments from hurricanes in coastal cities at a detailed, granular level, extending to each street or building, in both current and future decades,” says study author Ali Sarhadi, a postdoc in MIT’s Department of Earth, Atmospheric and Planetary Sciences.

      The team’s open-access study appears online today in the Bulletin of the American Meteorological Society. Co-authors include Raphaël Rousseau-Rizzi at MIT’s Lorenz Center, Kyle Mandli at Columbia University, Jeffrey Neal at the University of Bristol, Michael Wiper at the Charles III University of Madrid, and Monika Feldmann at the Swiss Federal Institute of Technology Lausanne.

      The seeds of floods

      To forecast a region’s flood risk, weather modelers typically look to the past. Historical records contain measurements of previous hurricanes’ wind speeds, rainfall, and spatial extent, which scientists use to predict where and how much flooding may occur with coming storms. But Sarhadi believes that the limitations and brevity of these historical records are insufficient for predicting future hurricanes’ risks.

      “Even if we had lengthy historical records, they wouldn’t be a good guide for future risks because of climate change,” he says. “Climate change is changing the structural characteristics, frequency, intensity, and movement of hurricanes, and we cannot rely on the past.”

      Sarhadi and his colleagues instead looked to predict a region’s risk of hurricane flooding in a changing climate using a physics-based risk assessment methodology. They first paired simulations of hurricane activity with coupled ocean and atmospheric models over time. With the hurricane simulations, developed originally by Emanuel, the researchers virtually scatter tens of thousands of “seeds” of hurricanes into a simulated climate. Most seeds dissipate, while a few grow into category-level storms, depending on the conditions of the ocean and atmosphere.

      When the team drives these hurricane simulations with climate models of ocean and atmospheric conditions under certain global temperature projections, they can see how hurricanes change, for instance in terms of intensity, frequency, and size, under past, current, and future climate conditions.

      The team then sought to precisely predict the level and degree of compound flooding from future hurricanes in coastal cities. The researchers first used rainfall models to simulate rain intensity for a large number of simulated hurricanes, then applied numerical models to hydraulically translate that rainfall intensity into flooding on the ground during landfalling of hurricanes, given information about a region such as its surface and topography characteristics. They also simulated the same hurricanes’ storm surges, using hydrodynamic models to translate hurricanes’ maximum wind speed and sea level pressure into surge height in coastal areas. The simulation further assessed the propagation of ocean waters into coastal areas, causing coastal flooding.

      Then, the team developed a numerical hydrodynamic model to predict how two sources of hurricane-induced flooding, such as storm surge and rain-driven flooding, would simultaneously interact through time and space, as simulated hurricanes make landfall in coastal regions such as New York City, in both current and future climates.  

      “There’s a complex, nonlinear hydrodynamic interaction between saltwater surge-driven flooding and freshwater rainfall-driven flooding, that forms compound flooding that a lot of existing methods ignore,” Sarhadi says. “As a result, they underestimate the risk of compound flooding.”

      Amplified risk

      With their flood-forecasting method in place, the team applied it to a specific test case: New York City. They used the multipronged method to predict the city’s risk of compound flooding from hurricanes, and more specifically from Sandy-like hurricanes, in present and future climates. Their simulations showed that the city’s odds of experiencing Sandy-like flooding will increase significantly over the next decades as the climate warms, from once every 150 years in the current climate, to every 60 years by 2050, and every 30 years by 2099.

      Interestingly, they found that much of this increase in risk has less to do with how hurricanes themselves will change with warming climates, but with how sea levels will increase around the world.

      “In future decades, we will experience sea level rise in coastal areas, and we also incorporated that effect into our models to see how much that would increase the risk of compound flooding,” Sarhadi explains. “And in fact, we see sea level rise is playing a major role in amplifying the risk of compound flooding from hurricanes in New York City.”

      The team’s methodology can be applied to any coastal city to assess the risk of compound flooding from hurricanes and extratropical storms. With this approach, Sarhadi hopes decision-makers can make informed decisions regarding the implementation of adaptive measures, such as reinforcing coastal defenses to enhance infrastructure and community resilience.

      “Another aspect highlighting the urgency of our research is the projected 25 percent increase in coastal populations by midcentury, leading to heightened exposure to damaging storms,” Sarhadi says. “Additionally, we have trillions of dollars in assets situated in coastal flood-prone areas, necessitating proactive strategies to reduce damages from compound flooding from hurricanes under a warming climate.”

      This research was supported, in part, by Homesite Insurance. More