Water Flow Research Articles

HYDRAULIC DYNAMICS OF THE REGOLITHIC NEOSOL IN THE CERRADO OF THE SERRA DA CANASTRA NATIONAL PARK-MG

The knowledge of soil water dynamics, as elements are added, removed, and transformed, is an aid to understanding the processes at play in landscapes. Understanding the functioning of natural environments not only contributes to comprehending the natural dynamics of systems but also serves as a reference for adopting measures in areas at different stages of degradation. In this sense, this study sought to analyze the physical/hydraulic characteristics of the Regolithic Neosol in the Serra da Canastra National Park, MG. For this purpose, two different models of field infiltrators were used: namely a rain simulator and a concentric ring infiltrometer. Results involving the use of a rain simulator indicated high soil infiltration capacity (99.31%) even when subjected to high-intensity events (57.4 mm/h). The ring infiltrometer revealed high values of basic infiltration velocity (317.58 mm/h). These values indicate that despite being shallow (20 cm), the soil, characterized by coarse material (sand and lateritic gravel), has a high capacity to incorporate water precipitated into the profile, generating subsurface lateral flows between the higher and lower parts of the slope and causing the movement of iron along with underground water flow.

K-Mg salt distribution in the Zechstein Group of the Northern Permian Basin (UK and Norway)—Interplays with the Southern Permian Basin and implications for salt cavern development

The Zechstein Group in the Northern Permian Basin (UK and south Norway sectors of the North Sea) is subdivided into four halite-rich evaporitic sequences. These sequences contain K-Mg salts, the amount and distribution of which are still poorly constrained. Understanding the lithological variations of the evaporites is important for understanding the syn- to post-salt basin evolution and for predicting the development of salt caverns. We compiled well data to perform intra-salt correlations and to constrain the stratal architecture of the halite-rich units. Our results enable refinement of depositional zones of the Zechstein Group in the Northern Permian Basin with emphasis on the spatial distribution of the K-Mg salt deposits. Our analysis suggests that K-Mg salts were preferentially precipitated in the Forth Approaches Basin and north of the West Central Shelf. This was likely the result of geographic position restricting the direct influx of marine water and early halokinetic movements associated with salt relief that promoted the development of isolated intra-salt minibasins. We then use the revised stratigraphy of the Zechstein Group to propose an evolutionary scenario of the Zechstein Group that considers both the Northern Permian Basin and the Southern Permian Basin and that highlights discrepancies in the bathymetric conditions of halite deposition and the spatial repartition of the K-Mg salts. Finally, our results allow an assessment of the potential risk of finding insoluble deposits or K-Mg salts in bedded salt, salt pillows, or salt diapirs that are otherwise suitable in terms of depth and thickness for the development of salt caverns in the Northern Permian Basin.

The Corrosion Behavior of Carbon Steel Materials Used at Nuclear Power Plants During Deactivation and Decommissioning Processes

This study is focused on the corrosion behavior of carbon steel A106 B in a static water environment, which simulated the decommissioning transition phase of BWR power plants. When the autoclave was filled with stagnant water, the corrosion rates of carbon steel pipe for the cold-drawn and hot-rolled samples were 23 μm/year and 19 μm/year, respectively. When the autoclave was not completely filled with water, leaving the samples fully submerged, the corrosion rate for the hot-rolled sample increased to 88 μm/year. In an autoclave with periodic water flow, the corrosion rate for the cold-drawn sample decreased to 11 μm/year. When the autoclave was not completely filled with water, the sample positioned at the air–water interface exhibited the highest corrosion rate of approximately 102 μm/year. These results indicate that the influence of ion concentration on the corrosion rate outweighed that of dissolved oxygen. Sufficient oxygen concentration facilitated the formation of FeOOH or Fe2O3, while an oxygen-deficient environment favored the formation of Fe3O4.

Water footprint and virtual water trade of apples: Insights from India

India is a prominent producer and exporter of apples globally. However, apple cultivation requires significant water resources, and the water foot- print associated with apple production and trade in India has not been thor- oughly quantified. This study quantified the water footprint associated with apple production in India from 2000 to 2023, as well as the virtual water trade between 2018 and 2023. State-wise data on Indian apple production was collected and analyzed to assess the domestic water footprint, while trade data was compiled to estimate the virtual water flow associated with apple imports and exports. The results showed that the water footprint of Indian apple production averaged 2,430 million cubic meters (Mm3 ) annual- ly. This substantial footprint was primarily composed of green water (69.9%), along with blue water (23.9%) and grey water (6.2%). In terms of virtual water trade, India was a net importer with 27.8 Mm3 of virtual water embodied in apple imports from major exporters such as Turkey, Iran and Italy. This analysis underscores the considerable water footprint of Indian apple production and the nation's significant net inflow of virtual water re- sources through the apple trade. Additionally, the study highlights the im- portance of considering virtual water flow in agricultural trade policies to achieve sustainable and equitable water resource management.

Application of the CMIP6 Approach for Determination of Climate Change Impact on Inflow to Malampuzha Reservoir, India

Optimal operation of a reservoir is important for the efficient planning and management of water resources. Inflow estimation into the reservoir is the basic information needed by a policy maker for the optimal planning of the reservoir operation. Climate change has become a major cause for the changes in the hydrological phenomena. An attempt was made to analyse the impact of climate change on Malampuzha reservoir inflow for the future using recent Shared Socioeconomic Pathways (SSP) scenarios. Two SSP scenarios, SSP 245 and SSP 585 were considered for the evaluation of changes in the meteorological variables for the future period. Rainfall-runoff modelling of the catchment area of the Malampuzha reservoir was done with IHACRES model for the period 2003-2022. The model performance was accepted in calibration (2003-2016) and validation (2017-2022) periods with R2 of 0.90 and 0.91 and RMSE 2.63 and 4.53 m3/s respectively. The outputs of SSP245 and SSP585 scenarios were given to the developed runoff model to estimate the future inflow volume into Malampuzha reservoir for the period of 2023 to 2042. From the results, the change in monthly temperature varies from -0.88oC to 3.3oC and change in monthly precipitation varies from -0.64% to 1.73% which indicates a decrease in the inflow of water into the reservoir for future period by 2.6% and 9.3% than the base period (2003– 2022) for SSP245 and SSP585 scenarios, respectively. The results of the study implies that better planning of the reservoir operation is needed for meeting the future demands.

Removal of Sulfur Content in Groundwater Using Marble Filter in a Cascade Design

Alluvial aquifer are one of Malaysia’s most abundant groundwater resources, highly demanded in East Coast area. However, the presence of sulfur in these aquifers causes the emission of hydrogen sulfide gas. This research aimed to provide an alternative study for removing sulfur using marble filter media in a cascade column design, where water flows from the highest to the lowest column. Two groups of marble sizes were involved in this filter: pebbles and sand-sized particles. The treatment used raw groundwater with the highest concentration of total sulfur being 537.1 ppm. Sand-sized marble had the highest efficiency of sulfur removal, reaching 98.3% at a flow rate of 0.011 l/s. As a result of the effective filtration, the true color reached 33-34 pt/Co, significantly reduced from the source value of 1000-1012 pt/Co. The application of marble for treating groundwater with the sulfur issue is still novel and promising for groundwater filtration, potentially benefiting consumers facing this problem.

Technical note: A low-cost, automatic soil–plant–atmosphere enclosure system to investigate CO2 and evapotranspiration flux dynamics

Abstract. Investigating greenhouse gases (GHGs) and water flux dynamics within the soil–plant–atmosphere interphase is key for understanding ecosystem functioning, as they reflect the ecosystem's responses to environmental changes. Understanding these responses is essential for developing sustainable agricultural systems that can help to adapt to global challenges such as increased drought. Typically, an initial understanding of GHGs and water flux dynamics is gained through laboratory or greenhouse pot experiments, where gas exchange is often measured using commercially available manual closed-chamber (leaf) systems. However, these systems are rather expensive and often labor-intensive, thus limiting the number of different treatments and their repetitions that can be studied. Here, we present a fully automatic, low-cost (EUR <1000 per unit) multi-chamber system based on Arduino, termed “greenhouse coffins”. It is designed to continuously measure canopy CO2 and evapotranspiration (ET) fluxes. It can operate in two modes: an independent and a dependent measurement mode. The independent measurement mode utilizes low-cost NDIR (non-dispersive infrared) CO2 (K30 FR) and relative humidity (SHT31) sensors, thus making each greenhouse coffin a fully independent measurement device. The dependent measurement mode connects multiple greenhouse coffins via a low-cost multiplexer (EUR <250) to a single infrared gas analyzer (LI-850, LI-COR Inc., Lincoln, USA), allowing for measurements in series, achieving cost efficiency while also gaining more flexibility in terms of target GHG fluxes (potential extension to N2O, CH4 and stable isotopes). In both modes, CO2 and ET fluxes are determined through the respective concentration increase during closure time. We tested both modes and demonstrated that the presented system is able to deliver precise and accurate CO2 and ET flux measurements using low-cost sensors, with an emphasis on calibrating the sensors to improve measurement precision. By connecting multiple greenhouse coffins via our low-cost multiplexer to a single infrared gas analyzer in the dependent mode, we could additionally show that the system can efficiently measure CO2 and ET fluxes in a high temporal resolution across various treatments with both labor and cost efficiency. Therefore, the developed system is expected to be a valuable tool for conducting greenhouse experiments, enabling comprehensive testing of plant–soil dynamic responses to various treatments and conditions.

Integrating neural network in advanced flow sensors for enhanced fluid flow characterization in conduit using carbon black

The proposed work involves the use of a carbon black coated sensor to measure the flow rate in a circular pipe and to monitor the pressure developed therein using a novel system with the change in electrical resistance. The carbon black coated sensor was made using the dip coating method in various proportions such as 5 wt%, 10 wt%, 15 wt%, and 20 wt%. The pressure measurements were taken using the working model and the data acquisition module. When a liquid flows through the pipe, it causes a change in the electrical resistance of the carbon black coating, which is then detected by the electrodes connected to the sensor. The actual water flow rate is determined using the general equation and the electrical resistance is also noted simultaneously. A mathematical model was developed to monitor the flow in real time between the actual flow rate and the electrical resistance. It was found that 5 wt% carbon black has the highest sensitivity of 3.06 compared to the other proportions 10 wt%, 15 wt%, and 20 wt% which are 2.24, 1.71, and 1.15 respectively. The sensor with 5 wt% carbon black was further used to calculate the predicted water flow rate using the regression model. The obtained R2 value is 0.98, which confirms the strong correlation between the actual water flow rate and the calculated water flow rate. Then the prediction modeling is performed using the neural network, and the obtained data points were trained and tested. With a prediction error of less than 6%, the proposed approach provides exponentially cost-effective monitoring of the liquid flow rate.

Atmosphere–Ocean–Sea Ice Feedbacks Sustain Recent Barents Sea Ice Loss despite Cooler Atlantic Water Inflow

Abstract Winter sea ice cover has declined faster in the northern Barents Sea (NBS) than in the rest of the Arctic Ocean. One of the key elements controlling sea ice extent in the NBS is the inflow of warm and saline Atlantic water (AW) through the Barents Sea Opening. We show that despite a pronounced decadal variability in the AW temperature with a cooling trend since the mid-2000s, sea ice in the NBS continues to decline. We find that the sea ice decline is partly caused by reduced oceanic heat loss in the southern Barents Sea (SBS) and subsequent transport of warmer AW downstream to the NBS. Moreover, reduced heat loss contributes to increased sea surface height (SSH) in the SBS and sets up a meridional SSH gradient between SBS and NBS. This reduces the inflow of colder Arctic waters from the eastern Barents Sea, which contributes to further warming in the NBS. Results from idealized coupled climate model experiments with reduced Arctic sea ice suggest that these observed features can be driven by sea ice loss. Thus, despite the AW cooling trend, positive feedback from sea ice loss in the NBS, which involves reduced oceanic heat loss in the SBS and less inflow of cold Arctic waters, favors a continuous decline of sea ice in the NBS. Significance Statement Barents Sea region of the Arctic, with the largest changes in terms of atmospheric warming and sea ice loss, is of crucial importance not only for the Arctic region but also has potential implications for weather and climate in midlatitudes and the tropics. Here, in this study, we employ comprehensive approach with observational datasets and climate model experiments to identify recent on-going changes in Barents Sea climate and highlight the importance of sea ice loss in it.

Contrasting Southern Ocean Sea Level Responses to Surface Flux Changes in Eddy-Rich and Eddy-Parameterized Climate Model Configurations

Abstract The impact of ocean model resolution on sea level projections in the Southern Ocean is investigated using eddy-rich (ER) and eddy-parameterized configurations of the Max Planck Institute Earth System Model under the Shared Socioeconomic Pathway (SSP) 5-8.5 scenario. We employ the Flux-Anomaly Forced Model Intercomparison Project (FAFMIP) experiment—heat, stress, and freshwater perturbations—at both resolutions to pinpoint the sources of these differences. South of 55°S, we found that the changes in thermosteric and halosteric sea levels vary substantially between resolutions due to different responses to freshwater perturbations. In the eddy-parameterized model, the resulting increase in stratification suppresses the mixing of salt and heat from the Circumpolar Deep Water with surface layers. These cause differences in the response of surface fluxes and meridional transports yielding an increase in thermosteric sea levels and a decrease in halosteric sea levels. In the eddy-rich configuration, the main driver of eddy-induced warming and salinification between 40° and 44°S is wind stress perturbations. The efficiency of direct eddy effects in ER is restricted to small areas such as the Agulhas Retroflection, the Brazil–Malvinas confluence zone, the Tasman Sea, and, to some extent, the Antarctic Circumpolar Current (ACC). Contrary to expectations, ACC transport increases in the eddy-rich model while decreasing in the eddy-parameterized model under the SSP5-8.5 scenario. FAFMIP results reveal that this decrease is a result of the overcompensation of wind-induced changes by freshwater flux forcing. These results underscore the critical importance of high-resolution models for capturing the processes in sea level projections in the Southern Ocean and beyond. Significance Statement We studied how ocean model resolution affects sea level projections in the Southern Ocean using Max Planck Institute Earth System Model simulations. Higher-resolution models provide a more accurate representation of ocean circulation and its response to changing forcings. We examined how surface heat, momentum, and water fluxes, both separately and combined, shape ocean dynamics. In a strong global warming scenario, significant differences in steric sea level change were observed south of 55°S between the model that simulates eddies and the one that has their effects parameterized. The response to surface freshwater forcing is the primary cause of these differences. Our findings emphasize the critical role of ocean model resolution in accurately understanding and predicting future sea level changes, which is essential for effectively addressing our needs for adaptation.

Flexible Mechanical Sensors for Plant Growth Monitoring: An Emerging Area for Smart Agriculture

The last decade has seen significant progress in the development of flexible electronics and sensors, particularly for display technologies and healthcare applications. Advancements in scalable manufacturing, miniaturization, and integration have further extended the use of this new class of devices to smart agriculture, where multimodal sensors can be seamlessly attached to plants for continuous and remote monitoring. Among the various types of sensing devices for agriculture, flexible mechanical sensors have emerged as promising candidates for monitoring vital parameters, including growth rates and water flow, providing a new avenue for understanding plant health and growth under varied environmental conditions. This perspective provides a snapshot of recent progress in this exciting and unconventional area of research and highlights potential opportunities for the future.

Local and Downstream Effects of Vertical Soil Water Flow on Summer Persistent Extreme Precipitation Events in Southeast China

Local and Downstream Effects of Vertical Soil Water Flow on Summer Persistent Extreme Precipitation Events in Southeast China

Modeling of Oil–Water Two-Phase Flow in Horizontal Pipes Using CFD for the Prediction of Flow Patterns

A computational fluid dynamics study of the horizontal oil–water flow was performed using the Eulerian–Eulerian and mixture multiphase models in conjunction with the realizable k–ε turbulence model for the characterization of flow patterns. The experimental tests were carried out using water and mineral oil with a density of 880 kg/m3 and a viscosity of 180 cP, varying the superficial velocities of both fluids in ranges of 0.1–1.2 m/s and 0.1–0.5 m/s, respectively. The numerical model was defined under the same initial and boundary conditions as in the experiment. Moreover, the model is defined such that entering the fluids in a mixed state, the stratified pattern could form adequately with the two multiphase models. Although the Eulerian–Eulerian model, together with the geometric reconstruction scheme, allowed us to visualize the three-dimensional dispersed patterns in a very similar way to the experimental results, the mixture model did not exhibit such similarity, especially in the oil-in-water dispersions. Additionally, the Eulerian–Eulerian model was able to predict the experimental holdup values with an average error of 15.2%.

Assessment of Photovoltaic Thermal Efficiency using Phase Change Material and Water-Channel Collector with T-Fin Design

Photovoltaic thermal systems, also known as hybrid solar panels, combine photovoltaic and solar thermal components to generate both electrical and heat energy from the sun. Despite solar energy has significant potential, conventional photovoltaic systems suffer from low efficiencies due to the wasted heat energy and high working temperature. This research aims to develop and examine the efficiency of a photovoltaic thermal system integrated with commercial phase change material (PCM) using copper T-fin absorber to increase solar energy conversion efficiency. The research involved fabricating aluminium packets for commercial PCM, filling fabricated packets into a developed photovoltaic thermal system with T-fin absorber, and conducting final experiments under three different water flow rates for each of three different irradiance levels under solar simulator with 30 minutes run for each test. The final experiment assessed temperature difference, electrical efficiency, thermal efficiency, and overall efficiency. At 800 W/m² and 90 l/h, the highest temperature drop was 11.20°C. The highest electrical efficiency of 8.0% was achieved at 800 W/m2 and 90 l/h. The highest thermal efficiency was 72.5% at 400 W/m² and 90 l/h. The highest overall efficiency of 79.8% at 400 W/m² and 90 l/h for the T-fin absorber. These results concluded the enhanced heat transfer capability and contribution to higher overall system efficiency after integrated commercial PCM and T-fin absorber.

Effect of Volumetric Flow Rate on Heat Transfer Characteristics of Single-Fractured Rock with Different Surface Morphology and External Temperature

The primary aim of this study is to explore how varying flow rates impact the heat transfer in single fractures, taking into account the effects of surface roughness, aperture and external temperature of the rock. Utilizing COMSOL Multiphysics, the fluid flow and heat transfer through 3D fracture models characterized by different roughness and apertures were simulated with volumetric flow rates ranging from 1 × 10−6 m3/s to 1 × 10−5 m3/s. The combined effects of these factors on key metrics, including outlet temperature, thermal breakthrough time, energy extraction efficiency, and heat transfer coefficients were systematically analyzed. The results indicate that water flow rate dominantly influences heat transfer, followed by fracture surface morphology and rock external temperature. Higher flow rates enhance both heat transfer and total heat extraction, while also increasing temperature non-uniformity, which improves overall heat extraction efficiency. Surface roughness significantly affects temperature distribution, leading to heterogeneous thermal profiles, especially in narrower fractures. Additionally, higher external temperatures and flow rates facilitate faster thermal breakthroughs by reducing thermal resistance. The interplay between surface roughness and thermal breakthrough time is intricate, with increased roughness prolonging breakthrough times in smaller apertures but potentially reducing them in larger ones. At smaller apertures, increasing the JRC from 2.29 to 17.33 results in a 1.01 to 1.20 times increase in thermal breakthrough time, whereas at larger apertures, thermal breakthrough time decreases by a factor of 1.01 to 1.29. This highlights the importance of carefully selecting fluid parameter in the design of geothermal projects to optimize heat extraction efficiency.

A Study on the Flow Measurement Performance of the Plate Flowmeter and Its Effect on Channel Flow Velocity Distribution

The plate flowmeter offers a novel method for water flow measurement in small channels. Characterized by its simple construction, absence of siltation, and consistent relationship between the deflection angle and flow rate, this device possesses significant potential. Our study, employing rigorous experimental techniques, validated that the gate-hole outflow calculation model is effectively applicable to this plate flowmeter. Additionally, our research investigated the device’s impact on flow velocity distribution. Our findings reveal that the plate flowmeter can be effectively combined with the sluice gate outflow model. It has been verified that the maximum relative error is 14.57%, the minimum relative error is 0.35%, and most relative errors are below 10%. Both water level and flow rate contribute to the flat plate device’s relative head loss, with water level exerting a more significant effect. At various points along the channel, the plate flowmeter affects flow velocity distribution differently. Upstream, the device minimally impacts vertical flow velocity distribution, resulting in steady velocity changes. Conversely, downstream, the flat plate flow meter significantly alters flow velocity distribution, prompting redistribution that persists until 1.26 m downstream, where device influence ceases. These insights offer a solid theoretical foundation for enhancing the structural design of the plate flowmeter, thus improving its overall performance and efficacy.

A GEOSPATIAL FRAMEWORK FOR SELF-SUSTAINING URBAN METABOLISM IN SOUTH TANJUNG DUREN AREA, WEST JAKARTA

Urban metabolism plays a crucial role in shaping the sustainable development of regions since it relates to how resources are consumed, transformed, and disposed of dynamically. In an increasingly urbanized world, effective regional planning is essential to address challenges such as resource depletion, environmental degradation, and socio-economic issues. This study aims to create an implementation framework for urban metabolism in South Tanjung Duren, West Jakarta, selected as part of a larger urban metabolism model. The research introduces a practical approach for urban designers, architects, and local authorities to establish self-sustaining urban areas. The methodology consists of two stages. In the first stage, the study thoroughly assesses the object of the study. This includes profiling the essential aspects of the object study, environmental impact assessments, mapping material and energy flows, and categorizing groups to optimize urban metabolism. Findings from this stage shape the second stage, which uses urban infill strategies via four approaches: Collecting Resources, Creating Biotopes, Channeling Energy, and Catalyzing. These strategies are simulated on the study site to analyze flows of goods, people, waste, biota, energy, food, water, sand, clay, and air, creating a geospatial framework for self-sustaining urban metabolism. The findings underscore that South Tanjung Duren has strong potential for implementing an urban metabolism framework, with simulations revealing increased resource efficiency, effective waste reduction, improved green space, and minimized environmental impact. This framework not only enhances resource optimization and environmental protection but also fosters sustainable development, positioning South Tanjung Duren as a replicable model for resilient, self-sustaining urban neighborhoods.

Health Monitoring Technology for Hydraulic Engineering Gates Based on Multi-Sensor Data Fusion

An essential part of the hydraulic engineering systems, hydraulic gates regulate water flow in dams and other structures. To avoid structural problems, they must ensured to be consistent. Multi-sensor data fusion has become a key tool for health monitoring with advances in machine learning (ML) and sensor technologies. This study aims to provide a novel multi-sensor data fusion health monitoring system for hydraulic engineering gates. To provide more effective and precise real-time monitoring of hydraulic engineering gates, a unique Dynamic Satin Bowerbird search-driven Bidirectional Long Short-Term Memory (DSB-BiLSTM) model were proposed. The hydraulic monitoring dataset was collected from Kaggle website, comprising information and some attributes obtained from hydraulic engineering gates. To improve data quality, noise reduction, and data normalization are used. Time-series analysis techniques extract important information such as vibration patterns and pressure variations. The DSB-BiLSTM model leverages bidirectional LSTM to progress time-dependent data, and the Satin Bowerbird search optimizes sensor selection. The method shows better accuracy and efficiency in identifying potential faults compared to traditional models. When compared to four attributes such as pump, cooling, valve and accumulator with the metrics outcomes of 0.9901, 0.9925, 0.9950, and 0.9890 in accuracy, 0.9930, 0.9960, 0.9902, and 0.9889 in precision, 0.9920, 0.9960, 0.9911, and 0.9890 in recall, and 0.9915, 0.9955, 0.9905, and 0.9889 in F1-score, the DSB-BiLSTM model performs better than all other approaches that were examined. This suggests better overall hydraulic engineering gate health monitoring performance. The proposed DSB-BiLSTM model is a show potential solution for real-time health monitoring of hydraulic gates, provided that it enhances accuracy and reduces computational complexity.

The Riemann problem for two-layer shallow water equations with bottom topography

Abstract In this article, we propose a model describing laminar shallow water flows with two velocities to handle an uneven bottom. The model is established by taking the different velocities into account. The source terms generated from the bottom topography prevent us from solving the Riemann problem directly. We first derive the elementary waves including the stationary wave where the global entropy condition is used to ensure uniqueness. Then, we analyze the resonance phenomenon and coalescence of waves by classifying the initial data into different regions. Finally, the Riemann problem is resolved explicitly on a case-by-case basis.

New insights into uranium stress responses of Arabidopsis roots through membrane- and cell wall-associated proteome analysis.

Uranium (U) is a non-essential and toxic metal for plants. In Arabidopsis thaliana plants challenged with uranyl nitrate, we showed that U was mostly (64-71% of the total) associated with the root insoluble fraction containing membrane and cell wall proteins. Therefore, to uncover new molecular mechanisms related to U stress, we used label-free quantitative proteomics to analyze the responses of the root membrane- and cell wall-enriched proteome. Of the 2,802 proteins identified, 458 showed differential accumulation (≥1.5-fold change) in response to U. Biological processes affected by U include response to stress, amino acid metabolism, and previously unexplored functions associated with membranes and the cell wall. Indeed, our analysis supports a dynamic and complex reorganization of the cell wall under U stress, including lignin and suberin synthesis, pectin modification, polysaccharide hydrolysis, and Casparian strips formation. Also, the abundance of proteins involved in vesicular trafficking and water flux was significantly altered by U stress. Measurements of root hydraulic conductivity and leaf transpiration indicated that U significantly decreased the plant's water flux. This disruption in water balance is likely due to a decrease in PIP aquaporin levels, which may serve as a protective mechanism to reduce U toxicity. Finally, the abundance of transporters and metal-binding proteins was altered, suggesting that they may be involved in regulating the fate and toxicity of U in Arabidopsis. Overall, this study highlights how U stress impacts the insoluble root proteome, shedding light on the mechanisms used by plants to mitigate U toxicity.