Environmental Earth Sciences最新文献

{"title":"Microplastics build-up in soils - spatial distribution patterns across different land uses and associated health risks","authors":"Amna Zia,&nbsp;Zulfiqar Ahmad Saqib,&nbsp;Muhammad Anwar ul Haq,&nbsp;Zubair Aslam","doi":"10.1007/s12665-026-12972-8","DOIUrl":"10.1007/s12665-026-12972-8","url":null,"abstract":"<div><p>Microplastic (MP) pollution in soil is an emerging environmental concern due to the extensive use and persistence of plastics, which degrade soil quality and pose potential risks to human health through accidental ingestion; however, the extent and implications of MP in soil environments remain poorly understood. This study assessed the extent, composition, distribution patterns, and potential hazards of MP across major ten Land Use types in five districts of Punjab, Pakistan to support environmental sustainability and policy design. Microplastics were extracted from soil samples by treating organic matter with 30% H₂O₂ in the presence of FeSO₄ as a catalyst, followed by density separation with saturated NaCl solution. The supernatant was filtered through 0.45 μm cellulose nitrate membranes to isolate MP. Visual classification was performed under a stereomicroscope, and polymer types were identified using FT-IR spectroscopy based on spectral library matching. The MP concentrations in soil significantly varied across cities and Land Use types, ranging from 18 to 1872 MP/kg. Greenhouse soils showed the highest contamination (1867 ± 32 MP/kg), followed by residential (751 ± 19) and industrial soils (693 ± 18) and Fish farm (18 ± 2) showed lowest values. Microplastic characterization revealed the dominance of fibrous and film shaped MP, particularly in agricultural and residential soils, with larger size MP particles 1–5 mm linked to fragmentation of agricultural mulching films and wastewater inputs. The FTIR spectra identified nine polymers, with HDPE and polypropylene as the most abundant, sourced primarily from mulching films, while Nylon and ABS were associated with textile effluents. Igeo values indicated severe contamination in Greenhouse &gt; Residential &gt; Landfill &gt; Industrial &gt; Roadside &gt; Sewage irrigated &gt; Mulching&gt; Cropland &gt; Fish farm, with Rawalpindi and Lahore most contaminated and Bahawalpur least. Principal Component Analysis (PCA) linked industrial and roadside soils to large durable fragments, agricultural soils to films and fibers, with urban density and climatic conditions. MP particles were found in all soils, even areas with minimal direct plastic use contained MP particles, emphasizing the role of atmospheric deposition and hydrological transport in shaping spatial heterogeneity. Microplastic particles adsorb pollutants, and may leach into groundwater, posing ecological and human health risks. These findings underscore the urgent need for robust policies, improved plastic waste management, and expanded research across diverse Land Use systems and environmental contexts.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 10","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12972-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupled coastal modelling system and particle tracking model for shoreline morphodynamics and management at the Kitchener Drain Outlet, Northern Nile Delta, Egypt","authors":"Nada Mansour,&nbsp;Tharwat Sarhan,&nbsp;Mahmoud El-Gamal,&nbsp;Karim Nassar,&nbsp;May R. ElKotby","doi":"10.1007/s12665-026-12938-w","DOIUrl":"10.1007/s12665-026-12938-w","url":null,"abstract":"<div><p>Sediment imbalance, hydrodynamic forces, and human-driven interventions have led to substantial morphological changes at the Kitchener Drain outlet, located on the northern Nile Delta coast of Egypt. This research employed a synthesis of the Coastal Modelling System (CMS) and the Particle Tracking Model (PTM) to simulate several engineering and nourishment scenarios, encompassing hydrodynamics, sediment transport, and morphological evolution. The model attained good predictive accuracy using wave, current, and sediment data from 2012 to 2013 for calibration, with a time step of 450 s, a Manning coefficient of 0.04, and the Van Rijn transport formula. Jetties, groins, spur dikes, and detached breakwaters were among the hard structures, alongside soft interventions, evaluated in six various scenarios. The most optimal compromise between upstream accretion and reduced downstream erosion was found in Scenario 5, which involved targeted replenishment with a sediment trap. Scenario 4, on the other hand, generated long-term stability with no net change due to the detached breakwaters. Nevertheless, other combinations, like Scenario 3 with spur groins, resulted in localized scour. After five years of simulations, the impacts of nourishment alone, particularly in high-energy zones, decreased in the absence of structural support. According to the findings, a hybrid management approach that incorporates both structural and nourishment measures is the best course of action for enhancing coastal stability and maintaining the Kitchener Drain discharge.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 10","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12938-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"One of the early high-frequency groundwater monitoring studies in Central India: aquifer response and stress mapping","authors":"Vaishnavi Parihar,&nbsp;Pradip Roy","doi":"10.1007/s12665-026-12964-8","DOIUrl":"10.1007/s12665-026-12964-8","url":null,"abstract":"<div><p>Groundwater dynamics in basaltic hard-rock terrains are highly heterogeneous and remain poorly understood due to reliance on low-frequency monitoring. This study investigates aquifer stress–response behaviour in the over-exploited basaltic aquifers of Ratlam District, Central India, using high-frequency groundwater level data (four readings per day, aggregated to daily values) from 15 monitoring wells during 2023–2025. Groundwater abstraction in the district exceeds annual recharge (~ 130%), with intensified post-monsoon pumping during the rabi season. The high-frequency records capture short-duration monsoon recharge events, peak depletion rates, and prolonged recession during the monitoring period, driven by intensive pumping, including episodes of rapid groundwater level decline. Pearson’s correlation and Ward’s hierarchical clustering identify five hydrodynamically distinct response groups that align with geomorphology and regional hydraulic gradients rather than with well depth alone. Semi-confined areas show stronger seasonal declines, while unconfined uplands exhibit broader recovery and gradual recession. Inter-well similarity is stronger at seasonal–annual scales, reflecting primary monsoon recharge and abstraction, with similar responses observed across both shallow and deeper systems. These findings demonstrate that high-frequency groundwater monitoring can resolve spatial patterns of recharge- and abstraction-dominated behaviour in hard-rock aquifers. The study introduces a preliminary similarity-based approach for interpreting spatial variability in groundwater response, improving groundwater assessment and management in stressed basaltic terrains.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 10","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12964-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stable isotopic source apportionment of shallow groundwater in Southwest coast of India","authors":"N. P. Jesiya,&nbsp;P. Arjun,&nbsp;Girish Gopinath,&nbsp;T. R. Resmi","doi":"10.1007/s12665-026-12966-6","DOIUrl":"10.1007/s12665-026-12966-6","url":null,"abstract":"<div><p>This study examines the spatio-temporal variation in the stable isotopic composition of oxygen (δ¹⁸O) and hydrogen (δD) in groundwater from alluvial and lateritic aquifers in Northern Kerala, India, in relation to seasonal rainfall patterns and hydrogeological settings. The isotopic composition of rainwater in the study area exhibits higher variability during the monsoon seasons, attributed to the influence of cyclonic activity and isotopic fractionation during precipitation events. Groundwater in both alluvial and lateritic aquifers of the study area exhibits distinct seasonal variations in δ¹⁸O and δD values between pre-monsoon and post-monsoon periods, reflecting a shift from evaporation-influenced conditions during the pre-monsoon to dominant meteoric recharge in the post-monsoon season. Negative isotopic separation (Δδ) values and regression characteristics indicate that Southwest Monsoon (SWM) rainfall is the primary source of groundwater recharge, with post-monsoon depletion reflecting seasonal mixing rather than dominant North East Monsoon (NEM) influence. Deuterium excess in groundwater serves as an effective proxy for recharge dynamics, and its relationship with Total Dissolved Solids (TDS) highlights the influence of infiltration rates, evaporation intensity, and aquifer permeability on groundwater recharge processes. A mass balance approach estimates that rainwater contributes 35.7% of recharge in alluvial aquifers and 32% in lateritic aquifers, with alluvial aquifers receiving more direct recharge due to their shallow water table. These findings provide crucial insights for sustainable groundwater management in the region.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 10","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12966-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatio-temporal shoreline assessment of a dynamic deltaic coast: integrating DSAS and ecological indices for Konark Coastal Belt, India (2005–2025)","authors":"Vansika Yadav,&nbsp;Sudip Dey,&nbsp;Suprakash Pan","doi":"10.1007/s12665-026-12967-5","DOIUrl":"10.1007/s12665-026-12967-5","url":null,"abstract":"<div><p>The Konark coastal belt, a morphodynamically active segment of the Mahanadi deltaic system, is undergoing rapid shoreline transformation driven by the interplay of sea-level rise, altered wave regimes, and intensifying anthropogenic pressures. This study aims to present 20-year spatio-temporal assessment (2005–2025) of shoreline dynamics across three morphodynamically distinct segments at Gop, Kakatpur, and Astarang using multi-temporal Landsat imageries, Digital Shoreline Analysis System (DSAS) metrics, and ecological indices. This study focuses on long-term shoreline dynamics; cyclone and extreme event influences were not explicitly considered. DSAS analyses showed peak erosion of − 3.87 m/year at Kakatpur and accretion up to + 3.12 m/year near Gop, with long-term retreat averaging − 2.14 m/year across erosion zones, and + 1.98 m/year in accreting areas. The results reveal pronounced accretion in Kakatpur (0.59 m/year), moderate gain with erosion hotspots in Gop (0.15 m/year), and highly variable dynamics in Astarang (2.8 m/year). Despite net progradation, spatial heterogeneity is evident with 20.55 to 33.71% of transects experiencing erosion. Ecological indices demonstrate substantial ecosystem transition, with vegetated areas expanding from 38% to 69% with 5,899.2 ha, and soil fertility improvements over 3,256.9 ha, while moisture-dominated zones declined from 42% to 27%, indicating accretional sediment-vegetation feedback mechanisms. Kalman filter-based predictive modelling projects shoreline retreat of up to − 16.5 m in erosion hotspots by 2035 and − 32.3 m by 2045, with uncertainty ranges of ± 10 m to ± 24 m across zones specific evolution scenarios with RMSE validation demonstrating acceptable forecast reliability (± 18.17 m overall). The integration of DSAS metrics revealed strong correlations between rate-based estimators (<i>r</i> = 0.997), validating methodological consistency. The findings provide a zone-specific decision-support framework for coastal resilience, hazard mitigation, and habitat restoration, transferable to comparable deltaic systems globally.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 10","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12967-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Depth-dependent engineering geological and geotechnical characterization of ankara clay: a study on the effect of consolidation on soil variability","authors":"Gökhan Şahi̇n,&nbsp;Mustafa Kerem Koçkar","doi":"10.1007/s12665-026-12956-8","DOIUrl":"10.1007/s12665-026-12956-8","url":null,"abstract":"<div><p>Ankara Clay is characterized by overconsolidated, highly swelling, active, medium to high plastic and stiff consistency properties. Despite a wide array of research about the Ankara Clay available, a comprehensive and systematic evaluation of the soil properties, especially in terms of consolidation conditions through depth, is limited in the literature. In this context, a large data set of 5,500 borehole samples was collected across the Ankara Basin, and the variations of 20 different soil parameters from the surface up to 25–30 m in-depth were statistically determined. The correlations between soil parameters were investigated, and the predictive equations were developed for the preconsolidation pressure (<i>P</i>_<i>c</i>), compression index (<i>c</i>_<i>c</i>), swelling index (<i>c</i>_<i>s</i>), and volumetric compression coefficient (<i>m</i>_<i>v</i>). Investigations also revealed that the normally/lightly overconsolidated (NC-LOC) and moderately/highly overconsolidated (MOC-HOC) samples were frequently observed in specific strata based on depth. Accordingly, a detailed examination was carried out to investigate the influence of consolidation on the variability of the soil parameters. T-tests were performed between NC-LOC/MOC-HOC samples, and a significant difference (<i>p</i> &lt; 0.05) in the mean values of 6 distinct soil parameters, particularly in the undrained shear strength (<i>C</i>_<i>u</i>) parameter, was identified. Correspondingly, four novel equations were proposed to predict the <i>C</i>_<i>u</i> under normally-consolidated and overconsolidated conditions. Furthermore, the accuracy of <i>C</i>_<i>u</i> predictions was validated using two alternative datasets. The results demonstrated that considering the consolidation condition as a criterion notably improved (%35–40) the <i>C</i>_<i>u</i> predictions.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 9","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12956-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vegetation evolution patterns driven by climate and geohazard based on the continuous change detection and classification algorithm","authors":"Zheyi Wu,&nbsp;Hui Deng,&nbsp;Anrun Li,&nbsp;Linyi Lv,&nbsp;Yongqing Tian,&nbsp;Penghui Liu","doi":"10.1007/s12665-026-12947-9","DOIUrl":"10.1007/s12665-026-12947-9","url":null,"abstract":"<div><p>Large hydropower reservoirs in extreme climatic conditions often face fragile ecosystems and frequent geological disasters. The use of advanced remote sensing technologies to reveal the spatiotemporal distribution of geological hazards has become a major research focus. This study focused on the Xiaowan Hydropower Reservoirs Geological deformation was monitored using Sentinel-1 A data and SBAS-InSAR techniques. Additionally, the geographic detector model and the Continuous Change Detection and Classification (CCDC) algorithm were integrated to analyze the spatiotemporal dynamics of vegetation cover and its relationships with geological disaster density, elevation, precipitation, slope, aspect, temperature, and distance to rivers. The results show that: (1) Precipitation, temperature, and geological disaster density are the three primary drivers influencing vegetation cover in the study area. (2) The impact of climate change on vegetation in the study area has been relatively gradual. Among climatic factors, reduced precipitation is the primary driver of vegetation degradation. Following the degradation of high vegetation cover areas, the exposed or disturbed surfaces tend to recover over time, often transitioning into regions with moderate vegetation cover. (3) During ongoing geological deformation, for every 10 mm/year increase in deformation rate, vegetation growth is disturbed by a factor between 0.104 and 0.648. After stabilization, areas with a disturbance amplitude between 2.5 and 12 typically experience vegetation recovery exceeding pre-disturbance levels. However, when the disturbance amplitude exceeds 8, the vegetation’s recovery capacity is irreversibly impaired, leading to a long-term decline in recovery potential.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 9","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12947-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of soil moisture mapping techniques: Evaluating dataset variability and spatial transferability across regions","authors":"Talha Mahmood,&nbsp;Muhammad Usman Liaqat,&nbsp;Muhammad Usman,&nbsp;Julia Pöhlitz,&nbsp;Luca Brocca,&nbsp;Christopher Conrad","doi":"10.1007/s12665-026-12963-9","DOIUrl":"10.1007/s12665-026-12963-9","url":null,"abstract":"<div><p>Soil moisture (SM) is a key parameter for irrigation monitoring, scheduling, and supporting precision agriculture. In this study, we used Sentinel-1 synthetic aperture radar (SAR) and Sentinel-2 optical data to estimate SM at high spatial resolution (20 m) in the Lower Chenab Canal Command (LCC) area of Punjab, Pakistan. To achieve this, we applied a semiempirical water cloud model (WCM) using both the VV and VH polarizations from SAR data. Additionally, two widely used machine learning (ML) models, random forest (RF) and support vector machines (SVM), were employed to estimate SM at the field scale. To assess model reliability and transferability, reference data from two field sites were split using two approaches: (1) stratified random sampling, with 50% of data from each site used for training and 50% for validation, and (2) spatial splitting, where one site was used solely for training and the other for validation. Results showed that with random splitting, ML models, particularly SVM, outperformed the WCM, with a coefficient of determination (R²) of 0.58, root mean square error (RMSE) of 6.78 Vol.%, and mean absolute error (MAE) of 5.71 Vol.%. Moreover, VV outperformed VH with an RMSE (R²) of 7.37 Vol.% (0.51), compared with 7.69 Vol.% (0.46) when a stratified random split was used. In contrast, the spatial split yielded lower accuracy, as WCM with VH polarization performed best, achieving an R² of 0.45 and RMSE (MAE) of 7.82 (6.23) Vol.%. The high-resolution SM estimates offer practical value for optimizing irrigation management, particularly in agricultural areas challenged by limited water availability.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 9","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12963-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of xanthates chemisorbed on solid mining wastes by evolved gas analysis hyphenation techniques","authors":"Eric R. Dionne,&nbsp;Claude Marengo","doi":"10.1007/s12665-026-12952-y","DOIUrl":"10.1007/s12665-026-12952-y","url":null,"abstract":"<div><p>The site of a former copper mine, in the process of being decontaminated, needed to be screened for xanthates contamination. It is known that potassium amyl xanthate as well as potassium ethyl xanthate were used in the flotation process as collectors during the operation of the mine. The use of common analytical methods for organic contaminants, based on solvent extraction, showed no detectable xanthates contamination. As xanthates are strongly adsorbed on some mineral surfaces in the flotation process of the mineral-rich ore, it was suspected that common analytical methods cannot be applied to such a situation. Even the use of acidic media with headspace gas chromatography was not able to detect any significant volatile decomposition products from xanthate-spiked soil samples. Then, thermal decomposition of the surface-bound contamination, followed by an analysis of the generated vapour, yielded significant results. A hyphenated system, composed of a thermogravimetric analyzer, an infrared spectrophotometer and a gas phase chromatograph coupled with a mass spectrometer was ultimately considered. With this multi-instrumental system, an analytical method has been developed and it was found that the xanthate contamination was well over 1 ppm for many samples taken from the former mining site. This article will describe the analytical method that was developed on this hyphenated system to detect, quantify and identify xanthates in field samples while successfully distinguishing true xanthate contamination from false positives arising from natural organic matter decomposition.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 9","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12952-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation framework for numerical transport models: Application for underground hydrogen storage","authors":"Vicente Navarro,&nbsp;Rubén López-Vizcaíno,&nbsp;Arianna Pucci,&nbsp;Ángel Yustres,&nbsp;Erik Tengblad","doi":"10.1007/s12665-026-12949-7","DOIUrl":"10.1007/s12665-026-12949-7","url":null,"abstract":"<div><p>This paper presents a methodology that enables research groups to develop their conceptual and numerical models in a mutually supportive way, with reduced computational effort and considerable implementation freedom. This approach is particularly intended for those working to improve the characterisation of underground hydrogen storage. The use of platforms such as Comsol Multiphysics is proposed, which, together with a widely validated numerical environment, offers multiphysics capabilities that allow the numerical model to be adapted to different conceptual approximations. In addition, its automatic symbolic differentiation functionality helps to generate clear, efficient and computationally powerful models. The methodology allows researchers to focus on conceptual development and minimises the burden of numerical implementation. To illustrate the application of the approach, highlighting the use of Comsol Multiphysics not only for its built-in simulation capabilities but also as an implementation environment, the development process of a new calculation code called X2H is described. Its qualification demonstrates that robust and accurate numerical tools can be obtained, with performance comparable to other the codes widely used in Reservoir Engineering.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"85 9","pages":""},"PeriodicalIF":2.8,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-026-12949-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147829280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}