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Make use of grey prediction model and other models to design a reasonable carbon sequestration and forest management plan

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DOI: 10.23977/erej.2022.060312 | Downloads: 11 | Views: 229


Yunhao Zhang 1, Weisheng Zhang 1, Yuanmin Pu 1, Jinbiao Liu 1, Xiaoying Su 1


1 School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning, 114051, China

Corresponding Author

Xiaoying Su


Because of climate change, greenhouse gases are increasing.This phenomenon can be alleviated by increasing carbon sequestration, increasing economic benefits and making human life better. For that purpose. We make use of grey prediction model and other models to design a reasonable carbon sequestration and forest management plan. Hangzhou was selected as the research object. The models calculate that forests need to be cut down to reach equilibrium. The vegetation and Carbon Density Change Model (CEVSA2) and forest Management model (FOERCAST) were used to calculate the carbon sequestration of tree species with relatively high carbon sequestration, long production cycle and relatively low economic efficiency. The formula calculated by ENVI can be used as the sequestration stock of carbon dioxide in the region for more than 100 years. The total fixed carbon dioxide is 414,266,771 tons. We conducted data testing and prediction. The results show that our model has good stability.


Forest Carbon Sequestration, Forecast, Economy, Grey forecast


Yunhao Zhang, Weisheng Zhang, Yuanmin Pu, Jinbiao Liu, Xiaoying Su, Make use of grey prediction model and other models to design a reasonable carbon sequestration and forest management plan. Environment, Resource and Ecology Journal (2022) Vol. 6: 92-99. DOI:


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