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Pirrie D: Applications of automated
mineral analysis

Applications of automated mineral analysis

Sustainable Computing and Optimization

Multi-Criteria Decision Making for Risk Assessment of Emerging Environmental Contaminants

Following the importance of understanding and asssessing geotechnical hazards, vulnerability and risk, new concepts and techniques of reliability analysis have been developed in the last 20 years. Though widely accepted, application has been slow. This book introduces basic principles and methods of geotechnical risk and reliability and demonstrates their relevance for improved understanding, more effective strategies and better problem-solving skills. Attention is given to the latest developments in the application to geotechnical problems and how reliability analysis and assessment of hazard and risk along with suitable observational approaches can facilitate the management of risk.

Geotechnical Risk and Reliability, an Introduction

Earth Observation

The Geoinformatics Frontier: AI, Big Data, and Crowdsourced Technologies tackles the critical challenge of integrating Geoinformatics, AI, Big Data, and VGI; offering a comprehensive introduction to these pivotal concepts, the book elucidates their foundations and relevance to Geoinformatics. It approaches builds on the theory discussed with practical guidance, examples, and detailed case studies; equipping readers with the knowledge needed to effectively implement them. The book presents case studies spanning various sectors, showcasing how the technologies can be successfully employed to address intricate spatial issues and facilitate well-informed decision-making for the complexities of managing large-scale spatial datasets. It also provides indispensable insights into data collection, storage, quality control, and fusion techniques, offering practical solutions to the challenges of data storage, processing, and analysis. The Geoinformatics Frontier serves as an indispensable guide, bridging the gap in understanding and practice for geospatial scientists, empowering readers to harness the transformative potential of Geoinformatics and advanced computer technologies.

AI, Big Data, and Crowdsourced Technologies

The Geoinformatics Frontier

Geophysical Monograph Series

Distributed Acoustic Sensing in Borehole Geophysics Borehole geophysics involves measuring, imaging, and monitoring subsurface structures and activities by putting instruments into wellbores. Distributed acoustic sensing (DAS) technology is emerging as an effective and reliable tool in borehole geophysics because fiber-optic cables deployed at depth can produce high-quality data and images, even in harsh high-temperature and high-pressure environments. Distributed Acoustic Sensing in Borehole Geophysics is a comprehensive handbook on cutting-edge advances in borehole DAS technologies and their practical applications across geophysics. Volume highlights include: <ul><li>Summary of the evolution of DAS technologies and their primary applications</li><li>New developments in borehole DAS instrumentation and modeling</li><li>Examples of DAS data acquisition and processing in different contexts </li><li>Variety of imaging methods and techniques for integration of images with other data </li><li>Applications of borehole DAS systems, including monitoring earthquakes and hydraulic fracturing operations</li><li>Case studies of borehole DAS projects at diverse sites around the world, ranging from glaciers to geothermal fields</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.

Distributed Acoustic Sensing in Borehole Geophysics

How do you explore distant stars, buried water on Mars or the first moments after the Big Bang - without leaving your back garden? In The Radio Universe, award-winning astrophysicist Emma Chapman takes us on an electrifying voyage through the cosmos using one of the most powerful, yet overlooked, tools in science: the radio wave. With dazzling clarity and humour, Chapman reveals how these invisible messengers glide through space, bounce off planets, tunnel through clouds and slip past galactic dust - carrying secrets of the universe that no other kind of light can uncover. We follow a single radio wave as it escapes Earth and travels outward - ricocheting off the Moon, tunnelling through Venus's furnace-thick atmosphere, tracing ancient ice hidden in Mercury's shadows and diving deep into the swirling arms of the Milky Way. Along the way, we meet black holes that roar louder than stars, pulsars more precise than atomic clocks and galaxies lit by the very first starlight. We explore volcanic pancake planets, death-defying neutron stars, the eerie possibility of alien broadcasts - and the fragile question of our own future in the cosmos. A celebration of human ingenuity and cosmic curiosity, The Radio Universe reveals that the true frontier of space isn't 'out there' - it's humming quietly all around us, waiting to be heard.

How to Explore Outer Space Without Leaving Earth

The Radio Universe

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

How Vision Made us Human

The Line of Sight

Geologie und Metallogenie der Lagerstätten im Erzgebirge - Krušné hory

Wastewater Minimization and Re-Use

Supervised Learning in Remote Sensing and Geospatial Science is an invaluable resource focusing on practical applications of supervised learning in remote sensing and geospatial data science. Emphasizing practicality, the book delves into creating labeled datasets for training and evaluating models. It addresses common challenges like data imbalance and offers methods for assessing model performance. This guide bridges the gap between theory and practice, providing tools and techniques for extracting actionable information from raw geospatial data. The book covers all aspects of supervised learning workflows, including preparing diverse remotely sensed and geospatial data inputs. It equips researchers, practitioners, and students with essential knowledge for applied mapping and modeling tasks, making it an indispensable reference for advancing geospatial science.

Supervised Learning in Remote Sensing and Geospatial Science

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

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

Applications of automated mineral analysis

Informations bibliographiques

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