Interpretable multi-step hybrid deep learning model for karst spring discharge prediction: Integrating temporal fusion transformers with ensemble empirical mode …
Karst groundwater is a critical freshwater resource for numerous regions worldwide.
Monitoring and predicting karst spring discharge is essential for effective groundwater …
Monitoring and predicting karst spring discharge is essential for effective groundwater …
[HTML][HTML] A fully connected neural network (FCNN) model to simulate karst spring flowrates in the Umbria region (Central Italy)
In the last decades, climate change has led to increasingly frequent drought events within
the Mediterranean area, creating an urgent need of a more sustainable management of …
the Mediterranean area, creating an urgent need of a more sustainable management of …
Long-term prediction for karst spring discharge and petroleum substances concentration based on the combination of LSTM and Transformer models
F Jiang, Q Li, G Sun, Q Wu, S Liu, K Jiqin, R Wang… - Water Research, 2025 - Elsevier
Monitoring the quantity and quality of karst springs is essential for groundwater resource
management. However, it is challenging to robustly forecast the karst spring discharge and …
management. However, it is challenging to robustly forecast the karst spring discharge and …
Comparative performance assessment of physical-based and data-driven machine-Learning models for simulating streamflow: a case study in three catchments …
Recent developments in computational techniques and data-driven machine-learning
models (MLMs) have shown great potential in capturing the rainfall-runoff relationship …
models (MLMs) have shown great potential in capturing the rainfall-runoff relationship …
Hybrid Multivariate Machine Learning Models for Streamflow Forecasting: A Two-Stage Decomposition–Reconstruction Framework
Robust and accurate streamflow forecasting holds significant importance for flood mitigation,
drought warning and water resource management. On account of the intricate nonlinear and …
drought warning and water resource management. On account of the intricate nonlinear and …
[HTML][HTML] Assessing the long-term trend of spring discharge in a climate change hotspot area
T Casati, A Navarra, M Filippini, A Gargini - Science of the Total …, 2024 - Elsevier
Global climate change is expected to have a significant impact on the water cycle. Extensive
studies have been performed on the impact on atmospheric and surface branches of the …
studies have been performed on the impact on atmospheric and surface branches of the …
A hybrid self-adaptive DWT-WaveNet-LSTM deep learning architecture for karst spring forecasting
Karst spring discharge plays a vital role in understanding karst systems and managing karst
groundwater resources. Due to its inherent heterogeneity and complexity, hydrological …
groundwater resources. Due to its inherent heterogeneity and complexity, hydrological …
Numerical modeling the impacts of increasing groundwater pumping upon discharge decline of the BL Spring located in Xilin Gol League in east inner Mongolia …
H Xiao, Y Yang, Q Liu, Y Zang, X Lian, F Xia… - Frontiers in …, 2024 - frontiersin.org
Spring discharge decline induced by increasing groundwater pumping under the
background of increasing water demand for agricultural, industrial, and domestic utilizations …
background of increasing water demand for agricultural, industrial, and domestic utilizations …