Abstract—This research paper is aimed at developing a
mathematical model to determine species and number of plants
to be grown in a plot of land to establish forest in the CDM
(clean development mechanism) project. Previously, tree
planting aiming to reduce carbon in the atmosphere was
unsystematically designed and it is usually based on self
preference or available seeds on-hands. As a result, a total
carbon absorption by the plants is not according to the
requirement. Thus, a 0-1 integer programming is developed to
solve the mentioned problem. The developed mathematical
model therefore provides the optimal solution that ensures
required amount of carbon sequestration from the trees and
also obtains maximum profit determining between carbon
credit revenue and expenses from tree planting. The developed
model is flexible enough to allow users to specify amount of
required carbon sequestration or even a number of certain
plants needed to grow. In addition, the model is also taken into
account efficient planting pattern with mixture stand to avoid
competition among planting trees. The numerical results show
the practical solutions which are verified by experts. In brief,
the developed mathematical model is useful for forest
establishment project as it provides both systematic design and
optimal solution in terms of expected carbon absorption.
Index Terms—Integer programming, optimization, CDM,
climate change, carbon sequestration, tree planting.
C. Vanlisuta is with the Department of Production Engineering.
Phranakhon Rajabhat University, Bangkok, Thailand (e-mail:
c_vanlisuta@yahoo.com).
[PDF]
Cite:C. Vanlisuta, "The Forecasting Plant Trend That Is Appropriate in the
Storage of Carbon Dioxide to Fight Global Warming in the
Area of Nonthaburi," International Journal of Engineering and Technology vol. 6, no. 3, pp. 194-198, 2014.
