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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014Vol.4(5): 354-357 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.400

The Conceptual Structure for a Depletion of Global Warming through Proficient Reforestation in South East Asia

C. Vanlisuta

Abstract—The objective of this paper is to determine the number and species of plants to be planted in order to maximize a profit through an integer linear programming model. In addition, this paper tends to reveal detailed data of a number of carbon equivalent emitted in the country which is about 375,662,000 tons per year. This amount is equivalent to 1.0 percent of the total number of carbon equivalent in the World. A large number of organizations therefore collaborate on enhancing forest by growing plants in the natural parks in order to reduce enormous amount of carbon dioxide. However, the forestation method is varied depending upon available plants and social community preference. As a result, the clean mechanism is not fully effective. No research literature in terms of which and how many plants should be grown to reduce certain amount of carbon dioxide is available. Let alone considers a mathematical model to solve this formidable problem. The conceptual idea will be presented in this paper. This framework can be a guideline for the government to promote effective forestation strategy or any party who are interested to maximize carbon credits by growing various plants under certain constraints.

Index Terms—Mitigate carbon, optimization, mathematical, integer programming.

C. Vanlisuta is with the Department of Production Engineering at Phranakhon Rajabhat University, Bangkok, Thailand (e-mail:c.vanlisuta@gmail.com).


Cite: C. Vanlisuta, "The Conceptual Structure for a Depletion of Global Warming through Proficient Reforestation in South East Asia," International Journal of Modeling and Optimization vol. 4, no. 5, pp. 354-357, 2014.

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