Forest Models Based on Carbon Sequestration

扫码查看

原文链接

NETL

外文摘要：As greenhouse gases become more and more harmful to the environment， it's important to capture and sequester carbon dioxide in the forests to control the increase of greenhouse gases。 In addition to protecting forests， we need to consider the value of forests。 Taking the full range of factors into account we help forest managers develop optimal forest management plans。 First， we use Grey Prediction Model to obtain the forest with the greatest carbon sequestration over time。 Then using the Topsis Integrated Evaluation Method， we make a plan that can use the best of the forest from every aspect。 Last but not least， we apply AR Time Series Prediction Model to verify the suitability of our plan and predict the carbon sequestration from 1980 to 2080。 The models developed in this paper can largely be served as a theoretical basis for forestry carbon sequestration and its extension projects， contributing to the development of society。

外文关键词：

Carbon SequestrationGrey Prediction ModelAR Time Series Prediction ModelTopsis Integrated Evaluation Method

作者：

Shule Zheng、Yifei Zhang、Yixiao Xiao

展开 >

作者单位：

China Three Gorges of University, Yichang 443000, China

会议名称：

International conference on wireless communications, networking and applications

会议地点：

Wuhan(CN)

会议母体文献：

Proceeding of 2022 international conference on wireless communications, networking and applications

页码：

490-497

出版时间：

2022

DOI：

10.1007/978-981-99-3951-0_54