Deterministic Analysis and Uncertainty Analysis of Ensemble Forecasting Model Based on Variational Mode Decomposition for Estimation of Monthly Groundwater Level

Deterministic Analysis and Uncertainty Analysis of Ensemble Forecasting Model Based on Variational Mode Decomposition for Estimation of Monthly Groundwater Level

Precise multi-time scales prediction of groundwater level is essential for water resources planning and management. However, credible and reliable predicting results are hard to achieve even to extensively applied artificial intelligence (AI) models considering the uncontrollable error, indefinite i...

Full description

Bibliographic Details
Main Authors: Min Wu, Qi Feng, Xiaohu Wen, Zhenliang Yin, Linshan Yang, Danrui Sheng
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Water
Subjects:
uncertainty analysis
groundwater level prediction
hybrid predictive model
variational mode decomposition
Boruta technique
extreme learning machine
Online Access:https://www.mdpi.com/2073-4441/13/2/139

Internet

https://www.mdpi.com/2073-4441/13/2/139

Similar Items