Physical Processes Research Articles

Replacement of Sulfur Dioxide in White, Rosé, and Red Wines by a Blend of Tannins Extracted from Multiple Plant Materials

For a long time, sulfur dioxide (SO2) has been the most universally used additive in winemaking. With its wide range of effects, ease of use, and low cost, sulfur dioxide has not yet been completely replaced by any process or substance. Since the expected trend for the near future is to keep reducing the concentration of sulfites, many investigations focus on alternative chemical, biological, or physical processes. This study aims to evaluate the chemical, antioxidant, and sensory impact of a plant-based product used as sulfur dioxide replacement (SDR) in white, rosé, and red wines produced as a result of the application of different vinification protocols. The physicochemical and sensory evaluation of the different wines produced showed that this plant-based product could be a good candidate, but appropriate winemaking treatments and optimization are needed to limit wine defects.

Experiences of loneliness and social isolation among young people with chronic physical conditions: A thematic synthesis of qualitative studies.

Young people with chronic health conditions are among the most at risk of having poor social connections, however, little is known about their experiences of loneliness and social isolation. We aimed to describe the perspectives and experiences of loneliness and social isolation among young people with chronic physical conditions. We searched MEDLINE, Embase, PsycINFO, CINAHL, and CENTRAL from inception to May 2023 for qualitative studies that described the perspectives of loneliness and social isolation in young people aged 10-24 years with chronic physical conditions. Findings from the included studies were analyzed using thematic synthesis. We included 35 studies across 12 countries involving 723 participants (56% female). Most studies (63%) were conducted in young people with cancer. Four major themes were identified: suffering from repercussions of disease (struggling with body image and physical changes, intensified disconnection while hospitalized); hindering relationships with peers and friends (missing out on formative experiences, feeling stuck behind, restrictive parental attitudes); grappling with social exclusion (facing concerns alone, bullying and ostracism); seeking social support and self-help (reliance on family, kindness and empathy from friends, developing rapport with healthcare professionals, discovering self in adversity). Symptoms, treatments, and hospitalizations limited young people's social participation and ability to maintain friendships, and this was compounded by social exclusion and bullying. Supportive friends, family, and healthcare professionals helped mitigate feelings of isolation. Interventions and strategies are needed to improve social support and foster meaningful connections. This can be achieved through education and awareness initiatives that promote inclusion in schools and the community, as well as efforts to enhance social support and continuity of care in hospitals.

Learning to Hunt on the Go: Dietary Changes During Development of Rhinolophid Bats

Mammals may experience physical changes from birth, and their diet varies at different stages of life. This study investigates the impact of development on the diet composition of three horseshoe bats: Rhinolophus euryale, R. hipposideros, and R. ferrumequinum in the Basque Country, north of the Iberian Peninsula. The diets of juvenile and adult individuals of each species were obtained by analysing their droppings using metabarcoding and then compared at (1) the taxonomic and (2) prey trait levels (size, flying speed, hardness). The diets of juvenile and adult individuals of R. euryale and R. hipposideros showed significant differences at the taxonomic level and regarding prey traits. In contrast, in the case of R. ferrumequinum, we could only observe discernible diet patterns through the trait analysis. Additionally, we discovered a shared pattern: younger individuals tend to feed on easier-to-hunt and/or handle smaller and smoother prey. The varying degrees of dissimilarity between juvenile and adult diets observed in this study suggest that the relative importance of psychomotor development, foraging strategies, prey discrimination, and/or spatial learning may differ among species. These findings contribute to conservation efforts, especially by recognising the dietary needs of juveniles for their survival and successful development.

Extreme Events Contributing to Tipping Elements and Tipping Points

AbstractThis review article provides a synthesis and perspective on how weather and climate extreme events can play a role in influencing tipping elements and triggering tipping points in the Earth System. An example of a potential critical global tipping point, induced by climate extremes in an increasingly warmer climate, is Amazon rainforest dieback that could be driven by regional increases in droughts and exacerbated by fires, in addition to deforestation. A tipping element associated with the boreal forest might also be vulnerable to heat, drought and fire. An oceanic example is the potential collapse of the Atlantic meridional overturning circulation due to extreme variability in freshwater inputs, while marine heatwaves and high acidity extremes can lead to coral reef collapse. Extreme heat events may furthermore play an important role in ice sheet, glacier and permafrost stability. Regional severe extreme events could also lead to tipping in ecosystems, as well as in human systems, in response to climate drivers. However, substantial scientific uncertainty remains on mechanistic links between extreme events and tipping points. Earth observations are of high relevance to evaluate and constrain those links between extreme events and tipping elements, by determining conditions leading to delayed recovery with a potential for tipping in the atmosphere, on land, in vegetation, and in the ocean. In the subsurface ocean, there is a lack of consistent, synoptic and high frequency observations of changes in both ocean physics and biogeochemistry. This review article shows the importance of considering the interface between extreme events and tipping points, two topics usually addressed in isolation, and the need for continued monitoring to observe early warning signs and to evaluate Earth system response to extreme events as well as improving model skill in simulating extremes, compound extremes and tipping elements.

Understanding Climate Change by Modeling the Earth's Atmosphere as a Well‐Stirred Tank

AbstractComing to terms with climate change by understanding climate processes and their policy implications is essential not only for climate scientists and policymakers, but also for the general public, for industrial practitioners, and for engineers, including process system engineers. We have developed a simplified linear climate model (SLCM) to enable non‐specialists to explore the essential physical and chemical processes caused by greenhouse gas emissions. Trading‐off simplicity and accuracy, achieved by calibrating model parameters using established simple climate models, the SLCM allows (i) determining the climate impact of given past and future emissions, (ii) determining the amounts of CO2 removal needed to compensate for any unavoidable emissions of CH4 and N2O from agriculture, and (iii) back‐calculating emission pathways to meet specified global warming targets.

Physicochemical Investigations of Textile Wastewater and Process Parameter Optimization for Bio-decolorization of Congo Red Dye by Pseudomonas aeruginosa MT-2 Strain

Pollution caused by dyes is a major environmental threat, posing adverse impacts on humans, animals, and plants. Therefore, the remediation of such pollutants is essential to protect the environment. This study aimed to conduct physicochemical and bacteriological analyses of textile wastewater to isolate and identify potential native bacterial strains for the decolorization of Congo red dye. Physical and nutritional process parameters were optimized to achieve maximum decolorization. The biological and chemical oxygen demands of the analyzed textile waste water were found to be above the recommended limits. In this study, 19 Congo red -decolorizing bacteria were isolated, with one bacterial culture capable of growing at a higher dye concentration of 300 mg/L. This bacterium was characterized biochemically and genetically (using 16S rRNA sequencing) and identified as the Pseudomonas aeruginosa MT-2 strain. A maximum decolorization of 94.0% was achieved at an initial dye concentration of 150 mg/L, 35°C, and pH 8.0 under static conditions. The bacterial culture also showed resistance to heavy metals such as arsenic, lead, and chromium. The biodegradation of Congo red dye was confirmed through UV-vis spectral analysis and Fourier transform infrared spectrophotometry. The findings of this study demonstrate the high remediation potential of the MT-2 strain, making it suitable for possible use in dye biodecolorization at contaminated sites.

The history of hydrological studies on the Mekong floodplains – from colonial experiments to computational models

ABSTRACT This paper investigates the interwoven history of hydrological studies and water infrastructure development on the Mekong floodplains. On the basis of an extensive literature review, archival work, and key informant interviews, we unravel the making of an expert-led understanding of the Mekong floodplains – from the detailed reports written by colonial engineers during the French protectorate in the late 19th century to the development of the first computational models, developed in the 1960s on punch-cards and in Fortran. We show how these studies not only reflect the objectives of successive powers and their relationships to local communities but also shaped the landscape and hydrology of the Mekong floodplains and continue to do so through a variety of water infrastructure development projects. This serves as a call to conceive of hydrological knowledge as contingent rather than as a neutral depiction of physical processes that exists independently from the conditions of its production.

Oxygen optodes on oceanographic moorings: recommendations for deployment and in situ calibration

Increasing interest in the deployment of optical oxygen sensors, or optodes, on oceanographic moorings reflects the value of dissolved oxygen (DO) measurements in studies of physical and biogeochemical processes. Optodes are well-suited for moored applications but require careful, multi-step calibrations in the field to ensure data accuracy. Without a standardized set of protocols, this can be an obstacle for science teams lacking expertise in optode data processing and calibration. Here, we provide a set of recommendations for the deployment and in situ calibration of data from moored optodes, developed from our experience working with a set of 60 optodes deployed as part of the Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP). In particular, we detail the correction of drift in moored optodes, which occurs in two forms: (i) an irreversible, time-dependent drift that occurs during both optode storage and deployment and (ii) a reversible and pressure-and-time-dependent drift that is detectable in some optodes deployed at depths greater than 1,000 m. The latter is virtually unidentified in the literature yet appears to cause a low-bias in measured DO on the order of 1 to 3 µmol kg−1 per 1,000 m of depth, appearing as an exponential decay over the first days to months of deployment. Comparisons of our calibrated DO time series against serendipitous mid-deployment conductivity-temperature-depth (CTD)-DO profiles, as well as biogeochemical (BGC)-ARGO float profiles, suggest the protocols described here yield an accuracy in optode-DO of ∼1%, or approximately 2.5 to 3 µmol kg−1. We intend this paper to serve as both documentation of the current best practices in the deployment of moored optodes as well as a guide for science teams seeking to collect high-quality moored oxygen data, regardless of expertise.

MastitisApp: a software for preventive diagnosis of mastitis in dairy cows

Dairy farming has great economic value in Brazil, however, during production, diseases such as mastitis can occur in animals, which can reduce productivity and, consequently, economic profitability. When mastitis is present in animals, it can cause physical and chemical changes in the milk, affecting its quality, market value and also compromising the health of the animal. MastiteApp is a tool to help producers prevent mastitis in their herds by checking the temperature taken from the four teats of the animal. To perform the analysis, the temperature of all the animals' teats must be measured and, if there is a change in temperature, the system will display a message informing the producer of the possible presence of subclinical mastitis in their animal. The application has proven to be efficient in alerting producers to the possible presence of subclinical mastitis in the first few days of manifestation, thus initiating treatment and preventing the disease from worsening.

Evolution and Drivers of Extreme Subsurface Marine Heatwaves in the Western Tropical Pacific Ocean during 2008 and 2010–11

Abstract Marine heatwaves (MHWs) have adverse impacts on marine ecosystems and fisheries, yet extreme MHWs in the western tropical Pacific Ocean remain largely unexplored. Here, we investigate the evolution and drivers of the two strongest subsurface MHWs in the western tropical Pacific Ocean on record, in 2008 (MHW-08) and 2010–11 (MHW-11). The two events have similar evolutions, as they were both initiated and developed locally in tropical regions during their onset phase and gradually dissipated with multiple cores during the decay phase. We examined the physical processes during the evolution of MHW-08 and MHW-11 and performed a heat budget analysis for the subsurface layer in each case. We find that the onset of both events were mainly controlled by convergence and vertical heat advection due to anomalous Ekman downwelling, while the decay of both events was mainly controlled by horizontal heat advection due to anomalous horizontal currents and withdrawal of anomalous convergence. The relationship between the subsurface MHWs and El Niño–Southern Oscillation is discussed. We suggest that the anomalous heat advections plus the La Niña–related background warming lead to the extreme subsurface MHW events. Our findings may have important implications for environmental change and marine life in the western tropical Pacific Ocean.

Ultra-relativistic electron flux enhancement under persistent high speed solar wind stream

The physical mechanisms usually applied to explain the relativistic electron enhancement have been delved into to elucidate non-adiabatic electron acceleration resulting in the ultra-relativistic electron population observed in the outer radiation belt. We considered multisatellite observations of the solar wind parameters, magnetospheric waves, and particle flux to report an unusual local acceleration of ultra-relativistic electrons under a prolonged high-speed solar wind stream (HSS). A corotating interaction region reaches the Earth’s bowshock on August 3, 2016, causing a minor geomagnetic storm. Following this, the magnetosphere was driven for 72 h by a long-term HSS propagating at 600 km/s. During this period, the magnetosphere sustained both ultra-low frequency (ULF) and very-low frequency (VLF) waves in the outer radiation belt region. Besides the waves, the relativistic and ultra-relativistic electron fluxes were enhanced with different time lags regarding the magnetic storm main phase. The efficiency of wave-particle interaction in enhancing ultrarelativistic electrons is evaluated by the diffusion coefficient rates, considering both ULF and VLF waves together with phase space density analyses. Results show that local acceleration by whistler mode chorus waves can occur in a time scale of 2–4 h, whereas ULF waves take around 10’s of hours and magnetosonic waves take a time scale of days. This result is confirmed by the phase space density analysis. Accordingly, it shows that peaks of local acceleration of 1 MeV electrons are consistent with the observation of the highest chorus wave amplitude at the same L-shell and MLT. Thus, we argue that whistler mode chorus waves interacting with relativistic electrons are the main physical mechanisms leading to ultra-relativistic electron enhancement, while ULF and fast magnetosonic waves are found as secondary physical processes. Lastly, our analysis contributes to understanding how whistler and ULF waves can contribute to ultra-relativistic electrons showing up in the inner magnetosphere under the HSS driver.

Prodromal symptoms of a first manic episode: a qualitative study to the perspectives of patients with bipolar disorder and their caregivers'.

Diagnosing bipolar disorder (BD) is challenging, and adequate treatment is of major importance to minimalize the consequences of the illness. Early recognition is one way to address this. Although in clinical research the prodromal phase of BD is gaining interest, the perspective of patients with BD and their caregivers on prodromal symptoms is still lacking. The aim of this study is to gain insights in prodromal symptoms of patients with BD and their caregivers before the onset of a first manic episode. A qualitative research method was used to investigate prodromal symptoms one year prior to a first manic episode. In-depth interviews were conducted with patients with BD type I and their caregivers. Only patients with a first manic episode in the previous five years were included. The prodromal symptoms from patients' and caregivers' perspectives could be clustered into seven themes, with underlying subthemes: behavior (increased activity, destructive behavior, disinhibited behavior, inadequate behavior, changes in appearance), physical changes (changes in sleep, physical signals, differences in facial expression), communication (reciprocity, process, changes in use of social media), thought (process and content), cognition (changes in attention and concentration, forgetfulness), emotions (positive emotions, more intense emotions, mood swings), and personality (more pronounced manifestation of existing personality traits). Patients with bipolar I disorder and their caregivers described subsyndromal manic features one year prior to a first manic episode. In addition, they recognized mood lability, physical changes and more pronounced manifestation of existing personality traits. The results of this study confirm the presence of a prodromal phase. In clinical practice, monitoring of prodromal symptoms of BD can be useful in patients with depression, especially those with a familial risk of BD.

Old age from the perspective of LGBTQ+ and heterosexual young: A comparative study.

In today's world, the challenges and achievements of LGBTQ+'s throughout their lives are increasingly gaining attention. However, the specific needs of LGBTQ+'s in the aging process and potential challenges they might face during this period are often overlooked. This study aims to demonstrate LGBTQ+'s and heterosexual young's perspectives on old age. This descriptive, cross-sectional comparative study collected data from 230 LGBTQ+ and 201 heterosexual individuals. Data were collected using a digital survey comprising an 8-item Personal Information Form and a 17-item Questionnaire for Opinions Regarding Old Age. Compared to others, LGBTQ+'s consider old age to be a more problematic period. In this study, it was determined that LGBTQ+'s perceive old age as a bigger problem compared to those in the heterosexual group. It was determined that the possible difficulties that LGBTQ+'s expect to face in old age are mostly related to basic needs such as the need for care and lack of social support. In the heterosexual group, concerns about age-related physical changes such as loss of youth were observed more frequently. It is recommended that studies to be conducted and services to be offered in this area should be of nature that would ensure safety of LGBTQ+'s, protect their basic humanitarian rights and respond to their needs.

Clinical outcome is unlinked to injection of adipose-derived regenerative cells in the axilla of breast cancer-related lymphedema patients.

Injection of autologous adipose-derived regenerative cells (ADRCs) combined with lipotransfer has been suggested to alleviate symptoms in diseases including breast cancer-related lymphedema (BCRL). We recently performed a randomized controlled trial injecting lipoaspirate with ADRCs into the axilla of BCRL patients, and here we aimed in the intervention group to define in an unbiased fashion whether ADRC injection was linked to the clinical outcome. 39 BCRL patients received lipotransfer assisted with autologous ADRCs (4.20 × 107 ± 1.75 × 107 cells) whereas 41 BCRL patients were included for placebo treatment. At 12month follow-up, we assessed quality of life, lymphangiography, and bioimpedance enclosing 59 outcome parameters. Multifactorial analysis of clinical outcomes was used to define responders and non-responders to the intervention, and collected ADRCs from these patient groups were analyzed by single cell RNA sequencing (scRNAseq). Unbiased multifactorial analysis ranked and defined the clinical outcomes (Sf36 physical change, L-Dex Lymph Change, ICG mdanderson change) with the highest effect on BCRL patients. The 10 patients with the highest- and lowest effect (five responders and five non-responders) were included in the study. No difference between non-responders and responders were observed for injected ADRC number/size/viability (p > 0.05). In scRNAseq, we did not find any major difference (p > 0.05) between groups in ADRC composition regarding adipose derived stem cells, endothelial-, smooth muscle-, T-, B-, mast cells as well as macrophages, which was verified by flow cytometry. Differential subcluster gene expression between groups were for 92.5% of genes, including those encoding secretory proteins, below the threshold of 1.5, and thus neglible. Together this suggested that the ADRC phenotype was indistinguishable between BCRL responders and non-responders to the intervention. Our data suggest that the ADRC injection and ADRC phenotype or heterogeneity have no effect on the clinical outcomes on BCRL, and ADRC assisted lipotranfer for BCRL should therefore not be considered currently.

A high‐resolution climatological study of explosive cyclones in the Mediterranean region: Frequency, intensity and synoptic drivers

AbstractIn the complex context of climate change and in a heavily populated area like the Mediterranean region, understanding and studying explosive cyclones (ECs) is crucial because of their potential to cause extreme weather events, including strong winds, heavy rainfall, and significant disruptions to human activities and infrastructure, as happened in 2018 with the Vaia storm. The genesis and persistence of ECs, characterized by a rapid drop in central mean sea level pressure exceeding 12 hPa in 12 hours, are influenced by various physical processes and while water vapour convergence in the mid‐low troposphere is crucial, mid‐upper tropospheric cyclonic vorticity advection and upper tropospheric divergence also play significant roles. In this study, we used ERA5 hourly data of mean sea level pressure from 1979 to 2020 to analyse EC occurrences in the Mediterranean. The identification of EC events followed the 12‐hr deepening‐rate criterion introduced by Zhang et al. (2017), as shorter deepening rates definitions proved unreliable. A total of 80 ECs were identified and classified based on their spatial occurrence and magnitude, 34 of which were concentrated in the northwest of the basin, likely due to orographic deformation caused by the Alps on baroclinic waves originating from the Atlantic. The study also identified recurring synoptic patterns associated with the persistence of ECs over the sea, including the presence of potential vorticity (PV) streamers and mid‐tropospheric dry‐air intrusions. Empirical Orthogonal Function (EOF) analysis highlighted the Scandinavian pattern as the primary driver, with blocking conditions over western Russia and Scandinavia, and composite analyses revealed the intrusion of PV to various atmospheric levels, extending up to 500 hPa. In summary, this study offers valuable insights into the complex mechanisms governing EC formation in the Mediterranean Basin, shedding light on the synoptic patterns, atmospheric dynamics, and potential impacts on regional weather systems.

Advancing Non-Linear PDE’s Solutions: Modified Yang Transform Method with Caputo-Fabrizio Fractional Operator

Abstract In many physical processes, nonlinear PDEs have a crucial role. This paper presents a novel approach named as Modified Yang Transform (MYT) that combines an integral transform with the decomposition technique. This approach uses Yang transform and Adomian decomposition method to solve nonlinear fractional order PDEs. Nonlinear PDEs of fractional order are considered in the Caputo-Fabrizio sense. This work presents Convergence analysis of the modified Yang transform to nonlinear fractional order PDEs. Additionally, a solution framework to solve the nonlinear PDEs is carried out and some examples are provided to highlight the application of the current method.
To illustrate how the solution operates for various fractional orders, 2D and 3D graphs are plotted. After each example, the results and discussion section is included to explain the graphs and their results.

Sustainability outcomes of volunteer tourism in rural communities: empowerment and the role of volunteer tourism organizations

PurposeResearch on the sustainability outcomes of volunteer tourism (VT) in rural communities is rare. Drawing on the perspectives and theoretical concepts related to multiple forms of capital, empowerment, and sustainability, this paper presents the sustainability outcomes of VT and the role of empowerment and volunteer tourism organizations (VTOs) in attaining greater sustainability.Design/methodology/approachA total of 37 semi-structured interviews and 4 documents were conducted with stakeholders on the perceived socio-cultural impacts of VT on two farm communities in Vietnam. A qualitative thematic coding analysis was used to identify themes that explain the sustainability outcomes of VT.FindingsThe results of this study were divided into the nine themes of relationships, community resource development, job opportunities, educational effects, cultural exchanges, health, awareness of environmental conservation, physical changes, and promoting local products and tourism.Practical implicationsVTOs should involve the local community in the decision-making process for volunteer activities. It is essential to share their voices and concerns about how the VT is set up to ensure that they meet the community’s expectations. Moreover, the government can act as a bridge between VTOs and host communities, providing training and support services to locals after volunteers leave.Originality/valueThis research creates a model for connecting the sustainability outcomes of VT, empowerment, and the role of VTOs.

First Nations Peoples' perspectives on telehealth physiotherapy: a qualitative study focused on the therapeutic relationship.

Relationships are the core of Indigenous Peoples' spiritual and cultural identities, and therapeutic relationships are an integral part of the physical rehabilitation process, directly influencing health outcomes. However, participating in therapeutic relationships can be difficult for First Nations Peoples, particularly in the virtual landscape. There is limited understanding of First Nations Peoples' perspectives on this issue, and this understanding is crucial to developing culturally safe and effective telehealth physiotherapy programs. Therefore, the purpose of this study is to explore the perspectives of First Nations Peoples from British Columbia, Canada, on telehealth physiotherapy, with an emphasis on the virtual therapeutic relationship. A narrative qualitative study that utilized one-on-one, semistructured interviews was conducted with 19 First Nations adults from remote and rural First Nations communities in north-central British Columbia, Canada. Interviews were recorded, transcribed verbatim, and analyzed using an inductive approach to reflexive thematic analysis. Three themes emerged from data analysis. 'Therapist's attitude and rapport' captures participants' perceptions of what matters the most in how physiotherapists relate to First Nations Peoples and carry out their work. 'Remote nature of virtual care' encompasses the main challenges of virtual care visits, particularly how these were perceived to impact establishing and maintaining solid therapeutic relationships. 'Fostering culturally appropriate and safe telehealth physiotherapy' focuses on what is needed to advance telehealth physiotherapy in a manner that respects and reflects First Nations cultures, equipping all involved parties to provide comprehensive and sensitive services. Our findings advocate a hybrid model that combines in-person and telehealth visits to address communication barriers and the absence of physical interaction. Bridging the digital health literacy gap through training and collaboration with local support staff is crucial (as it is to bridge the possible cultural literary gap of therapists), and the incorporation of cultural elements holds promise for enhancing the engagement and effectiveness of telehealth services in these communities. The pursuit of equitable health care for First Nations communities demands not only increased access but also a thoughtful, culturally safe, trauma-informed, and holistic approach. This approach must be tailored to the unique needs of First Nations Peoples, emphasizing the integration of cultural elements and community support. A hybrid model combining in-person and telehealth visits is recommended to address logistical challenges and enhance the therapeutic relationship, ensuring that care is both effective and respectful of cultural values and practices.

Process–Material–Performance Trade-off Exploration of Materials Sintering with Machine Learning Models

AbstractProcess-induced porosity, defects, and residual stresses lead to mechanical performance degradation in fiber-reinforced composite and other heterogeneous structures. Physical and chemical processes create complex process–material–performance relationships. Predicting porosity and residual stresses in this context requires computationally burdensome forward simulations and obtaining optimal process settings and calibrating properties of new materials requires solving inverse problems with predictions from the forward simulations. In this paper, we parameterized the process–material–performance space and created a dataset based on physics models that are valid for sintering ceramic powders. The dataset was used to train several machine learning models that captured the process–material–performance relationships. The trained ML models were applied in process optimization, calibration of properties for new material systems, and estimating performance for a given process and material. Support vector regression (SVR), convolutional neural networks (CNNs), and a Gaussian mixture model (GMM) called REPAIRS were selected, and their prediction accuracy was determined. While the SVR and CNN models require training several models, we show that the GMM model captures the process–material–performance relationships with a single machine-learned model and partial system completion methods. The paper describes root-mean-square error and mean absolute percentage errors of the inferences from the models on a validation dataset.

Monitoring soil salinization and waterlogging in the northeastern Nile Delta linked to shallow saline groundwater and irrigation water quality.

Soil salinization and waterlogging are critical environmental issues affecting agricultural productivity and cultural heritage preservation, particularly in arid regions. This study investigated soil degradation processes in the archaeologically and agriculturally significant northeastern Nile Delta of Egypt. The objective was to assess the severity of soil degradation and identify key drivers related to water resources and soil characteristics to aid in the development of management strategies. The research employed a multi-faceted approach, including hydrochemical analyses (of groundwater, irrigation water, and soil), water quality indices calculations, statistical analyses, and satellite data. The results revealed high levels of soil salinization in the northern and central areas, with 64% of soil samples classified as strongly and very strongly saline. Soil chemistry indicated salinization sources linked to sodium chloride dominance. Satellite data from Sentinel-2 images and SRTM digital elevation data showed widespread severe waterlogging in the northern lowlands. The Irrigation Water Quality Index (IWQI) values indicated that 87.5% of irrigation water samples posed severe restrictions due to high salinity and sodium hazards, which were mismatched with the low soil permeability observed in 81% of the collected samples exhibiting clay texture and covering most of the study area. Furthermore, shallow groundwater at depths of 0.5-3m with high salinity was detected, where total dissolved solids exceeded 20,000mg/L, and Na-Cl water types prevailed, indicating saltwater intrusion. A strong positive correlation (r > 0.83) was found between shallow saline groundwater and soil salinity. The combination of poor irrigation water quality, shallow saline groundwater tables, and low-permeability soils created a synergistic effect that severely compromised soil health and agricultural productivity. It also posed severe risks to the structural integrity of archaeological sites and buried artifacts through accelerated physical and chemical weathering processes. This necessitates an urgent mitigation strategy to combat soil degradation in this critical area.