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Elsevier

Libros en Ciencias de la Tierra y Planetarias

  • Acid Mine Drainage

    Sustainable Mining Practices for Mitigating Environmental Impact
    • 1 Edición
    • Athanas Simon Macheyeki + 2 más
    • Inglés
    Acid Mine Drainage: Sustainable Mining Practices for Mitigating Environmental Impact provides an in-depth analysis of acid mine drainage (AMD) and its profound effects on ecosystems and communities surrounding mining operations. The book begins by explaining the nature of AMD, including its formation, environmental and socioeconomic impacts, and methods for predicting and monitoring its occurrence. It emphasizes the importance of effective sampling techniques and the use of predictive modeling tools to understand and manage AMD risks. The text explores both conventional and non-conventional mitigation strategies, detailing active and passive treatment methods, including innovative biotechnological approaches and ecosystem-based solutions. It also highlights case studies that showcase successful AMD management practices while addressing the challenges faced in high-impact regions. Finally, the book discusses future directions for sustainable mining practices, emphasizing the need for collaborative resilience and the adoption of innovative solutions to close existing gaps in AMD management.This comprehensive overview serves as an essential resource for researchers and industry professionals committed to reducing the environmental impact of mining activities while promoting sustainable resource management.

  • Rock Fracture

    Theories, Modeling Methods, and Engineering Applications
    • 1 Edición
    • Shibin Tang + 1 más
    • Inglés
    Rock Fracture: Theories, Modeling Methods, and Engineering Applications explores the principles and advanced techniques used to understand and predict rock fracture behavior. Sections discuss the theoretical framework of fracture mechanics, examining how factors like T-stress influence brittle rock failure under various loading conditions, including compression and tension. It then discusses various modeling approaches for crack propagation, such as fracture mechanics criteria, localized stress models, and their applications to different rock specimens and fault configurations. Hydraulic fracturing theories, including numerical models for fracture initiation and propagation around boreholes, along with the effects of end friction and jointed rock mass failure are also addressed.Finally, the book investigates the progressive failure of rock slopes, emphasizing the importance of numerical simulations to anticipate failure modes like toppling and shear failure. This comprehensive treatment underscores the importance of combining theoretical understanding with modeling techniques to optimize engineering practices. Ultimately, this book offers valuable insights for researchers and engineers committed to safer and more efficient rock engineering solutions.

  • Advances in Remote Sensing for Forest Fire Management

    Technologies, Applications, Case Studies and Future Directions
    • 1 Edición
    • Carmen Quintano + 3 más
    • Inglés
    Advances in Remote Sensing for Forest Fire Management: Technologies, Applications, Case Studies and Future Directions provides a theoretical foundation to Earth Observation methodologies, algorithms, and technologies for analyzing forest fires. From detection to damage assessment, this book offers a comprehensive understanding of forest fires, incorporating insights from remote sensing, ecology, forest management, and meteorology. Through real-world case studies and the utilization of state-of-the-art deep learning and artificial intelligence (AI) algorithms on remote sensing data, readers will gain a multidisciplinary perspective on forest fire management. This is essential for graduate students, researchers, and professionals seeking to utilize remote sensing techniques to further their research and knowledge of forest fire management through cutting-edge remote sensing technologies and interdisciplinary insights.

  • Reshaping Geotechnical Engineering with Machine Learning

    Theory, Applications, and Innovations
    • 1 Edición
    • Divesh Ranjan Kumar + 3 más
    • Inglés
    Reshaping Geotechnical Engineering with Machine Learning: Theory, Applications, and Innovations explores the transformative impact of machine learning (ML) on the field of geotechnical engineering. The book begins by examining the broad applications of ML in key areas such as foundation engineering and slope stability, demonstrating how advanced algorithms can enhance predictive accuracy and decision-making. It emphasizes the importance of robust data acquisition and preprocessing techniques, which are critical for the successful implementation of ML models in geotechnical contexts. The text examines the use of machine learning for predicting soil behavior, a complex challenge in geotechnical engineering, and highlights its role in risk assessment and management.In addition, it also addresses the integration of ML with finite element modeling to improve the analysis of tunnel and underground stability. The applications of machine learning in understanding geotechnical materials further showcase the versatility of these techniques. It also covers experimental investigations, including laboratory and field studies, which provide essential data for model training and validation. Through detailed case studies, the book illustrates practical implementations of machine learning, bridging theory and real-world problem-solving.

  • Big Data Mining and Machine Learning in Geoscience

    • 1 Edición
    • Yongzhang Zhou + 4 más
    • Inglés
    Big Data Mining and Machine Learning in Geoscience offers a comprehensive overview of techniques and applications of data science in the geosciences. Sections cover essential, foundational concepts in data cleaning and preprocessing, thus ensuring the quality and reliability of geoscientific data. Next, the book explores dimensionality reduction methods designed to simplify high-dimensional data without losing critical information. The text covers classification and prediction techniques that enable the identification of patterns and forecasting of geological phenomena, and graphical data processing and handling of infinite stream data and time series are highlighted, along with their importance in real-time monitoring and dynamic systems analysis.In addition, the book explores advanced machine learning and deep learning methods, showcasing their transformative impact on geoscientific research. It also introduces knowledge graphs and large language models as emerging tools that enhance data integration, interpretation, and discovery. AI-driven geology is presented as a forward-looking approach that leverages artificial intelligence to revolutionize traditional geological practices, offering improved accuracy and insight. Throughout, practical examples and case studies illustrate how these technologies can be applied to solve complex problems in geoscience.

  • AI Below the Surface

    Navigating the Deep Ocean with Intelligence
    • 1 Edición
    • Palanichamy Naveen + 2 más
    • Inglés
    AI Below the Surface: Navigating the Deep Ocean with Intelligence provides a comprehensive overview of how Artificial Intelligence (AI) is utilized in marine science, marine biology, and oceanography. Through its exploration of advanced AI technologies and their interaction with complex underwater ecosystems, this edited volume offers valuable insights into future applications and trends as well as to ethical considerations and challenges. Comprised of twelve chapters authored by global experts in AI, marine biology, and oceanography, the book caters to students, researchers, and practitioners seeking a deep understanding of AI's impact in these fields.This resource serves as an accessible and indispensable guide, shedding light on the transformative role of AI in marine exploration.

  • Stratigraphy & Timescales

    • 1 Edición
    • Volumen 11
    • Inglés
    Stratigraphy & Timescales series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

  • Ground Penetrating Radar

    Theory and Practice
    • 2 Edición
    • Erica Carrick Utsi
    • Inglés
    Ground Penetrating Radar: Theory and Practice, Second Edition provides well-thought-out, fully updated, and expanded coverage of this NDT, trenchless technique for investigating the subsurface. Written by a recognized field specialist, the volume clearly explains not only how the technology works with introductions to the underlying physics and formation of signal patterning, but also spotlights how it can be successfully applied, including experiential insights into how parameters such as wavelength, attenuation (loss), environment, target size, and depth need proper consideration in any sampling strategy to obtain good survey results.Additional chapters explore a variety of methods for velocity calibration and suggest where they may be useful, review data processing, and address signal loss in challenging soil conditions and potential problem environments with a suite of useful resolution best practices. New to this edition are discussions on specialist GPR applications and state-of-the-art innovations (e.g., data digitization tools; machine learning, deep learning, artificial intelligence to improve detection and reliability in data interpretation; and robotization).

  • Quantitative Methods in Stratigraphy

    A Multi-Proxy Palaeoenvironmental Analysis of Outcrop and Core Data
    • 1 Edición
    • Ondřej Bábek
    • Inglés
    Quantitative Methods in Stratigraphy: A Multi-Proxy Palaeoenvironmental Analysis of Outcrop and Core Data explores the current advances in technology, offering a wide range of quantitative geophysical, geochemical, and spectral methods, which are less expensive, timesaving, and often non-destructive. The book first outlines the main principles and applications of stratigraphy and paleoenvironmental analysis. Chapters then work methodically through quantitative data in stratigraphy, gamma-ray methods, magnetic susceptibility and magnetometry, and diffuse reflectance spectroscopy. Near infrared (NIR) and Fourier-transform infrared (FTIR) spectroscopy as well as energy-dispersive X-ray fluorescence (EDXRF) spectroscopy are reviewed in- depth.With the wide range of now affordable quantitative methods, high-resolution sampling, and large datasets available across strata, outcrop research can offer unprecedented potential for outcrop-to-core-to-w... log correlation, and subsequent (paleo)environmental analysis while keeping data reproducibility at a high level.This book serves as a useful reference guide for geoscientists, academicians, and researchers, helping them keep pace with advances in technology and instrumentation and conduct state-of-the-art research in geosciences.

  • EnviroGIS

    Geographic Information Systems in Environmental Analysis
    • 1 Edición
    • Jesús Rodrigo-Comino
    • Inglés
    EnviroGIS: Geographic Information Systems in Environmental Analysis is a comprehensive and timely textbook that provides a foundation for those considering further research in GIS, environmental sciences, or geosciences. It offers a thorough understanding of how to initiate a GIS course in Geosciences, introducing the importance of GIS by taking a step-by-step approach for delineating the study area. This book provides diverse ideas, data, and practical examples for both replication and reference to students, scientists, and lecturers engaging with GIS and environmental science, particularly areas focused on Earth Surface Processes using tools like ArcGIS Pro, QGIS, Terrset/Idrissi, Google Earth Engine, R, and Pix4D.In the first part, the textbook delineates the importance of GIS. Moving on, in the second part it focuses on the most relevant topics in environmental analysis. It outlines the preparation of seminars related to changing scales, soil, plant, and catchment dynamic processes, such as erosion and interpolations. Covering topics such as data mining, and connectivity processes, EnviroGIS highlights the way in which Artificial Intelligence enables the creation of accurate forecasts of challenging-to-predi... Earth surface processes. Additionally, the biosphere is delved into to show how GIS courses assess fauna and vegetation within natural or human ecosystems. The final part of the book is centered on specific cases, considering different GIS data formats including shapefiles, multilayer projects, and recent natural hazards or disasters, such as volcanic eruptions or hillslope degradation due to human activities.

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