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

Gu, Haolei; Yin, Kedong

doi:10.3934/mbe.2022254

Cited by 12 publications

(6 citation statements)

References 39 publications

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“…First, scholars usually make comparisons of shellfish and algae carbon sinks in a certain region [27][28][29]. Scholars mostly make vertical comparisons of the carbon sink capacity of a region in a period of time or horizontal comparisons of the carbon sink capacity of different regions in the same period of time [30][31][32]. Meanwhile, some scholars have studied the quantitative relationship of shellfish and algae carbon sinks in different regions based on spatial econometrics.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial-Temporal Evolutionary Characteristics of Shellfish and Algae Carbon Sinks in China: Analysis Based on Geographic Information System (GIS)

Xie¹,

He²

2023

Pol. J. Environ. Stud.

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The shellfish and algae carbon sinks as an important part of the fishery carbon sinks. It is of great significance to evaluate the current development status of shellfish and algae carbon sinks for the development of fishery carbon sinks and realization of carbon neutrality. There are a lot of studies on the quantitative relationship of shellfish and algae carbon sinks, but few researches on its spatial relationship. This study used the Natural Breaks and Standard Deviation Ellipse (SDE) in Geographic Information System (GIS) to analyze the spatial evolutionary characteristics of China's shellfish and algae carbon sinks from 1992 to 2021. The results show that spatial distribution of carbon sinks varied widely in different regions, the overall spatial layout was stable and gradually formed a pattern of integrated and coordinated development of key regions and general regions. The structure of the shellfish and algae carbon sinks was unbalanced in China, in which algae carbon sinks had great potential for development. China's shellfish and algae carbon sinks had strong resilience after natural disasters. Based on the above findings, this study suggests that all regions should increase the total output of shellfish and algae, expand the scale of algae, and achieve a balanced development of the shellfish and algae industry. Local governments should introduce marine environmental governance policies according to local conditions to achieve precise intervention in key carbon sink areas and overall governance in general carbon sink areas. The government should actively promote the expansion of shellfish and algae mariculture scale. This study will provide reference for the future development of China's fishery carbon sinks.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial-Temporal Evolutionary Characteristics of Shellfish and Algae Carbon Sinks in China: Analysis Based on Geographic Information System (GIS)

Xie¹,

He²

2023

Pol. J. Environ. Stud.

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“…The data include the average carbon sink rates for different kinds of shellfish and algae calculated with Equations ( 1) and (2). It is predicted that the carbon sink of shellfish and algae in Zhejiang will increase in the future [72,73]. The area of mariculture has continued to expand, reaching 825.4 with 364.8 km 2 of shellfish and 173.2 km 2 of algae.…”

Section: Marine Ecosystemsmentioning

confidence: 99%

Sustainable Approaches to Realize Carbon Neutrality in China: A Case Study of Zhejiang Province

Shu

Chen

2022

JMSE

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With the continuous development of industry, the massive emission of carbon dioxide (CO2) has become a global challenge that cannot be ignored due to its nature as the primary driver of global climate change and environmental crisis. Carbon neutrality is proposed as a global initiative to mitigate climate change. As a developing industrial country, China provides about one-third of global carbon emissions and has set a carbon-neutral goal by 2060. To achieve this goal, continuous efforts across the country are required. In this review, Zhejiang Province, one of the most developed regions in China, is set as a model for analysis. We first summarize the current situation of carbon emission in Zhejiang Province. Then, corresponding sustainable approaches such as ecological and industrial solutions for the reduction of future carbon emissions are introduced for Zhejiang Province. We also provide a direction for the realization of carbon neutrality, focusing on the most promising solutions for Zhejiang Province.

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“…In this model, every sequence is multiplied by a distinct fractional order [27,31]. This model has been successfully implemented in energy consumption prediction [32], carbon sink capability prediction [33], and other fields.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method of Blockchain Cryptocurrency Price Prediction Using Fractional Grey Model

et al. 2023

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Cryptocurrency prices have the characteristic of high volatility, which has a specific resistance to cryptocurrency price prediction. Therefore, the appropriate cryptocurrency price predictive method can help reduce the investment risk of investors. In this study, we proposed a novel prediction method using a fractional grey model (FGM (1,1)) to predict the price of blockchain cryptocurrency. Specifically, this study established the FGM (1,1) through the closing price of three representative blockchain cryptocurrencies (Bitcoin (BTC), Ethereum (ETH), and Litecoin (LTC)). It adopted the PSO algorithm to optimize and obtain the optimal order of the model, thereby conducting prediction research on the price of blockchain cryptocurrency. To verify the predictive precision of the FGM (1,1), we mainly took MAPE, MAE, and RMSE as the judging criteria and compared the model’s predictive precision with the GM (1,1) through experiments. The research results indicate that within the data range studied, the predictive accuracy of the FGM (1,1) in the closing price of BTC, ETH, and LTC has reached a “highly accurate” level. Moreover, in contrast to the GM (1,1), the FGM (1,1) outperforms predictive capability in the experiments. This study provides a feasible new method for the price prediction of blockchain cryptocurrency. It has specific references and enlightenment for government departments, investors, and researchers in theory and practice.

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

Cited by 12 publications

References 39 publications

Spatial-Temporal Evolutionary Characteristics of Shellfish and Algae Carbon Sinks in China: Analysis Based on Geographic Information System (GIS)

Spatial-Temporal Evolutionary Characteristics of Shellfish and Algae Carbon Sinks in China: Analysis Based on Geographic Information System (GIS)

Sustainable Approaches to Realize Carbon Neutrality in China: A Case Study of Zhejiang Province

A Novel Method of Blockchain Cryptocurrency Price Prediction Using Fractional Grey Model

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