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A deep reinforcement learning method for training a jellyfish-like swimmer to effectively track a moving target in a two-dimensional flow was developed. This swimmer is a flexible object equipped with a muscle model based on torsional springs. We employed a deep Q-network (DQN) that takes the swimmer’s geometry and dynamic parameters as inputs, and outputs actions that are the forces applied to the swimmer. In particular, an action regulation was introduced to mitigate the interference from complex fluid–structure interactions. The goal of these actions is to navigate the swimmer to a target point in the shortest possible time. In the DQN training, the data on the swimmer’s motions were obtained from simulations using the immersed boundary method. During tracking a moving target, there is an inherent delay between the application of forces and the corresponding response of the swimmer’s body due to hydrodynamic interactions between the shedding vortices and the swimmer’s own locomotion. Our tests demonstrate that the swimmer, with the DQN agent and action regulation, is able to dynamically adjust its course based on its instantaneous state. This work extends the application scope of machine learning in controlling flexible objects within fluid environments.
Polymorphism, the occurrence of different morphs of a trait within the population of a single species, plays a crucial role in species diversification, genetic variation, and adaptation. Detecting polymorphism in a single character helps us to understand population dynamics, particularly in species that inhabit diverse environments. However, detecting polymorphisms in fossil taxa is challenging due to the fragmentary and incomplete records. Dimorphism, defined as the occurrence of different morphs of a trait within the population of a single species, represents the simplest and most common form of polymorphism. This study focuses on dimorphism instead of polymorphism, which allows for a more streamlined analysis. We use computational simulation experiments to estimate the minimum sample size required to detect bimodal distribution in univariate morphological variables. We describe the morphological diversity of a measured variable (e.g., body mass or skeletal length) as a probability density distribution with specific parameter sets. Subsequently, we simulate the diversity of the measured variable with varying sample sizes and conduct resampling procedures to ensure the robustness. Four key parameters that characterize the probability distribution are identified as having significant influence on the minimum sample size for dimorphism recognition. According to the simulation experiments, a model is built to estimate the minimum sample size for dimorphism recognition based on these parameters. A dataset from extant avian and reptilian species is used to test the model. Furthermore, we calculate a reference for the minimal sample size required for assessing phenotypic dimorphism in fossil avian taxa by applying parameters derived from extant avian species.
In this study, the statistical properties and formation mechanisms of particle clusters that consider the influence of particle–wall interactions in particle-laden wall turbulence are systematically investigated through wind tunnel experiments. In the experiments, two particle release modes, including particle top-releasing mode (Case 1) and particle locally laying mode (Case 2), were adopted to establish varying conditions with different particle–wall interaction strengths. The Voronoï diagram method was employed to identify the particle clusters, and the impact of particle–wall interactions on the characteristics of the clusters was analysed. The results indicate that particle–wall interaction is the predominant factor in the formation of particle clusters in the near-wall region. Under Case 1 and Case 2, the maximum concentration of particles in the clusters could reach nearly five times the average particle concentration; however, the clusters with large particle numbers ($N_C\gt 5$) in Case 1 tended to form near the wall and the vertical velocities of these clusters were greater than the average velocities of all particles. In contrast, under Case 2, clusters with large particle numbers exhibited a higher probability of occurrence further from the wall and the vertical velocities of these clusters were lower than the average velocity of all particles. Furthermore, this study found that the presence of particle clusters in these flows significantly alters the flow field properties surrounding them, implying that a region of high strain and low vorticity constitutes an essential but non-sufficient condition for the generation of particle clusters in wall turbulence.
Carbon capture technologies are considered essential for addressing global warming issues. To date, various capture technologies have been extensively investigated in the literature, both through experimental studies and simulations. This paper aims to briefly review the most recent advancements in the modeling of various CO2 capture processes. The progress in technologies, including chemical absorption, physical absorption, adsorption, membrane-based separation and chemical looping processes, is discussed. Existing evaluation results obtained from various simulation studies are summarized and compared. In addition to the advancements in each technology, the future research trends and the challenges that need to be addressed in the field of process modeling are identified.
We theoretically investigate the small-amplitude broadside oscillations of an annular disk within an unbounded fluid domain. Specifically, we formulate a semi-analytical framework to examine the effects of the oscillation frequency and pore radius on the disk’s added mass and damping coefficients. By leveraging the superposition principle, we decompose the complex original problem into two simpler ones. The force exerted on the disk by the fluid is linked to the solutions of these sub-problems through the reciprocal theorem; the first solution is readily available, while the second is derived asymptotically, assuming a small inner radius. Both solutions are evaluated by transforming dual integral equations into systems of algebraic equations, which are then solved numerically. Building on these solutions, we extract asymptotic expressions for the variations of the quantities of interest in the limits of low and high oscillatory Reynolds numbers. Notably, at high frequencies, we uncover a previously overlooked logarithmic term in the force coefficient expansions, absent in prior scaling analyses of oscillating solid (impermeable) disks. Our findings indicate that, when viscosity plays a dominant role, an annular (porous) disk behaves similarly to a solid one, with reductions in the force coefficients scaling with the cube of the pore radius. We also discover, perhaps surprisingly, that, as inertial effects intensify, the damping coefficient initially increases with the pore radius, reaches a maximum and subsequently declines as the disk’s inner hole enlarges further; at its peak, it can exceed the value for an equivalent solid disk by up to approximately 62 % in the asymptotic limit of extremely high oscillatory Reynolds number. Conversely, the added mass coefficient decreases monotonically with increasing porosity. The decay rate of the added mass in the inertial regime initially scales with the cube of the pore radius before transitioning to linear scaling when the pore radius is no longer extremely small. Although our analysis assumes a small pore radius, direct numerical simulations confirm that our asymptotic formulation remains accurate for inner-to-outer radius ratios up to at least $1/2$.
Glacier motion, retreat and glacier hazards such as surges and glacial lake outburst floods (GLOFs) are likely underpinned by subglacial hydrology. Recent advances in subglacial hydrological modeling allow us to shed light on subglacial processes that lead to changes in ice mass balance in High Mountain Asia. We present the first application of the Subglacial Hydrology And Kinetic, Transient Interactions (SHAKTI) model on an alpine glacier. Shishper Glacier, our study site, is a mountain glacier in northern Pakistan that exhibits concurrent surges and GLOFs, which endanger local communities and infrastructure. Without coupling to ice velocity, the modeled subglacial hydrological system undergoes transitions between inefficient to efficient drainage and back during spring and fall, supporting previous observations of spring and fall speedups of glaciers in the region. We compare modeled effective pressures from the years 2017-19 with previously observed velocities, suggesting that while subglacial hydrology may explain seasonal sliding dynamics, our model is unable to provide an explanation for surge-scale behavior, implicating a need for coupled hydrological and ice dynamics modeling of surge conditions. This work demonstrates the potential of using ice sheet models for alpine glaciology and provides a new nucleus for modeling of glacial hazards in alpine environments.
Elastoviscoplastic (EVP) fluid flows are driven by a non-trivial interplay between the elastic, viscous and plastic properties, which under certain conditions can transition the otherwise laminar flow into complex flow instabilities with rich space–time-dependent dynamics. We discover that under elastic turbulence regimes, EVP fluids undergo dynamic jamming triggered by localised polymer stress deformations that facilitate the formation of solid regions trapped in local low-stress energy wells. The solid volume fraction $\phi$, below the jamming transition $\phi\lt\phi_J$, scales with $\sqrt {\textit{Bi}}$, where $\textit{Bi}$ is the Bingham number characterising the ratio of yield to viscous stresses, in direct agreement with theoretical approximations based on the laminar solution. The onset of this new dynamic jamming transition $\phi \geqslant \phi _J$ is marked by a clear deviation from the scaling $\phi \sim \sqrt {\textit{Bi}}$, scaling as $\phi \sim \exp {\textit{Bi}}$. We show that this instability-induced jamming transition – analogous to that in dense suspensions – leads to slow, minimally diffusive and rigid-like flows with finite deformability, highlighting a novel phase change in elastic turbulence regimes of complex fluids.
As apex predators, giant otters (Pteronura brasiliensis) are susceptible to the bioaccumulation of heavy metals, particularly in regions where gold-mining contributes to mercury (Hg) pollution. This is the broadest-scale study assessing Hg and selenium (Se) concentrations in the Pantanal. Samples from 10 sites across the Pantanal were analysed using inductively coupled plasma mass spectrometry. We constructed a two-factor generalized additive model (GAM) to investigate the relationship between Hg concentrations in giant otters and their location along river courses in gold-mining areas. To determine the feasibility of merging the dataset from the present study with the dataset of a previous study carried out by our group during 2016–2017, we included the datasets as a factor in the analysis. The GAM results supported the feasibility of merging the datasets. Additionally, we measured Se concentrations due to their potential to mitigate Hg toxicity. Higher Hg levels were found in otters from watercourses near gold-mining areas, with concentrations decreasing downstream, revealing a contamination gradient and the extensive impact of local pollution on wetlands. The highest Hg concentration was recorded in the Bento Gomes River, within a gold-mining area, whereas otters from unconnected sites exhibited lower Hg levels.
In 1893, the British explorer Frederick George Jackson travelled in the north of the Russian Empire, where he learned lessons—particularly in the areas of diet, transport, and clothing—from the Nenets and Sami people. I argue that his travels in this area influenced both his subsequent Jackson-Harmsworth Expedition (1894–97) and British Antarctic expeditions in the early 20th century, including those led by Robert F. Scott and Ernest H. Shackleton
Studying Jackson’s travels and writings can advance discussions about the role of Indigenous knowledge in British Polar exploration in the late 19th and early 20th centuries.
Based on a new reading of both published and archival materials, the paper also charts some forms of knowledge that Jackson struggled to appropriate—particularly the use of reindeer for transport. In examining his failures, I argue that attempts to write Indigenous contributions into the history of exploration must focus on explorers’ failures as well as their successes—and on forms of Indigenous knowledge that proved difficult to use in other contexts.
Accelerated glacier mass loss across the Antarctic Peninsula has consequences for sea level rise and local ecology. However, there are few direct glaciological observations available from this region. Here, we reveal glacier changes on the James Ross Archipelago between 2010 and 2023. The median rate of glacier area loss (remote-sensing derived) increased over the study period, with the most significant changes observed in smaller glaciers. In situ measurements show that ablation has prevailed since 2019/20 with the most negative point surface mass balance change measured as −1.39 ± 0.12 m water equivalent at Davies Dome and Lookalike Glacier in 2022/23 (200–300 m a.s.l.). We identified a tripling of the frontal velocity of Kotick Glacier in 2015, which, combined with terminus surface elevation gains (bulging), suggests that this is the first surge-type glacier identified in Antarctica from velocity and surface elevation change observations. We contend that the glacier recession rate has increased due to increased air temperatures (0.24 ± 0.08°C yr−1, 2010–23), decreased albedo and glacier elevation change feedbacks. These processes could decrease glacier longevity on the archipelago. Future research should prioritise monitoring albedo and rising equilibrium-line altitudes and identify glaciers most vulnerable to rapid future mass loss.
Recent studies reveal the central role of chaotic advection in controlling pore-scale processes including solute mixing and dispersion, chemical reactions, and biological activity. These dynamics have been observed in porous media (PM) with a continuous solid phase (such as porous networks) and PM comprising discrete elements (such as granular matter). However, a unified theory of chaotic advection across these continuous and discrete classes of PM is lacking. Key outstanding questions include: (i) topological unification of discrete and continuous PM; (ii) the impact of the non-smooth geometry of discrete PM; (iii) how exponential stretching arises at contact points in discrete PM; (iv) how fluid folding arises in continuous PM; (v) the impact of discontinuous mixing in continuous PM; and (vi) generalised models for the Lyapunov exponent in both PM classes. We address these questions via a unified theory of pore-scale chaotic advection. We show that fluid stretching and folding (SF) in discrete and continuous PM arise via the topological complexity of the medium. Mixing in continuous PM manifests as discontinuous mixing through a combination of SF and cutting and shuffling (CS) actions, but the rate of mixing is governed by SF only. Conversely, discrete PM involves SF motions only. These mechanisms are unified by showing that continuous PM is analogous to discrete PM with smooth, finite contacts. This unified theory provides insights into the pore-scale chaotic advection across a broad class of porous materials and points to design of novel porous architectures with tuneable mixing and transport properties.
The Caribbean islands represent some of the most biologically diverse places on Earth, but much of that diversity is now at risk due to human impact. Larger islands in the Caribbean host more native species, but small islands still hold together a significant portion of the regional biota. Although our knowledge of extinct and extirpated taxa continues to improve, there are hundreds of islands, each with their own unique faunal histories from where there is little information about their ancient diversity. Sombrero is a very small island (0.38 km2) located within the limits between the Greater and Lesser Antilles and is largely barren of vegetation and freshwater. The island was extensively mined for bird guano in the 1800s, which profoundly altered its topography and fauna. Here, we describe a collection of microvertebrates recovered in 1964 from Sombrero, which documents an unexpectedly high number of colonization events and high extinction rate for this territory. The late Quaternary deposits from the island contain remains of five types of lizards, a snake, a tortoise, and an anuran that colonized the island once it became aerially exposed in the early Pleistocene. The ability for such a small, remote island to have eight colonizing taxa in < 2.5 Ma, provides support for the role that island hopping played in regional biodiversity in the Cenozoic (e.g., GAARlandia), even across small, barren islands. Furthermore, these fossils further show that large scale defaunation also affected vertebrate communities on very small islands in the Caribbean.
Landscape evolution in karst terrains affects both subterranean and surface settings. For better understanding of controlling processes and connections between the two, multiple geochronometers were used to date sediments and speleothems in upper-level passages of Fitton Cave adjacent to the Buffalo River, northern Arkansas, within the southern Ozark Plateau. Burial cosmogenic-nuclide dating of coarse sediments indicates that gravel pulses washed into upper passages at 2.2 Ma and 1.25 Ma. These represent the oldest epigenetic cave deposits documented in this region. Associated sands and clay-rich sediments mostly have reversed magnetic polarity and thermally transferred optically stimulated luminescence dates of 1.2 to 1.0 Ma. Abandonment of these upper passages began before 0.72 Ma, when coarse sediment was deposited in a passage incised below older sediment. Maximum U-series dates of 0.7–0.4 Ma for flowstones capping clastic deposits mark the stabilization of older sediments and a change to vadose conditions that allowed post–0.4 Ma stalagmite growth. Resulting valley incision rates since 0.85 Ma are estimated at 27 m/Ma. Coarse cave-sediment pulses correlate to Laurentide glacial tills about 300 km to the north, suggesting climate influence on periglacial sediment production. Dated cave sediments also may correlate with undated older strath terraces preserved at similar heights above the Buffalo River.
Sít’ Tlein (Malaspina Glacier), located in Southeast Alaska, has a complex flow history. This piedmont glacier, the largest in the world, is fed by three main tributaries that all exhibit similar flow patterns, yet with varying surge cycles. The piedmont lobe is dramatically reshaped by surges that occur at approximately decadal timescales. By combining historical accounts with modern remote sensing data, we derive a surge history over the past century. We leverage the Stochastic Matrix Factorization, a novel data analysis and interpolation technique, to process and interpret large datasets of glacier surface velocities. A variant of the Principal Component Analysis allows us to uncover spatial and temporal patterns in ice dynamics. We show that Sít’ Tlein displays a wide range of behaviors, spanning quiescence to surge with seasonal to decadal variations of ice flow direction and magnitude. We find that in the lobe, surges dominate the velocity dataset’s variance (spanning 1984–2021), while seasonal variations represent a much smaller part of the variance. However, despite the regular surge pulses, the glacier lobe is far from equilibrium, and widespread retreat of the glacier is inevitable, even without further climate warming.
The pressure effects on the mixing fields of non-reacting and reacting jets in cross-flow are studied using large eddy simulation (LES). A hydrogen jet diluted with 30 % helium is injected perpendicularly into a cross-stream of air at four different pressures: 1, 4, 7 and 15 bar. The resulting interaction and the mixing fields under non-reacting and reacting conditions are simulated using LES. The subgrid scale combustion is modelled using a revised flamelet model for the partially premixed combustion. Good agreement of computed and measured velocity fields for reacting and non-reacting conditions is observed. Under non-reacting conditions, the mixing field shows no sensitivity to the pressure, whereas notable changes are observed for reacting conditions. The lifted flame at 1 bar moves upstream and attaches to the nozzle as the pressure is increased to 4 bar and remains so for the other elevated pressures because of the increasing burning mass flux with pressure. This attached flame suppresses the fuel–air mixing in the near-nozzle region. The premixed and non-premixed contributions to the overall heat release in the partially premixed combustion are analysed. The non-premixed contribution is generally low and occurs in the near-field region of the fuel jet through fuel-rich mixtures in the shear layer regions, and decreases substantially further with the increase in pressure. Hence, the predominant contributions are observed to come from premixed modes and these contributions increase with pressure.
Due to the nascency of synthetically derived biological systems, there is a need to develop protocols for safety and security management. These protocols can be adapted from existing safety and security protocols (e.g., Biosafety Level Classification of biological agents) as well as NASA’s and ESA’s planetary protection guidelines. Currently, NASA is preparing for its first sample return mission from Mars including determining how to manage the types of hazards that may be returned to Earth. Synthetic biology can look to risk management practices from related disciplines, and NASA can look to its established protocols from lunar exploration as it strives to minimize Mars sample return bio-risk. Notably, the biosafety concerns of synthetic cell research are very similar to those of planetary back-contamination from extraterrestrial samples. Thus, the measures taken to limit planetary back-contamination can serve to help develop biosafety protocols for synthetic cell research. We summarize existing tools used in planetary protection that can be repurposed to establish protocols for synthetic cell safety and security.
Cosmogenic 7Be and 10Be are effective tracers for studying atmospheric dynamics and Earth’s surface processes, with over 90% of these isotopes reaching the surface via wet deposition. However, the characteristics and influencing factors of 7Be and 10Be wet deposition remain unclear in different regions, limiting the precision of these nuclides as tracers of environmental change. This study analyzes the annual variation of 7Be and 10Be wet deposition in Xi’an and examines the impact of precipitation on their deposition. Ultra-trace levels of 7Be and 10Be in precipitation were synchronously measured using state-of-the-art accelerator mass spectrometry. One-year (July 30, 2020 to September 3, 2021), high-frequency (individual rain events) and time-synchronized series of observations of 7Be and 10Be wet deposition data (n = 49) were analyzed. The total annual wet deposition fluxes of 7Be and 10Be in central China (34.22°N, 109.01°E) for 2020/21 were (218 ± 24) × 108 atoms·m–2·yr–1 and (314 ± 16) × 108 atoms·m–2·yr–1, respectively. Precipitation amount, intensity, and duration were quantitatively analyzed for their effects on total wet deposition flux, mean concentration, washout ratio, deposition velocity, and scavenging coefficient of 7Be and 10Be during individual rain events. The results indicate that precipitation amount is the most significant factor influencing the wet deposition flux of both nuclides.
A block of ice in a box heated from below and cooled from above can (partially) melt. Vice versa, a box of water with less heating from below or more cooling from above can (partially) re-solidify. This study investigates the asymmetric behaviours between such melting and freezing processes in this Rayleigh–Bénard geometry, focusing on differences in equilibrium flow structures, solid–liquid interface morphology, and equilibrium mean interface height. Our findings reveal a robust asymmetry across a range of Rayleigh numbers and top cooling temperature (i.e. hysteretic behaviour), where the evolution of freezing shows a unique ‘splitting event’ of convection cells that leads to a non-monotonic height evolution trend. To characterise the differences between melting and freezing, we introduce an effective Rayleigh number and the aspect ratio for the cellular structures, and apply the heat flux balance and the Grossmann–Lohse theory. Based on this, we develop a unifying model for the melting and freezing behaviour across various conditions, accurately predicting equilibrium states for both phase-change processes. This work provides insights into the role of convective dynamics in phase-change symmetry-breaking, offering a framework applicable to diverse systems involving melting and freezing.
The shape of a free-surface slump of viscoplastic material supported by an oblique barrier on an inclined plane is investigated theoretically and experimentally. The barrier is sufficiently tall that it is not surmounted by the viscoplastic fluid, and a focus of this study is the largest volume of rigid viscoplastic fluid that can be supported upstream of it. A lubrication model is integrated numerically to determine the transient flow as the maximal rigid shape is approached. Away from the region supported by the barrier, the viscoplastic layer attains a uniform thickness in which the gravitational stresses are in balance with the yield stress of the material. However, closer to the barrier, the layer thickens and the barrier bears the additional gravitational loading. An exact solution for the rigid shape of the viscoplastic material is constructed from the steady force balance and computed by integrating Charpit’s equations along characteristics that emanate from the barrier wall. The characteristics represent the late-time streamlines of the flow as it approaches the rigid shape. The exact solution depends on a single dimensionless group, which incorporates the slope inclination, the barrier width and the fluid’s yield stress. It is shown that the shape is insensitive to the transient flow from which it originates. The force exerted by the slump is calculated for different barrier shapes. The results of new laboratory experiments are reported; these show that although convergence to the final rigid state is slow, there is good agreement with the experimental measurements at long times.