A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model
Groundwater level prediction is critical for environmental protection and agricultural planning. Accurate predictions help manage risks associated with excessive groundwater extraction and land subsidence. This study introduces a novel model combining multivariate variational mode decomposition (MVM...
Saved in:
| Main Authors: | Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, Hanieh Shabanian |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024015044 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model
by: Sharareh Pourebrahim, et al.
Published: (2024-12-01) -
ROTOR FAULT FEATURE EXTRACTION METHOD USING MVMD AND IEDPE (MT)
by: WU YaoChun, et al.
Published: (2023-01-01) -
Integrating groundwater pumping data with regression-enhanced random forest models to improve groundwater monitoring and management in a coastal region
by: Jamie Kim, et al.
Published: (2024-12-01) -
Estimating of Groundwater Recharge in North, Central, and South Basin of Erbil
by: Mustafa Jwan Sabah, et al.
Published: (2023-03-01) -
GEAR FAULT IDENTIFICATION OF RVM BASED ON LCD BASE-SCALE ENTROPY
by: CHEN Qing
Published: (2019-01-01)