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Study on Surrogate Model of Greenhouse Gas Emission in Papermaking Wastewater Treatment Process
Received:February 09, 2023  
DOI:10.11981/j.issn.1000-6842.2023.02.59
Key Words:high dimensional model representation;Kriging;greenhouse gas;papermaking wastewater;surrogate model
Fund Project:国家自然科学基金项目(5200100319);广州市科技计划项目基础与应用基础研究项目(202201010356);人工智能与数字经济广东省实验室(广州)青年学者项目(PLZ2021KF0019)。
Author NameAffiliationPostcode
ZHENG Hongze* State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 510640
HE Zhenglei State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 510640
HONG Mengna State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 510640
MAN Yi State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640
Pazhou Lab, Guangzhou, Guangdong Province, 510335 
510335
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Abstract:
      Papermaking wastewater treatment process has the characteristics of high dimension, nonlinearity, and instability, and greenhouse gas emissions during which are affected by many factors. Models describing papermaking wastewater treatment process are currently lacking, rendering it difficult to effectively optimize and control greenhouse gas emissions during the process. In this study, the response surface model (RSM) and Kriging method were combined with high dimensional model representation (HDMR) to establish a surrogate model for greenhouse gas emissions generated from papermaking wastewater treatment, which could ensure the accuracy and reduce computational cost for optimizing design. The results showed that Kriging-HDMR had higher approximation accuracy than RSM-HDMR, with R2 of above 0.95, indicating that Kriging-HDMR was more suitable for high dimensional and nonlinear papermaking wastewater treatment process. The sensitivity analysis based on Kriging-HDMR showed that dissolved oxygen transfer coefficient and external circulation flow were the key parameters for greenhouse gas emission reduction.
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