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基于分数阶累加灰色模型预测藻类和贝类碳汇能力。

Forecasting algae and shellfish carbon sink capability on fractional order accumulation grey model.

机构信息

School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, Shandong, China.

出版信息

Math Biosci Eng. 2022 Mar 25;19(6):5409-5427. doi: 10.3934/mbe.2022254.


DOI:10.3934/mbe.2022254
PMID:35603362
Abstract

Marine biology carbon sinks function is vital pathway to earned carbon neutrality object. Algae and shellfish can capture CO2 from atmosphere reducing CO2 concentration. Therefore, algae and shellfish carbon sink capability investigate and forecast are important problem. The study forecast algae and shellfish carbon sinks capability trend base on 9 China coastal provinces. Fractional order accumulation grey model (FGM) is employed to forecast algae and shellfish carbon sinks capability. The result showed algae and shellfish have huge carbon sinks capability. North coastal provinces algae and shellfish carbon sinks capability trend smoothness. South and east coastal provinces carbon sinks capability trend changed drastically. The research advised coastal provinces defend algae and shellfish population, expand carbon sink capability. Algae and shellfish carbon sink resource will promote environment sustainable develop.

摘要

海洋生物学碳汇功能是实现碳中性目标的重要途径。藻类和贝类可以从大气中捕获二氧化碳,降低二氧化碳浓度。因此,藻类和贝类碳汇能力的调查和预测是一个重要的问题。本研究基于中国 9 个沿海省份预测藻类和贝类碳汇能力的趋势。分数阶累加灰色模型(FGM)用于预测藻类和贝类的碳汇能力。结果表明,藻类和贝类具有巨大的碳汇能力。北部沿海省份藻类和贝类碳汇能力趋势平稳。南部和东部沿海省份的碳汇能力趋势变化剧烈。研究建议沿海省份保护藻类和贝类种群,扩大碳汇能力。藻类和贝类碳汇资源将促进环境的可持续发展。

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