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Allen Philip A.: Basin Analysis

Basin Analysis

Journeys to the Polar Regions in Search of Life, the Cosmos, and our Future

Ends of the Earth

Mining has evolved in the 21st century into an indispensable industry that provides a variety of mineral products needed to sustain a modern society. To achieve efficiency, it has also grown into an integrated enterprise of enormous size, wielding substantial economic power. Tailings is essentially a fine-particle mine-waste byproduct. Its management has gone through major transformations in the last century. In early years tailings was disposed of out of sight and literally out of mind. However, due to the physical and chemical characteristics of tailings, this laissez-faire approach in dealing with its disposal led to significant environmental degradation such as pollution and blockage of watercourses, etc. With the rising environmental protection movement, the mining operation is under increasing regulatory constraints and governmental monitoring. Modern tailings dams have become major hydraulic structures designed, constructed, and monitored until they are properly closed and reclaimed after the completion of mining tenure. These dams are often higher than 100 m, with a storage capacity of over hundreds of million cubic metres, serving a vital industrial function for the public. Unfortunately, when such a dam fails, it unleashes tremendous destructive power causing inundation of water and tailings mud over the downstream area resulting in fatalities, loss of property and infrastructure, and lasting environmental degradation. This book presents a condensed monograph on forensic investigations of select case histories of failed tailings dams. The selection tends to emphasize recent cases that have representative characteristics including those affecting the evolution of the current practice of tailings dam engineering. Efforts are made to facilitate readers’ understanding of important factors involved by using plain language. Technical terms are clearly explained before their usage. The objective of the monograph is to provide a neutral reference on tailings dam failure.The author hopes ongoing dialogues by all stakeholders on the important topics of dam safety will raise the safety standard of tailings dams to a new level compatible with public expectations of the sustainable mining industry.&nbsp; &nbsp; &nbsp;&nbsp;

Socio-Economic-Environmental Impacts

Tailings Dam Failure

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized-and sparse datasets of input variables enhanced and/or rescaled-to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more. Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.

Prediction Models Exploiting Well-Log Information

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Earth Observation

Multimodal Remote Sensing Data Fusion for Classification: Algorithms and Applications offers a comprehensive overview of Earth observation data fusion, focusing on multimodal remote sensing. It presents state-of-the-art algorithms and practical applications that enhance understanding of Earth's dynamic processes. Through detailed analysis, case studies, and practical examples, this book equips readers with the necessary tools to effectively utilize multimodal data fusion for land cover and land use classification, as well as environmental monitoring, making it an invaluable resource for those in remote sensing and Earth sciences. Furthermore, the book is tailored for Masters and Doctorate students, scientists, and professionals in remote sensing, geography, and Earth sciences. It delves into the integration and analysis of multimodal remote sensing data, offering insights into sustainable solutions for environmental challenges. This comprehensive coverage ensures readers are well-versed in the cutting-edge techniques and methodologies required for advanced Earth observation and classification tasks.

Algorithms and Applications

Multimodal Remote Sensing Fusion and Classification

This book identifies air pollution in megacity areas as a serious environmental issue that calls for prompt countermeasures. The first book to compare air pollution in Mexican megacities to those in Japan, it examines air pollution trends for the past 50 years, mainly focusing on Mexico and Japan, but also including data from the US and China. It consists of 3 sections, discussing 1) air pollutants and formation mechanisms; 2) air pollution trends and contributing factors; and 3) Characteristics of air pollution in three Mexican Megacity Areas - Mexico City, Guadalajara and Monterrey. It also proposes co-beneficial countermeasure scenarios that can effectively improve regional and global atmospheric environmental conditions. Helping readers to understand air pollution formation mechanisms and countermeasure scenarios that are effective at both regional and global scales, the book appeals to researchers and graduate students in the field of atmospheric environmental science, as well as undergraduate science, engineering and social sciences students, and environmental administrative officers and anyone interested in our atmospheric environment.

Mexico and Japan

Urban Air Pollution

Unlocking the Secrets of the Deep Sea

The Dark Frontier

How Vision Made us Human

The Line of Sight

Geophysical Monograph Series

Salt in the Earth Sciences Evaporite Rocks and Salt Deposition Salt is formed when water rich in evaporite minerals accumulates on the Earth's surface and then evaporates. Over time, pressure and tectonics change the structure and shape of salt layers. Recent technological advances have improved the interpretation and modeling of subsurface salt structures. Salt in the Earth Sciences: Evaporite Rocks and Salt Deposition presents a global overview of salt deposition and deformation in sedimentary basins, synthesizing data analysis, observations, theories, and modeling. Volume highlights include: <ul><li>Overview of salt use by humans from prehistoric times to the modern industrial world</li><li>Chemical and physical principles of evaporite deposition in sedimentary basins</li><li>Effects of gravity and tectonic forces on rock salt deformation</li><li>Development of salt structures in orogenic belts and deep basins</li><li>Seismic interpretation methods for identification of subsurface salt structures</li><li>Key sedimentological models for evaporite deposition in continental and marine environments</li><li>Global examples ranging from modern hypersaline rift lakes to ancient marine salt basins</li></ul> The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Evaporite Rocks and Salt Deposition

Salt in the Earth Sciences

Fifty Things to Do in the Garden

Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring. This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies.

Deep Learning for Earth Observation and Climate Monitoring

Oceanic Transform Faults to Continental Plate Boundaries

Strike-Slip Tectonics

Remote Sensing

Basin Analysis

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