Predictions of our future climate vary greatly, with detailed forecasts still subject to debate. One key uncertainty is caused by the lack of our present knowledge of transport processes in the air-water interface, which poses the main transfer resistance between the oceans and atmosphere. Modeling and predictions of our global climate can only be improved by gaining a more complete understanding of the mechanisms involved in transporting energy, mass and momentum across the phase boundary.

This monograph contains selected, peer-reviewed post-conference contributions of the International Workshop on Transport at the Air-Sea Interface, which took place at Heidelberg University from September 6-8, 2006. The workshop brought together leading scientists from around the world, bridged the gap between modeling and measurements, and sparked new ideas for novel simulation and experimental efforts. The focus of the monograph is on small scale processes directly at the interface and includes the topics:

- Small-scale transport processes at the air-sea interface: surface divergence, microscale and largescale wave breaking, intermittency and rain-induced gas exchange

- Novel measurement techniques including eddy correlation measurements, active and passive thermography, visualization of concentration fields by fluorescent dyes, profile measurements and visualization of flow fields by particle imaging velocimetry (PIV)

- Modeling of the transport across the air-water interface and simulation of flow fields as well as concentration fields in the boundary layer

- Parameterizations of the transfer process for global modeling

Future Sustainable Ecosystems: Complexity, Risk, Uncertainty provides an interdisciplinary, integrative overview of environmental problem-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water, energy scarcity, and climate change risks. It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. Discussions include a broad, integrated perspective on sustainability, integrated risk, multi-scale changes and impacts taking place within ecosystems worldwide. State-of-the-art statistical techniques, including Bayesian hierarchical, spatio-temporal, agent-based and game-theoretic approaches are explored. The author then focuses on the real-world integration of observational and experimental data and its use within statistical models.

This single-volume thoroughly summarizes advances in the past several decades and emerging challenges in fundamental research in geotechnical engineering. These fundamental research frontiers are critically reviewed and described in details in lights of four grand challenges our society faces: climate adaptation, urban sustainability, energy and material resources, and global water resources. The specific areas critically reviewed, carefully examined, and envisioned are: sensing and measurement, soil properties and their physics roots, multiscale and multiphysics processes in soil, geochemical processes for resilient and sustainable geosystems, biological processes in geotechnics, unsaturated soil mechanics, coupled flow processes in soil, thermal processes in geotechnical engineering, and rock mechanics in the 21st century.

Knowledge of the basic interactions that take place between geological materials and different substances is the first step in understanding the effects of adsorption and other interfacial processes on the quality of rocks and soils, and on driving these processes towards a beneficial or neutral result. Interfacial Chemistry of Rocks and Soils examines the different processes at solid and liquid interfaces of soil and rock, presenting a complete analysis that emphasizes the importance of chemical species on these interactions. This Second Edition features novel results in the field and expanded coverage of the kinetics of interfacial processes. New content includes models of heterogeneous isotope exchange, sorption isotherms for heterovalent cation exchange, as well as sorption of anions by chemically modified clays. Summarizing the results and knowledge of the authors' research in this field over several decades, this volume: Explores the individual components of the studied systems: the solid, the solution, and the interface Discusses the characteristics and thermodynamics of the interface Profiles the most important analytical methods in the study of interfacial processes Demonstrates transformations initiated by interfacial processes Outlines avenues of treatment that may solve geological, soil science, and environmental problems Drawn chiefly from the authors' years of research at the Imre Lajos Isotope Laboratory in the Department of Physical Chemistry at the University of Debrecen in Hungary, this book discusses chemical reactions on the surfaces/interfaces of soils and rocks; examines the role of these processes in environmental, colloid and geochemistry; and explores the effects on agricultural, environmental and industrial applications.

The study of the topography and structure of the ocean floor is one of the most important stages in ascertaining the geological structure and history of development of the Earth's oceanic crust. This, in its turn, provides a means for purposeful, scientifically-substantiated prospecting, exploration and development of the mineral resources of the ocean. The Atlantic Ocean has been geologically and geophysically studied to a great extent and many years of investigating its floor have revealed the laws governing the structure of the major forms of its submarine relief (e. g. , the continental shelf, the continental slope, the transition zones, the ocean bed, and the Mid-Oceanic Ridge). The basic features of the Earth's oceanic crust structure, anomalous geophysical fields, and the thickness and structure of its sedimentary cover have also been studied. Based on the investigations of the Atlantic Ocean floor and its surrounding continents, the presently prevalent concept of new global tectonics has appeared. A great number of works devoted to the results of geomorphological, geolog ical, and geophysical studies of the Atlantic Ocean floor have appeared. In the U. S. S. R. , such summarizing works as The Geomorphology of the Atlantic Ocean Floor [34], Types of Bottom Sediments of the Atlantic Ocean [24], The Geology of the Atlantic Ocean [38], and, somewhat earlier, Geophysical Studies of the Earth's Crust Structure in the Atlantic Ocean [13], have been published.

This book highlights recent advances in the discipline of biogeochemistry that have directly resulted from the development of critical zone (CZ) science. The earth's critical zone (CZ) is defined from the weathering front and lowest extent of freely circulating groundwater up through the regolith and to the top of the vegetative canopy. The structure and function of the CZ is shaped through tectonic, lithologic, hydrologic, climatic, and biological processes and is the result of processes occurring at multiple time scales from eons to seconds. The CZ is an open system in which energy and matter are both transported and transformed. Critical zone science provides a novel and unifying framework to consider those coupled interactions that control biogeochemical cycles and fluxes of energy and matter that are critical to sustaining a habitable planet. Biogeochemical processes are at the heart of energy and matter fluxes through ecosystems and watersheds. They control the quantity and quality of carbon and nutrients available for living organisms, control the retention and export of nutrients affecting water quality and soil fertility, and influence the ability for ecosystems to sequester carbon. As the term implies, biogeochemical cycles, and the rates at which they occur, result from the interaction of biological, chemical, and physical processes. However, finding a unifying framework by which to study these interactions is challenging, and the different components of bio-geo-chemistry are often studied in isolation. The authors provide both reviews and original research contributions with the requirement that the chapters incorporate a CZ framework to test biogeochemical theory and/or develop new and robust predictive models regarding elemental cycles. The book demonstrates how the CZ framework provides novel insights into biogeochemistry.

Thermochronology, the study of the thermal history of rocks, enables us to quantify the nature and timing of tectonic processes. First published in 2006, Quantitative Thermochronology is a robust review of isotopic ages, and presents a range of numerical modeling techniques to allow the physical implications of isotopic age data to be explored. The authors provide analytical, semi-analytical and numerical solutions to the heat transfer equation in a range of tectonic settings and under varying boundary conditions. They then illustrate their modeling approach built around a large number of case studies. The benefits of different thermochronological techniques are also described. Computer programs on an accompanying website at www.cambridge.org/9781107407152 are introduced through the text and provide a means of solving the heat transport equation in the deforming Earth to predict the ages of rocks and compare them directly to geological and geochronological data. Several short tutorials, with hints and solutions, are also included.

Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure measurement of interest. Model-based geostatistics uses explicit probability models and established principles of statistical inference to address questions of this kind. Features: Presents state-of-the-art methods in model-based geostatistics. Discusses the application these methods some of the most challenging global public health problems including disease mapping, exposure mapping and environmental epidemiology. Describes exploratory methods for analysing geostatistical data, including: diagnostic checking of residuals standard linear and generalized linear models; variogram analysis; Gaussian process models and geostatistical design issues. Includes a range of more complex geostatistical problems where research is ongoing. All of the results in the book are reproducible using publicly available R code and data-sets, as well as a dedicated R package. This book has been written to be accessible not only to statisticians but also to students and researchers in the public health sciences. The Authors Peter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine, Lancaster University. He also holds honorary positions at the Johns Hopkins University School of Public Health, Columbia University International Research Institute for Climate and Society, and Yale University School of Public Health. His research involves the development of statistical methods for analyzing spatial and longitudinal data and their applications in the biomedical and health sciences. Dr Emanuele Giorgi is a Lecturer in Biostatistics and member of the CHICAS research group at Lancaster University, where he formerly obtained a PhD in Statistics and Epidemiology in 2015. His research interests involve the development of novel geostatistical methods for disease mapping, with a special focus on malaria and other tropical diseases. In 2018, Dr Giorgi was awarded the Royal Statistical Society Research Prize "for outstanding published contribution at the interface of statistics and epidemiology." He is also the lead developer of PrevMap, an R package where all the methodology found in this book has been implemented.

Advances in geomicrobiology have progressed at an accelerated pace in recent years. Ehrlich's Geomicrobiology, Sixth Edition surveys various aspects of the field, including the microbial role in elemental cycling and in the formation and degradation of minerals and fossil fuels. Unlike the fifth edition, the sixth includes many expert contributors besides the editors, providing added depth to each topic and broadening this edition's overall insight into geomicrobiology. The Sixth Edition Includes: Extensive revisions and updates to most chapters from the fifth edition A new chapter on terrestrial subsurface ecosystems A new chapter summarizing important principles of geomicrobiology New discussions and references on the latest findings and theories in geomicrobiology Through revisions, updates, and the introduction of new authors who are specialists on the topics covered, this new edition is the most in-depth and current overview of geomicrobiology. The research presented has applications in agriculture, forestry, aquaculture, marine science, the metals industry, and more. The new breadth and scope as well as the current and developing applications which this book addresses make it a must-have source in geomicrobiology.

This title includes a number of Open Access chapters. Earth science is a broad field of study that encompasses many different disciplines, including meteorology, climatology, and geology. The importance of the earth sciences-in predicting weather and climate, tracking pollution, drilling for petroleum, evaluating soil, and monitoring ground water-is paramount in modern society. This new work covers a broad selection of topics, including use of satellite remote sensing to track pollution and weather patterns, monitoring for pre-earthquake signals, using earthquakes to uncover new information about the earth, desalination of ground water, predicting deforestation, and much more.

Engineers seek solutions to problems, and the economic viability of each potential solution is normally considered along with the technical merits. This is typically true for the petroleum sector, which includes the global processes of exploration, production, refining, and transportation. Decisions on an investment in any oil or gas field development are made on the basis of its value, which is judged by a combination of a number of economic indicators. Economic Analysis of Oil and Gas Engineering Operations focuses on economic treatment of petroleum engineering operations and serves as a helpful resource for making practical and profitable decisions in oil and gas field development. Reflects major changes over the past decade or so in the oil and gas industry Provides thorough coverage of the use of economic analysis techniques in decision-making in petroleum-related projects Features real-world cases and applications of economic analysis of various engineering problems encountered in petroleum operations Includes principles applicable to other engineering disciplines This work will be of value to practicing engineers and industry professionals, managers, and executives working in the petroleum industry who have the responsibility of planning and decision-making, as well as advanced students in petroleum and chemical engineering studying engineering economics, petroleum economics and policy, project evaluation, and plant design.

Biogeochemistry: An Analysis of Global Change, Fourth Edition, considers how the basic chemical conditions of the Earth, from atmosphere to soil to seawater, have been, and are being, affected by the existence of life. Human activities in particular, from the rapid consumption of resources to the destruction of the rainforests and the expansion of smog-covered cities, are leading to rapid changes in the basic chemistry of the Earth. The new edition features expanded coverage of topics, including the cryosphere, the global hydrogen cycle, biomineralization and the movement of elements across landscapes and continents by organisms and through global trade. The book will help students and researchers extrapolate small-scale examples to a global level. With cross-referencing of chapters, figures and tables, and an interdisciplinary coverage of the topic, this updated edition provides an excellent framework for examining global change and environmental chemistry.

Following the successful first edition of this book on drinking water quality and health, this new edition puts more focus on the importance of minerals in drinking water. It includes new scientific material and presents additional studies on the negative health effects of reverse osmosis water. The various safety organizations working on drinking water all warn about unhealthy constituents, as well as elements that can cause corrosion or scaling on pipes and installations. However, drinking water may also provide a substantial portion of the daily mineral intake, especially for the elderly and children, or those at risk of deficiencies due to unhealthy eating habits or starvation. Thus, a holistic approach to drinking water is presented in this book and the scope is extended from standards for undesirable substances to the basic mineral composition of water, examining 22 nutrient elements and ions and 21 toxic substances. The function of the nutrients in the body, symptoms of deficiency and overload, and advantages of the minerals from drinking water are presented, as well as symptoms of toxic elements from drinking water. The authors also suggest healthy ranges of minerals and mineral ratios for drinking water. The book offers a valuable resource for the health evaluation of drinking waters, for private well owners, public water producers and safety organizations alike.

Today more than 5 million chemicals are known and roughly 100,000 of them are frequently used, with both numbers rising. Many of these chemicals are ultimately released into the environment and may cause adverse effects to ecosystems and human health. Effect-directed analysis (EDA) is a promising tool for identifying predominant toxicants in complex, mostly environmental mixtures combining effect testing, fractionation and chemical analysis. In the present book leading experts in the field provide an overview of relevant approaches and tools used in EDA. This includes diagnostic biological tools, separation techniques and advanced analytical and computer tools for toxicant identification and structure elucidation. Examples of the successful application of EDA are discussed such as the identification of mutagens in airborne particles and sediments, of endocrine disruptors in aquatic ecosystems and of major toxicants in pulp and paper mill effluents. This book is a valuable, comprehensive and interdisciplinary source of information for environmental scientists and environmental agencies dealing with the analysis, monitoring and assessment of environmental contamination.

Simple English format Foundation sections on inference and evidence, and data integration in project management Exploration of R usage through a narrative examining a generic integrated conservation and development project A final section on R for reproducible workflow Accompanied by an R package

Simple English format Foundation sections on inference and evidence, and data integration in project management Exploration of R usage through a narrative examining a generic integrated conservation and development project A final section on R for reproducible workflow Accompanied by an R package

This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.

This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.

The waters and rich resources of the South China Sea are claimed by seven different countries, and it is estimated that approximately 40% of the world's trade moves through the area. Marine Geology and Geotechnology of the South China Sea and Taiwan Strait examines the physiology, geology, and potential development of this important portion of the western Pacific Ocean's largest marginal sea. The book covers multiple oceanographic topics, and further discusses topography, sedimentation, wave generation, and hazards such as earthquakes, storm surges, and tsunamis. In addition, it explains the engineering issues and design considerations involved regarding a potential Taiwan Strait Crossing, as well as the development of near-shore communities. Features: Examines seabed material, such as clays, calcareous, siliceous, and various other organic sediments Presents different potential routing strategies for sea crossings using tunnels, bridges, or a combination of both Provides bridge design recommendations considering aesthetics, seismic and wind issues, potential vessel collisions, and more Includes a historical timeline and useful maps regarding the political complexity of the area and the various territorial claims made by different nations Marine Geology and Geotechnology of the South China Sea and Taiwan Strait serves as a valuable resource for geotechnical engineers, marine geologists, civil engineers, and professionals concerned with the region.

Since 1980, progress in research on the fission-track dating method and its applications to earth and related sciences has been evaluated during an International Workshop that takes place every four years. This volume contains a selection of papers presented at the International Workshop held in Gent (Belgium) from 26 to 30 August, 1996. Primarily the articles will be of interest to the active fission-track scientists but the combination of research papers and critical reviews that is presented may also provide the interested non-specialist reader with a valuable insight into the fission-track dating method and its role in the earth sciences. This reader will undoubtedly note the evolution that the method has undergone during the last fifteen years, from a technique that was debated in most of its facets to an established chronometric tool with unique qualities in geothermochronology.

Evaluating Climate Change Impacts discusses assessing and quantifying climate change and its impacts from a multi-faceted perspective of ecosystem, social, and infrastructure resilience, given through a lens of statistics and data science. It provides a multi-disciplinary view on the implications of climate variability and shows how the new data science paradigm can help us to mitigate climate-induced risk and to enhance climate adaptation strategies. This book consists of chapters solicited from leading topical experts and presents their perspectives on climate change effects in two general areas: natural ecosystems and socio-economic impacts. The chapters unveil topics of atmospheric circulation, climate modeling, and long-term prediction; approach the problems of increasing frequency of extreme events, sea level rise, and forest fires, as well as economic losses, analysis of climate impacts for insurance, agriculture, fisheries, and electric and transport infrastructures. The reader will be exposed to the current research using a variety of methods from physical modeling, statistics, and machine learning, including the global circulation models (GCM) and ocean models, statistical generalized additive models (GAM) and generalized linear models (GLM), state space and graphical models, causality networks, Bayesian ensembles, a variety of index methods and statistical tests, and machine learning methods. The reader will learn about data from various sources, including GCM and ocean model outputs, satellite observations, and data collected by different agencies and research units. Many of the chapters provide references to open source software R and Python code that are available for implementing the methods.

Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data, such as remote sensing, geographic information systems (GIS), and GPS as well as their integration into landscape-scale geospatial statistical models and maps. The book explores how to extract information from remotely sensed imagery, GIS, and GPS, and how to combine this with field data-vegetation, soil, and environmental-to produce a spatial model that can be reconstructed and displayed using GIS software. Readers learn the requirements and limitations of each geospatial modeling and mapping tool. Case studies with real-life examples illustrate important applications of the models. Topics covered in this book include: An overview of the geospatial information sciences and technology and spatial statistics Sampling methods and applications, including probability sampling and nonrandom sampling, and issues to consider in sampling and plot design Fine and coarse scale variability Spatial sampling schemes and spatial pattern Linear and spatial correlation statistics, including Moran's I, Geary's C, cross-correlation statistics, and inverse distance weighting Geospatial statistics analysis using stepwise regression, ordinary least squares (OLS), variogram, kriging, spatial auto-regression, binary classification trees, cokriging, and geospatial models for presence and absence data How to use R statistical software to work on statistical analyses and case studies, and to develop a geospatial statistical model

Trace element analysis plays a prominent role in various fields, from mineralogy and geology to semiconductor manufacture and foods. In geochemical exploration, the analysis of trace elements assumes high significance due to the multifaceted role played by them. The analyte is at the detection limit of many instrumental techniques. This makes their determination difficult This book covers a wide spectrum of destructive and non-destructive analytical techniques and recent developments in them used all over the world, including developing countries, for quantitation of trace elements. With revolutionary progress in the last three to four decades in analytical techniques, several ICP-based techniques like ICP-OES and ICP-MS and other nuclear analytical techniques have enabled determination of trace elements at the ppb level. However, these methods require expensive instrumentation and cannot be made available everywhere. The quality of analytical data is dependent on valid reference standards. The book contains detailed sample preparation in varying matrices and an important chapter on statistical treatment of analytical data for the purpose of quality control and quality assurance. Pulling together, the book, containing the work carried out by the author's group in India, will be useful to analysts involved in geochemical explorations.

Painting a complete picture of the history of the Everglades, The Geology of the Everglades and Adjacent Areas brings together theperspectives of various geoscientists to provides an overview of the geology, paleontology, and paleoceanography of the Everglades region. It emphasizes the upper 300 m of the geologic framework of the area and gives insight into the local stratigraphy, geomorphology, lithology, and historical geology. Building upon the geologic nomenclature and stratigraphic sequences set down by the Florida Geological Survey, the book includes redefinitions of some previously poorly known formations, the chronological fine-tuning of other poorly known units, and the description of 7 new members. Designed to be a field guide as well as a reference, the book is illustrated with photographs of exposed geologic sections, stratotype localities, collection sites, and details of interesting fossil beds. It contains 124 full-page illustrations with 69 black and white figures, 43 black and white plates of index fossils, and 12 full color plates of simulated space shuttle images of Florida's ancient seas and coastlines. This text is accompanied by downloadable resources that feature animated maps along with a Power Point presentation of simulated space shuttle imagery of Eocene-to-Holocene Florida. The book is arranged by geologic time, ranging from the late Eocene, Oligocene, Miocene, Pliocene, and Pleistocene to the Holocene. The authors place lithostratigraphic descriptions of the geologic formations and members into this chronological framework, along with the paleogeography of the seas and lakes within which they were deposited. They also emphasize biostratigraphy with over 1000 index fossils listed and over 400 illustrated. The book brings together information previously spread through innumerable publications, saving you the time and effort it would take to assemble and cross-reference multiple sources.