![]() |
An investigation and forecast on CO2 emission of China: Case studies of Beijing and Tianjin
Lei Wen, Zeyang Ma, Yue Li, Qiao Li
Environmental Engineering Research. 2017;22(4):407-416. Published online 2017 Jun 20 DOI: https://doi.org/10.4491/eer.2017.023
|
Citations to this article as recorded by
Three-dimensional spatiotemporal variability of CO2 in suburban and urban areas of Shaoxing City in the Yangtze River Delta, China
Zhentao Wu, Xiaobing Pang, Bo Xing, Gaosheng Zhao, Songhua Sun, Kaibin Yuan, Youhao Lu, Qianqian Sun, Qianqian Shang, Yu Lu, Yan Lyu, Dongzhi Chen
Science of The Total Environment.2023; 881: 163501. CrossRef Probing the carbon emissions in 30 regions of China based on symbolic regression and Tapio decoupling
Haiying Liu, Zhiqun Zhang
Environmental Science and Pollution Research.2022; 29(2): 2650. CrossRef Analysis of influencing factors of energy consumption in rural Henan based on symbolic regression method and Tapio model
Peng Li, Chunzheng Tian, Zhiqun Zhang, Meng Li, Yongle Zheng
Energy Sources, Part A: Recovery, Utilization, and.2021; 43(2): 160. CrossRef Dust impact on concentrated solar power: A review
Kacem Zereg, Amor Gama, Mounir Aksas, Neelam Rathore, Fatiha Yettou, Narayan Lal Panwar
Environmental Engineering Research.2021; 27(6): 210345. CrossRef Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm
Menglu Li, Wei Wang, Gejirifu De, Xionghua Ji, Zhongfu Tan
Energies.2018; 11(9): 2475. CrossRef
|