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

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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1

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

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2

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

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3

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

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4

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

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5

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

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6

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. Elsevier, 1991.

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7

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. California Energy Commission, 2008.

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8

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

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9

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

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10

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. Forschungszentrum, Zentralbibliothek, 1997.

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11

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

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12

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. Center for Global Environmental Research, National Institute for Environmental Studies, Environment Agency of Japan, 2001.

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13

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

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14

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

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15

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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16

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
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17

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

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18

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

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19

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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20

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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21

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 contempo
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22

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 i
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