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Record Nr. |
UNINA990001458840403321 |
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Autore |
Kershaw, Kenneth A. |
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Titolo |
Quantitative and dynamic ecology / Kenneth A. Kershaw |
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Pubbl/distr/stampa |
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London, : Edward Arnold, c1964 |
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Descrizione fisica |
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viii, 183 p. : ill. ; 25 cm |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910153098503321 |
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Autore |
Gordon Robert J. |
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Titolo |
Macroeconomics / / Robert J. Gordon |
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Pubbl/distr/stampa |
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Harlow, England : , : Pearson, , [2014] |
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©2014 |
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ISBN |
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Edizione |
[Twelfth edition, Pearson new international edition.] |
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Descrizione fisica |
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1 online resource (635 pages) : illustrations |
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Collana |
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Disciplina |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Cover -- Table of Contents -- 1. What Is Macroeconomics? -- 2. The Measurement of Income, Prices, and Unemployment -- 3. Income and Interest Rates: The Keynesian Cross Model and the IS Curve -- 4. Strong and Weak Policy Effects in the IS-LM Model -- 5. Financial Markets, Financial Regulation, and Economic Instability -- 6. The |
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Government Budget, the Government Debt, and the Limitations of Fiscal Policy -- 7. International Trade, Exchanges Rates, and Macroeconomic Policy -- 8. Aggregate Demand, Aggregate Supply, and the Great Depression -- 9. Inflation: Its Causes and Cures -- 10. The Goals of Stabilization Policy: Low Inflation and Low Unemployment -- 11. The Theory of Economic Growth -- 12. The Big Questions of Economic Growth -- 13. The Goals, Tools, and Rules of Monetary Policy -- 14. The Economics of Consumption Behavior -- 15. The Economics of Investment Behavior -- 16. New Classical Macro and New Keynesian Macro -- 17. Conclusion: Where We Stand -- Appendix: International Annual Time Series Data for Selected Countries: 1960-2010 -- Glossary -- Index. |
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Sommario/riassunto |
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Macroeconomics is widely praised for its ability to present theory as a way of evaluating key macro questions, such as why some countries are rich and others are poor. Students have a natural interest in what is happening today and what will happen in the near future. Macroeconomics capitalizes on their interest by beginning with business cycles and monetary-fiscal policy in both closed and open economy. After that, Gordon presents a unique dynamic analysis of demand and supply shocks as causes of inflation and unemployment, followed by a dual approach to economic growth in which theory and real-world examples are used to compare rich and poor countries. MyEconLab New Design is now available for this title! MyEconLab New Design offers: One Place for All of Your Courses. Improved registration experience and a single point of access for instructors and students who are teaching and learning multiple MyLab/Mastering courses. A Simplified User Interface. The new user interface offers quick and easy access to Assignments, Study Plan, eText & Results, as well as additional option for course customization. New Communication Tools. The following new communication tools can be used to foster collaboration, class participation, and group work. Email: Instructors can send emails to their entire class, to individual students or to instructors who has access to their course. Discussion Board: The discussion board provides students with a space to respond and react to the discussions you create. These posts can also be separated out into specific topics where students can share their opinions/answers and respond to their fellow classmates' posts. Chat/ ClassLive: ClassLive is an interactive chat tool that allows instructors and students to communicate in real time. ClassLive can be used with a group of students or |
one-on-one to share images or PowerPoint presentations, draw or write objects on a whiteboard, or send and received graphed or plotted equations. ClassLive also has additional classroom management tools, including polling and hand-raising. Enhanced eText. Available within the online course materials and offline via an iPad app, the enhanced eText allows instructors and students to highlight, bookmark, take notes, and share with one another. |
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3. |
Record Nr. |
UNINA9911019561203321 |
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Autore |
Menut Laurent |
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Titolo |
Modeling of Regional Atmospheric Pollution |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2024 |
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©2024 |
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ISBN |
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9781394284160 |
1394284160 |
9781394284191 |
1394284195 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (254 pages) |
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Disciplina |
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Soggetti |
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Atmospheric chemistry |
Environmental monitoring |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1. What is Atmospheric Pollution? -- 1.1. Introducing atmospheric pollution -- 1.1.1. The concept of polluted atmosphere -- 1.1.2. Where are the large polluted areas? -- 1.1.3. Atmospheric composition -- 1.2. Typical concentrations by season -- 1.3. Gas-phase chemistry -- 1.3.1. Abundance and lifetime of species -- 1.3.2. Ozone and the radical cycle -- 1.3.3. Chemical regimes -- 1.3.4. Typology of urban pollution -- 1.4. Aerosol chemistry -- 1.4.1. Abundance of aerosols -- 1.4.2. Size distribution -- 1.5. The atmospheric boundary layer -- 1.5.1. General structure -- 1.5.2. Diurnal cycle and turbulence -- 1.5.3. The urban boundary layer -- Chapter 2. Observations and Legislation -- 2.1. Meteorological measurements -- 2.1.1. In situ measurements -- 2.1.2. Measurements through remote detection -- 2.2. Atmospheric concentration measurements -- 2.2.1. In situ measurements -- 2.2.2. Measurements through remote detection -- 2.2.3. Micro-sensors -- 2.3. Measurement campaigns -- 2.4. Databases -- 2.5. Norms and legislations -- Chapter 3. General Principle Behind Modeling and Its Application to Meteorology -- 3.1. What is a model? -- 3.1.1. Definition of a numerical model -- |
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3.1.2. Journals on modeling -- 3.1.3. Different types of Eulerian models -- 3.1.4. A few current meteorological models -- 3.2. Constraints on a regional model -- 3.2.1. Definition of the domain of calculation -- 3.2.2. Initial conditions and boundary conditions -- 3.2.3. Surface data -- 3.2.4. Nudging and nesting -- 3.3. Dynamical, physical and parameterizations -- 3.3.1. Choosing the timestep -- 3.3.2. Diagnostic and prognostic variables -- 3.3.3. The boundary layer and turbulent fluxes -- Chapter 4. Emissions -- 4.1. Introduction -- 4.2. Anthropogenic emissions -- 4.2.1. Emission inventories. |
4.2.2. Emission cadastres -- 4.3. Biogenic emissions -- 4.3.1. Flux parameterization -- 4.3.2. Databases -- 4.3.3. Intercomparison and sensitivity -- 4.4. Emissions from biomass burning -- 4.4.1. Surface emission processes -- 4.4.2. Pyroconvection -- 4.5. Mineral dust emissions -- 4.5.1. Characterization of the surface, the soil and roughness -- 4.5.2. Taking meteorology into account -- 4.5.3. Calculating emission fluxes -- 4.5.4. Examples of emission fluxes -- 4.6. Emissions from volcanoes -- 4.6.1. General information -- 4.6.2. A recent eruption: the Icelandic volcano in 2010 -- 4.6.3. An older eruption: Laki in 1783 -- 4.7. Emissions from lightning -- 4.7.1. Frequency of lightning flashes -- 4.7.2. Estimation of NO production -- 4.7.3. The relative part produced by CG and IC -- 4.7.4. The vertical emission profile -- 4.7.5. Intercomparisons and observations -- 4.8. Natural marine emissions -- 4.8.1. Sea-salts -- 4.8.2. Dimethylsulfide -- 4.9. Pollen -- 4.10. Summarizing information on emissions -- Chapter 5. Deposition -- 5.1. Dry deposition -- 5.1.1. Aerodynamic resistance ra -- 5.1.2. Surface resistance rb -- 5.1.3. In-canopy resistance rc -- 5.2. Wet deposition -- 5.2.1. In convective columns -- 5.2.2. In the cloud -- 5.2.3. Below the cloud -- Chapter 6. Chemistry-Transport Modeling -- 6.1. Principles underlying chemistry-transport models -- 6.2. Initial conditions and boundary conditions -- 6.3. Taking into account transport -- 6.3.1. Conservation of mass -- 6.3.2. The horizontal advection flux (u,v) -- 6.3.3. The vertical advection flux (w) -- 6.3.4. Turbulent diffusivity -- 6.4. Gas-phase chemistry -- 6.4.1. Chemical reactions -- 6.4.2. Solvers -- 6.4.3. Chemical mechanisms -- 6.5. Aerosols -- 6.5.1. Size distribution -- 6.5.2. Internal/external mixing -- 6.5.3. Aerosol models -- 6.6. Coupling meteorology and chemistry. |
6.6.1. Coupled models -- 6.6.2. Direct effects -- 6.6.3. Indirect effects -- 6.6.4. Uncertainties and future prospects -- Chapter 7. Qualification and Optimization -- 7.1. Qualification of modeling results -- 7.1.1. Is it possible to qualify or validate a model? -- 7.1.2. Are the results accurate? -- 7.1.3. Evaluation statistics -- 7.2. Comparisons with measurements or inter-model comparisons -- 7.2.1. Comparisons with routine measurements -- 7.2.2. Comparison with satellite measurements -- 7.2.3. Comparisons with measurement campaigns -- 7.2.4. Inter-model comparisons -- 7.3. Statistical adaptation or tuning -- 7.3.1. Modifications to input parameters -- 7.3.2. Modification of results -- 7.4. Scenarios -- 7.4.1. Meteorological scenarios -- 7.4.2. Emission scenarios -- 7.4.3. Scenarios related to a process in the model -- 7.5. Sensitivity studies -- 7.5.1. Sensitivity through direct modeling -- 7.5.2. Sensitivity through adjoint modeling -- 7.6. Ensemble calculations -- 7.7. Machine learning -- Chapter 8. Data Assimilation, Inverse Modeling and Forecasting -- 8.1. Data assimilation -- 8.1.1. Sequential assimilation -- 8.1.2. Variational assimilation -- 8.1.3. Applications of data assimilation -- 8.1.4. Gain from data assimilation for pollution -- 8.2. Inverse modeling -- 8.3. Forecasting -- Chapter 9. The Impacts of Atmospheric Pollution -- 9.1. The impact of pollution on climate -- 9.2. The impact of climate on |
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pollution -- 9.3. The impact of pollution on health -- References -- Index -- EULA. |
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Sommario/riassunto |
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This book, 'Modeling of Regional Atmospheric Pollution' by Laurent Menut, provides an in-depth analysis of atmospheric pollution, focusing on regional modeling approaches. It covers the fundamental concepts of atmospheric pollution, the chemical composition of the atmosphere, and the dynamics of pollutants. The book discusses various measurement techniques, including in situ and remote detection methods, and the importance of legislative norms in managing pollution. It further explores the principles behind numerical modeling, particularly Eulerian models, and their application in meteorology to simulate and predict pollution scenarios. The work is intended for researchers, students, and professionals in atmospheric sciences, aiming to enhance understanding of the complexities involved in pollution modeling and control. |
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