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Strain heterogeneities in laboratory faults driven by roughness and wear

Earth and Planetary Science Letters - Fri, 03/28/2025 - 19:10

Publication date: 1 May 2025

Source: Earth and Planetary Science Letters, Volume 657

Author(s): Sofia Michail, Paul Antony Selvadurai, Markus Rast, Antonio Felipe Salazar Vásquez, Patrick Bianchi, Claudio Madonna, Stefan Wiemer

Nitrogen-carbon-argon features of the silicate Earth established by deep core-mantle differentiation

Earth and Planetary Science Letters - Fri, 03/28/2025 - 19:10

Publication date: 1 May 2025

Source: Earth and Planetary Science Letters, Volume 657

Author(s): Shengxuan Huang, Taku Tsuchiya

Structural characterization of archaeal GDGT cyclization: Linking physiological adaptation to paleotemperature reconstruction

Earth and Planetary Science Letters - Fri, 03/28/2025 - 19:10

Publication date: 1 May 2025

Source: Earth and Planetary Science Letters, Volume 657

Author(s): Jiaming Zhou, Liang Dong

Stress-controlled reaction pattern in the layered lower crust: Field evidence

Earth and Planetary Science Letters - Fri, 03/28/2025 - 19:10

Publication date: 1 May 2025

Source: Earth and Planetary Science Letters, Volume 657

Author(s): Marie Baïsset, Loïc Labrousse, Philippe Yamato, Anaïs Cochet

A novel InSAR-based method for retrieving active layer thickness: Emphasizing soil pore ratio and unfrozen water content

Publication date: Available online 18 March 2025

Source: Advances in Space Research

Author(s): Delong Zhang, Guanjun Wei, Xueke Ma, Yongxin Wang

LBLSTM observer based performance guaranteed tracking control for flying around a non-cooperative target

Publication date: Available online 17 March 2025

Source: Advances in Space Research

Author(s): Caisheng Wei, Pengfei Guo, Ruiwu Lei, Yi Wang, Xiaopeng Xue

Trends of the F2-layer parameters based on Sverdlovsk (Arti) station data

Publication date: 15 March 2025

Source: Advances in Space Research, Volume 75, Issue 6

Author(s): A.D. Danilov, I.A. Ryabukhin

How the failure of two dams amplified the Derna Flood tragedy

Phys.org: Earth science - Fri, 03/28/2025 - 18:00
A new study reveals that the devastating 2023 flood in Derna, Libya, was not merely the result of extreme rainfall but was drastically intensified by a major design shortcoming and its resulting collapse of two embankment dams.

Study reveals key linkages between westerly wind bursts and El Niño development

Phys.org: Earth science - Fri, 03/28/2025 - 16:18
El Niño, a climate phenomenon marked by warming sea surface temperatures in the central and eastern equatorial Pacific, is known to trigger extreme weather events worldwide, from droughts and floods to disruptions in agriculture and ecosystems. Despite its global impact, the mechanisms behind El Niño remain complex and not fully understood, making accurate predictions challenging.

Regional climate signals pose new challenges for climate science

Phys.org: Earth science - Fri, 03/28/2025 - 14:46
Climate science has correctly predicted many aspects of the climate system and its response to increased atmospheric carbon dioxide concentrations. Recently, discrepancies between the real world and our expectations of regional climate changes have emerged, as have disruptive new computational approaches.

Seeping Groundwater Can Be a Hidden Source of Greenhouse Gases

EOS - Fri, 03/28/2025 - 12:55
Source: Journal of Geophysical Research: Biogeosciences

Scientists know that streams and rivers can contribute significant quantities of greenhouse gases to the atmosphere. One way these bodies of water come to contain greenhouse gases is via groundwater, which picks up carbon and nitrogen as it seeps and flows through rock and sediment near rivers. Much research into greenhouse gas emissions from rivers assumes that before being released into the atmosphere, the gases in this groundwater mix with the currents of rivers and streams. But during low-flow conditions, groundwater can seep out along stream banks at or above the river surface, creating a pathway for greenhouse gases to escape directly from groundwater.

Bisson et al. set out to estimate the magnitude of emissions from groundwater rising directly to the surface, known as groundwater discharge. They measured greenhouse gas emissions along riverbanks at three locations in the Farmington River watershed in Connecticut and Massachusetts, concentrating on areas that had groundwater discharge above the waterlines during a typical summer flow season.

At each stream, the team used handheld thermal infrared cameras to identify stream banks with and without areas of exposed groundwater discharge. Once these stream banks were located, the team measured fluxes of the greenhouse gases carbon dioxide (CO2), nitrous oxide (N2O), and methane, as well as groundwater discharge rates along the stream banks. They also collected subsurface groundwater samples and analyzed the samples for concentrations of dissolved organic carbon, oxygen, and nitrogen.

At one site, the researchers found that CO2 concentrations were 1.4–19.2 times higher in groundwater discharge than in surface water and N2O concentrations were 1.1–40.6 times higher. In comparison, stretches of stream with no groundwater seeps acted as N2O sinks. They also found that groundwater emissions of CO2 and N2O were 1.5 and 1.6 times higher than surface water emissions, respectively. On average, 21% of emissions from the groundwater seeps were released into the atmosphere before they could mix with surface waters.

The authors note that their work shows that exposed groundwater discharge along stream banks can be a significant, often unaccounted-for, source of river corridor greenhouse gas emissions. They add that more work should be done to better understand potential emissions from river corridors where groundwater discharge is abundant. (Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/2024JG008395, 2025)

—Sarah Derouin (@sarahderouin.com), Science Writer

Citation: Derouin, S. (2025), Seeping groundwater can be a hidden source of greenhouse gases, Eos, 106, https://doi.org/10.1029/2025EO250118. Published on 28 March 2025. Text © 2025. AGU. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Brazil’s Rivers Are Leaking

EOS - Fri, 03/28/2025 - 12:53

In 2017, Paulo Tarso Oliveira, a professor of hydrology at the Universidade de São Paulo, came across a news report about a small village along the banks of the São Francisco River, one of the main rivers in northeastern Brazil. The article said villagers were experiencing unusually high rates of high blood pressure, and linked the anomaly with the region’s dry climate and low river flow. As the water table dropped, ocean water began infiltrating the region’s groundwater, raising salt levels in the water supply and making people sick.

“Oftentimes, people don’t realize, but surface and groundwater are connected and must be seen as an entirety.”

Intrigued, Oliveira investigated further. Streamflow was slowing, he later found, because wells were pumping water from the aquifer below. “Oftentimes, people don’t realize, but surface and groundwater are connected and must be seen as an entirety,” Oliveira said.

In places where a water table lies beneath a riverbed, the river can leak water into the aquifer below. This process, known as streamflow leakage, occurs naturally depending on underlying rock formations and groundwater levels, but the construction of wells that overpump water from aquifers may intensify the issue.

The situation in the São Francisco basin is not unique, Oliveira and his colleagues found. In evaluating wells across Brazil, the researchers discovered that water levels in more than half the wells were below the level of nearby streams.

Mapping Wells

In 2023, Oliveira and master’s student José Gescilam Uchôa began mapping Brazilian rivers to identify areas at risk of water loss. They relied on public data on river levels and the locations of wells from the Geological Survey of Brazil. The data, however, were insufficient for most of the registered wells. As a result, they focused on 18,000 wells with comprehensive data spread across thousands of rivers in Brazil.

The researchers compared the water level in each well with the elevation of the nearest stream. In 55% of the wells, water topped out below the elevation of neighboring streams.

José Uchôa takes measurements in a river in São Paulo. Credit: Laboratório de Hidráulica Computacional da Universidade de São Paulo

“Our data suggest that the groundwater use is significantly impacting the rivers’ streamflow,” Uchôa said. “This is and will continue to be a growing worry for water management in the country.”

The study, published in Nature Communications, also identified critical regions, including the São Francisco basin, where more than 60% of rivers may be losing water because of extensive groundwater pumping. Pumping is mainly associated with irrigation activities.

In the Verde Grande basin in eastern Brazil, where irrigation is responsible for 90% of water consumption, 74% of rivers may be losing water to aquifers.

Oliveira thinks the results are conservative and that the situation could actually be worse because the researchers did not account for illegal wells. A 2021 study by geologist Ricardo Hirata at the Universidade de São Paulo estimated that around 88% of Brazil’s 2.5 million wells are illegal, lacking a license or registration for pumping.

Hirata, who was not involved with the new work, warned that the new study was limited to only 5% of existing wells, primarily located in regions where groundwater is more intensely exploited.

“Perhaps this is also happening in other parts of the country with high irrigation demands, and we just don’t know it because we lack data.”

He also stressed that though the researchers identified rivers that are potentially losing water to aquifers, these data alone are insufficient to determine whether the rivers are drying up. To assess that, other factors would need to be considered, such as the amount of water extracted from an aquifer compared to the river’s streamflow, how connected the aquifer is to the river, and how much water is drawn from the aquifer in relation to seasonal variations in streamflow.

“The fact that the water level of a well is lower than that of a nearby river doesn’t necessarily affect the river or the aquifer,” Hirata said.

The areas identified as critical by the study are mostly arid regions where stream leakage was expected to occur naturally, pointed out hydrologist André F. Rodrigues at the Universidade Federal de Minas Gerais in Brazil. Rodrigues was not involved with the research.

The study is important because it highlights a growing issue, he said, but more local analyses are necessary to get a more detailed picture of the problem and consider, for example, the effects of climate and seasonal changes. “Perhaps this is also happening in other parts of the country with high irrigation demands, and we just don’t know it because we lack data,” Rodrigues said.

A Growing Issue

Uncontrolled expansion of wells and excessive pumping not only affect people’s health, water supplies, and agriculture but also can make soil unstable, leading to ground sinking (subsidence). Similar phenomena have been observed in regions of China, the United States, and Iran.

The outlook is not good for Brazil. Wells will likely multiply because irrigated land areas are expected to increase by more than 50% in the coming 20 years, according to the Brazilian water agency.

“We will likely see a vicious cycle of degradation, where a decrease in surface water quality and quantity, coupled with an increase in drought periods, will force farmers to drill more wells for food production, further intensifying groundwater extraction and exacerbating the problem,” Oliveira said.

Overexploitation of groundwater is a global concern. Most aquifers have declined in the 21st century, and modeling studies suggest that stream leakage will become more common in the coming decades. Still, the issue is largely overlooked in tropical places such as Brazil, which holds 12% of the world’s renewable water resources.

This oversight is partly due to a lack of funding and surveillance and partly due to a long-standing belief that rivers in tropical and humid countries mostly gain water from aquifers rather than losing it, Oliveira said. “We must act to avoid having entire regions devastated in the future.”

Researchers are calling for more studies and systematic monitoring of wells to identify critically dry areas and assess the impact of drilling new wells on rivers. Brazil has only 500 observational wells that are constantly monitored by the government, compared with 18,000 in the United States, despite the countries having similar land area. “Surveillance is extremely important and highly undervalued,” Uchôa emphasized.

—Sofia Moutinho (@sofiamoutinho.bsky.social), Science Writer

Citation: Moutinho, S. (2025), Brazil’s rivers are leaking, Eos, 106, https://doi.org/10.1029/2025EO250116. Published on 28 March 2025. Text © 2025. The authors. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Machine Learning Provides a New Perspective of Low-level Clouds

EOS - Fri, 03/28/2025 - 12:00
Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: Journal of Geophysical Research: Machine Learning and Computation

Low-lying clouds over the oceans are of key relevance for understating climate dynamics as they effectively reflect sunlight that otherwise would be absorbed by the ocean. Satellite data are a central pillar of the ongoing quest to better understand such clouds and the physical mechanisms governing their evolution.

In their new study, Tian et a. [2025] utilize a focused exploitation of a complementary source of data—long time series of ground-based radar observations—by means of machine learning. Established, satellite-based cloud categories can be reliably identified in the radar data. This then allows us to contextualize the wealth of additional information contained in the radar data, from cloud height to cloud droplet number concentrations. This study thus expands the observational data on low-level clouds that can be jointly exploited. One application that will potentially benefit from this work is the above-mentioned quest for a better physical understanding of low-level clouds.

Citation: Tian, J., Comstock, J., Geiss, A., Wu, P., Silber, I., Zhang, D., et al. (2025). Mesoscale cellular convection detection and classification using convolutional neural networks: Insights from long-term observations at ARM Eastern North Atlantic site. Journal of Geophysical Research: Machine Learning and Computation, 2, e2024JH000486. https://doi.org/10.1029/2024JH000486

—Doris Folini, Editor, JGR: Machine Learning and Computation

Text © 2024. The authors. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

Continued uncertainty, but very real concerns, about mining related landslides in Marowali, Indonesia

EOS - Fri, 03/28/2025 - 07:13

The Landslide Blog is written by Dave Petley, who is widely recognized as a world leader in the study and management of landslides.

There are some reports today that another mining related landslide occurred in the Morowali area of Indonesia yesterday. There are few details in media reports, but videos have been posted that appear to show a significant event. Most notable is this one, from Tiktok, which seems to show two trucks buried in mined material or mine waste.

This is a still from the video:-

The aftermath of a reported mining-related landslide at Morowali in Sulawesi. Still from a video posted to Tiktok.

Reports suggest that there were no fatalities, but I am awaiting further information.

Meanwhile, there remains some uncertainty about the two earlier events. Based on reports online, this is the best that I can determine.

The 16/17 March 2025 tailings landslide

There remains considerable uncertainty about this event, which caused extensive and well-reported flooding downstream. This appears to have been the failure of a tailings facility, although I am unable to pinpoint exactly which one.

This article reportedly shows the aftermath of the embankment breach that led to the 16/17 March 2025 event (even though it is wrongly captioned). It appears to have occurred in a more remote location, but until decent satellite imagery is available I will be unable to pin it down.

The 22 March tailings (?) landslide

A further major landslide occurred on 22 March, killing three excavator operators. This failure has been widely reported to have occurred in tailings. There is speculation about the location of this landslide, with some suggesting that it occurred close to the 16/17 March 2025 event – i.e. upstream from the main industrial IMIP sites.

This video, also on Tiktok, shows the search for one of the victims. There are other, similar videos and images. It includes the following view of the location:-

The aftermath of the 22 March 2025 mining-related landslide at Morowali in Sulawesi. Still from a video posted to Tiktok.

I believe that the most likely location for this landslide is the one that I highlighted in my earlier post:-

Google Maps image of the possible location of the 22 March 2025 tailings landslide at Fatufia in Indonesia.

The configuration of the site shown above matches this location in a way that the other postulated sites do not. In the video, a large cut in a natural slope is shown, and it is clear that a large industrial facility lies on the downslope side. This includes an area under construction on the right side. All of this matches the above location. although I cannot be definitive of course.

Interestingly, also on Tiktok, there is a video of a landslide in the Morowali area, which partially engulfs a backhoe. This is a still from that video:-

A small landslide, reportedly from Morowali, showing a landslide partially engulfing a backhoe. Still from a video posted to Tiktok.

That appears to have been a near-miss event.

Assuming that the video above was not one of the recent landslide events (and I believe that this is the case), it appears that there have been at least four significant landslides at IMIP in Morowali in recent months. This must be a source of very real concern.

However, at this stage there remains very considerable, and frustrating, uncertainty about the events at IMIP.

Return to The Landslide Blog homepage Text © 2023. The authors. CC BY-NC-ND 3.0
Except where otherwise noted, images are subject to copyright. Any reuse without express permission from the copyright owner is prohibited.

A stress model for non-linear reservoir compaction and application to the post shut-in Groningen gas field

Geophysical Journal International - Fri, 03/28/2025 - 00:00
SummarySeismic source models that use an elastic relation between pressure decrease, compaction, and stress change have been shown to successfully reproduce induced seismicity in producing natural gas reservoirs undergoing differential compaction. However, this elastic relation is inconsistent with observations of non-linear reservoir compaction in the Groningen field. We utilize critical state mechanics theory to derive a 3D stress-strain framework that is able to house 1D non-linear stress-strain relations typically used for subsidence models, without the need for recalibration of the subsidence model parameters. This is used to adapt the elastic thin sheet stress model that is currently in use as the state-of-the-art for seismicity predictions as part of the hazard and risk assessment of the Groningen gas field. The new thin sheet model has one additional model parameter that modulates the impact of inelastic deformation on fault loading, whilst keeping the intended function of the model calibration from the original elastic thin sheet model intact. The resulting elastic-viscoplastic thin sheet stress model is consistent with previously reported non-linear rate-dependent reservoir compaction in Groningen found from inverting subsidence data and from rock deformation experiments. Our elastic-viscoplastic thin sheet stress model is able to predict ongoing stress increase, and therefore ongoing seismicity, in areas where pressure does not decrease anymore due to shut-in. A pseudo-prospective forecasting exercise indeed shows that the elastic-viscoplastic stress model performs better than the linear elastic stress model. This model addition ensures that the Groningen seismic source model is well suited for predicting seismicity in the post shut-in phase.

Full-waveform earthquake source inversion using simulation-based inference

Geophysical Journal International - Fri, 03/28/2025 - 00:00
SummaryThis paper presents a novel framework for full-waveform seismic source inversion using simulation-based inference (SBI). Traditional probabilistic approaches often rely on simplifying assumptions about data errors, which we show can lead to inaccurate uncertainty quantification. SBI addresses this limitation by learning an empirical probabilistic relationship between the parameters and data, without making assumptions about the data errors. This is achieved through the use of specialised machine learning models, known as neural density estimators, which can then be integrated into the Bayesian inference framework. We apply the SBI framework to point-source moment tensor inversions as well as joint moment tensor and time-location inversions. We construct a range of synthetic examples to explore the quality of the SBI solutions, as well as to compare the SBI results with standard Gaussian likelihood-based Bayesian inversions. We then demonstrate that under real seismic noise, common Gaussian likelihood assumptions for treating full-waveform data yield overconfident posterior distributions that underestimate the moment tensor component uncertainties by up to a factor of 3. We contrast this with SBI, which produces well-calibrated posteriors that generally agree with the true seismic source parameters, and offers an order-of-magnitude reduction in the number of simulations required to perform inference compared to standard Monte Carlo sampling techniques. Finally, we apply our methodology to a pair of moderate magnitude earthquakes in the North Atlantic. We utilise seismic waveforms recorded by the recent UPFLOW ocean bottom seismometer array as well as by regional land stations in the Azores, comparing full moment tensor and source-time location posteriors between SBI and a Gaussian likelihood approach. We find that our adaptation of SBI can be directly applied to real earthquake sources to efficiently produce high quality posterior distributions that significantly improve upon Gaussian likelihood approaches.

A crustal thermal model of the conterminous United States constrained by multiple data sets: A Monte-Carlo approach

Geophysical Journal International - Fri, 03/28/2025 - 00:00
SummaryThe thermal structure of the continental crust plays a critical role in understanding its elastic and rheologic properties as well as its dynamic processes. Thermal parameter datasets on continental scales have been used to constrain the crustal thermal structure, including both the direct (e.g., temperature, heat flux, and heat conductivity measured at the surface) and indirect (e.g., seismically derived Mohorovičić discontinuity (Moho) temperature, geomagnetically derived Curie depth) observations. In this study, we present a new continental scale crustal heat generation model with additional information from seismologically-inferred crustal composition. Together with previous direct and indirect thermal parameter datasets in the conterminous United States, we use the new crustal heat generation model to construct a 3-dimensional (3-D) crustal temperature model under a newly developed Bayesian framework. Specifically, we first derive profiles of crustal heat generation based on an empirical geochemical relationship at 1683 locations where seismologically derived crustal composition information is available. Then for each of these locations, the average heat generation values in the upper, middle, and lower crust are combined with other thermal parameters through a Markov Chain Monte-Carlo inversion for a conductive, vertically smooth temperature profile. The results, posterior distributions of temperature profiles, are used to generate a 3-D crustal thermal model with the uncertainties systematically assessed. The new temperature model overall exhibits similar patterns to that from the U.S. Geological Survey National Crustal Model, but also reduces possible biases and the model's dependence on a single thermal parameter.

Not just the Internet: Foresight uses fiber optics to detect structural damage after earthquakes

Phys.org: Earth science - Thu, 03/27/2025 - 20:49
A new method based on optical interferometry, to monitor structural damage to buildings hit by earthquakes in real time, is the outcome of the Foresight research project, led by the Politecnico di Milano and carried out together with INRiM—the National Metrology Institute of Italy and INGV—the National Institute of Geophysics and Volcanology.

Increased meltwater and rain help explain why Southern Ocean cooling has defied predictions

Phys.org: Earth science - Thu, 03/27/2025 - 20:12
Global climate models predict that the ocean around Antarctica should be warming, but in reality, those waters have cooled over most of the past four decades.

Drone experiment reveals how Greenland ice sheet is changing

Phys.org: Earth science - Thu, 03/27/2025 - 19:30
For the first time, researchers have collected detailed measurements of water vapor high above the surface of the Greenland ice sheet. Their research, aided by a custom-designed drone, could help scientists improve ice loss calculations in rapidly warming polar regions.

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