Article
Environmental Sciences
Caterina Gozzi, Antonella Buccianti
Summary: The chemical composition of river waters is crucial for understanding the impact of climate change and global warming on the environment. Compositional Data Analysis (CoDA) provides a statistical framework to analyze the complex dynamics of river catchments and the interrelationships among different components. This research proposes a new CoDA approach to investigate the changes in the chemical composition of Eastern Siberian rivers affected by permafrost degradation due to global warming. The findings reveal complex multiplicative laws and feedback mechanisms governing solutes in these rivers, indicating the need for spatiotemporal resilience metrics to assess rivers' response to environmental changes.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Geosciences, Multidisciplinary
Weiqing Li, Hui Qian, Panpan Xu, Kai Hou, Qiying Zhang, Yao Chen, Jie Chen, Wengang Qu, Wenhao Ren
Summary: Geochemical investigations of fluvial sediment in the Yellow River reveal the provenance, weathering and sedimentary recycling characteristics. The study finds that the surface sediment of the Yellow River has undergone a low intensity of weathering and recycling overall, but significant differences exist among the upper, middle, and lower reaches due to varying climatic conditions and tectonic settings. The source rocks exhibit a mixed type composition, consisting of felsic igneous rocks, intermediate igneous rocks, quartzose sedimentary rocks, and mafic components. These findings provide valuable insights into the paleoclimatic and paleoenvironmental changes in large watersheds in arid and semi-arid areas.
Article
Mathematics
Maliha Rashid, Naeem Saleem, Rabia Bibi, Reny George
Summary: In this paper, we investigate some extensions of multiple fixed point results for various distance spaces. We provide examples to illustrate these generalized structures and present an application showcasing the existence of a unique solution for a system of integral equations.
Article
Microbiology
Katelyn Weeks, Elizabeth Trembath-Reichert, Grayson Boyer, Kristopher Fecteau, Alta Howells, Francesca De Martini, Gillian H. Gile, Everett L. Shock
Summary: Hot spring outflow channels provide geochemical gradients that are reflected in microbial community compositions. The transition from chemotrophs to phototrophs in hot spring outflows, known as the photosynthetic fringe, is hypothesized to be influenced by pH, temperature, and/or sulfide concentration gradients. This study evaluates the predictive capability of geochemistry in determining the location of the photosynthetic fringe.
FRONTIERS IN MICROBIOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Daofu Song, Yuan Chen, Tieguan Wang, Meijun Li, Ping Li
Summary: The organic-rich Mesoproterozoic rocks from the Yanliao Rift in Northern China, specifically the Xiamaling and Hongshuizhuang formations, exhibit unique molecular compositions that suggest the presence of special ancient microbes during the Middle Mesoproterozoic era. These rocks contain distinct biomarkers, such as 13 alpha(n-alkyl)-tricyclic terpanes (13 alpha NATTs) and drimanes, indicating a different microflora compared to Phanerozoic bitumens. Additionally, the presence of elevated C-19 and C-20 regular tricyclic terpanes, rearranged hopanes, and low maturity indicators points towards a specific prokaryote source in the Mesoproterozoic sea.
MARINE AND PETROLEUM GEOLOGY
(2021)
Article
Geosciences, Multidisciplinary
Yi Liu, Maoqing Chen, Ting Zhang, Rui Zhang, Fei Cao, Shaobo Sun, Wang Zheng, Ruoyu Sun, Jiubin Chen
Summary: Human activities have released a large amount of biologically active metals into the oceans, but it is challenging to identify their sources and migration processes. This study presents century-long records of Zn and Cu concentrations and isotope compositions in corals from the northern South China Sea. The results show a significant increase in Zn and Cu concentrations since the 1980s, in line with increases in delta Zn-66 and delta Cu-65. The enrichment trends are attributed to human-induced rock weathering and soil erosion, transferring isotopically heavy Zn and Cu fluxes into the coastal ocean.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Energy & Fuels
Aulia Agus Patria, Ferian Anggara
Summary: This study investigated the composition and enrichment of critical elements in four Eocene coal seams in the basement rock of the Ombilin Basin in Indonesia. The results showed that the coal seams in the Ombilin Basin are enriched in U, V, and rare earth elements.
INTERNATIONAL JOURNAL OF COAL GEOLOGY
(2022)
Article
Geochemistry & Geophysics
Tara N. Jonell, Liviu Giosan, Peter D. Clift, Andrew Carter, Lisa Bretschneider, Ed C. Hathorne, Marta Barbarano, Eduardo Garzanti, Giovanni Vezzoli, Thet Naing
Summary: This study presents the first comprehensive analysis of the Holocene Irrawaddy megadelta, providing insights into the late Neogene evolution of the Irrawaddy River. The results show that the river's evolution is more in line with regional evidence for kinematic reorganization during late-stage India-Asia collision. The study also highlights the importance of late Miocene basin inversion and uplift along the Sagaing Fault in shaping the modern geometry and provenance of the Irrawaddy River.
EARTH AND PLANETARY SCIENCE LETTERS
(2022)
Article
Geochemistry & Geophysics
Christopher Rieser, Kamila Facevicova, Peter Filzmoser
Summary: This paper introduces the advantages of cell-wise robustness method for estimating outliers in the compositional data matrix, including estimation of variation and covariance matrix, as well as a regularized estimator for higher dimensional data.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2023)
Article
Geochemistry & Geophysics
Alex G. Lipp, Gareth G. Roberts, Alexander C. Whittaker, Charles J. B. Gowing, Victoria M. Fernandes
Summary: The study uses the geochemistry of river sediments to solve the inverse problem, generating geochemical maps of source regions and reliably predicting concentrations of major and trace elements in river sediments. The proposed scheme could serve as a novel means to generate geochemical baselines across drainage basins and within river channels.
GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS
(2021)
Article
Mathematics, Applied
Thang Pham
Summary: This paper presents new applications of the powerful framework developed by Bennett, Hart, Iosevich, Pakianathan, and Rudnev, which involve the product and quotient of distance sets, the L2 norm of the direction set, and the L2-norm of scales in difference sets.
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS
(2024)
Article
Environmental Sciences
Yang Tang, Guilin Han, Liu Man, Jie Zeng, Rui Qu
Summary: This study investigates the Fe contents and Fe isotope compositions in the suspended particulate matter (SPM) in the Lancang River Basin to understand the rock weathering processes. The results suggest that weathering processes have limited effect on the fractionation of Fe isotopes in the basin. The increase of dissolved oxygen in the river water promotes the decomposition and dissolution of SPM, leading to an increase in Fe content and slight positive fractionation of Fe isotope in SPM.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
R. Nagarajan, Sellappa Gounder Eswaramoorthi, A. Anandkumar, M. Ramkumar
Summary: This paper examines the environmental status of the Miri River in Borneo and investigates the provenance of its sediments through bulk chemistry analysis. The study also assesses the geochemical mobility, bioavailability, and potential toxicity of critical elements using BCR sequential extraction. The findings show that the sediments are weathered and recycled products of Neogene sedimentary rocks. The river's hydrodynamic characteristics result in a dominance of fine sand in the upstream section and medium silt in the downstream. The sediments are moderately to considerably contaminated by certain elements, with a significant biological impact expected downstream.
MARINE POLLUTION BULLETIN
(2023)
Article
Biodiversity Conservation
Hongchun Qu, Jian Xu, Zhaoni Li, Dianwen Wei, Fude Wang
Summary: Empirical Dynamic Modeling (EDM) is a powerful tool for ecosystem prediction by connecting current state to the similar and future state on the attractor manifold. However, the Euclidean distance metric used in these algorithms can bias the true distance and decrease the prediction performance. Manifold distance metric for both Simplex Projection and S-map was proposed and showed improved prediction accuracy for EDM.
ECOLOGICAL INDICATORS
(2023)
Article
Biodiversity Conservation
Hongchun Qu, Jian Xu, Zhaoni Li, Dianwen Wei, Fude Wang
Summary: Empirical Dynamic Modeling (EDM) is a powerful tool for complex ecosystem prediction, providing an equation-free modelling framework. However, the Euclidean distance metric used in these algorithms may bias the true distance on the attractor manifold and decrease prediction performance. To address this issue, a manifold distance metric was proposed for both Simplex Projection and S-map, leading to improved prediction accuracy.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Jacopo Cabassi, Valentina Rimond, Zhang Yeqing, Antonella Vacca, Orlando Vaselli, Antonella Buccianti, Pilario Costagliola
JOURNAL OF ENVIRONMENTAL SCIENCES
(2020)
Article
Nanoscience & Nanotechnology
Andrea Giaccherini, Giuseppe Cucinotta, Stefano Martinuzzi, Enrico Berretti, Werner Oberhauser, Alessandro Lavacchi, Giovanni Orazio Lepore, Giordano Montegrossi, Maurizio Romanelli, Antonio De Luca, Massimo Innocenti, Vanni Moggi Cecchi, Matteo Mannini, Antonella Buccianti, Francesco Di Benedetto
BEILSTEIN JOURNAL OF NANOTECHNOLOGY
(2019)
Article
Biodiversity Conservation
Valentina Rimondi, Pilario Costagliola, Renato Benesperi, Marco Benvenuti, Marc W. Beutel, Antonella Buccianti, Laura Chiarantini, Pierfranco Lattanzi, Daniela Medas, Pierluigi Parrini
ECOLOGICAL INDICATORS
(2020)
Article
Geochemistry & Geophysics
Roberta Sauro Graziano, Caterina Gozzi, Antonella Buccianti
JOURNAL OF GEOCHEMICAL EXPLORATION
(2020)
Article
Geochemistry & Geophysics
Caterina Gozzi, Roberta Sauro Graziano, Antonella Buccianti
Article
Geography, Physical
Francesco Toti, Adele Bertini, Angela Girone, Maria Marino, Patrizia Maiorano, Franck Bassinot, Nathalie Combourieu-Nebout, Sebastien Nomade, Antonella Buccianti
QUATERNARY SCIENCE REVIEWS
(2020)
Article
Geochemistry & Geophysics
Juan Jose Egozcue, Vera Pawlowsky-Glahn, Antonella Buccianti
Summary: Geochemical samples can be restricted to a locus in the sample space where a chemical equilibrium occurs. Typically, measurements focus on deviations from equilibrium as exact equilibrium is rare in geochemistry. Linear and non-linear equilibria are discussed, with linearization techniques proposed for the latter. Examples are used to illustrate the concepts, including reactions producing bicarbonate ions and olivine stoichiometry.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2021)
Article
Environmental Sciences
Caterina Gozzi, Vasilis Dakos, Antonella Buccianti, Orlando Vaselli
Summary: This study examines the factors influencing river geochemistry, finding that river chemical composition can change due to various factors and may even trigger Geochemical Regime Shifts. The results suggest a potential Geochemical Regime Shift for major elements in the lower reaches of the Tiber River, while trace elements respond gradually to environmental drivers.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Water Resources
Lisa Ghezzi, Antonella Buccianti, Roberto Giannecchini, Massimo Guidi, Riccardo Petrini
Summary: The study reveals that sediments in Baccatoio stream play a crucial role in controlling the sequestration and release of potentially toxic elements, with natural processes of precipitation and sorption reducing the pollutant loading. However, these sediments may also act as secondary pollution sources through redox cycling, impacting the stream environment and aquatic biota.
MINE WATER AND THE ENVIRONMENT
(2021)
Correction
Geochemistry & Geophysics
Juan Jose Egozcue, Vera Pawlowsky-Glahn, Antonella Buccianti
JOURNAL OF GEOCHEMICAL EXPLORATION
(2022)
Article
Environmental Sciences
Stefania Venturi, Antonio Randazzo, Franco Tassi, Beniamino Gioli, Antonella Buccianti, Giovanni Gualtieri, Francesco Capecchiacci, Jacopo Cabassi, Lorenzo Brilli, Federico Carotenuto, Riccardo Santi, Carolina Vagnoli, Alessandro Zaldei, Orlando Vaselli
Summary: During the COVID-19 pandemic, cities experienced a significant decrease in CO2 emissions, and a study in the historical center of Florence showed a fast response of CO2 fluxes and Delta C-13-CO2 values to changes in emitting sources. Although the direct impact was unclear, the daily local CO2 enhancement showed a gradual decrease during the lockdown phase and an increase with the resumption of traffic.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
C. Apollaro, D. Di Curzio, I. Fuoco, A. Buccianti, E. Dinelli, G. Vespasiano, A. Castrignano, S. Rusi, D. Barca, A. Figoli, B. Gabriele, R. De Rosa
Summary: The concept of natural background level (NBL) aims at distinguishing natural and anthropogenic contributions to groundwater contaminant concentrations, and an integrated probabilistic approach combining aquifer-based preselection criteria and multivariate non-parametric geostatistics has been proposed to assess NBL, providing contamination risk management tools.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Caterina Gozzi, Antonella Buccianti
Summary: Assessing the potential of new techniques to identify compositional time-space changes is important in geochemical data analysis for monitoring purposes. This study evaluates the performance of different statistical indices in tracing the evolution of geochemical composition and the relationships among its parts. The results show that the tested indices are consistent in most cases and can capture the interactions among the parts under the influence of environmental drivers.
NATURAL RESOURCES RESEARCH
(2022)
Article
Geochemistry & Geophysics
Matthias Templ, Caterina Gozzi, Antonella Buccianti
Summary: The Langelier-Ludwig square diagram is a commonly used diagnostic tool in groundwater chemistry, but the classic version may lead to incorrect conclusions. A new version of the diagram is proposed, which provides a better and unbiased understanding of water-environment interactions by describing the intricate relationship between chemical species in aqueous solutions.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2022)
Article
Geochemistry & Geophysics
Elisabetta Dore, Riccardo Biddau, Mario Lorrai, Paolo Botti, Antonella Buccianti, Franco Frau, Rosa Cidu
Summary: Assessing the baseline and threshold values of potentially toxic elements in groundwater is crucial for distinguishing natural contamination from human pollution. This study estimated the regional threshold values of various elements and compared them to drinking water and groundwater protection guidelines. The research also explored the geographical distribution and potential influence of water-rock interaction on trace elements in groundwater. The results revealed that the concentration of trace elements was mainly dependent on the parent materials the groundwater came into contact with, and physical-chemical parameters and geochemical characteristics could enhance the concentrations of certain elements.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Yapo Abole Serge Innocent Oboue, Yunfeng Chen, Sergey Fomel, Wei Zhong, Yangkang Chen
Summary: Strong noise can disrupt the recorded seismic waves and negatively impact subsequent seismological processes. To improve the signal-to-noise ratio (S/N) of seismological data, we introduce MATamf, an open-source MATLAB code package based on an advanced median filter (AMF) that simultaneously attenuates various types of noise and improves S/N. Experimental results demonstrate the usefulness and advantages of the proposed AMF workflow in enhancing the S/N of a wide range of seismological applications.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Upkar Singh, P. N. Vinayachandran, Vijay Natarajan
Summary: The Bay of Bengal maintains its salinity distribution due to the cyclic flow of high salinity water and the mixing with freshwater. This paper introduces an advection-based feature definition and algorithms to track the movement of high salinity water, validated through comparison with observed data.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Bijal Chudasama, Nikolas Ovaskainen, Jonne Tamminen, Nicklas Nordback, Jon Engstro, Ismo Aaltonen
Summary: This contribution presents a novel U-Net convolutional neural network (CNN)-based workflow for automated mapping of bedrock fracture traces from aerial photographs acquired by unmanned aerial vehicles (UAV). The workflow includes training a U-Net CNN using a small subset of photographs with manually traced fractures, semantic segmentation of input images, pixel-wise identification of fracture traces, ridge detection algorithm and vectorization. The results show the effectiveness and accuracy of the workflow in automated mapping of bedrock fracture traces.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Ruizhen Wang, Siyang Wan, Weitao Chen, Xuwen Qin, Guo Zhang, Lizhe Wang
Summary: This paper proposes a novel framework to generate a finer soil strength map based on RCI, which uses ensemble learning models to obtain USCS soil classification and predict soil moisture, in order to improve the resolution and reliability of existing soil strength maps.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhanlong Chen, Xiaochuan Ma, Houpu Li, Xuwei Xu, Xiaoyi Han
Summary: Simulated terrains are important for landform and terrain research, disaster prediction, rescue and disaster relief, and national security. This study proposes a deep learning method, IGPN, that integrates global information and pattern features of the local terrain to generate accurate simulated terrains quickly.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Daniele Secci, Vanessa A. Godoy, J. Jaime Gomez-Hernandez
Summary: Neural networks excel in various machine learning applications, but lack physical interpretability and constraints, limiting their accuracy and reliability in predicting complex physical systems' behavior. Physics-Informed Neural Networks (PINNs) integrate neural networks with physical laws, providing an effective tool for solving physical problems. This article explores recent developments in PINNs, emphasizing their application in solving unconfined groundwater flow, and discusses challenges and opportunities in this field.
COMPUTERS & GEOSCIENCES
(2024)
Article
Computer Science, Interdisciplinary Applications
Renguang Zuo, Ying Xu
Summary: This study proposes a hybrid deep learning model consisting of a one-dimensional convolutional neural network (1DCNN) and a graph convolutional network (GCN) to extract joint spectrum-spatial features from geochemical survey data for mineral exploration. The physically constrained hybrid model performs better in geochemical anomaly recognition compared to other models.
COMPUTERS & GEOSCIENCES
(2024)