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<title cf:type="text"><![CDATA[ -->Carbon Emission Prediction and Accounting Technology]]></title>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Study on Interval Forecasting Model of Carbon Dioxide Emission from Papermaking Process Based on Hybrid Method]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202502007&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[The papermaking industry is a major source of carbon emissions in China. Accurate carbon dioxide （CO₂） emission forecasting is crucial for developing process optimization models aimed at minimizing emissions， thereby promoting green and sustainable development. Given the significant uncertainty and high volatility in carbon emissions of papermaking process， this study proposed a CO₂ interval forecasting model based on Variational Mode Decomposition （VMD）， Bayesian Optimization-Back Propagation Neural Network （BO-BPNN）， and Quantile Regression （QR）. First， VMD was applied to decompose the raw data signals. Then， a BO-BPNN based model was developed for CO₂ emission forecasting， followed by the construction of the interval forecasting model using QR. To evaluate the model’s performance， actual production data from a paper mill were collected， and a comparative model based on VMD-BO-Least Squares Support Vector Machine （LSSVM）-QR was established. The results indicated that the proposed model achieves superior accuracy， with <i>R</i>² of 0.993 6 and a prediction interval confidence probability of 0.892 4， outperforming the comparison model. This model demonstrated significant practical value for papermaking industry.]]></description>
<pubDate>2025/2/25 13:04:29</pubDate>
<category><![CDATA[Carbon Emission Prediction and Accounting Technology]]></category>
<author><![CDATA[HU Yusha,ZHOU Jianzhao]]></author>
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<atom:name>HU Yusha,ZHOU Jianzhao</atom:name>
</atom:author>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Satellite Imagery-based Greenhouse Gas Emission Accounting Model at the Factory Scale: A Case Study of Pulp and Paper Enterprises]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202502008&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Taking the pulp and paper enterprises as examples， this study constructed a greenhouse gas emission accounting model at the factory scale that integrated satellite images and machine learning methods. Firstly， pulp and paper enterprises were divided into four categories， namely， virgin fiber pulping enterprises， high basis weight papers enterprises， low basis weight papers enterprises， and specialty paper enterprises through satellite images. Then， the Lasso algorithm was adopted to fit the plant area with carbon emissions， and the <i>R²</i> of the four different types of enterprises were all above 0.74. The carbon emission accounting model was used to conduct greenhouse gas emission accounting at the factory scale for the 112 paper enterprises in the list of key emission units in China. The results showed that there were significant differences in greenhouse gas emissions among the 112 key emission units in the paper industry. The minimum emission was 44 500 t CO₂eq， and the maximum emission reached 4 260 100 t CO₂eq. This method also provided a new idea for carbon emission accounting at the factory scale.]]></description>
<pubDate>2025/2/25 13:04:29</pubDate>
<category><![CDATA[Carbon Emission Prediction and Accounting Technology]]></category>
<author><![CDATA[HU Song,LI Jigeng,HONG Mengna,HAN Yulin]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>HU Song,LI Jigeng,HONG Mengna,HAN Yulin</atom:name>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Embodied Carbon Accounting and Influencing Factors Analysis of China’s Paper Industry]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202502009&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[This study constructed the carbon emission input-output model and LMDI decomposition model to calculate the embodied carbon emission of China’s paper industry and explore the contribution of the main influencing factors， so as to provide a basis for the paper industry to develop green transformation strategies. The results showed that the embodied carbon emissions of the paper industry were much higher than the direct carbon emissions， and the indirect carbon emissions account for more than 70% during the study period and increased year by year， and the indirect carbon emissions account for more than 90% by 2020. The paper industry contributed the most carbon emissions to the energy supply sector， and the carbon emissions of other manufactured products and waste products were increasing. The indirect carbon emission intensity effect had the largest negative driving effect on the embodied carbon emission of the paper industry， and the economic development effect had the largest positive driving effect on the embodied carbon emission of the paper industry. It was proposed that the government should strengthen policy guidance， promote the development of energy saving and emission reduction technology， and pay attention to the carbon emission reduction work of the intermediate input of the domestic paper industry supply chain.]]></description>
<pubDate>2025/2/25 13:04:29</pubDate>
<category><![CDATA[Carbon Emission Prediction and Accounting Technology]]></category>
<author><![CDATA[LIANG Xiangyao,HE Zhenglei]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>LIANG Xiangyao,HE Zhenglei</atom:name>
</atom:author>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Decoupling and Prediction Analysis of Carbon Emissions for the Paper Industry]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202502010&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Tapio model was used to analyze the decoupling state between carbon emissions and paper production， and the carbon emissions under different development scenarios were predicted based on the STIRPAT model for the paper industry. The results showed that the carbon emissions and paper production were decoupled strongly or weakly. The energy intensity and electricity emission factor were the main factors to drive decoupling the carbon emissions. The total carbon emissions of paper industry would continue to increase under the current development scenario. In order to mitigate these emissions， in addition to reducing the emission factor of electricity and increasing the recycling rate of waste paper， the comprehensive use of improving energy efficiency and accelerating energy transition should be encouraged to achieve the purpose of transforming the carbon emission from growth to reduction from 2030.]]></description>
<pubDate>2025/2/25 13:04:30</pubDate>
<category><![CDATA[Carbon Emission Prediction and Accounting Technology]]></category>
<author><![CDATA[KONG Lingbo,CHEN Liang]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>KONG Lingbo,CHEN Liang</atom:name>
</atom:author>
<guid><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202502010&flag=1]]></guid><cfi:id>2</cfi:id><cfi:read>true</cfi:read></item>
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<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Exploration of Carbon Cost Estimation Methods for Plantation Forest Harvesting—An Example of the Production of Disposable Sanitary Products Using <i>Pinus kesiya</i> as Raw Material]]></title>
<link><![CDATA[http://zgzz.ijournals.cn/zgzzen/ch/reader/view_abstract.aspx?file_no=202502011&flag=1]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Apart from natural disturbances， wood harvesting is one of the human activities that can most significantly reduce forest carbon stocks. The greenhouse gas emissions caused by deforestation through “sustainable” management can be ignored， which is despite the fact in most current carbon accounting methods. However， these methods of net carbon accounting does not give any value to forest re growth and carbon storage capacity of virgin forests. The disposable sanitary products from <i>Pinus kesiya</i> plantations was taken as an example， and the carbon cost of plantation harvesting was estimated， based on the CHARM model， combined with the characteristics of product production and consumption， and considering the factor of time. The results showed that the carbon cost of harvesting <i>Pinus kesiya</i> plantations was 4.2 to 16.6 tC/ha， confirming that harvesting activities cause carbon losses and providing a certain reference for further improving the current carbon footprint accounting methods for pulp， paper， and paper products in China.]]></description>
<pubDate>2025/2/25 13:04:30</pubDate>
<category><![CDATA[Carbon Emission Prediction and Accounting Technology]]></category>
<author><![CDATA[AO Haolin,SU Zhenhua,LIU Zhenhua,SUN Bo,WAN Xiaofang]]></author>
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<atom:name>AO Haolin,SU Zhenhua,LIU Zhenhua,SUN Bo,WAN Xiaofang</atom:name>
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