%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%@archivingpolicy denypublisher denyfinaldraft24
%3 1-s2.0-S0304380007006229-main.pdf
%@secondarymark A_ASTRONOMIA_/_FÍSICA A_CIÊNCIA_DE_ALIMENTOS A_CIÊNCIAS_AGRÁRIAS A_CIÊNCIAS_BIOLÓGICAS_I A_ECOLOGIA_E_MEIO_AMBIENTE A_ENGENHARIAS_II A_ENGENHARIAS_III A_ENGENHARIAS_IV A_GEOCIÊNCIAS A_GEOGRAFIA A_INTERDISCIPLINAR A_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA B_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA
%D 2008
%4 dpi.inpe.br/plutao@80/2008/12.04.13.59.44
%T Optimal resource management control for CO2 emission and reduction of the greenhouse effect
%@usergroup lattes
%@usergroup marciana
%@usergroup marciana
%V 213
%@affiliation Ibmec São Paulo, Faculdade de Adminstração e Economia
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation ITA, Instituto Tecnológico de Aeronáutica
%F lattes: 5421394642444587 2 CaetanoGherYone:2008:OpReMa
%@versiontype publisher
%X In recent years, the world has witnessed an ever-growing concern towards global warming caused by greenhouse gases, such as carbon dioxide (CO2). In order to reduce the emissions of CO2 without limiting economic growth, substantial investments should target the development of clean technology and the expansion of forested areas. Considering the limited availability of resources, investments must be used in the most effective way. The present work proposes a method to efficiently manage these resources by applying the optimal control theory to a new mathematical model that describes the dynamics of the atmospheric CO2. The contributions of this work are twofold: (1) present a model that describes the dynamic relation of CO2 emission with investment in reforestation and clean technology and (2) present a method to efficiently manage the available resources by casting an optimal control problem. The mathematical model uses ordinary differential equations to relate the production of CO2 with forest area and Gross Domestic Product (GDP). The model parameters are adjusted to fit the actual published data. Given an appropriate performance index, the optimal solution is found by numerically solving the Two-Point Boundary Value Problem (TPBVP) that arises from the application of Pontriagyns Maximum Principle. The sensitivity of the obtained numerical solution is evaluated with respect to the uncertainties in the model parameters. The main objective of this work is to provide a quantitative tool for the efficient allocation of resources to reduce the greenhouse effect caused CO2 emissions.
%@area SRE
%@secondarykey INPE--PRE/
%@electronicmailaddress marcoALC1@isp.edu.br
%@electronicmailaddress douglas@dsr.inpe.br
%@electronicmailaddress takashi@ita.br
%@documentstage not transferred
%K control, simulation, mathematical model, global warming, carbon dioxide, greenhouse gases.
%@e-mailaddress douglas@dsr.inpe.br
%@doi 10.1016/j.ecolmodel.2007.11.014
%@issn 0304-3800
%@group
%@group DSR-OBT-INPE-MCT-BR
%@dissemination WEBSCI; PORTALCAPES; COMPENDEX.
%O Informações Adicionais: Second position in the Top 25 downloaded papers from Ecological Modelling 09/2008..
%P 119-126
%A Caetano, Marco Antonio Leonel,
%A Gherardi, Douglas Francisco Marcolino,
%A Yoneyama, Takashi,
%B Ecological Modelling
%2 dpi.inpe.br/plutao@80/2008/12.04.13.59.45
%@secondarytype PRE PI