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Books on the topic 'Greenhouse gas mitigation – Mathematical models'

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Author: Grafiati
Published: 10 March 2023

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1

F, Javier Hanna. Aplicación del modelo markal macro en Bolivia: Pirmera fase. La Paz, Bolvia: Programa Nacional de Cambios Climaticos, 2003.

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2

Environmental and Water Resources Institute (U.S.), ed. Climate change modeling, mitigation, and adaptation. Reston, Virginia: American Society of Civil Engineers, 2013.

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3

Schneider, Uwe A. Greenhouse gas mitigation through energy crops in the United States with implications for Asian-Pacific countries. Ames, IA: Center for Agricultural and Rural Development, Iowa State University, 2001.

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4

Peter, Markewitz, and Forschungszentrum Jülich Programmgruppe Technologiefolgenforschung, eds. Modelle für die Analyse energiebedingter Klimagasreduktionsstrategien. Jülich: Forschungszentrum Jülich, 1998.

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5

Strategic bargaining and cooperation in greenhouse gas mitigations: An integrated assessment modeling approach. Cambridge, MA: MIT Press, 2008.

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6

National Research Council (U.S.). Division on Engineering and Physical Sciences, ed. Modeling the economics of greenhouse gas mitigation: Summary of a workshop. Washington, D.C: National Academies Press, 2011.

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7

Taylor, Richard. Impacts of greenhouse gas emission regulations on the U.S. sugar industry. Fargo, N.D: Center for Agricultural Policy and Trade Studies, Dept. of Agribusiness and Applied Economics, North Dakota State University, 2010.

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8

National Research Council (U.S.). Transportation Research Board, National Cooperative Freight Research Program, and United States. Dept. of Transportation. Research and Innovative Technology Administration, eds. Representing freight in air quality and greenhouse gas models. Washington, D.C: Transportation Research Board, 2010.

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9

E, Schlesinger M., and Workshop on Greenhouse-Gas-induced Climatic Change: A Critical Appraisal of Simulations and Observations (1989 : University of Massachusetts, Amherst), eds. Greenhouse-gas-induced climatic change: A critical appraisal of simulations and observations. Amsterdam: Elsevier, 1991.

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10

1950-, Berck Peter, California Energy Commission. Public Interest Energy Research., and University of California, Berkeley. Dept. of Agricultural and Resource Economics., eds. Policy options for greenhouse gas mitigation in California: Preliminary results from a new social accounting matrix and computable general equilibrium (CGE) model : PIER final project report. [Sacramento, Calif.]: California Energy Commission, 2008.

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11

Barns, David W. Use of the Edmonds-Reilly model to model energy-related greenhouse gas emissions. Paris: Organisation for Economic Co-operation and Development, 1992.

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12

Newell, Richard. Discounting the benefits of climate change mitigation: How much do uncertain rates increase valuations? Arlington, VA: Pew Center on Global Climate Change, 2001.

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13

Bonn), IKARUS-Workshop (1997 Wissenschaftszentrum. Modellinstrumente für CO₂-Minderungsstrategien: Eine Veranstaltung der Programmgruppe Systemforschung und Technologische Entwicklung (STE) der Forschungszentrum Jülich GmbH und des Instituts für Energiewirtschaft und Rationelle Energieanwendung (IER) der Universität Stuttgart : proceedings. Jülich: Forschungszentrum, Zentralbibliothek, 1997.

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14

Harchaoui, Tarek M. Assessing the impact of greenhouse gas emissons on Canada's productivity growth, 1981-1996: An experimental approach. Ottawa: Statistics Canada, Micro-Economic Analysis Division, 2002.

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15

1949-, Noda A., and Kokuritsu Kankyō Kenkyūjo. Chikyū Kankyō Kenkyū Sentā., eds. A new meteorological research institute coupled GCM (MRI-CGCM2): Transient response to greenhouse gas and aerosol scenarios. Tsukuba, Japan: Center for Global Environmental Research, National Institute for Environmental Studies, Environment Agency of Japan, 2001.

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16

Canada. Minerals and Metals Sector. Economic impact of carbon abatement policies and market structure: A dynamic general equilibrium analysis with imperfect competition. Ottawa: Industry Canada, 2001.

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17

Copeland, Brian Richard. Free trade and global warming: A trade theory view of the Kyoto Protocol. Cambridge, MA: National Bureau of Economic Research, 2000.

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18

Ardone, Armin Vito. Entwicklung Einzelstaatlicher und Multinationaler Treibhausgasminderungsstrategien Fur die Bundesrepublik Deutschland Mit Hilfe von Optimierenden Energie- und Stofffluamodellen. Lang AG International Academic Publishers, Peter, 1999.

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19

Krauter, Stefan C. W. Solar Electric Power Generation - Photovoltaic Energy Systems: Modeling of Optical and Thermal Performance, Electrical Yield, Energy Balance, Effect on Reduction of Greenhouse Gas Emissions. Springer, 2006.

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20

Ye, Liu, Jose Porro, and Ingmar Nopens, eds. Quantification and Modelling of Fugitive Greenhouse Gas Emissions from Urban Water Systems. IWA Publishing, 2022. http://dx.doi.org/10.2166/9781789060461.

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Abstract With increased commitment from the international community to reduce greenhouse gas (GHG) emissions from all sectors in accordance with the Paris Agreement, the water sector has never felt the pressure it is now under to transition to a low-carbon water management model. This requires reducing GHG emissions from grid-energy consumption (Scope 2 emissions), which is straightforward; however, it also requires reducing Scope 1 emissions, which include nitrous oxide and methane emissions, predominantly from wastewater handling and treatment. The pathways and factors leading to biological nitrous oxide and methane formation and emissions from wastewater are highly complex and site-specific. Good emission factors for estimating the Scope 1 emissions are lacking, water utilities have little experience in directly measuring these emissions, and the mathematical modelling of these emissions is challenging. Therefore, this book aims to help the water sector address the Scope 1 emissions by breaking down their pathways and influencing factors, and providing guidance on both the use of emission factors, and performing direct measurements of nitrous oxide and methane emissions from sewers and wastewater treatment plants. The book also dives into the mathematical modelling for predicting these emissions and provides guidance on the use of different mathematical models based upon your conditions, as well as an introduction to alternative modelling methods, including metabolic, data-driven, and AI methods. Finally, the book includes guidance on using the modelling tools for assessing different operating strategies and identifying promising mitigation actions. A must-have book for anyone needing to understand, account for, and reduce water utility Scope 1 emissions. ISBN: 9781789060454 (Paperback) ISBN: 9781789060461 (eBook) ISBN: 9781789060478 (ePub)
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21

Schlesinger, M. E. Greenhouse-Gas-Induced Climatic Change: A Critical Appraisal of Simulations and Observations. Elsevier Science & Technology Books, 2017.

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22

Atmospheric ozone as a climate gas: General circulation model simulations. Berlin: Springer, 1995.

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23

Wang, Wei-Chyung, and Ivar S. Isaksen. Atmospheric Ozone As a Climate Gas: General Circulation Model Simulations. Springer London, Limited, 2013.

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24

Modellinstrumente fur CO-Minderungsstrategien: Eine Veranstaltung der Programmgruppe Systemforschung und Technologische Entwicklung (STE) der Forschungszentrum ... : proceedings (Umwelt Systemanalysen). Forschungszentrum, Zentralbibliothek, 1997.

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25

Wing, Ian Sue, and Edward J. Balistreri. Computable General Equilibrium Models for Policy Evaluation and Economic Consequence Analysis. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.7.

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This chapter reviews recent applications of computable general equilibrium (CGE) modeling in the analysis and evaluation of policies that affect interactions among multiple markets. At the core of this research is a particular approach to the data and structural representations of the economy, elaborated through the device of a canonical static multiregional model. This template is adapted and extended to shed light on the structural and methodological foundations of simulating dynamic economies, incorporating “bottom-up” representations of discrete production activities, and modeling contemporary theories of international trade with monopolistic competition and heterogeneous firms. These techniques are motivated by policy applications including trade liberalization, development, energy policy and greenhouse gas mitigation, the impacts of climate change and natural disasters, and economic integration and liberalization of trade in services.
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26

Cook, Kerry H. Climate Change Scenarios and African Climate Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.545.

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Accurate projections of climate change under increasing atmospheric greenhouse gas levels are needed to evaluate the environmental cost of anthropogenic emissions, and to guide mitigation efforts. These projections are nowhere more important than Africa, with its high dependence on rain-fed agriculture and, in many regions, limited resources for adaptation. Climate models provide our best method for climate prediction but there are uncertainties in projections, especially on regional space scale. In Africa, limitations of observational networks add to this uncertainty since a crucial step in improving model projections is comparisons with observations. Exceeding uncertainties associated with climate model simulation are uncertainties due to projections of future emissions of CO2 and other greenhouse gases. Humanity’s choices in emissions pathways will have profound effects on climate, especially after the mid-century.The African Sahel is a transition zone characterized by strong meridional precipitation and temperature gradients. Over West Africa, the Sahel marks the northernmost extent of the West African monsoon system. The region’s climate is known to be sensitive to sea surface temperatures, both regional and global, as well as to land surface conditions. Increasing atmospheric greenhouse gases are already causing amplified warming over the Sahara Desert and, consequently, increased rainfall in parts of the Sahel. Climate model projections indicate that much of this increased rainfall will be delivered in the form of more intense storm systems.The complicated and highly regional precipitation regimes of East Africa present a challenge for climate modeling. Within roughly 5º of latitude of the equator, rainfall is delivered in two seasons—the long rains in the spring, and the short rains in the fall. Regional climate model projections suggest that the long rains will weaken under greenhouse gas forcing, and the short rains season will extend farther into the winter months. Observations indicate that the long rains are already weakening.Changes in seasonal rainfall over parts of subtropical southern Africa are observed, with repercussions and challenges for agriculture and water availability. Some elements of these observed changes are captured in model simulations of greenhouse gas-induced climate change, especially an early demise of the rainy season. The projected changes are quite regional, however, and more high-resolution study is needed. In addition, there has been very limited study of climate change in the Congo Basin and across northern Africa. Continued efforts to understand and predict climate using higher-resolution simulation must be sustained to better understand observed and projected changes in the physical processes that support African precipitation systems as well as the teleconnections that communicate remote forcings into the continent.
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