ALBERT

Note: Contents 1 Dynamical Processes in the Arctic Atmosphere / Marius O. Jonassen, Dmitry Chechin, Alexey Karpechko,Christof Lüpkes, Thomas Spengler, Annick Tepstra, Timo Vihma,and Xiangdong Zhang 2 Thermodynamics of the Arctic Atmosphere / Claudio Tomasi, Boyan H. Petkov, Oxana Drofa, and Mauro Mazzola 3 Trace Gases in the Arctic Atmosphere / Kimberly Strong, William R. Simpson, Kristof Bognar,Rodica Lindenmaier, and Sébastien Roche 4 Arctic Aerosols / Roberto Udisti, Rita Traversi, Silvia Becagli, Claudio Tomasi,Mauro Mazzola, Angelo Lupi, and Patricia K. Quinn 5 A Climatological Overview of Arctic Clouds / Abhay Devasthale, Joseph Sedlar, Michael Tjernström,and Alexander Kokhanovsky 6 Arctic Ice Fog: Its Microphysics and Prediction / Ismail Gultepe, Andrew J. Heymsfield, and Martin Gallagher 7 Polar Stratospheric Clouds in the Arctic / Francesco Cairo and Tiziana Colavitto 8 Noctilucent Clouds: General Properties and Remote Sensing / Christian von Savigny, Gerd Baumgarten, and Franz-Josef Lübkenix 9 Remote Sensing of Arctic Atmospheric Aerosols / Alexander Kokhanovsky, Claudio Tomasi, Alexander Smirnov,Andreas Herber, Roland Neuber, André Ehrlich, Angelo Lupi, Boyan H. Petkov, Mauro Mazzola, Christoph Ritter, Carlos Toledano,Thomas Carlund, Vito Vitale, Brent Holben, Tymon Zielinski,Simon Bélanger, Pierre Larouche, Stefan Kinne, Vladimir Radionov,Manfred Wendisch, Jason L. Tackett, and David M. Winker 10 Radiation in the Arctic Atmosphere and Atmosphere –Cryosphere Feedbacks / Claudio Tomasi, Boyan H. Petkov, Angelo Lupi, Mauro Mazzola,Christian Lanconelli, and Ismail Gultepe 11 Climate Change in the Arctic / Torben Koenigk, Jeff Key, and Timo Vihma Index

Note: CONTENTS Preface Photo Credits Computer Codes 1 Introduction 1-1 Why Microwaves for Remote Sensing? 1-2 A Brief Overview of Microwave Sensors 1-3 A Short History of Microwave Remote Sensing 1-3.1 Radar 1-3.2 Radiometers 1-4 The Electromagnetic Spectrum 1-5 Basic Operation and Applications of Radar 1-5.1 Operation of Remote-Sensing Radars 1-5.2 Applications of Remote-Sensing Radars 1-6 Basic Operation and Applications of Radiometers 1-6.1 Radiometer Operation 1-6.2 Applications of Microwave Radiometry 1-7 Image Examples 2 Electromagnetic Wave Propagation 2-1 EM Plane Waves 2-1.1 Constitutive Parameters 2-1.2 Maxwell's Equations 2-1.3 Complex Permittivity 2-1.4 Wave Equations 2-2 Plane-Wave Propagation in Lossless Media 2-2.1 Uniform Plane Waves 2-2.2 General Relation between E and H 2-3 Wave Polarization in a Lossless Medium 2-3.1 Linear Polarization 2-3.2 Circular Polarization 2-3.3 Elliptical Polarization 2-4 Plane Wave Propagation in Lossy Media 2-4.1 Low Loss Dielectric 2-4.2 Good Conductor 2-5 Electromagnetic Power Density 2-5.1 Plane Wave in a Lossless Medium 2-5.2 Plane Wave in a Lossy Medium 2-5.3 Decibel Scale tor Power Ratios 2-6 Wave Reflection and Transmission at Normal Incidence 2-6.1 Boundary between Lossless Media 2-6.2 Boundary between Lossy Media 2-7 Wave Reflection and Transmission at Oblique Incidence 2-7.1 Horizontal Polarization—Lossless Media 2-7.2 Vertical Polarization 2-8 Reflectivity and Transmissivity 2-9 Oblique Incidence onto a Lossy Medium 2- 10 Oblique Incidence onto a Two-Layer Composite 2-10.1 Input Parameters 2-10.2 Propagation Matrix Method 2-10.3 Multiple Reflection Method 3 Remote-Sensing Antennas 3-1 The Hertzian Dipole 3-2 Antenna Radiation Characteristics 3-2.1 Antenna Pattern 3-2.2 Beam Dimensions 3-2.3 Antenna Directivity 3-2.4 Antenna Gain 3-2.5 Radiation Efficiency 3-2.6 Effective Area of a Receiving Antenna 3-3 Friis Transmission Formula 3-4 Radiation by Large-Aperture Antennas 3-5 Rectangular Aperture with Uniform Field Distribution 3-5.1 Antenna Pattern in x-y Plane 3-5.2 Beamwidth 3-5.3 Directivity and Effective Area 3-6 Circular Aperture with Uniform Field Illumination 3-7 Nonuniform-Amplitude Illumination 3-8 Beam Efficiency 3-9 Antenna Arrays 3-10 N-Element Array with Uniform Phase Distribution 3-10.1 Uniform Amplitude Distribution 3-10.2 Grating Lobes 3-10.3 Binomial Distribution 3-11 Electronic Scanning of Arrays 3-12 Antenna Types 3-12.1 Horn Antennas 3-12.2 Slot Antennas 3-12.3 Microstrip Antennas 3-13 Active Antennas 3-13.1 Advantages of Active Antennas 3-13.2 Digital Beamforming with Active Antennas 4 Microwave Dielectric Properties of Natural Earth Materials 4-1 Pure-Water Single-Debye Dielectric Model (f 〈 50 GHz) 4-2 Saline-Water Double-Debye Dielectric Model (f〈 1000 GHz) 4-3 Dielectric Constant of Pure Ice 4-4 Dielectric Mixing Models for Heterogeneous Materials 4-4.1 Randomly Oriented Ellipsoidal Inclusions 4-4.2 Polder-van Santen/de Loor Formulas 4-4.3 Tinga-Voss-Blossey (TVB) Formulas 4-4.4 Other Dielectric Mixing Formulas 4-5 Sea Ice 4-5.1 Dielectric Constant of Brine 4-5.2 Brine Volume Fraction 4-5.3 Dielectric Properties 4-6 Dielectric Constant of Snow 4-6.1 Dry Snow 4-6.2 Wet Snow 4-7 Dielectric Constant of Dry Rocks 4-7.1 Powdered Rocks 4-7.2 Solid Rocks 4-8 Dielectric Constant of Soils 4-8.1 Dry Soil 4-8.2 Wet Soil 4-8.3 εsoil in 0.3-1.5 GHz Band 4-9 Dielectric Constant of Vegetation 4-9.1 Dielectric Constant of Canopy Constituents 4-9.2 Dielectric Model 5 Radar Scattering 5-1 Wave Polarization in a Spherical Coordinate System 5-2 Scattering Coordinate Systems 5-2.1 Forward Scattering Alignment (FSA) Convention 5-2.2 Backscatter Alignment (BSA) Convention 5-3 Scattering Matrix 5-3.1 FSA Convention 5-3.2 BSA Convention 5-3.3 Stokes Parameters and Mueller Matrix 5-4 Radar Equation 5-5 Scattering from Distributed Targets 5-5.1 Narrow-Beam Scatterometer 5-5.2 Imaging Radar 5-5.3 Specific Intensities for Distributed Target 5-6 RCS Statistics 5-7 Rayleigh Fading Model 5-7.1 Underlying Assumptions 5-7.2 Linear Detection 5-7.3 Square-Law Detection 5-7.4 Interpretation 5-8 Multiple Independent Samples 5-8.1 N-Look Amplitude Image 5-8.2 N-Look Intensity Image 5-8.3 N-Look Square-Root Intensity Image 5-8.4 Spatial Resolution vs. Radiometric Resolution 5-8.5 Applicability of the Rayleigh Fading Model 5-9 Image Texture and Despeckle Filtering . 5-9.1 Image Texture 5-9.2 Despeckling Filters 5-10 Coherent and Noncoherent Scattering 5-10.1 Surface Roughness 5-10.2 Bistatic Scattering 5-10.3 Specular Reflectivity 5-10.4 Bistatic-Scattering Coefficient 5-10.5 Backscattering Response of a Smooth Surface 5-11 Polarization Synthesis 5-11.1 RCS Polarization Response 5-11.2 Distributed Targets 5-11.3 Mueller Matrix Approach 5-12 Polarimetric Scattering Statistics 5-13 Polarimetric Analysis Tools 5-13.1 Scattering Covariance Matrix 5-13.2 Eigenvector Decomposition 5-13.3 Useful Polarimetric Parameters 5-13.4 Image Examples 5-13.5 Freeman-Durden Decomposition 6 Microwave Radiometry and Radiative Transfer 6-1 Radiometric Quantities 6-2 Thermal Radiation 6-2.1 Quantum Theory of Radiation 6-2.2 Planck's Blackbody Radiation Law 6-2.3 The Rayleigh-Jeans Law 6-3 Power-Temperature Correspondence 6-4 Radiation by Natural Materials 6-4.1 Brightness Temperature 6-4.2 Brightness Temperature Distribution 6-4.3 Antenna Temperature 6-5 Antenna Efficiency Considerations 6-5.1 Beam Efficiency 6-5.2 Radiation Efficiency 6-5.3 Radiometer Measurement Ambiguity 6-6 Theory of Radiative Transfer 6-6.1 Equation of Radiative Transfer 6-6.2 Brightness-Temperature Equation 6-6.3 Brightness Temperature of a Stratified Medium 6-6.4 Brightness Temperature of a Scatter-Free Medium 6-6.5 Upwelling and Downwelling Atmospheric Brightness Temperatures 6-7 Terrain Brightness Temperature 6-7.1 Brightness Transmission Across a Specular Boundary 6-7.2 Emission by a Specular Surface 6-7.3 Emissivity of a Rough Surface 6-7.4 Extreme Surface Conditions 6-7.5 Emissivity of a Two-Layer Composite 6-8 Downward-Looking Satellite Radiometer 6-9 Polarimetric Radiometry 6-10 Stokes Parameters and Periodic Structures 7 Microwave Radiometric Systems 7-1 Equivalent Noise Temperature 7-2 Characterization of Noise 7-2.1 Noise Figure 7-2.2 Equivalent Input Noise Temperature 7-2.3 Noise Temperature of a Cascaded System 7-2.4 Noise Temperature of a Lossy Two-Port Device 7-3 Receiver and System Noise Temperatures 7-3.1 Receiver Alone 7-3.2 Total System Including Antenna 7-4 Radiometer Operation 7-4.1 Measurement Accuracy 7-4.2 Total-Power Radiometer 7-4.3 Radiometric Resolution 7-5 Effects of Receiver Gain Variations 7-6 Dicke Radiometer 7-7 Balancing Techniques 7-7.1 Reference-Channel Control Method 7-7.2 Antenna-Channel Noise-Injection Method 7-7.3 Pulsed Noise-Injection Method 7-7.4 Gain-Modulation Method 7-8 Automatic-Gain-Control (AGC) Techniques 7-9 Noise-Adding Radiometer 7-10 Summary of Radiometer Properties 7-11 Radiometer Calibration Techniques 7-11.1 Receiver Calibration 7-11.2 Calibration Sources 7-11.3 Effects of Impedance Mismatches 7-11.4 Antenna Calibration 7-11.5 Cryoload Technique 7-11.6 Bucket Technique 7-12 Imaging Considerations 7-12.1 Scanning Configurations 7-12.2 Radiometer Uncertainty Principle 7-13 Interferometric Aperture Synthesis 7-13.1 Image Reconstruction 7-13.2 MIR Radiometric Sensitivity 7-14 Polarimetric Radiometer 7-14.1 Coherent Detection 7-14.2 Incoherent Detection 7-15 Calibration of Polarimetric Radiometers 7-15.1 Forward Model for a Fully Polarimetric Radiometer 7-15.2 Forward Model for the Polarimetric Calibration Source 7-15.3 Calibration by Inversion of the Forward Models 7-16 Digital Radiometers 8 Microwave Interaction with Atmospheric Constituents 8-1 Standard Atmosphere 8-1.1 Atmospheric Composition 8-1.2 Temperature Profile 8-1.3 Density Profile 8-1.4 Pressure Profi

Note: Contents 1 Introduction 1.1 Why Numerical Ecology? 1.2 Why R? 1.3 Readership and Structure of the Book 1.4 How to Use This Book 1.5 The Data Sets 1.5.1 The Doubs Fish Data 1.5.2 The Oribatid Mite Data 1.6 A Quick Reminder About Help Sources 1.7 Now It Is Time 2 Exploratory Data Analysis 2.1 Objectives 2.2 Data Exploration 2.2.1 Data Extraction 2.2.2 Species Data: First Contact 2.2.3 Species Data: A Closer Look 2.2.4 Ecological Data Transformation 2.2.5 Environmental Data 2.3 Conclusion 3 Association Measures and Matrices 3.1 Objectives 3.2 The Main Categories of Association Measures (Short Overview) 3.2.1 Q Mode and R Mode 3.2.2 Symmetrical or Asymmetrical Coefficients in Q Mode: The Double-Zero Problem 3.2.3 Association Measures for Qualitative or Quantitative Data 3.2.4 To Summarize 3.3 Q Mode: Computing Dissimilarity Matrices Among Objects 3.3.1 Q Mode: Quantitative Species Data 3.3.2 Q Mode: Binary (Presence-Absence) Species Data 3.3.3 Q Mode: Quantitative Data (Excluding Species Abundances) 3.3.4 Q Mode: Binary Data (Excluding Species Presence-Absence Data) 3.3.5 Q Mode: Mixed Types Including Categorical (Qualitative Multiclass) Variables 3.4 R Mode: Computing Dependence Matrices Among Variables 3.4.1 R Mode: Species Abundance Data 3.4.2 R Mode: Species Presence-Absence Data 3.4.3 R Mode: Quantitative and Ordinal Data (Other than Species Abundances) 3.4.4 R Mode: Binary Data (Other than Species Abundance Data) 3.5 Pre-transformations for Species Data 3.6 Conclusion 4 Cluster Analysis 4.1 Objectives 4.2 Clustering Overview 4.3 Hierarchical Clustering Based on Links 4.3.1 Single Linkage Agglomerative Clustering 4.3.2 Complete Linkage Agglomerative Clustering 4.4 Average Agglomerative Clustering 4.5 Ward's Minimum Variance Clustering 4.6 Flexible Clustering 4.7 Interpreting and Comparing Hierarchical Clustering Results 4.7.1 Introduction 4.7.2 Cophenetic Correlation 4.7.3 Looking for Inteipretable Clusters 4.8 Non-hierarchical Clustering 4.8.1 k-means Partitioning 4.8.2 Partitioning Around Medoids (PAM) 4.9 Comparison with Environmental Data 4.9.1 Comparing a Typology with External Data (ANOVA Approach) 4.9.2 Comparing Two Typologies (Contingency Table Approach) 4.10 Species Assemblages 4.10.1 Simple Statistics on Group Contents 4.10.2 Kendall's W Coefficient of Concordance 4.10.3 Species Assemblages in Presence-Absence Data 4.10.4 Species Co-occurrence Network 4.11 Indicator Species 4.11.1 Introduction 4.11.2 IndVal: Species Indicator Values 4.11.3 Correlation-Type Indices 4.12 Multivariate Regression Trees (MRT): Constrained Clustering 4.12.1 Introduction 4.12.2 Computation (Principle) 4.12.3 Application Using Packages mvpart and MVPARTwrap 4.12.4 Combining MRT and IndVal 4.13 MRT as a Monothetic Clustering Method 4.14 Sequential Clustering 4.15 A Very Different Approach: Fuzzy Clustering 4.15.1 Fuzzy c-means Using Package cluster's Function fanny () 4.15.2 Noise Clustering Using the vegclust () Function 4.16 Conclusion 5 Unconstrained Ordination 5.1 Objectives 5.2 Ordination Overview 5.2.1 Multidimensional Space 5.2.2 Ordination in Reduced Space 5.3 Principal Component Analysis (PCA) 5.3.1 Overview 5.3.2 PCA of the Environmental Variables of the Doubs River Data Using rda () 5.3.3 PCA on Transformed Species Data 5.3.4 Domain of Application of PCA 5.3.5 PCA Using Function PCA. newr () 5.3.6 Imputation of Missing Values in PCA 5.4 Correspondence Analysis (CA) 5.4.1 Introduction 5.4.2 CA Using Function cca () of Package vegan 5.4.3 CA Using Function CA. newr () 5.4.4 Arch Effect and Detrended Correspondence Analysis (DCA) 5.4.5 Multiple Correspondence Analysis (MCA) 5.5 Principal Coordinate Analysis (PCoA) 5.5.1 Introduction 5.5.2 Application of PCoA to the Doubs Data Set Using cmdscaleO and vegan 5.5.3 Application of PCoA to the Doubs Data Set Using pcoa () 5.6 Nonmetric Multidimensional Scaling (NMDS) 5.6.1 Introduction 5.6.2 Application to the Doubs Fish Data 5.6.3 PCoA or NMDS? 5.7 Hand-Written PCA Ordination Function 6 Canonical Ordination 6.1 Objectives 6.2 Canonical Ordination Overview 6.3 Redundancy Analysis (RDA) 6.3.1 Introduction 6.3.2 RDA of the Doubs River Data 6.3.3 Distance-Based Redundancy Analysis (db-RDA) 6.3.4 A Hand-Written RDA Function 6.4 Canonical Correspondence Analysis (CCA) 6.4.1 Introduction 6.4.2 CCA of the Doubs River Data 6.5 Linear Discriminant Analysis (LDA) 6.5.1 Introduction 6.5.2 Discriminant Analysis Using Ida () 6.6 Other Asymmetric Analyses 6.6.1 Principal Response Curves (PRC) 6.6.2 Co-correspondence Analysis (CoCA) 6.7 Symmetric Analysis of Two (or More) Data Sets 6.8 Canonical Correlation Analysis (CCorA) 6.8.1 Introduction 6.8.2 Canonical Correlation Analysis Using CCorA () 6.9 Co-inertia Analysis (CoIA) 6.9.1 Introduction 6.9.2 Co-inertia Analysis Using Function coinertia () of ade4 6.10 Multiple Factor Analysis (MFA) 6.10.1 Introduction 6.10.2 Multiple Factor Analysis Using FactoMineR 6.11 Relating Species Traits and Environment 6.11.1 The Fourth-Corner Method 6.11.2 RLQ Analysis 6.11.3 Application in R 6.12 Conclusion 7 Spatial Analysis of Ecological Data 7.1 Objectives 7.2 Spatial Structures and Spatial Analysis: A Short Overview 7.2.1 Introduction 7.2.2 Induced Spatial Dependence and Spatial Autocorrelation 7.2.3 Spatial Scale 7.2.4 Spatial Heterogeneity 7.2.5 Spatial Correlation or Autocorrelation Functions and Spatial Correlograms 7.2.6 Testing for the Presence of Spatial Correlation: Conditions 7.2.7 Modelling Spatial Structures 7.3 Multivariate Trend-Surface Analysis 7.3.1 Introduction 7.3.2 Trend-Surface Analysis in Practice 7.4 Eigenvector-Based Spatial Variables and Spatial Modelling 7.4.1 Introduction 7.4.2 Distance-Based Moran's Eigenvector Maps (dbMEM) and Principal Coordinates of Neighbour Matrices (PCNM) 7.4.3 MEM in a Wider Context: Weights Other than Geographic Distances 7.4.4 MEM with Positive or Negative Spatial Correlation: Which Ones should Be Used? 7.4.5 Asymmetric Eigenvector Maps (AEM): When Directionality Matters 7.5 Another Way to Look at Spatial Structures: Multiscale Ordination (MSO) 7.5.1 Principle 7.5.2 Application to the Mite Data - Exploratory Approach 7.5.3 Application to the Detrended Mite and Environmental Data 7.6 Space-Time Interaction Test in Multivariate ANOVA, Without Replicates 7.6.1 Introduction 7.6.2 Testing the Space-Time Interaction with the sti Functions 7.7 Conclusion 8 Community Diversity 8.1 Objectives 8.2 The Multiple Facets of Diversity 8.2.1 Introduction 8.2.2 Species Diversity Measured by a Single Number 8.2.3 Taxonomic Diversity Indices in Practice 8.3 When Space Matters: Alpha, Beta and Gamma Diversities 8.4 Beta Diversity 8.4.1 Beta Diversity Measured by a Single Number 8.4.2 Beta Diversity as the Variance of the Community Composition Table: SCBD and LCBD Indices 8.4.3 Partitioning Beta Diversity into Replacement, Richness Difference and Nestedness Components 8.5 Functional Diversity, Functional Composition and Phylogenetic Diversity of Communities 8.5.1 Alpha Functional Diversity 8.5.2 Beta Taxonomic, Phylogenetic and Functional Diversities 8.6 Conclusion Bibliography Index

Note: CONTENTS PREFACE 1 Introduction: Matter, Energy, and Measurement 1.1 The Study of Chemistry The Atomic and Molecular Perspective of Chemistry Why Study Chemistry? 1.2 Classifications of Matter States of Matter Pure Substances Elements Compounds Mixtures 1.3 Properties of Matter Physical and Chemical Changes Separation of Mixtures 1.4 The Nature of Energy Kinetic Energy and Potential Energy 1.5 Units of Measurement SI Units Length and Mass Temperature Derived SI Units Volume Density Units of Energy 1.6 Uncertainty in Measurement Precision and Accuracy Significant Figures Significant Figures in Calculations 1.7 Dimensional Analysis Conversion Factors Using Two or More Conversion Factors Conversions Involving Volume Chapter Summary and Key Terms Learning Outcomes Key Equations Exercises Additional Exercises Chemistry Put to Work Chemistry and the Chemical Industry A Closer Look: The Scientific Method Chemistry Put to Work: Chemistry in the News Strategies for Success: Estimating Answers Strategies for Success: The Importance of Practice Strategies for Success: The Features of This Book 2 Atoms, Molecules, and Ions 2.1 The Atomic Theory of Matter 2.2 The Discovery of Atomic Structure Cathode Rays and Electrons Radioactivity The Nuclear Model of the Atom 2.3 The Modern View of Atomic Structure Atomic Numbers, Mass Numbers, and Isotopes 2.4 Atomic Weights The Atomic Mass Scale Atomic Weight 2.5 The Periodic Table 2.6 Molecules and Molecular Compounds Molecules and Chemical Formulas Molecular and Empirical Formulas Picturing Molecules 2.7 Ions and Ionic Compounds Predicting Ionic Charges Ionic Compounds 2.8 Naming Inorganic Compounds Names and Formulas of Ionic Compounds Names and Formulas of Acids Names and Formulas of Binary Molecular Compounds 2.9 Some Simple Organic Compounds Alkanes Some Derivatives of Alkanes Chapter Summary and Key Terms Learning Outcomes Key Equations Exercises Additional Exercises A Closer Look Basic Forces A Closer Look The Mass Spectrometer Chemistry and Life Elements Required by Living Organisms Strategies for Success: How to Take a Test 3 Chemical Reactions and Stoichiometry 3.1 The Conservation of Mass, Chemical Equations, and Stoichiometry How to Balance Chemical Equations A Step-by-Step Example of Balancing a Chemical Equation 3.2 Simple Patterns of Chemical Reactivity: Combination, Decomposition, and Combustion Combination and Decomposition Reactions Combustion Reactions 3.3 Formula Weights and Elemental Compositions of Substances Formula and Molecular Weights Elemental Compositions of Substances 3.4 Avogadro's Number and the Mole; Molar Mass The Mole and Avogadro's Number Molar Mass Converting Between Masses, Moles, and Atoms/Molecules/Ions 3.5 Formula Weights and Elemental Compositions of Substances Molecular Formulas from Empirical Formulas Combustion Analysis 3.6 Reaction Stoichiometry 3.7 Limiting Reactants Theoretical and Percent Yields Chapter Summary and Key Terms Learning Outcomes Key Equations Exercises Additional Exercises Integrative Exercises Design an Experiment Strategies for Success: Problem Solving Chemistry and Life: Glucose Monitoring Strategies for Success: Design an Experiment 4 Reactions in Aqueous Solution 4.1 General Properties of Aqueous Solutions Electrolytes and Nonelectrolytes How Compounds Dissolve in Water Strong and Weak Electrolytes 4.2 Precipitation Reactions Solubility Guidelines for Ionic Compounds Exchange (Metathesis) Reactions Ionic Equations and Spectator Ions 4.3 Acids, Bases, and Neutralization Reactions Acids Bases Strong and Weak Acids and Bases Identifying Strong and Weak Electrolytes Neutralization Reactions and Salts Neutralization Reactions with Gas Formation 4.4 Oxidation-Reduction Reactions Oxidation and Reduction Oxidation Numbers Oxidation of Metals by Acids and Salts The Activity Series 4.5 Concentrations of Solutions Molarity Expressing the Concentration of an Electrolyte Interconverting Molarity, Moles, and Volume Dilution 4.6 Solution Stoichiometry and Chemical Analysis Titrations Chapter Summary and Key Terms Learning Outcomes Key Equations Exercises Additional Exercises Integrative Exercises Design an Experiment Chemistry Put to Work Antacids Strategies for Success Analyzing Chemical Reactions 5 Thermochemistry 5.1 The Nature of Chemical Energy 5.2 The First Law of Thermodynamics System and Surroundings Internal Energy Relating Δf to Heat and Work Endothermic and Exothermic Processes State Functions 5.3 Enthalpy Pressure-Volume Work Enthalpy Change 5.4 Enthalpies of Reaction 5.5 Calorimetry Heat Capacity and Specific Heat Constant-Pressure Calorimetry Bomb Calorimetry (Constant-Volume Calorimetry) 5.6 Hess's Law 5.7 Enthalpies of Formation Using Enthalpies of Formation to Calculate Enthalpies of Reaction 5.8 Bond Enthalpies Bond Enthalpies and the Enthalpies of Reactions 5.9 Foods and Fuels Foods Fuels Other Energy Sources Chapter Summary and Key Terms Learning Outcomes Key Equations Exercises Additional Exercises Integrative Exercises Design an Experiment A Closer Look: Energy, Enthalpy, and P-V Work A Closer Look: Using Enthalpy as a Guide Chemistry and Life: The Regulation of Body Temperature Chemistry Put to Work: The Scientific and Political Challenges of Biofuels 6 Electronic Structure of Atoms 6.1 The Wave Nature of Light 6.2 Quantized Energy and Photons Hot Objects and the Quantization of Energy The Photoelectric Effect and Photons 6.3 Line Spectra and the Bohr Model Line Spectra Bohr's Model The Energy States of the Hydrogen Atom Limitations of the Bohr Model 6.4 The Wave Behavior of Matter The Uncertainty Principle 6.5 Quantum Mechanics and Atomic Orbitals Orbitals and Quantum Numbers 6.6 Representations of Orbitals The s Orbitals The p Orbitals The d and f Orbitals 6.7 Many-Electron Atoms Orbitals and Their Energies Electron Spin and the Pauli Exclusion Principle 6.8 Electron Configurations Hund's Rule Condensed Electron Configurations Transition Metals The Lanthanides and Actinides 6.9 Electron Configurations and the Periodic Table Anomalous Electron Configurations Chapter Summary and Key Terms Learning Outcomes Key Equations Exercises Additional Exercises Integrative Exercises Design an Experiment A Closer Look: Measurement and the Uncertainty Principle A Closer Look: Thought Experiments and Schrödinger's Cat A Closer Look: Probability Density and Radial Probability Functions Chemistry and Life Nuclear Spin and Magnetic Resonance Imaging 7 Periodic Properties of the Elements 7.1 Development of the Periodic Table 7.2 Effective Nuclear Charge 7.3 Sizes of Atoms and Ions Periodic Trends in Atomic Radii Periodic Trends in Ionic Radii 7.4 Ionization Energy Variations in Successive Ionization Energies Periodic Trends in First Ionization Energies Electron Configurations of Ions 7.5 Electron Affinity Periodic Trends in Electron Affinity 7.6 Metals, Nonmetals, and Metalloids Metals Nonmetals Metalloids 7.7 Trends for Group 1 and Group 2 Metals Group 1: The Alkali Metals Group 2: The Alkaline Earth Metals 7.8 Trends for Selected Nonmetals Hydrogen Group 16: The Oxygen Group Group 17: The Halogens Group 18: The Noble Gases Chapter Summary and Key Terms Learning Outcomes Key Equations Exercises Additional Exercises Integrative Exercises Design and Experiment A Closer Look: Effective Nuclear Charge Chemistry Put to Work: Ionic Size and Lithium-Ion Batteries Chemistry and Life: The Improbable Development of Lithium Drugs 8 Basic Concepts of Chemical Bonding 8.1 Lewis Symbols and the Octet Rule Lewis Symbols The Octet Rule 8.2 Ionic Bonding Energetics of Ionic Bond Formation Electron Configurations of Ions of the s- and p-Block Elements Transition Metal Ions 8.3 Covalent Bonding Lewis Structures Multiple Bonds 8.4 Bond Polarity and Electronegativity Electronegativity Electronegativity and Bond Polarity Dipole Moments Comparing Ionic and Covalent Bonding 8.5 Drawing Lewis Structures Formal Charge and Alternative Lewis Structures 8.6 Resonance St

Note: Contents Chapter 1 Introdution Chapter 2 Origins Building a Planet, Shaping the Oceans Water, Salt, and Circulation Life, Oxygen, and Carbon Chapter 3 Controls On change Orbital and Solar Changes Greenhouse Gases Plate Tectonics Impacts Chapter 4 Snowball earth and the explosions of life Into the Freezer Out of the Freezer, Into a Greenhouse A Tale of Two Explosions Reverberations Chapter 5 Oceans On acid About Acidification Acidification in Action Chapter 6 The age of reptiles Choking Oceans Salty Giants Chapter 7 Winter is coming Reconstructing Sea-Level Change The Great Northern Ice Ages Ocean Controls on CO2 A Seesaw in the Ocean Chapter 8 Future Oceans and climate Our Carbon Emissions Consequences Epilogue Acknowledgments Bibliography Index

Note: Contents 1 Introduction 1.1 Introduction 1.2 Brief History of Natural Extreme Events 1.3 Motivation and Goals 1.4 Chapter Outline 2 Basic Notions of Probability and Statistics for Natural Extreme Events Frequency Analyses 2.1 Introduction 2.2 Chapter Objectives 2.3 Basic Notions of Theory of Probability 2.3.1 Definition of Probability 2.3.2 Random Variables 2.3.3 Probability Distribution Functions 2.3.4 Probability Density Functions 2.3.5 Non-exceedance and Exceedance Probabilities 2.3.6 Return Period 2.4 Basic Notions of Statistics 2.4.1 Moments of a Distribution 2.4.2 Measures of Central Tendency 2.4.3 Measures of Dispersion 2.4.4 Measures of Symmetry 2.4.5 Measures of Peakedness 2.4.6 Descriptive Statistics 2.5 Methods for the Estimation of Parameters of Probability Distribution Functions 2.5.1 The Method of Moments (MOM) 2.5.2 The Method of Maximum Likelihood (ML) 2.5.3 The Method of Probability Weighted Moments (PWM) 2.6 Quantile Estimation and Frequency Factor 2.7 Plotting Position Formulas 2.8 Confidence Limits 2.9 Standard Errors of Estimates 2.9.1 MOM Method 2.9.2 ML Method 2.9.3 PWM Method 2.10 Plotting the Extreme Value Data and Models 2.10.1 Normal Probability Paper 2.10.2 Gumbel’s Probability Paper 2.11 Goodness of Fit Tests 2.11.1 The Standard Error of Fit 2.11.2 The Mean Absolute Relative Deviation 2.11.3 The Akaike’s Information Criterion 2.12 Outliers Tests 2.12.1 The Grubbs and Beck Test 2.13 Test for Independence and Stationarity 2.14 Test for Homogeneity and Stationarity 3 Normal Distribution 3.1 Introduction 3.2 Chapter Objectives 3.3 Probability Distribution and Density Functions 3.4 Estimation of Parameters 3.4.1 MOM Method 3.4.2 ML Method 3.5 Estimation of Quantiles for the NOR Distribution 3.5.1 Examples of Estimation of MOM and ML Quantiles for the NOR Distribution 3.6 Goodness of Fit Test 3.6.1 Examples of Application of the SEF and MARD to the MOM-ML Estimators of the Parameters of the NOR Distribution 3.7 Estimation of the Confidence Limits for the NOR Distribution 3.8 Estimation of the Standard Errors for the NOR Distribution 3.8.1 MOM Method 3.8.2 ML Method 3.9 Examples of Application for the NOR Distribution Using Excel® Spreadsheets 3.9.1 Flood Frequency Analysis 3.9.2 Rainfall Frequency Analysis 3.9.3 Wave Height Frequency Analysis 3.9.4 Maximum Annual Wind Speed Frequency Analysis 4 Two-Parameters Log-Normal Distribution 4.1 Introduction 4.2 Chapter Objectives 4.3 Probability Distribution and Density Functions 4.4 Estimation of the Parameters 4.4.1 MOM Method 4.4.2 ML Method 4.5 Estimation of Quantiles for the LN2 Distribution 4.5.1 Examples of Estimation of MOM and ML Quantiles for the LN2 Distribution 4.6 Goodness of Fit Test 4.6.1 Examples of Application of the SEF and MARD to the MOM and ML Estimators of the Parameters of the LN2 Distribution 4.7 Estimation of the Confidence Limits for the LN2 Distribution 4.8 Estimation of the Standard Errors for the LN2 Distribution 4.8.1 MOM Method 4.8.2 ML Method 4.9 Examples of Application for the LN2 Distribution Using Excel® Spreadsheets 4.9.1 Flood Frequency Analysis 4.9.2 Rainfall Frequency Analysis 4.9.3 Maximum Significant Wave Height Frequency Analysis 4.9.4 Annual Maximum Wind Speed Frequency Analysis 5 Three-Parameters Log-Normal Distribution 5.1 Introduction 5.2 Chapter Objectives 5.3 Probability Distribution and Density Functions 5.4 Estimation of the Parameters 5.4.1 MOM Method 5.4.2 ML Method 5.5 Estimation of Quantiles for the LN3 Distribution 5.5.1 Examples of Estimation of MOM Quantiles for the LN3 Distribution 5.6 Goodness of Fit Test 5.6.1 Examples of Application of the SEF and MARD to the MOM and ML Estimators of the Parameters of the LN3 Distribution 5.7 Estimation of the Confidence Limits for the LN3 Distribution 5.8 Estimation of the Standard Errors for the LN3 Distribution 5.8.1 MOM Method 5.8.2 ML Method 5.9 Examples of Application for the LN3 Distribution Using Excel® Spreadsheets 5.9.1 Flood Frequency Analysis 5.9.2 Rainfall Frequency Analysis 5.9.3 Maximum Significant Wave Height Frequency Analysis 5.9.4 Annual Maximum Wind Speed Frequency Analysis 6 Gamma Distribution 6.1 Introduction 6.2 Chapter Objectives 6.3 Probability Distribution and Density Functions 6.4 Estimation of the Parameters 6.4.1 MOM Method 6.4.2 ML Method 6.5 Estimation of Quantiles for the GAM Distribution 6.5.1 Examples of Estimation of MOM and ML Quantiles for the GAM Distribution 6.6 Goodness of Fit Test 6.6.1 Examples of Application of the SEF and MARD to the MOM and ML Estimators of the Parameters of the GAM Distribution 6.7 Estimation of Confidence Limits for the GAM Distribution 6.8 Estimation of Standard Errors for the GAM Distribution 6.8.1 MOM Method 6.8.2 ML Method 6.9 Examples of Application for the GAM Distribution Using Excel ® Spreadsheets 6.9.1 Flood Frequency Analysis 6.9.2 Rainfall Frequency Analysis 6.9.3 Maximum Significant Wave Height Frequency Analysis 6.9.4 Annual Maximum Wind Speed Frequency Analysis 7 Pearson Type III Distribution 7.1 Introduction 7.2 Chapter Objectives 7.3 Probability Distribution and Density Functions 7.4 Estimation of the Parameters 7.4.1 MOM Method 7.4.2 ML Method 7.5 Estimation of Quantiles for the PIII Distribution 7.5.1 Examples of Estimation of MOM and ML Quantiles for the PIII Distribution 7.6 Goodness of Fit Test 7.6.1 Examples of Application of the SEF and MARD to the MOM and ML Estimators of the Parameters of the PIII Distribution 7.7 Estimation of Confidence Limits for the PIII Distribution 7.8 Estimation of Standard Errors for the PIII Distribution 7.8.1 MOM Method 7.8.2 ML Method 7.9 Examples of Application for the PIII Distribution Using Excel® Spreadsheets 7.9.1 Flood Frequency Analysis 7.9.2 Rainfall Frequency Analysis 7.9.3 Maximum Significant Wave Height Frequency Analysis 7.9.4 Annual Maximum Wind Speed Frequency Analysis 8 Log-Pearson Type III Distribution 8.1 Introduction 8.2 Chapter Objectives 8.3 Probability Distribution and Density Functions 8.4 Estimation of the Parameters 8.4.1 MOM Method 8.4.2 ML Method 8.5 Estimation of Quantiles for the LPIII Distribution 8.5.1 Estimation of MOM1, MOM2 and ML Quantiles for the LPIII Distribution 8.5.2 Estimation of WRC Quantiles for the LPIII Distribution 8.5.3 Examples of Estimation of MOM1, MOM2, WRC and ML Quantiles for the LPIII Distribution 8.6 Goodness of Fit Test 8.6.1 Examples of Application of the SEF and MARD to the MOM1, WRC and ML Estimators of the Parameters of the LPIII Distribution 8.7 Estimation of Confidence Limits for the LPIII Distribution 8.7.1 Estimation of Confidence Limits for the LPIII Distribution for MOM1, MOM2, and ML Methods 8.7.2 Estimation of Confidence Limits for the LPIII Distribution for WRC Method 8.8 Estimation of Standard Errors for the LPIII Distribution 8.8.1 MOM Method 8.8.2 ML Method 8.9 Examples of Application for the LPIII Distribution Using Excel® Spreadsheets 8.9.1 Flood Frequency Analysis 8.9.2 Rainfall Frequency Analysis 8.9.3 Maximum Significant Wave Height Frequency Analysis 8.9.4 Annual Maximum Wind Speed Frequency Analysis 9 Extreme Value Type I Distribution 9.1 Introduction 9.2 Chapter Objectives 9.3 Probability Distribution and Density Functions 9.4 Estimation of the Parameters 9.4.1 MOM Method 9.4.2 ML Method 9.4.3 PWM Method 9.5 Estimation of Quantiles for the EVI Distribution 9.5.1 Examples of Estimation of MOM, ML and PWM Quantiles for the EVI Distribution 9.6 Goodness of Fit Test 9.6.1 Examples of Application of the SEF and MARD to the MOM, ML and PWM Estimators of the Parameters of the EVI Distribution 9.7 Estimation of Confidence Limits for the EVI Distribution 9.8 Estimation of Standard Errors for the EVI Distribution 9.8.1 MOM Method 9.8.2 ML Method 9.8.3 PWM Method 9.9 Examples of Application for the EVI Distribution Using Excel® Spreadsheets 9.9.1 Flood Frequency Analysis 9.9.2 Rainfall Frequency Analysis 9.9.3 Maximum Significant Wave Height Frequency Analysis 9.9.4 Annual Maximum Wind Speed Frequency Analy

Note: Contents Chapter 1. Introduction on Coronavirus Disease (COVID-19) Pandemic: The Global Challenge / Nima Rezaei, Saboura Ashkevarian, Mahsa Keshavarz Fathi, Sara Hanaei, Zahra Kolahchi, Seyedeh-Sanam Ladi Seyedian, Elham Rayzan, Mojdeh Sarzaeim, Aida Vahed, Kawthar Mohamed, Sarah Momtazmanesh, Negar Moradian, Zahra Rahimi Pirkoohi, Noosha Sameeifar, Mahsa Yousefpour, Sepideh Sargoli, Saina Adiban, Aida Vahed, Niloufar Yazdanpanah, Heliya Ziaei, Amene Saghazadeh Chapter 2. Coronaviruses: What Should We Know About the Characteristics of Viruses? / Wei Ji Chapter 3. Ecology and Evolution of Betacoronaviruses / Eduardo Rodríguez-Román, Adrian J. Gibbs Chapter 4. The Epidemiologic Aspects of COVID-19 Outbreak: Spreading Beyond Expectations / Sara Hanaei, Farnam Mohebi, Maziar Moradi-Lakeh, Parnian Jabbari, Surinder Kumar Mehta, Liudmyla S. Kryvenko, Livio Luongo, Loďc Dupré, Nima Rezaei Chapter 5. The Incubation Period of COVID-19: Current Understanding and Modeling Technique / Char Leung Chapter 6. Coronavirus: Pure Infectious Disease or Genetic Predisposition / Farzaneh Darbeheshti, Hassan Abolhassani, Mohammad Bashashati, Saeid Ghavami, Sepideh Shahkarami, Samaneh Zoghi, Sudhir Gupta, Jordan S. Orange, Hans D. Ochs, Nima Rezaei Chapter 7. Genetic Polymorphisms in the Host and COVID-19 Infection / Joris R. Delanghe, Marc L. De Buyzere, Marijn M. Speeckaert Chapter 8. How COVID-19 Has Globalized: Unknown Origin, Rapid Transmission, and the Immune System Nourishment / Amene Saghazadeh, Nima Rezaei Chapter 9. Potential Anti-viral Immune Response Against COVID-19: Lessons Learned from SARS-CoV / Mahzad Akbarpour, Laleh Sharifi, Amir Reza Safdarian, Pooya Farhangnia, Mahdis Borjkhani, Nima Rezaei Chapter 10. COVID-19 and Cell Stress / Abdo A Elfiky, Ibrahim M Ibrahim, Fatma G Amin, Alaa M Ismail, Wael M Elshemey Chapter 11. Clinical Manifestations of COVID-19 / Mahsa Eskian, Nima Rezaei Chapter 12. Pediatrics and COVID-19 / Tuna Toptan, Sandra Ciesek, Sebastian Hoehl Chapter 13. Geriatrics and COVID-19 / Mona Mirbeyk, Amene Saghazadeh, Nima Rezaei Chapter 14. Coronavirus Diseases in Pregnant Women, the Placenta, Fetus, and Neonate / David A. Schwartz, Amareen Dhaliwal Chapter 15. COVID-19 in Patients with Hypertension / Thiago Quinaglia, Mahsima Shabani, Nima Rezaei Chapter 16. COVID-19 and Cardiovascular Diseases / Babak Geraiely, Niloufar Samiei, Parham Sadeghipour, Azita Haj Hossein Talasaz, Seyedeh Hamideh Mortazavi, Roya Sattarzadeh Badkoubeh Chapter 17. How Prevalent Is Cancer in Confirmed Cases with Coronaviruses and Severe Acute Respiratory Syndromes? / Maryam Fotouhi, Elham Samami, Sahar Mohseni, Amir Nasrollahizadeh, Mohammad Haddadi, Mona Mirbeyk, Amene Saghazadeh, Nima Rezaei Chapter 18. COVID-19 in Patients with Cancer / Ali Nowroozi, Sepideh Razi, Kamal Kant Sahu, Fabio Grizzi, Jann Arends, Mahsa Keshavarz-Fathi, Nima Rezaei Chapter 19. COVID-19 and Tropical Infection: Complexity and Concurrence / Pathum Sookaromdee, Viroj Wiwanitkit Chapter 20. Neurologic Manifestations of COVID-19 / Farnaz Delavari, Farnaz Najmi Varzaneh, Nima Rezaei Chapter 21. Autoimmune Processes Involved in Organ System Failure Following Infection with SARS-CoV-2 / Steven E. Kornguth, Robert J. Hawley Chapter 22. Clinical and Laboratory Predictors of Severity, Criticality, and Mortality in COVID-19: A Multisystem Disease / Bahareh Gholami, Samira Gholami, Amir Hossein Loghman, Behzad Khodaei, Simin Seyedpour, Nasrin Seyedpour, Amene Saghazadeh, Nima Rezaei Chapter 23. Diagnostic Tests for COVID-19 / Tung Phan, Kristin Nagaro Chapter 24. The Role of Medical Imaging in COVID-19 / Houman Sotoudeh, Masoumeh Gity Chapter 25. Therapeutic Development in COVID-19 / Chan Yang, Yuan Huang, Shuwen Liu Chapter 26. Immune-based Therapy for COVID-19 / Abdolreza Esmaeilzadeh, Davood Jafari, Safa Tahmasebi, Reza Elahi, Elnaz Khosh Chapter 27. Ventilatory Support in Patients with COVID-19 / Paolo Maria Leone, Matteo Siciliano, Jacopo Simonetti, Angelena Lopez, Tanzira Zaman, Francesco Varone, Luca Richeldi Chapter 28. Nutrition and Immunity in COVID-19 / Marjan Moallemian Isfahani, Zahra Emam-Djomeh, Idupulapati M. Rao, Nima Rezaei Chapter 29. Dietary Supplements for COVID-19 / Gerard E. Mullin, Berkeley Limektkai, Lin Wang, Patrick Hanaway, Loren Marks, Edward Giovannucci Chapter 30. Photobiomodulation and Antiviral Photodynamic Therapy in COVID-19 Management / Reza Fekrazad, Sohrab Asefi, Maryam Pourhajibagher, Farshid Vahdatinia, Sepehr Fekrazad, Abbas Bahador, Heidi Abrahamse, Michael R Hamblin Chapter 31. The COVID-19 Vaccine Landscape / Till Koch, Anahita Fathi, Marylyn M. Addo Chapter 32. Prevention of COVID-19: Preventive Strategies for General Population, Health Care Settings, and Various Professions / Shirin Moossavi, Kelsey Fehr, Hassan Maleki, Simin Seyedpour, Mahdis Keshavarz-Fath, Farhad Tabasi, Mehrdad Heravi, Rayka Sharifian, Golnaz Shafiei, Negin Badihian, Roya Kelishadi, Shahrzad Nematollahi, Majid Almasi, Saskia Popescu, Mahsa Keshavarz-Fathi, Nima Rezaei Chapter 33. Pharmacist Role and Pharmaceutical Care during the COVID-19 Pandemic / Pedro Amariles, Mónica Ledezma-Morales, Andrea Salazar-Ospina, Jaime Alejandro Hincapié-García Chapter 34. Impact of COVID-19 on Dentistry / Arghavan Tonkaboni, Mohammad Hosein Amirzade-Iranaq, Heliya Ziaei, Amber Ather Chapter 35. The Implications of COVID-19 to Ophthalmology / Tracy H.T. Lai, Emily W.H. Tang, Kenneth K.W. Li Chapter 36. Challenges of Cellular therapy during COVID-19 Pandemic / Kamal Kant Sahu, Sikander Ailawadhi, Natalie Malvik, Jan Cerny Chapter 37. COVID-19 Amid Rumours and Conspiracy Theories: The Interplay between Local and Global Worlds / Inayat Ali Chapter 38. Exploration of the Epidemiological and Emotional Impact of Quarantine and Isolation during COVID‐19 Pandemic / Helia Mojtabavi, Nasirudin Javidi, Anne-Frédérique Naviaux, Pascal Janne, Maximilien Gourdin, Mahsa Mohammadpour, Amene Saghazadeh, Nima Rezaei Chapter 39. The Main Sources and Potential Effects of COVID-19-related Prejudice and Discrimination / Piotr Rzymski, Hanna Mamzer, Michał Nowicki Chapter 40. Potential mechanisms of COVID-19-related psychological problems and mental disorders / Chunfeng Xiao Chapter 41. Mental Health in Health Professionals in the COVID-19 Pandemic / Antonia Bendau, Andreas Ströhle, Moritz Bruno Petzold Chapter 42. Treatment of Patients with Mental Illness Amid a Global COVID-19 Pandemic / Ankit Jain, Kamal Kant Sahu, Paroma Mitra Chapter 43. A Shift in Medical Education During the COVID-19 Pandemic / Farida Nentin, Nagaraj Gabbur, Adi Katz Chapter 44. Reopening Schools After a Novel Coronavirus Surge / Dan Li, Elizabeth Z. Lin, Marie A. Brault, Julie Paquette, Sten H. Vermund, Krystal J. Godri Pollitt Chapter 45. COVID-19 and Its Impact on Tourism Industry / Dimitrios G. Lagos, Panoraia Poulaki, Penny Lambrou Chapter 46. COVID-19 and Its Global Economic Impact / Zahra Kolahchi, Manlio De Domenico, Lucina Q. Uddin, Valentina Cauda, Igor Grossmann, Lucas Lacasa, Giulia Grancini, Morteza Mahmoudi, Nima Rezaei Chapter 47. Retrieval and Investigation of Data on SARS-CoV-2 and COVID-19 Using Bioinformatics Approach / Muhamad Fahmi, Viol Dhea Kharisma, Arif Nur Muhammad Ansori, Masahiro Ito Chapter 48. Answering the Challenge of COVID-19 Pandemic through Innovation and Ingenuity / Kathryn Clare Kelley, Jonathan Kamler, Manish Garg, Stanislaw P. Stawicki Chapter 49. COVID-19 Pandemic: The Influence of Culture and Lessons for Collaborative Activities / Linda Simon Paulo, George M. Bwire, Xingchen Pan, Tianyue Gao, Amene Saghazadeh, Chungen Pan Chapter 50. A Borderless Solution Is Needed for A Borderless Complexity, Like COVID-19, The Universal Invader / Kawthar Mohamed, Rangarirai Makuku, Eduardo Rodríguez-Román, Aram Pascal Abu Hejleh, Musa Joya, Mariya Ivanovska, Sara A. Makka, Md Shahidul Islam, Nesrine Radwan, Attig-Bahar Faten, Chunfeng Xiao, Leander Marquez, Nima Rezaei Chapter 51. Socialization During The COVID-19 Pandem

Note: Contents 1 Introduction 1.1 Porous Material 1.2 Physical Mechanism 1.2.1 Drained and Undrained Responses 1.2.2 Time and Length Scale 1.2.3 Skempton Pore Pressure Effect 1.2.4 Effective Stress for Volumetric Deformation 1.2.5 Effective Stress for Pore Collapse 1.2.6 Fluid Storage 1.2.7 Thermoelasticity Analogy 1.2.8 Coupled Versus Uncoupled Diffusion 1.3 Poroelastic Phenomena 1.3.1 Borehole Failure 1.3.2 Mandel-Cryer Effect 1.3.3 Noordbergum Effect 1.3.4 Land Subsidence 1.3.5 Slope Stability and Fault Slippage 1.3.6 Fluid Induced Seismicity 1.3.7 Outburst of Coal 1.3.8 Hydraulic Fracturing 1.3.9 Water Wave and Seabed Interaction 1.3.10 Tidal and Barometric Efficiency 1.3.11 Biomechanics 1.3.12 Poroviscoelasticity and Anelastic Strain Recovery 1.3.13 Porothermoelasticity and Thermal Fracturing 1.3.14 Poroelastodynamics and Seismoelectric Effect 1.3.15 Swelling of Clay and Shale 1.3.16 Nanoporous Material References 2 Constitutive Equation 2.1 Physical Versus Phenomenological Approach 2.2 Stress and Strain of Porous Medium 2.2.1 Stress 2.2.2 Strain 2.3 Poroelastic Constitutive Equation 2.3.1 Isotropic Elastic Material 2.3.2 Isotropic Poroelastic Material 2.3.3 Reciprocal Work Theorem 2.3.4 Stress-Strain Relation 2.3.5 Strain-Stress Relation 2.4 Bulk Material Constant 2.4.1 Drained and Undrained Constant 2.4.2 Effective Stress Coefficient 2.4.3 Pore Pressure Coefficient 2.4.4 Storage Coefficient References 3 Micromechanics 3.1 Micromechanical Analysis 3.1.1 Solid and Pore Volumetric Strain 3.1.2 Fluid Volumetric Strain 3.1.3 Link Among Material Constants 3.2 Ideal Porous Medium 3.3 Effective Modulus 3.3.1 Mackenzie Model 3.3.2 Walsh Model 3.3.3 Budiansky and O’Connell Model 3.3.4 Bounds on Material Constants 3.4 Nonlinear Model 3.4.1 Effective Stress Dependent Pore Compressibility 3.4.2 Compaction Induced Permeability Change 3.5 Laboratory Test 3.5.1 Drained Test 3.5.2 Undrained Test 3.5.3 Unjacketed Test 3.6 Table of Poroelastic Constants References 4 Variational Energy Formulation 4.1 Internal and External Stress and Strain 4.1.1 Porosity 4.1.2 Volume and Surface Averaging of Elastic Material 4.1.3 Volume and Surface Averaging of Porous Material 4.1.4 Linkage Between Internal and External Strains 4.2 Thermodynamic Principles 4.3 Variational Formulation 4.3.1 Virtual Work 4.3.2 Internal Energy 4.3.3 Porosity Equilibrium 4.4 Constitutive Equation 4.4.1 Linear Material Model 4.4.2 Linear Model 4.5 Intrinsic Material Constant 4.5.1 Effective Solid Bulk Modulus 4.5.2 Fundamental Deformation Mode 4.5.3 Microisotropy and Microhomogeneity: Ideal Porous Medium 4.6 Link with Phenomenological Model 4.6.1 Link with Bulk Continuum Model 4.6.2 Link with Micromechanics Model 4.7 Deviation from Ideal Porous Medium 4.8 Limiting Material Properties 4.8.1 Ideal Porous Medium 4.8.2 Granular Material 4.8.3 Soil Mechanics Model: Saturated 4.8.4 Soil Mechanics Model: Nearly Saturated 4.8.5 Highly Compressible Solid 4.8.6 Highly Compressible Fluid 4.9 Material Stability and Energy Diagram 4.10 Semilinear Model 4.10.1 Geometric Nonlinearity 4.10.2 Structural Nonlinearity 4.11 Laboratory Measurement of Intrinsic Constant References 5 Anisotropy 5.1 Anisotropic Constitutive Equation 5.1.1 Elasticity 5.1.2 Poroelastic Stress-Strain Relation 5.1.3 Poroelastic Strain-Stress Relation 5.2 Material Symmetry 5.2.1 Orthotropy 5.2.2 Transverse Isotropy 5.2.3 Isotropy 5.3 Micromechanics 5.4 Ideal Porous Medium 5.5 Example References 6 Governing Equation 6.1 Darcy’s Law 6.1.1 Darcy’s Empirical Law 6.1.2 Homogenization Theory 6.1.3 Intrinsic Permeability and Mobility Coefficient 6.1.4 Irreversible Thermodynamics Process 6.2 Other Physical Laws 6.2.1 Mass Conservation 6.2.2 Force Equilibrium 6.3 Governing Equation 6.3.1 Navier-Cauchy Equation 6.3.2 Diffusion Equation 6.3.3 Compatibility Equation 6.3.4 Harmonic Relation 6.3.5 Orthotropy 6.3.6 Transverse Isotropy 6.4 Degenerated Governing Equation 6.4.1 Drained and Undrained State 6.4.2 Soil Mechanics Model 6.4.3 Irrotational Displacement Field 6.4.4 Uncoupling of Diffusion Equation 6.5 Boundary Value Problem 6.5.1 Existence and Uniqueness 6.5.2 Boundary Condition 6.6 Field Equation 6.6.1 Biot Function 6.6.2 Biot Decomposition 6.6.3 McNamee-Gibson Displacement Function References 7 Analytical Solution 7.1 Review of Early Work 7.2 Uniaxial Strain 7.2.1 Isotropy 7.2.2 Transverse Isotropy 7.3 One-Dimensional Consolidation Problem 7.3.1 Terzaghi’s Consolidation Problem 7.3.2 Loading by Fluid Pressure 7.3.3 Variable Rete Loading 7.3.4 Harmonic Excitation 7.4 Plane Strain 7.4.1 Orthotropy 7.4.2 Isotropy 7.4.3 Volumetric Strain and Rotation Formulation 7.5 Generalized Plane Strain 7.5.1 Definition of Generalized Plane Strain 7.5.2 Pure Shear 7.5.3 Warping 7.5.4 Torsion 7.5.5 Plane Strain 7.5.6 Axial Strain 7.5.7 Pure Bending 7.6 Pure Bending of Plate 7.6.1 Bending of Cantilever Plate 7.6.2 Buckling of Axially Loaded Plate 7.7 Mandel Problem 7.8 Water Wave Over Seabed 7.9 Spherical Symmetry 7.10 Cryer Problem 7.11 Spherical Cavity 7.11.1 Pressurized Cavity 7.11.2 Excavated Cavity 7.11.3 Pore Pressure Meter Problem 7.12 Axial Symmetry 7.13 Cylinder Problem 7.13.1 Solid Cylinder 7.13.2 Hollow Cylinder 7.14 Borehole Problem 7.14.1 Plane Strain Borehole Problem 7.14.2 Inclined Borehole Problem 7.15 Borehole and Cylinder Application Problems 7.15.1 Retrieval of Cylindrical Core 7.15.2 Excavated Borehole 7.15.3 Fluid Extraction and Injection 7.15.4 Borehole Breakdown Pressure 7.15.5 Borehole Stability Analysis 7.16 Moving Load on Half Plane 7.17 Plane Strain Half Space and Layered Problem 7.17.1 General Solution for Layered Problem 7.17.2 Plane Strain Half Space Problem 7.18 Axial Symmetry Half Space Problem References 8 Fundamental Solution and Integral Equation 8.1 Reciprocal Theorem 8.1.1 Green’s Second Identity 8.1.2 Betti-Maxwell Reciprocal Theorem 8.1.3 Reciprocal Theorem of Poroelasticity 8.2 Somigliana Integral Equation 8.2.1 Green’s Third Identity 8.2.2 Elasticity 8.2.3 Poroelasticity 8.3 Fredholm Integral Equation 8.3.1 Potential Problem 8.3.2 Elasticity 8.3.3 Poroelasticity 8.4 Stress Discontinuity Method 8.5 Displacement Discontinuity Method 8.6 Dislocation Method 8.7 Galerkin Integral Equation 8.8 Fundamental Solution 8.8.1 Elementary Fundamental Solution 8.8.2 Elasticity Fundamental Solution 8.9 Poroelasticity Fundamental Solution 8.10 Fluid Source 8.10.1 Continuous Source 8.10.2 Instantaneous Source 8.11 Fluid Dipole 8.11.1 Continuous Dipole 8.11.2 Instantaneous Dipole 8.12 Fluid Dilatation 8.12.1 Continuous Fluid Dilatation 8.12.2 Instantaneous Fluid Dilatation 8.13 Fluid Force 8.13.1 Continuous Fluid Force 8.13.2 Instantaneous Fluid Force 8.14 Fluid Dodecapole 8.15 Total Force 8.15.1 Continuous Total Force 8.15.2 Instantaneous Total Force 8.16 Solid Quadrupole and Hexapole 8.17 Solid Center of Dilatation 8.18 Displacement Discontinuity 8.19 Edge Dislocation 8.20 Fundamental Solution Relation Based on Reciprocity References 9 Poroelastodynamics 9.1 Dynamic Equilibrium Equation 9.2 Dynamic Permeability 9.3 Governing Equation 9.4 Wave Propagation 9.4.1 Elastic Wave 9.4.2 Poroelastic Wave 9.5 Phase Velocity and Attenuation 9.5.1 Phase Velocity 9.5.2 Attenuation 9.5.3 Extended Biot Models 9.6 One-Dimensional Wave Problem 9.6.1 Half Space 9.6.2 Finite Thickness Layer 9.7 Thermoelasticity Analogy 9.8 Poroelastodynamics Fundamental Solution 9.8.1 Elastodynamics Fundamental Solution 9.8.2 Helmholtz Decomposition 9.8.3 Three-Dimensional Point Force Solution 9.8.4 Three-Dimensional Fluid Source Solution 9.8.5 Two-Dimensional Fundamental Solution 9.9 Integral Equation Representation 9.10 Plane Wave Reflection and Refraction 9.10.1 Plane Strain Wave Solution 9.10.2 Reflection on Free Surface—Non-Dissipative Medium 9.10.3 Reflection on Free Surface—Dissipative Medium 9.10.4 Impermeable Surface 9.10.5 Fluid and Porous Medium Interface References 10 Poroviscoelasticity 10.1 Viscoelasticity 10.1.1 Spring and Dashpot Model 10.1.2 Correspondence Principle

Note: Contents 1 Introduction 2 Time and Geological Periods 3 Rocks and the Geological Record 4 The Age of the Rocks 5 Plate Tectonics, the Unifying Theory 6 Tectonics Units of Europe 6.1 Ancestral Europe 6.2 Paleo-Europe 6.3 Meso-Europe 6.4 Neo-Europe 7 Overview of the Plate Tectonic History of Europe 8 The Dynamic Earth, Earthquakes in Germany 9 Early Geological Evolution of Germany 9.1 The Pre-variscan Basement 9.2 Occurrences of Proterozoic and Early Paleozoic Units 9.2.1 Harz Mountains 9.2.2 Rheinisches Schiefergebirge 9.2.3 Lusatia 9.2.4 Elbe Zone 9.2.5 Erzgebirge 9.2.6 Schwarzburg Anticlinorium, Vesser Zone 9.2.7 Bohemian Massif 9.2.8 Black Forest 10 Late Paleozoic of Germany 10.1 The Variscan Orogeny 10.1.1 Rhenohercynian Zone 10.1.2 Saxothuringian Zone 10.1.3 Moldanubian Zone 10.2 Development of the Variscan Orogeny Through Time 10.2.1 Devonian 10.2.2 Carboniferous 10.3 The Variscides in Germany 10.3.1 Regional Geology of the Rhenohercynian 10.3.2 Northern Phyllite Zone 10.3.3 Regional Geology of the Saxothuringian 10.3.4 Saxothuringian (excluding the Mid-German Crystalline Zone) 10.3.5 Regional Geology of the Moldanubian 11 Permian and Mesozoic Geology of Germany 11.1 Post-Variscan History 11.2 Permian 11.2.1 Rotliegend 11.2.2 Zechstein 11.3 Permian/Triassic Boundary 11.4 Triassic 11.4.1 Buntsandstein (Bunter Sandstone) 11.4.2 Muschelkalk 11.4.3 Keuper 11.5 Triassic/Jurassic Boundary 11.6 Jurassic 11.6.1 Early Jurassic 11.6.2 Middle Jurassic 11.6.3 Late Jurassic 11.7 Cretaceous 11.7.1 Early Cretaceous 11.7.2 Late Cretaceous 11.8 Cretaceous/Tertiary Boundary 12 The Evolution of the Alps 12.1 Overview of the Tectonic Structure of the Alps 12.1.1 Helvetic 12.1.2 Penninic 12.1.3 Austroalpine and Southern Alpine Units 12.2 Development of the Alpine Region During the Permian 12.3 The Alpine Triassic 12.4 The Alpine Jurassic 12.5 The Alpine Region in the Cretaceous and Early Tertiary 12.6 The Tectonic Evolution of the Alps 13 Tertiary Basins 13.1 Tertiary Brown Coal Deposits 13.2 The Upper Rhine Graben 13.3 The Northern Alpine Foreland Basin—The Molasse 14 Tertiary and Quaternary Volcanism 14.1 Volcanism in the Eifel 14.2 Westerwald, Siebengebirge, Vogelsberg, Rhön, and Heldburger Gangschar 14.3 Small Chimneys in the Odenwald and the Messel Pit 14.4 Kaiserstuhl 14.5 Tuff Chimneys of Bad Urach, Hegau 14.6 Eger Graben Area, Fichtel Mountains, Vogtland, and Lusatia 15 Asteroid Craters 16 Germany During the Glacial Periods 16.1 Glacial and Interglacial Periods 16.2 Deposits and Erosion Forms of the Glacial Periods 16.3 The Baltic Sea—A Relic from the Last Glaciation Period Appendix References Index