CO2 Emission Source Inversion in Industrial Parks Based on Aermod and POA-BP Neural Networks
Intelligent Modeling and Recognition|更新时间:2025-10-11
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CO2 Emission Source Inversion in Industrial Parks Based on Aermod and POA-BP Neural Networks
“In the field of CO2 emissions research in industrial parks, experts have established inversion models based on the AERMOD system and optimization algorithms, achieving precise positioning of CO2 emission sources and providing decision support for addressing climate change.”
Southern Power System TechnologyVol. 19, Issue 4, Pages: 196-206(2025)
作者机构:
1.国网湖北省电力有限公司经济技术研究院, 武汉 430000
2.新能源及电网装备安全监测湖北省工程研究中心(湖北工业大学), 武汉 430068
3.国网湖北省电力有限公司, 武汉 430000
4.湖北碳排放权交易中心, 武汉 430000
作者简介:
基金信息:
the National Natural Science Foundation of China(52107145)
WANG Yingxiang,DENG Guangyu,DU Zhi,et al.CO2 Emission Source Inversion in Industrial Parks Based on Aermod and POA-BP Neural Networks[J].Southern Power System Technology,2025,19(04):196-206.
WANG Yingxiang,DENG Guangyu,DU Zhi,et al.CO2 Emission Source Inversion in Industrial Parks Based on Aermod and POA-BP Neural Networks[J].Southern Power System Technology,2025,19(04):196-206. DOI: 10.13648/j.cnki.issn1674-0629.2025.04.016.
CO2 Emission Source Inversion in Industrial Parks Based on Aermod and POA-BP Neural Networks