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Summer storms found to be stronger and more frequent over urban areas

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Summer storms found to be stronger and more frequent over urban areas


Summer storms are stronger and more frequent over urban areas
An example of a track’s trajectory over Milan and how upwind and downwind distances are defined. Credit: Earth’s Future (2024). DOI: 10.1029/2024EF004505

Summer storms are generally more frequent, intense and concentrated over cities than over rural areas, according to new, detailed observations of eight cities and their surroundings. The results could change how city planners prepare for floods in their cities, especially as urban areas expand and as climate change alters global weather patterns.

The new study finds that more storms form over urban areas and their boundaries than in surrounding areas, and that larger cities intensify rainfall more than smaller cities. The research was published in Earth’s Future.

“Cities are expected to become more populated and increase in size in the coming decades,” said Herminia Torelló-Sentelles, an atmospheric scientist at the University of Lausanne and the study’s lead author. “Being able to quantify urban flood risk is important for urban planning and when designing urban drainage systems.”

The rain effect has been reported in studies of single cities, but the new research looked for trends and differences across multiple cities. Differences in urban rainfall patterns highlight the need to keep studying storm activity in cities across the globe, Torelló-Sentelles said.

Taking cities by storm

Some storms have rain that falls evenly, like a sprinkler, while others drop rain in concentrated bursts, like a fire hose. The new study finds that cities can turn storms into fire hoses, dropping bursts of rainfall over small urban areas instead of spreading out the rain over a larger area. Those concentrated bursts of rainfall can exacerbate flood risks if city infrastructure cannot handle the deluge.

Most cities are producing more fire hose-like storms than rural areas. Cities are also spawning more storms than their surroundings, and bigger cities are generating stronger storms than smaller cities.

“It’s not only intensity of rainfall that matters when you look at flood risk. It’s also how it’s distributed over space,” Torelló-Sentelles said. “If you have a very large amount of rainfall falling over a very small area, that can collapse the drainage system in an urban area.”

Several factors could be causing urban storm creation and intensification, Torelló-Sentelles said. Cities are generally warmer than their cool, moist and vegetation-dense surroundings, which could cause air to be drawn toward the cities and uplifted. That warm, uplifted air then condenses into rain clouds over urban centers.

Storms are also often formed as air is uplifted over mountain ranges, producing rain clouds at the mountains’ peaks. Like mini mountain ranges, city skylines can create favorable environments for the uplift of air masses and the creation of storms.

“You can think of a city like an obstacle,” Torelló-Sentelles said. “When a storm is moving toward it, the air can be lifted over and around it.”

Aerosol pollution suspended in the atmosphere over cities may also either enhance or suppress rainfall.

The researchers used seven years of high-resolution weather data from eight cities in Europe and the United States (Milan, Italy; Berlin, Germany; London and Birmingham, United Kingdom; Phoenix, Arizona; Charlotte, North Carolina; Atlanta, Georgia; and Indianapolis, Indiana) to track summer storm formation and intensity in cities and their surroundings. The cities varied in size, climate and urban shape, but all are in relatively flat regions and far from large bodies of water—factors which could influence local rainfall patterns.

The researchers tracked storm formation and evolution outside of and over cities and their boundaries, identifying the average direction, average intensity, maximum intensity and area of each storm.

They found that more storms overall formed over cities and their boundaries compared to nearby rural areas. Storms typically were most intense over city centers, or over the city edges as in Berlin and Birmingham. Larger cities had greater rainfall intensification than smaller cities: in smaller cities, rainfall intensified by 0.9% to 3.4%, while it increased from 5.2% to 11% in the largest cities compared to outlying areas. Some cities also had much higher rainfall intensification during specific times of the day.

Rainfall also became more spatially concentrated over urban areas by up to 15%. Concentrated bursts of rainfall can tax urban water management systems more than rainfall that is evenly distributed.

Strong storms increase urban flood risk

Increasingly large urban areas could generate and amplify more storms than their surroundings, even as climate change continues to intensify storms worldwide. The combined impact of urban growth and climate change could stress urban stormwater systems and lead to more frequent and severe floods.

While the researchers found some consistent trends across all cities, every city changed rainfall patterns in unique ways. For instance, while most of the cities had storms with stronger bursts of rainfall than their surroundings, Berlin and Charlotte had more dispersed rainfall. In Atlanta, storms intensified the most in the daytime hours, while storms in Birmingham only intensified overnight. And unlike the other six cities studied, Berlin and Phoenix did not have more storms initiate over the city than in surrounding areas.

These results highlight the need for individual city planning strategies and studies including more cities, Torelló-Sentelles said. As the climate changes and the world urbanizes, individual cities will need to develop their own adaptation and mitigation strategies.

“We need to study a wider variety of cities so that we can generalize findings and determine which city characteristics have the largest effects on cities’ rainfall-modifying potential,” she said. “The mechanisms driving urban rainfall are quite complex, and we still need to research these processes more.”

More information:
Herminia Torelló‐Sentelles et al, Intensification and Changing Spatial Extent of Heavy Rainfall in Urban Areas, Earth’s Future (2024). DOI: 10.1029/2024EF004505

Citation:
Summer storms found to be stronger and more frequent over urban areas (2024, September 10)
retrieved 10 September 2024
from https://phys.org/news/2024-09-summer-storms-stronger-frequent-urban.html

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Streamlining energy regulations on Native American reservations could help alleviate poverty

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Streamlining energy regulations on Native American reservations could help alleviate poverty


indian reservation
Credit: Unsplash/CC0 Public Domain

Land was once set aside as Native American reservations because it was undesirable and low in resources, but now interested Native Americans may have economic leverage in the growing industry of clean energy. A team of researchers led by UW–Madison professors Dominic Parker and Sarah Johnston quantified the economic potential of wind and solar energy projects on these lands and discussed the regulatory barriers for tribes wishing to tap into it.

“This is the first comprehensive analysis of the potential income that renewable energy projects could provide and an outline of the regulatory barriers facing tribes wanting to pursue them,” says Parker, a professor of agricultural and applied economics. “However, we emphasize that this is not a call to impose federal energy priorities on unwilling tribes.”

The study, recently published in Nature Energy, found that reservation lands are 46% less likely to host wind farms and 110% less likely to host solar farms than otherwise similar adjacent lands. Adding to this striking overall disparity, wind and solar resources are especially abundant in the poorest 25% of reservations. Most of these are located in remote areas where income opportunities from casinos and nearby urban labor markets are lacking.

The researchers used a statistical model to quantify the disparity between on- vs. off-reservation land for wind and solar farms installed by 2022. The team combined those results with energy demand forecasts through 2050 to predict the income that tribes would leave on the table if the current disparity persists until then.

In a scenario of high electrification and future reliance on renewables to meet energy demand, tribes would forego over $19 billion in lease and tax earnings by 2050, or $11.6 billion for a low-electrification scenario. The equivalent estimate for casino earnings through 2050 is $67 billion.

The researchers identified multiple barriers to development that help explain the disparity between clean energy projects on- and off-reservation land. One of the biggest is the complexity and uncertainty of the permitting process—for building both the facilities and the transmission lines that feed the generated energy into the power grid.

An earlier study found that 49 regulatory steps were required to develop oil on reservations compared to four steps for off-reservation projects,” says Parker. “This regulatory jumble makes energy projects almost as uncommon as where they are forbidden, such as in public parks, forests and wildlife refuges.”

Launching a project on any privately owned land starts with obtaining leasing agreements, which generate income for landowners. For utility-scale wind farms, which are more spatially expansive than solar farms, this usually requires multiple landowners to sign off on leases. Because of historical land allotment policies, reservation land has more extensive ownership partitioning than non-reservation land, with an average of 14 owners for a 160-acre parcel.

This means developers planning to build a wind farm, which requires at least 5,000 contiguous acres, on 32 such parcels need to obtain the agreement of 448 owners to lease their land. That makes it very difficult for Native Americans on reservations—the poorest minority group in the United States—to pursue renewable energy projects while wealthier people elsewhere have been benefitting from federal and state subsidies, notes Parker.

Energy sovereignty—allowing tribes to implement their own goals without regulatory steps imposed by federal and state jurisdiction—would help reduce barriers for development, according to the authors. This sovereignty would enable tribes to exercise their right to use or not use the natural resources on their land. It could also prevent a repeat of historical mistakes like efforts to build hydroelectric dams on tribal land in the mid-20th century. Some of these dams were built without tribal consent, harming salmon runs and causing flooding.

“Rolling back the red tape will be critical so that tribes interested in development can realize the economic potential of their own resources,” says Parker. “The key is to avoid green colonialism by not pressuring uninterested tribes while at the same time making it feasible for those wanting the income.”

More information:
Dominic P. Parker et al, Economic potential of wind and solar in American Indian communities, Nature Energy (2024). DOI: 10.1038/s41560-024-01617-4

Citation:
Streamlining energy regulations on Native American reservations could help alleviate poverty (2024, September 10)
retrieved 10 September 2024
from https://phys.org/news/2024-09-energy-native-american-reservations-alleviate.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.





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First neutrinos detected at Fermilab short-baseline detector

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First neutrinos detected at Fermilab short-baseline detector


First neutrinos detected at Fermilab short-baseline detector
Our current understanding of neutrinos predicts that the number and type of neutrinos detected at points A and B should be the same. However, various neutrino experiments have observed anomalies in the number and type of neutrinos at a distance corresponding to point B. The Short-Baseline Near Detector and a second detector called ICARUS have been placed at points A and point B, respectively, to search for such nonstandard oscillations. Credit: Samantha Koch, Fermilab

Scientists working on the Short-Baseline Near Detector (SBND) at Fermi National Accelerator Laboratory have identified the detector’s first neutrino interactions.

The SBND collaboration has been planning, prototyping and constructing the detector for nearly a decade. After a few-months-long process of carefully turning on each of the detector subsystems, the moment they’d all been waiting for finally arrived.

“It isn’t every day that a detector sees its first neutrinos,” said David Schmitz, co-spokesperson for the SBND collaboration and associate professor of physics at the University of Chicago. “We’ve all spent years working toward this moment and this first data is a very promising start to our search for new physics.”

SBND is the final element that completes Fermilab’s Short-Baseline Neutrino (SBN) Program and will play a critical role in solving a decades-old mystery in particle physics. Getting SBND to this point has been an international effort. The detector was built by an international collaboration of 250 physicists and engineers from Brazil, Spain, Switzerland, the United Kingdom and the United States.

The Standard Model is the best theory for how the universe works at its most fundamental level. It is the gold standard that particle physicists use to calculate everything from high-intensity particle collisions in particle accelerators to very rare decays. But despite being a well-tested theory, the Standard Model is incomplete. And over the past 30 years, multiple experiments have observed anomalies that may hint at the existence of a new type of neutrino.

Neutrinos are the second most abundant particle in the universe. Despite being so abundant, they’re incredibly difficult to study because they only interact through gravity and the weak nuclear force, meaning they hardly ever show up in a detector.

Neutrinos come in three types, or flavors: muon, electron and tau. Perhaps the strangest thing about these particles is that they change among these flavors, oscillating from muon to electron to tau.

Scientists have a pretty good idea of how many of each type of neutrino should be present at different distances from a neutrino source. Yet observations from a few previous neutrino experiments disagreed with those predictions.






“That could mean that there are more than the three known neutrino flavors,” explained Fermilab scientist Anne Schukraft. “Unlike the three known kinds of neutrinos, this new type of neutrino wouldn’t interact through the weak force. The only way we would see them is if the measurement of the number of muon, electron and tau neutrinos is not adding up like it should.”

The Short Baseline Neutrino Program at Fermilab will perform searches for neutrino oscillation and look for evidence that could point to this fourth neutrino. SBND is the near detector for the Short Baseline Neutrino Program while ICARUS, which started collecting data in 2021, is the far detector. A third detector called MicroBooNE finished recording particle collisions with the same neutrino beamline that same year.

The Short Baseline Neutrino Program at Fermilab differs from previous short-baseline measurements with accelerator-made neutrinos because it features both a near detector and far detector. SBND will measure the neutrinos as they were produced in the Fermilab beam and ICARUS will measure the neutrinos after they’ve potentially oscillated. So, where previous experiments had to make assumptions about the original composition of the neutrino beam, the SBN Program will definitively know.

“Understanding the anomalies seen by previous experiments has been a major goal in the field for the last 25 years,” said Schmitz. “Together SBND and ICARUS will have outstanding ability to test the existence of these new neutrinos.”

Beyond the hunt for new neutrinos

In addition to searching for a fourth neutrino alongside ICARUS, SBND has an exciting physics program on its own.

Because it is located so close to the neutrino beam, SBND will see 7,000 interactions per day, more neutrinos than any other detector of its kind. The large data sample will allow researchers to study neutrino interactions with unprecedented precision. The physics of these interactions is an important element of future experiments that will use liquid argon to detect neutrinos, such as the long-baseline Deep Underground Neutrino Experiment, known as DUNE.

Whenever a neutrino collides with the nucleus of an atom, the interaction sends a spray of particles careening through the detector. Physicists need to account for all the particles produced during that interaction, both those visible and invisible, to infer the properties of the ghostly neutrinos.

First neutrinos detected at Fermilab short-baseline detector
Display of a candidate muon neutrino interaction observed by the Short-Baseline Near Detector. When a neutrino enters SBND and interacts with an argon nucleus, it creates a spray of charged particles that the detector records. Physicists can then work backwards from these secondary particles to where the neutrino interaction occurred. Credit: SBND collaboration

It’s relatively easy to model what happens with simple nuclei, like helium and hydrogen, but SBND, like many modern neutrino experiments, uses argon to trap neutrinos. The nucleus of an argon atom consists of 40 nucleons, making interactions with argon more complex and more difficult to understand.

“We will collect 10 times more data on how neutrinos interact with argon than all previous experiments combined,” said Ornella Palamara, Fermilab scientist and co-spokesperson for SBND. “So, the analyses that we do will also be very important for DUNE.”

But neutrinos won’t be the only particles SBND scientists will keep an eye out for. With the detector located so close to the particle beam, it’s possible that the collaboration could see other surprises.

“There could be things, outside of the Standard Model, that have nothing to do with neutrinos but are produced as a byproduct of the beam that the detector would be able to see,” said Schukraft.

One of the biggest questions the Standard Model doesn’t have an answer for is dark matter. Although SBND would only be sensitive to lightweight particles, those theoretical particles could provide a first glimpse at a “dark sector.”

“So far ‘direct’ dark matter searches for massive particles haven’t turned anything up,” said Andrzej Szelc, SBND physics co-coordinator and professor at the University of Edinburgh. “Theorists have devised a whole plethora of dark sector models of lightweight dark particles that could be produced in a neutrino beam and SBND will be able to test whether these models are true.”

These neutrino signatures are only the beginning for SBND. The collaboration will continue operating the detector and analyzing the many millions of neutrino interactions collected for the next several years.

“Seeing these first neutrinos is the start of a long process that we have been working towards for years,” said Palamara. “This moment is the beginning of a new era for the collaboration.”

Citation:
First neutrinos detected at Fermilab short-baseline detector (2024, September 10)
retrieved 10 September 2024
from https://phys.org/news/2024-09-neutrinos-fermilab-short-baseline-detector.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.





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Researchers sequence the genome of the spur-thighed tortoise

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Researchers sequence the genome of the spur-thighed tortoise


Researchers sequence the genome of the spur-thighed tortoise
Representation of the main genome assembly results. Credit: PLOS ONE (2024). DOI: 10.1371/journal.pone.0303408

Like many threatened land turtle species, the spur-thighed tortoise had no complete genome. Now for the first time, researchers from the Ecology departments at Miguel Hernández University of Elche (UMH) and the University of Alicante (UA) have successfully sequenced the genome of the spur-thighed tortoise, using the genome of another closely related native American tortoise as a reference.

The results, published in PLOS ONE, will enable the scientific community to support the conservation of these endangered animals.

The spur-thighed tortoise (Testudo graeca) is one of the most iconic land tortoise species in the Mediterranean basin. In the Iberian Peninsula, spur-thighed tortoises have two main populations: one in the southeast, from northern Almería to southern Murcia, and another within the Doñana National Park. The species is endangered in Andalusia and is listed in the Catalog of Threatened Species by the Regional Ministry of Murcia and the Ministry of the Environment.

“Understanding the genetic diversity of animals can be very useful for conserving species like the spur-thighed tortoise because the more we know, the better we can understand how these animals have adapted to their environment or what capacity they have to face climate change,” explains Andrea Mira Jover, a researcher at UMH and the study’s lead author.

In recent years, Mira-Jover adds, conservation biology has employed a promising tool: genome sequencing. A genome is the complete set of DNA instructions found in a cell. Sequencing a genome involves reading all the genetic information representative of a species, identifying specific genes, for instance, and organizing them into chromosomes.

The description of this species’ genome is a critical scientific milestone, as very few tortoises have been described at this level.

“These results will be a starting point to better understand the evolutionary history of the species and solve questions related to its life history, such as the secret to its longevity,” notes UA researcher Roberto Rodríguez-Caro. Moreover, he adds, the publication of this reference genome will provide key tools for its global conservation, as the species is listed as vulnerable by the International Union for Conservation of Nature (IUCN) and requires concrete measures to preserve its populations in the future.

Rodríguez-Caro, from the UA’s Department of Ecology, has been studying this species for 15 years, gathering information on its ecology, conservation, and genetics in collaboration with various national and international research centers.

Different techniques exist to obtain complete genomes, depending on whether the genetic information is read in long or short fragments.

“If all the DNA were a novel, some techniques would read long sentences, while others would identify individual words,” explains Mira-Jover. Long-read techniques are more effective for assembling de novo genomes—organizing DNA sequences without using a previous reference—but they are still too expensive. However, other methods can obtain complete genomes using short-read techniques by referencing the genomes of closely related species.

“In this case, the novel is written using individual words instead of long sentences,” the UMH researcher clarifies.

This method, known as “reference assembly,” is particularly useful in species with slow evolution, meaning their rate of genetic change is low. They retain the same gene order, called “highly syntenic groups.” Using the novel metaphor, if only individual words are available to write a species’ genetics, sentences from a similar book can be consulted to complete the genome.

“An example of slowly evolving organisms is turtles, scientifically known as chelonians or testudines,” explains UMH researcher Eva Graciá, study leader and president of the Spanish Herpetological Association. “Chelonians are an ancient and diverse taxonomic group, including freshwater, marine, and land turtles, but their genomic organization is very similar,” she points out, adding that “turtles have evolved very slowly throughout history, and their genes are similar and located in the same position on chromosomes.”

Land tortoises (Testudinidae) form the most threatened family. Yet, only five reference genomes are available compared to 33 for marine and freshwater turtles. Faced with this situation, the scientific community needs more resources to help conserve land tortoise populations.

For this reason, researchers from the UMH’s Ecology department have generated the first chromosome-level reference genome for the spur-thighed tortoise using short-read sequencing techniques. They utilized the known genome of Gopherus evgoodei, the Sinaloan thorn scrub tortoise, native to the United States and Mexico deserts.

If the DNA double helix is imagined as a spiral staircase, each step of the staircase would be formed by the so-called “base pairs” containing smaller molecules. The size of a complete genome is measured by the number of base pairs. For example, the human genome has 3.2 billion base pairs containing about 25,000 genes.

Using various bioinformatic techniques, the researchers analyzed a 2.2-billion base pair genome of the spur-thighed tortoise containing nearly 26,000 genes. They also performed a demographic reconstruction to understand the evolutionary history of the species.

“This analysis suggests a very similar evolutionary pattern to what we have already observed with other techniques in previous studies,” points out UMH Professor of Ecology Andrés Giménez, author of the publication.

This reference genome will help answer questions about the evolutionary history of the spur-thighed tortoise and for investigating genes of interest in future studies. It will also be a valuable tool for making better conservation decisions. Additionally, the rest of the scientific community will have access to the spur-thighed tortoise genome, contributing significantly to a field with limited resources.

More information:
Andrea Mira-Jover et al, Taking advantage of reference-guided assembly in a slowly-evolving lineage: Application to Testudo graeca, PLOS ONE (2024). DOI: 10.1371/journal.pone.0303408

Citation:
Researchers sequence the genome of the spur-thighed tortoise (2024, September 10)
retrieved 10 September 2024
from https://phys.org/news/2024-09-sequence-genome-spur-thighed-tortoise.html

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Examining rare earth metal volatility on the London Stock Exchange

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Examining rare earth metal volatility on the London Stock Exchange


stock market
Credit: Unsplash/CC0 Public Domain

Research in the International Journal of Global Energy Issues has looked at the volatility of rare earth metals traded on the London Stock Exchange. The work used an advanced statistical model known as gjrGARCH(1,1) to follow and predict market turbulence. It was found to be the best fit for predicting rare earth price volatility and offers important insights into the stability of these crucial resources.

Auguste Mpacko Priso of Paris-Saclay University, France and the Open Knowledge Higher Institute (OKHI), Cameroon, with OKHI colleagues, explain that the rare earths are a group of 17 metals with unique and useful chemical properties. They are essential to high-tech products and industry, particularly electric vehicle batteries and renewable energy infrastructure. They are also used in other electronic components, lasers, glass, magnetic materials, and as components of catalysts for a range of industrial processes.

As the global transition to reduced-carbon and even zero-carbon technologies moves forward, there is an urgent need to understand the pricing of rare earth metals, as they are an important part of the technology we need for an environmentally-friendly future.

The team compared the volatility of rare earth prices with that of other metals and stocks. Volatility, or the degree of price fluctuation, was found to be persistent in rare earths, meaning that prices tend to fluctuate continually over time rather than reaching a stable point quickly. For investors and manufacturers dependent on these metals, such constant volatility poses a substantial economic risk. As such, forecasting the price changes might be used to mitigate that. It might lead to greater stability and allow investors to work in this area secure in the returns they hope to see.

Other models used in stock price prediction failed to model the volatility of the rare earth metals well, suggesting that this market has distinctive characteristics that affect prices differently from other more familiar commodities. Given that the demand and use of rare earth metals is set to surge, there is a need to understand their price volatility and to take this into account in green investments and development.

It is worth noting that there is a major political component to this volatility given that China and other nations, with vast reserves of rare earth metal ores, do not necessarily share the political views or purpose of the nations demanding these resources.

More information:
Auguste Mpacko Priso et al, Price and volatility of rare earths, International Journal of Global Energy Issues (2024). DOI: 10.1504/IJGEI.2024.140736

Citation:
Examining rare earth metal volatility on the London Stock Exchange (2024, September 10)
retrieved 10 September 2024
from https://phys.org/news/2024-09-rare-earth-metal-volatility-london.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.





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