Urban green park landscape design model for monitoring, predicting and calculating carbon sequestration rate

Abstract

The excessive reliance on fossil fuels and carbon production from daily appliances could cause a detrimental impact on the surrounding environment. This is due to the increase in carbon emissions which is one of the major contributors to the greenhouse effect. To alleviate the carbon footprint in the urban environment context, one of the promising methods to reduce carbon dioxide emission to the atmosphere is by selecting an appropriate plant species as well as optimization of the spatial organization of plant materials. Besides the character of the plant materials, criteria such as locality, age, diameter and height are very much influenced by the carbon sequestration rate. The Malaysian government pledged to achieve up to 40% voluntary reduction in carbon emission intensity. This research evaluates the abilities of vegetation and landscape plant setting as a vital component in adjusting the carbon sequestration according to species and the area. Carbon sequestration by vegetation and planting design is a great potential greenhouse gas mitigation measure. However, there is no specific landscape modeling design that can calculate the rate of carbon sequestration in our environment. Vegetation has a vital role in helping to sequestrate carbon emissions. The significance of this study is even with limited green space areas in urban areas, the carbon sequestration rate (CSR) can be further increased with the right selection of plants, at the right place with the right design. Therefore, this study aimed to develop a carbon sequestration design model system that can monitor, calculate and predict how much carbon can be absorbed by proposed plant species at a certain period. The anticipated outcomes of this study will be the green approach to monitor and sequester carbon toxicity using plant species as well as a novel landscape design approach model system to neutralize carbon emission which is cost-effective and environmentally friendly

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