Environmental Earth Sciences最新文献

{"title":"The recharge and infiltration of soil water in the subalpine shrub zone of the eastern Qilian Mountains in China","authors":"Zhi Wang,&nbsp;Wenxiong Jia,&nbsp;Yue Zhang,&nbsp;Xin Lan,&nbsp;Zhijie Yu,&nbsp;Huifang Luo,&nbsp;Lifang Chou","doi":"10.1007/s12665-025-12312-2","DOIUrl":"10.1007/s12665-025-12312-2","url":null,"abstract":"<div><p>The Qilian Mountains are an important ecological security barrier in the northwest China and a major water supply area for the Hexi Corridor. It is of great significance to study their hydrological processes. Based on the stable isotope values of precipitation, soil water and groundwater in the subalpine shrub zone of the eastern Qilian Mountains from May to October 2019, their stable isotope characteristics as well as the recharge and infiltration of soil water were analyzed by the lc-excess method and the lc-excess balance equation. The results showed that stable isotopes of precipitation showed significant enrichment in spring and depletion in summer and autumn, characterized by large fluctuations. Stable isotopes of soil water were enriched in summer and depleted in spring, appearing a tendency of gradual decrease with the increase of soil layer depth. However, stable isotopes of groundwater had the smallest fluctuations. Soil water was obviously recharged by precipitation in summer, but lower recharge was observed in spring and autumn. The main contributors to soil water recharge were precipitation events with the intensities of 10–20 mm/day and 20–30 mm/day. In subalpine shrub zone, both piston flow and preferential flow patterns coexisted in the infiltration of soil water, with a relative contribution rate of 76% from plug flow and 24% from preferential flow to groundwater recharge. The results are of theoretical value and practical significance for understanding hydrological processes and evaluating groundwater quantity in the subalpine shrub zone.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084888","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}

{"title":"Harnessing machine learning and geospatial technologies for precise soil erodibility mapping and prediction","authors":"Wudu Abiye,&nbsp;Endalamaw Dessie Alebachew,&nbsp;Orhan Dengiz","doi":"10.1007/s12665-025-12270-9","DOIUrl":"10.1007/s12665-025-12270-9","url":null,"abstract":"<div><p>Soil erosion threatens fertility and sustainability, with soil erodibility influencing erosion rates based on physical and chemical properties. This study aimed to estimate soil erodibility for various land uses using the K-factor from the Wischmeier equation, assess indicators such as the structural stability index, clay ratio, and dispersion ratio, and develop a predictive model for erosion risk using artificial neural networks (ANN) and geospatial technologies. High-resolution spatial maps of erosion risk were created to inform land management and conservation efforts. An ANN model in MATLAB R2024a predicted soil erodibility as well as indicators such as the dispersion ratio, crust formation, and clay ratio. Statistical analyses, including principal component analysis (PCA) and correlation assessment, were performed with OriginPro 2021b to explore relationships between soil properties. Spatial maps of observed and predicted erodibility were created using ArcGIS 10.7.1. Results showed that erodibility values ranged from 0.023 to 0.152 t·ha·hr·MJ^-1·mm^-1 for the observed data and 0.026 to 0.148 t·ha·hr·MJ^-1·mm^-1 for the predicted values. For different land uses, it included 0.09513t·ha·hr·MJ^-1·mm ¹ for cultivated land, 0.060796 t·ha· hr·MJ ¹ · mm ¹ for forest land, and 0.092685 t·ha·hr·MJ^-1·mm^-1 for pasture land. The ANN model demonstrated high accuracy, with R-values of 0.999 for soil erodibility, 0.996 for the structural stability index (SSI), 0.995 for the clay ratio (CR), and 0.904 for the dispersion ratio (DR). This study effectively combines machine learning and geospatial technologies to predict and map soil erodibility, providing insights for erosion control and sustainable land management.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12270-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084795","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":"Impact of paleo-rainfall events in the South Atlantic Convergence Zone (SACZ) and human pressures since ~ 1950 in southeastern Brazil: Paraty and Saco de Mamanguá","authors":"Vahideh Farhangi,&nbsp;Maria Virgínia Alves Martins,&nbsp;Rubens Cesar Lopes Figueira,&nbsp;Paulo Alves de Lima Ferreira,&nbsp;Egberto Pereira,&nbsp;Denise Lara,&nbsp;Caroline Adolphsson do Nascimento,&nbsp;Johann Hohenegger,&nbsp;Murilo Barros Saibro,&nbsp;Josefa Varela Guerra,&nbsp;Renata Cardia Rebouças,&nbsp;Cleverson Guizan Silva,&nbsp;André Luiz Carvalho da Silva,&nbsp;Fabio Ferreira Dias,&nbsp;Rodolfo Dino,&nbsp;Heloisa Helena Gomes Coe,&nbsp;Fernando Rocha","doi":"10.1007/s12665-025-12248-7","DOIUrl":"10.1007/s12665-025-12248-7","url":null,"abstract":"<div><p>Protected coastal areas, such as bays, estuaries, and coastal lagoons, are generally highly populated and impacted by anthropogenic activities. These regions are also vulnerable to the effects of climate change and sea level fluctuations. This work aims to study the records of temporal changes induced by shifts in rainfall and human factors in the western region of Ilha Grande Bay (BIG; Rio de Janeiro State, SE Brazil). The study compares textural, mineralogical, and geochemical data in two cores, BIG01 and BIG02, collected in Paraty Harbor and Saco de Mamanguá, respectively. The two cores have recorded sedimentary changes since 1950, as indicated by ²¹⁰Pb and ¹³⁷Cs dating. The statistically integrated results indicate higher moisture levels before ~ 2000 in this region and a general trend toward reduced rainfall since then, accompanied by an increase in the sediment accumulation rate since the 1980s, likely due to the progressive expansion of urbanization, deforestation, agriculture, and dredging activities in BIG. The Paraty region (BIG01) was most affected by recurrent landslides during concentrated rainfall in SACZ events and by anthropic impact, especially since ~ 1970. This impact has resulted in silting, eutrophication, and moderate pollution by potentially toxic elements, especially Cu, Pb, Sn, Zn, and As. The records of cores BIG01 and BIG02 highlight the influence of climate change, namely SACZ and human activities, on sedimentation and sediment quality. The recurrence of mega-events, such as SACZ paleo-events, and their impact on landslides in slope zones require further study, particularly in densely populated areas.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12248-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084887","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":"Physics-informed neural networks for predicting sediment transport in pressurized pipe flows","authors":"Rupesh Kumar Tipu,&nbsp;Ruchika Bhakhar,&nbsp;Kartik S. Pandya,&nbsp;Vijay R. Panchal","doi":"10.1007/s12665-025-12295-0","DOIUrl":"10.1007/s12665-025-12295-0","url":null,"abstract":"<div><p>This study presents the development of a Physics-Informed Neural Network (PINN) for predicting sediment transport rates, integrating physical laws governing sediment transport dynamics to improve prediction accuracy. The model was evaluated against traditional machine learning models, including Random Forest and Support Vector Regression (SVR), as well as empirical formulas, demonstrating superior performance with an average <span>(R^2)</span> of 0.9573 and low error metrics. SHapley Additive exPlanations (SHAP) analysis revealed that dimensionless bed shear stress (<span>(eta _b)</span>) and relative grain size (<i>Z</i>) were the most significant contributors to model predictions. A Graphical User Interface (GUI) was also developed to facilitate real-time interaction with the model, making advanced predictions accessible to hydrological engineers. The study underscores the potential of combining machine learning with physics-based constraints to enhance the predictive capabilities of sediment transport models, offering a practical tool for environmental management.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084814","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}

{"title":"Incorporating the Geological Strength Index (GSI) of the transmission strata into the attenuation law of ground vibration from open pit bench blasting operations: An investigative approach","authors":"Subhamoy Ghosh,&nbsp;Vivek Kumar Himanshu,&nbsp;Chandrakanta Behera,&nbsp;Manoj Kumar Mishra","doi":"10.1007/s12665-025-12303-3","DOIUrl":"10.1007/s12665-025-12303-3","url":null,"abstract":"<div><p>An effective method of quantifying the levels of ground vibration is in terms of peak particle velocity through predictive modelling using empirical formulations and analysis. Of the existing particle velocity attenuation laws, the scaled-distance concept has been widely used for estimating peak particle velocities at known distances for different explosive charge weights. Several blast design parameters have been known to influence the particle velocities. However, it is seldom that the geological characteristics of the transmission strata between the point of detonation and the monitoring point are incorporated into the attenuation laws. Consequently, this study incorporated Geological Strength Index (GSI) as the parameter representing the geological settings of the transmission strata into the particle velocity attenuation law and thereby proposed a new predictive model for blast-induced ground vibration based on the geological observations at the blasting benches and along the direction of seismic monitoring. In this process, the United States Bureau of Mines (USBM) model was modified with an addition parameter of GSI <span>(({R}^{2}=0.77))</span>. Lastly, the proposed model was validated against unused blast monitoring data <span>(({R}^{2}=0.89))</span>. Thus, this study successfully incorporated a geological parameter and modified a universal predictor for better efficiency and applicability as per the dominant geological strata characteristics.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073875","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}

{"title":"Pollution of coal mine soils: global reference concentrations of chemical elements","authors":"Alexey V. Alekseenko,&nbsp;Maria M. Machevariani,&nbsp;Jaume Bech,&nbsp;Daniel Karthe","doi":"10.1007/s12665-025-12160-0","DOIUrl":"10.1007/s12665-025-12160-0","url":null,"abstract":"<div><p>Despite global efforts to phase out coal, the world’s coal production and consumption reached a record high in 2022. Even though soil pollution around collieries stands in the shadow of greenhouse gas emissions, the anthropogenic geochemical impact of coal mining will persist for decades to centuries after the coal phaseout. Soils are of paramount significance when assessing the pollution of mining sites. This analysis provides a reference dataset for evaluating soil transformation in coal minescapes. Identification, screening, eligibility check, and extraction of data from articles published in peer-reviewed journals between 2000 and 2022 yielded a comprehensive dataset on the chemical composition of 13,925 soil samples from 55 mined coal fields in 32 countries of Eurasia, Africa, Australia, and the Americas. These carefully handpicked records allowed the calculation of mean concentrations for 41 chemical elements, alongside total organic carbon and a total of 15 rare-earth elements. The resulting dataset is of both fundamental geochemical and policy-relevant significance. The maximum enrichment of contaminated soils with As, Bi, Hg, Sb, and Se reveals the role of coals as the source of highly coalphile elements. Remediation guidelines can benefit from the dataset, e.g., for arsenic whose world average contents fall below the standards of Canada, Russia, and the USA. Regional soil quality criteria may incorporate these figures to update threshold levels for mining sites. Finally, for the areas of discovered coal reserves, the question “to mine, or not to mine” can be answered with higher certainty owing to the predicted levels of pollutant burden.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12160-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073876","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":"Identification of the small-scale scattered flash floods based on high-resolution DEM","authors":"Haiqing Yang,&nbsp;Yuling Xiao,&nbsp;Xingyue Li,&nbsp;Nian Chen","doi":"10.1007/s12665-025-12308-y","DOIUrl":"10.1007/s12665-025-12308-y","url":null,"abstract":"<div><p>Flash floods have often occurred in small-scale scattered areas that often lack hydrological, rainfall and geotechnical data. Under extreme rainfall conditions, evaluating flash flood susceptibility in this region has been a major challenge in current research. Building on this, high-resolution DEM data, combined with the random forest (RF) model optimized by grid search (GS) and a feature selection algorithm, are used to identify small-scale scattered flash floods. At the same time, the prediction effect of the model established by low-resolution and high-resolution DEM data on the flash flood in Taibai Creek small watershed is compared. The results showed that 13 conditioning factors influence the occurrence of flash flood, among which distance to ravine (D2R) is the most important factor affecting the flash flood sensitivity of small watersheds. Evaluating flash floods in small watersheds using high-resolution DEM data combined with the random forest algorithm is feasible. The model demonstrates strong predictive performance, achieving an AUC value of 97.2% in the Taibai Creek small watershed. Low-resolution DEM data lead to inaccurate hazard assessment results. The spatial distribution characteristics of the susceptibility map constructed using high-resolution DEM data are highly consistent with observations in the small watershed. This study helps improve the assessment of geological disasters in small watersheds and addresses the over-identification issue of high-risk areas in previous susceptibility analysis.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144073877","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}

{"title":"The importance of the subindices on quantitative assessment of geodiversity: a methodological discussion and application to the Geopark Costões e Lagunas, SE Brazil","authors":"Daniel Souza dos Santos,&nbsp;Kátia Leite Mansur,&nbsp;Jhone Caetano de Araújo,&nbsp;Elisa Elena de Souza Santos,&nbsp;Neila Nunes Ferreira","doi":"10.1007/s12665-025-12291-4","DOIUrl":"10.1007/s12665-025-12291-4","url":null,"abstract":"<div><p>The last decades witnessed methodological advances concerning the creation of quantitative geodiversity maps, which represent the quantity and spatial distribution of abiotic elements. However, there are still issues regarding the creation of these maps. This work presents the geodiversity index map of the Geopark <i>Costões e Lagunas</i>, located in Rio de Janeiro State, Brazil. The map was generated through four subindices: lithological, geomorphological, pedological, and hydrological. The quantification method involved overlaying a regular grid (2,5 × 2,5 km grid cells) onto thematic maps representing the subindices, which is the most common method to generate geodiversity index maps. This resulted in five maps: geodiversity index, and the four subindex maps. We argue that the subindices should not be simply used as steps to achieve the final product, since they are relevant on their own. Therefore, attention should be given both to the methodological procedures for their creation and to the generated results. The manuscript discusses the selection of subindices; potential errors for counting a single element more than once; the notion that a geodiversity index map may hide areas that are important due to specific components; and the importance of using subindex maps as relevant results and not only as secondary products. These discussions are intended to contribute to the methodological consolidation concerning the creation of geodiversity index maps, which are acknowledged as important environmental management tools for displaying the richness and spatial distribution of the abiotic environment.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074105","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}

{"title":"Down-scaling method for transformation of national soil maps into spatially distributed values of soil erodibility factor according to terrain morphology using GIS tools","authors":"Jiří Brychta,&nbsp;Jan Vopravil,&nbsp;Martina Brychtová,&nbsp;Jana Kozlovsky Dufková,&nbsp;Jana Podhrázská,&nbsp;Milada Šťastná,&nbsp;Jan Pacina,&nbsp;Jan Popelka,&nbsp;Tadeáš Děd,&nbsp;Petr Zálešák,&nbsp;Martina Urbanová,&nbsp;Alžběta Maxianová,&nbsp;David Kincl,&nbsp;Tomáš Khel","doi":"10.1007/s12665-025-12298-x","DOIUrl":"10.1007/s12665-025-12298-x","url":null,"abstract":"<div><p>With the current advancements in GIS and remote sensing methods, especially the use of high-precision LiDAR data, there is a significant disparity in the accuracy of morphological and soil data in erosion assessment. In current practice, a soil geospatial database is used to determine erodibility (K factor), often causing step changes in value within a field. However, soil properties influencing the K factor typically vary smoothly with terrain morphology and the soil catena pattern. Terrain morphology should therefore be taken into account, and it will lead to a more precise spatial distribution of K-factor values, significantly refining soil loss calculations and erosion control planning. For this purpose, the Czech Soil-Morphological Geospatial Database containing 1,417 soil samples was created. All soil samples were analyzed in the laboratory, and their K values were linked to morphometric characteristics (MMCH) based on geographical coordinates. The correlation dependences of the MMCH and spatial changes of K values, as deviations from the average values for the drainage areas within the closed erosion units, were calculated. The results of the methodology validation show a statistically high significant dependence between the K values obtained from field measurements and the values generated by the K-terrain model, created to automate the calculation. The tool can be used for down-scaling of K factor maps of large areas according to digital terrain model. To allow it to be applied more effectively to land management, a map with K terrain values for the entire Czech Republic was created with a resolution of 10 m.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12298-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074113","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":"Field experiment and numerical simulation on sequence dewatering of a sand inrush tunnel under high water pressure in semi-diagenetic rock: a case study","authors":"Jianxiu Wang,&nbsp;Qianyuan Zhang,&nbsp;Minlin Lei,&nbsp;Jinsong Xu,&nbsp;Hua Lei,&nbsp;Ansheng Cao,&nbsp;Yanxia Long","doi":"10.1007/s12665-025-12245-w","DOIUrl":"10.1007/s12665-025-12245-w","url":null,"abstract":"<div><p>The semi-diagenetic sandstone stratum has the characteristics of weak cementation and low strength. Gushing induced sand inrush in semi-diagenetic surrounding rock under high water pressure is one of the most difficult worldwide disasters during tunnelling. In the construction of Wangjiazhai Tunnel in Lincang-Qingshuihe expressway, gushing and sand inrush disasters in semi-diagenetic surrounding rock occurred numerous times under high water pressure causing serious economic loss, environment influence and construction delay. Conventional grouting reinforcement and drainage measures in tunnel cannot effectively solved the disaster problem resulting in repeated gushing and sand inrush, rescue and re-excavation without confidence construction period. In order to solve the surge and sand inrush disaster problem of the tunnel, this study proposed a surface ultra-deep pumping well dewatering method. The pumping well exceeding 250 m deep was designed and sequentially pumping scheme was adopted adapted to the progress of the excavation face. Three deep wells were successfully installed, and pumping experiments was carried out which inversed hydraulic parameters and confirmed the feasibility of well structure. The pumping capacity of these wells exceeding 700 m³/d and a maximum drawdown of 70 m. Based on the field experiments, a sequential dynamic dewatering scheme was proposed. The sequential dynamic dewatering scheme was verified by numerical simulation. The results show that this scheme can reduce the groundwater level above the tunnel by more than 50 m and effectively reduce the groundwater level in front of the tunnel excavation face. The design ideas and results of this study provide a reliable solution for the control of tunnel surge and sand inrush disasters under similar challenges.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 11","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12245-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074114","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}