Application of the complementary ensemble empirical mode decomposition for the identification of simulation model parameters and groundwater contaminant sources
Journal of Hydrology(2022)
摘要
•CEEMD was applied to the joint identification of simulation model parameters and GCSs information.•CEEMD had a significant noise reduction effect when used to denoise the observed concentrations.•The accuracy of the identification results improved when the noise-reduced observed concentrations were applied.
更多查看译文
关键词
CEEMD,Groundwater contamination,GCSs identification,Noise reduction,S/O
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要