Research on Carbon Sequestration Strategy Based on Entropy Weight Method and TOPSIS Model

W. Li, Yuhan Duan, Zhiyuan Liu
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Abstract

This paper establishes a decision-making model for various forest species, and a forest management plan that maximizes forest carbon sequestration without damaging the environment is given. The model can adapt to a variety of conditions and has good sensitivity. This paper improved the model to consider the impact of managing forests on carbon sequestration, economy, ecological balance, climate, and other factors and gave them weights through the entropy weight method and the TOPSIS method, then re-given a better decision-making plan. This model has better practicability and can be used for different types of forests and can be adjusted according to the needs or preferences of local people, and the solution with the strongest carbon sequestration ability under the conditions that meet the requirements of the conditions can be obtained. This paper applied the above-improved model to two different forests, Geater Khingan Range and Wuyi Mountain. We collected their data for nearly ten years and used the model to make recommendations respectively.
基于熵权法和TOPSIS模型的固碳策略研究
本文建立了多种森林物种的决策模型,给出了在不破坏环境的前提下最大化森林固碳的森林经营方案。该模型能适应多种工况,具有良好的灵敏度。本文对模型进行了改进,考虑了森林经营对固碳、经济、生态平衡、气候等因素的影响,并通过熵权法和TOPSIS法给予权重,重新给出较好的决策方案。该模型具有较好的实用性,可用于不同类型的森林,并可根据当地居民的需求或偏好进行调整,在满足条件要求的条件下,获得固碳能力最强的解决方案。本文将上述改进模型应用于大兴安岭和武夷山两种不同的森林。我们收集了他们近十年的数据,利用模型分别提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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