Environmental Earth Sciences最新文献_第8页

Reproducible HPC software deployments, simulations, and workflows – a case study for far-field deep geological repository assessment 可复制的HPC软件部署、模拟和工作流程——远场深层地质储库评估的案例研究

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-28 DOI: 10.1007/s12665-025-12501-z

Lars Bilke, Thomas Fischer, Dmitri Naumov, Tobias Meisel

{"title":"Reproducible HPC software deployments, simulations, and workflows – a case study for far-field deep geological repository assessment","authors":"Lars Bilke, Thomas Fischer, Dmitri Naumov, Tobias Meisel","doi":"10.1007/s12665-025-12501-z","DOIUrl":"10.1007/s12665-025-12501-z","url":null,"abstract":"<div><p>Reproducibility across diverse high-performance computing (HPC) environments remains a major challenge in computational science, particularly for complex, multi-physics simulation workflows. This study presents a comprehensive approach to achieving bit-for-bit result reproducibility in the context of the OpenGeoSys (OGS) simulation suite. Given the widespread use of OGS in environmental science applications such as safety assessments for radioactive waste disposal and the optimisation of geothermal energy systems our approach enhances the reliability, transparency, and acceptance of simulation results in these safety-critical domains, shown in a case study for far-field deep geological repository assessment. We use GNU Guix to define fully declarative, verifiable software environments and deploy them as portable Apptainer containers, enabling consistent execution across multiple HPC systems. Leveraging AiiDA for workflow automation and provenance tracking, we conduct simulations and complex simulation workflows on three heterogeneous clusters, confirming identical binary-level outputs. The results demonstrate that reproducible and portable software environments can offer a pathway toward long-term verifiability in scientific high-performance computing. We also show how full data provenance originating from software source code and model input data resulting in full simulation workflow result data can be achieved.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12501-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909661","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}

引用次数: 0

Landslide hazards in the Wudongde Reservoir (China): Analysis of frequency-magnitude characteristics based on self-organized criticality theory 武东德水库滑坡灾害：基于自组织临界理论的频率-震级特征分析

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-28 DOI: 10.1007/s12665-025-12509-5

Qiliang Liu, Fei Guo, Hongtao Tian, Ling Li, Xiaotao Ma, Mingxing Fu, Jianmang Zhang, Gang Zeng

{"title":"Landslide hazards in the Wudongde Reservoir (China): Analysis of frequency-magnitude characteristics based on self-organized criticality theory","authors":"Qiliang Liu, Fei Guo, Hongtao Tian, Ling Li, Xiaotao Ma, Mingxing Fu, Jianmang Zhang, Gang Zeng","doi":"10.1007/s12665-025-12509-5","DOIUrl":"10.1007/s12665-025-12509-5","url":null,"abstract":"<div><p>To characterize the magnitude-dependent distribution of landslide hazards in the Wudongde Reservoir area, the principle of maximum complexity is employed to analyze the physical mechanisms governing power-law distributions of landslides. A frequency-magnitude distribution curve is derived using a power-law function, with a focus on investigating the statistical characteristics of landslide frequency-magnitude distributions and their deviation effects. Results indicate that when the geometric mean value is constrained and the system complexity reaches its maximum, the power-law distribution represents the most probable probabilistic model for landslide frequency-magnitude relationships. The bank landslides in Wudongde Reservoir exhibit self-organized criticality (SOC) characteristics, with their frequency-magnitude distribution curve comprising two distinct components: a power-law segment and a deviating segment. While the power-law function adequately describes the former, the double Pareto and inverse Gamma functions are found to better capture both the power-law behavior and deviation effects. Among these, the inverse Gamma function demonstrates superior goodness-of-fit, likely due to its ability to model tail behavior in complex systems. Notably, the deviation effect in the frequency-magnitude distribution is not attributed to single factors (e.g., geological genesis mechanisms, slide mass thickness, landslide branching patterns, or left/right bank positions) but rather arises from the synergistic interaction of multiple geological factors.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evolution characteristics of land subsidence in Liaocheng City 聊城市地面沉降演化特征

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-22 DOI: 10.1007/s12665-025-12502-y

Hao Liang, Tian Yang, Yongwei Zhang, Xueyang Hu, Dejie Yu, Xiao Yang, Chao Jia

{"title":"Evolution characteristics of land subsidence in Liaocheng City","authors":"Hao Liang, Tian Yang, Yongwei Zhang, Xueyang Hu, Dejie Yu, Xiao Yang, Chao Jia","doi":"10.1007/s12665-025-12502-y","DOIUrl":"10.1007/s12665-025-12502-y","url":null,"abstract":"<div><p>Land subsidence not only poses a serious threat to urban construction and the safety of people’s lives and property, but also brings serious damage to urban infrastructure. Therefore, solving the problem of land subsidence is essential to ensure the sustainable development of cities and the quality of life of people. At present, the prediction of the future trend of land subsidence is often limited by a single prediction model or technical means, and its prediction results have certain uncertainties and limitations. Therefore, this paper takes Liaocheng City, Shandong Province as the study area, and uses a variety of methods to study the development status and future development trend of land subsidence in the study area in detail based on the relevant historical and current data of land subsidence and the actual monitoring data. The results show that if the current mining volume is maintained, the maximum regional subsidence will be 1.3 times that of the current ten years. The water level of shallow groundwater has rebounded significantly under the condition of 30% reduction of extraction, and the recovery rate of deep groundwater has also increased to varying degrees, indicating that reducing the exploitation of groundwater is one of the effective measures for the prevention and control of land subsidence. The machine learning model is used to predict the development trend of land subsidence in the study area, and the land subsidence in the study area will show a trend of further development, and the subsidence will develop more rapidly near the subsidence funnel. This study can provide scientific guidance for the prevention and control of regional land subsidence.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Surface erosion of graded granular soils and related landslide-dam failures 分级颗粒土的表面侵蚀与相关的滑坡-坝破坏

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-21 DOI: 10.1007/s12665-025-12506-8

Chen Chen, Yang Xue, Yunmin Chen, Yao Tang

{"title":"Surface erosion of graded granular soils and related landslide-dam failures","authors":"Chen Chen, Yang Xue, Yunmin Chen, Yao Tang","doi":"10.1007/s12665-025-12506-8","DOIUrl":"10.1007/s12665-025-12506-8","url":null,"abstract":"<div><p>Overtopping erosion is a critical mechanism of landslide dam failure, as it undermines dam stability and can lead to catastrophic downstream flooding. Existing physically based numerical models often assume homogeneous materials or represent soil gradation simplistically using mean particle size, limiting their applicability to widely graded materials typical of natural landslide dams. To address this gap, this study develops a novel particle-scale erosion model grounded in Newtonian mechanics, which explicitly incorporates the effects of particle-size distribution and granular contact geometry on erosion behavior. The model avoids empirical weighting schemes and instead captures erosion as a function of particle exposure and motion probability across grain-size intervals. Key model parameters are examined through sensitivity analysis, and the model is validated against flume experiments. The erosion model is then integrated into a physically based dam-breach simulation framework and applied to two case studies: the Tangjiashan landslide dam and the Banqiao Reservoir failure. Simulated peak outflows and breach timing closely match observed data, confirming the model’s accuracy and robustness. This study contributes a physically grounded approach to simulating landslide dam erosion and offers new insights into how soil gradation governs breaching processes.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Urban heat island in Amman: AI-based modeling of urban morphology and green infrastructure in mitigating thermal stress 安曼城市热岛：基于人工智能的城市形态建模和绿色基础设施缓解热应力

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-20 DOI: 10.1007/s12665-025-12507-7

Nawras Shatnawi, Rania Mona Alqaralleh, Esraa Radi Tarawneh

{"title":"Urban heat island in Amman: AI-based modeling of urban morphology and green infrastructure in mitigating thermal stress","authors":"Nawras Shatnawi, Rania Mona Alqaralleh, Esraa Radi Tarawneh","doi":"10.1007/s12665-025-12507-7","DOIUrl":"10.1007/s12665-025-12507-7","url":null,"abstract":"<div><p>Urban heat island effects have intensified in semi-arid cities like Amman, Jordan, due to rapid urban expansion and diminishing vegetation cover. This study develops a predictive framework that integrates remote sensing data, geographic information system–derived urban morphology indicators, and artificial intelligence models to assess and forecast urban heat intensity between 2015 and 2024. Satellite-derived land surface temperature, vegetation cover, and built-up density were used alongside morphological variables such as building height, street width, and road orientation. Several machine learning models, including support vector machines, decision trees, random forests, generalized linear models, nonlinear autoregressive networks, and adaptive neuro-fuzzy inference systems, were tested for predictive accuracy. The adaptive neuro-fuzzy inference system outperformed others with a coefficient of determination of 0.908 and a root mean square error of 0.390. Spatial analysis showed a 12.2% increase in built-up areas and a 9.1% reduction in vegetated land, leading to a significant rise in surface temperatures, particularly in Eastern and Central Amman. The study introduces a novel, high-resolution, machine learning approach for forecasting thermal risks in data-scarce, arid urban regions. Its findings offer actionable insights for urban planners to implement green infrastructure and land use interventions in heat-vulnerable zones.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Land cover mapping in mountainous Croatia using Sentinel-2A satellite imagery 利用Sentinel-2A卫星图像绘制克罗地亚山区土地覆盖图

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-20 DOI: 10.1007/s12665-025-12510-y

Valerija Rossi, Andrija Krtalić, Nenad Buzjak

{"title":"Land cover mapping in mountainous Croatia using Sentinel-2A satellite imagery","authors":"Valerija Rossi, Andrija Krtalić, Nenad Buzjak","doi":"10.1007/s12665-025-12510-y","DOIUrl":"10.1007/s12665-025-12510-y","url":null,"abstract":"<div><p>The use of remote sensing in land cover mapping and analysis has become a common method due to its availability, increasing temporal and spatial resolution, and the ability to derive additional products from primary imagery that provide deeper insight into land cover conditions. Land cover and landscape are very often equated, which leads to incorrect theoretical foundations of research and ultimately to wrong conclusions. This problem is particularly evident in landscape research in Croatia. Research on the state of land cover and landscape in Croatia is indeed very scarce, considering that the individual research focuses on certain smaller spatial units defined by administrative boundaries, and the methods and data used are very different. The physical-geographical region of Mountainous Croatia is considered a suitable study area because its mountainous nature makes it difficult to research through fieldwork and therefore requires the use of remote sensing. As one of the least populated regions in Croatia and a so-called natural oasis, it is increasingly exposed to the demands of economic development, which affect the condition of land cover and landscape. The aim of this work was to determine the methodology and map the land cover as one of the components of the landscape using free satellite imagery. The data obtained were then used to analyze the state of land cover using landscape metric indicators so that the results can be used in comparison with other components of the landscape (soil, relief, etc.) for application in the sectors of environmental protection, spatial and regional planning.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12510-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869045","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}

引用次数: 0

Investigation of asbestos-related environmental risks using GIS and remote sensing in Southeastern Anatolia, Türkiye 使用地理信息系统和遥感对安纳托利亚东南部石棉相关环境风险的调查，<s:1> rkiye

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-20 DOI: 10.1007/s12665-025-12489-6

Abdullah İzzeddin Karabulut, Mehmet İrfan Yeşilnacar

{"title":"Investigation of asbestos-related environmental risks using GIS and remote sensing in Southeastern Anatolia, Türkiye","authors":"Abdullah İzzeddin Karabulut, Mehmet İrfan Yeşilnacar","doi":"10.1007/s12665-025-12489-6","DOIUrl":"10.1007/s12665-025-12489-6","url":null,"abstract":"<div><p>Asbestos, a fibrous silicate mineral, has been epidemiologically linked to severe health outcomes such as pleural calcification, pulmonary fibrosis, malignant mesothelioma (MM), and peritoneal carcinogenesis, primarily through inhalation of airborne particulate matter. Due to its respirable fibrous morphology and widespread environmental presence, asbestos represents a critical concern within health geography, warranting spatially explicit investigations to delineate its geomedical risk profile. This study applies a health geography framework to assess the environmental footprint of asbestos in the Southeastern Anatolia Region of Türkiye by integrating advanced geospatial technologies, including Remote Sensing (RS) and Geographic Information Systems (GIS). The objectives are to spatially delineate asbestos distribution using integrated RS-GIS methodologies, evaluate associated environmental and public health implications, and provide a replicable geospatial risk modeling approach. A geomedical risk atlas was developed by synthesizing digital geological maps from the General Directorate of Mineral Research and Exploration (MTA) of Türkiye with satellite-derived spectral indices, validated through extensive field surveys that enabled precise identification of asbestos emission hotspots. Mineralogical analyses confirmed elevated concentrations of chrysotile and tremolite, minerals implicated in malignant pleural mesothelioma (MPM). Spatial epidemiology identified four high-risk districts—Ergani, Çermik, Çüngüş, and Gerger—where 56% of MPM cases were localized within a 1 km radius of these hotspots, and 70% within 4 km. The study underscores the suggests a potential effectiveness of RS-GIS integration for geospatial risk assessment, offering a paradigm to inform targeted public health interventions and environmental management aimed at mitigating asbestos-related morbidity in affected regions.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lowland transboundary river in a cold, semi-arid steppe: review of the Yesil River basin 寒冷半干旱草原上的低地跨界河流：对益西尔河流域的回顾

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-19 DOI: 10.1007/s12665-025-12500-0

Nurlan Ongdas, Vadim Yapiyev, Catalin Stefan, Sushant Mehan, Murat Muzdybaev, Andreas Hartmann

{"title":"Lowland transboundary river in a cold, semi-arid steppe: review of the Yesil River basin","authors":"Nurlan Ongdas, Vadim Yapiyev, Catalin Stefan, Sushant Mehan, Murat Muzdybaev, Andreas Hartmann","doi":"10.1007/s12665-025-12500-0","DOIUrl":"10.1007/s12665-025-12500-0","url":null,"abstract":"<div>\u0000 \u0000 <p>Yesil River is one of the longest transboundary rivers in Kazakhstan and is representative of northern Kazakh hydrology. Shared between Kazakhstan and Russia, it is the main water source in the region with high strategic importance. Regions with characteristics like Yesil River basin are underrepresented in the scientific literature. Review of climatic, hydrological and other basin characteristics is provided using global remote sensing and reanalysis datasets, historical recorded data and review of international and local research papers. Overall, the basin is characterised by very low runoff ratio (0.04–0.07) and moderate aridity index. Evapotranspiration dominates the water balance and warm season precipitation is fully consumed by this flux. Spring snowmelt generates most of the streamflow during a short period, storage of which controls water availability until the next spring. In addition, snowmelt causes devastating floods and controls groundwater recharge. Currently, water use in the basin accounts for 18% of annual runoff, although it is increasing. Future projections indicate significant warming and uncertain precipitation patterns, which might significantly increase runoff in spring and increase region’s aridity due to increased atmospheric water demand. Future transition to more arid climate zone poses a risk to local rain-dependent agriculture (covering half of the basin). As a result, irrigated agriculture in addition to continuing industrial and urban development might substantially increase future water use. Considering the current state and providing hydrological insights for the region, the key knowledge gaps for this basin and region are presented.</p>\u0000 </div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 17","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144868863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Spatio-temporal CoKriging approach for groundwater level interpolation estimation — a case study of the Datong Basin, Shanxi Province 校正：地下水水位插值的时空CoKriging方法——以山西大同盆地为例

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-19 DOI: 10.1007/s12665-025-12475-y

Hongyue Zhang, Xiaoping Rui, Xiting Zhao, Wen Sun, Yiheng Xie, Yingchao Ren

引用次数: 0

Baseline assessment of potentially toxic elements in soil from the surface of disposed personal protective equipment in the world longest natural sea beaches 对世界上最长的天然海滩上弃置的个人防护装备表面土壤中潜在有毒元素的基线评估

IF 2.8 4区环境科学与生态学

Environmental Earth Sciences Pub Date : 2025-08-18 DOI: 10.1007/s12665-025-12477-w

Md.Saiful Islam, Abdullah Al Bakky, Nor Aida Mahiddin, Uttam Biswas Antu, Abu Reza Md. Towfiqul Islam, Zulhilmi Ismail, Mir Mohammad Ali, Tapos Kormoker, Abubakr M. Idris

{"title":"Baseline assessment of potentially toxic elements in soil from the surface of disposed personal protective equipment in the world longest natural sea beaches","authors":"Md.Saiful Islam, Abdullah Al Bakky, Nor Aida Mahiddin, Uttam Biswas Antu, Abu Reza Md. Towfiqul Islam, Zulhilmi Ismail, Mir Mohammad Ali, Tapos Kormoker, Abubakr M. Idris","doi":"10.1007/s12665-025-12477-w","DOIUrl":"10.1007/s12665-025-12477-w","url":null,"abstract":"<div><p>After the COVID-19 pandemic, personal protective equipment (PPE) has become a noteworthy source of plastic pollution and potentially toxic elements (PTEs) in the marine ecosystem. The abundance and densities of PPE and PTEs contamination in soil particles adhere on the surface of disposed PPE in the natural sandy beaches of the Bay of Bengal coast, Bangladesh, were investigated for the first time and PTEs were measured by inductively coupled plasma mass spectrometer (ICP-MS). Overall, this study identified a total number of 9124 PPE items from the five natural sea beaches, with a mean density of 2.52 × 10<sup>–2</sup>, 2.67 × 10<sup>–2</sup>, 4.71 × 10<sup>–2</sup>, 4.21 × 10<sup>–2</sup>, and 2.52 × 10<sup>–2</sup> PPE m<sup>−2</sup> for the Kotka, Kuakata, Patenga, Cox’s Bazar, and Saint Martin’s Island. On the surface of disposed PPE, the mean concentrations of Cr, Ni, Cu, As, Cd, Pb, Mn, and Zn were 5.41, 6.36, 7.48, 3.01, 2.14, 3.12, 19.33, and 28.85 mg/kg, respectively. Based on the values of geoaccumulation index (<i>I</i>geo) and pollution load index (PLI), soil was contaminated by trace elements. A relatively higher health risk of trace elements was observed in children than in adult recreators. The self-organized map and principal component analysis revealed that anthropogenic activities mostly contributed to the accumulation of PTEs in soils on the PPE surface. This study explored trace elements pollution in soil adhere on the PPE surface and pointed out the necessity of future study on the geochemical speciation of trace elements in soil on disposed PPE in the sandy beaches of the Bay of Bengal Coast.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 16","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0