Long‐range precipitation forecast based on multipole and preceding fluctuations of sea surface temperature

X Wu, S Guo, S Qian, Z Wang, C Lai… - International Journal of …, 2022 - Wiley Online Library
Long-range precipitation forecasting is crucial for flooding control and water resources
management. However, making precise forecasting is rather difficult due to the complex …

[HTML][HTML] Sub-daily precipitation-streamflow modelling of the karst-dominated basin using an improved grid-based distributed Xinanjiang hydrological model

W Yang, L Chen, X Chen, H Chen - Journal of Hydrology: Regional Studies, 2022 - Elsevier
Study region Hekou karst basin, southwestern China. Study focus The duality and
complexity of hydrological behavior of karst systems pose challenges in precipitation …

Assessment of the relative impacts of climate changes and anthropogenic forcing on spring discharge of a Mediterranean karst system

V Sivelle, H Jourde, D Bittner, N Mazzilli, Y Tramblay - Journal of Hydrology, 2021 - Elsevier
The Mediterranean region is a climate change hotspot where the rate of climate change
exceeds the global mean. The rapidly changing climate in combination with an increase in …

The water resources of Lebanon-A review to support water security

M Merheb, R Moussa, C Abdallah, J Halwani… - … of the Earth, Parts A/B/C, 2024 - Elsevier
This work reviewed a large and fragmented body of academic and grey literature on water
resources in Lebanon. The objective was to assess and curate the existing knowledge base …

Linear and nonlinear ensemble deep learning models for karst spring discharge forecasting

R Zhou, Y Zhang - Journal of Hydrology, 2023 - Elsevier
Forecasting karst spring discharge is crucial for groundwater resource management in karst
aquifers. These aquifers, with their inherent heterogeneity and complexity influenced by a …

Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions

G Cinkus, A Wunsch, N Mazzilli… - Hydrology and Earth …, 2022 - hess.copernicus.org
Hydrological models are widely used to characterise, understand and manage
hydrosystems. Data-driven models are of particular interest in karst environments given the …

Evaluating climate change impacts on snow cover and karst spring discharge in a data-scarce region: a case study of Iran

N Zeydalinejad, A Pour-Beyranvand, HR Nassery… - Acta Geophysica, 2024 - Springer
The incremental impacts of climate change on elements within the water cycle are a growing
concern. Intricate karst aquifers have received limited attention concerning climate change …

Reducing uncertainty of karst aquifer modeling with complementary hydrological observations for the sustainable management of groundwater resources

Y Cousquer, H Jourde - Journal of Hydrology, 2022 - Elsevier
A quantitative estimation of the sustainability of groundwater resources is a challenge for
water supply in most regions of the world. Sustainability can be estimated through numerical …

Distributed rainfall-runoff simulation for a large-scale karst catchment by incorporating landform and topography into the DDRM model parameters

S Chen, L Xiong, L Zeng, JS Kim, Q Zhang, C Jiang - Journal of Hydrology, 2022 - Elsevier
Runoff movement in karst catchments is of great complexity. Although many models have
been developed for the rainfall-runoff simulation in karst catchments, the distributed ones …

[HTML][HTML] Karst spring recession and classification: efficient, automated methods for both fast-and slow-flow components

T Olarinoye, T Gleeson… - Hydrology and Earth …, 2022 - hess.copernicus.org
Abstract Analysis of karst spring recession hydrographs is essential for determining
hydraulic parameters, geometric characteristics, and transfer mechanisms that describe the …