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).
[PDF]
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.
