[HTML][HTML] Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation

S Asadi, P Jimeno-Sáez, A López-Ballesteros… - Results in …, 2024 - Elsevier
Precise streamflow forecasting in river systems is crucial for water resources management
and flood risk assessment. The Tagus Headwaters River Basin (THRB) in Spain is a key …

Response of climate change and land use land cover change on catchment-scale water balance components: a multi-site calibration approach

SB Kumar, A Mishra, SS Dash - Journal of Water and Climate …, 2024 - iwaponline.com
The present study focused on evaluating the separate and combined response of land use
land cover and climate change (CC) on future water balance components of a …

Monthly runoff prediction using gated recurrent unit neural network based on variational modal decomposition and optimized by whale optimization algorithm

W Wang, B Wang, K Chau, Y Zhao, H Zang… - Environmental Earth …, 2024 - Springer
To further increase the forecast precision of non-stationary non-linear monthly runoff series
and improve the effectiveness of pretreatment of monthly runoff series, the whale …

[HTML][HTML] Assessing long-term water storage dynamics in Afghanistan: An integrated approach using machine learning, hydrological models, and remote sensing

AH Azizi, F Akhtar, B Tischbein, C Borgemeister… - Journal of …, 2024 - Elsevier
Abstract Assessment of Terrestrial Water Storage (TWS) components is crucial for
understanding regional climate and water resources, particularly in arid and semi-arid …

Suspended sediment load prediction in river systems via shuffled frog-lea** algorithm and neural network

OM Katipoğlu, G Aktürk, HÇ Kılınç, ZÖ Terzioğlu… - Earth Science …, 2024 - Springer
Suspended sediment load estimation is vital for the development of river initiatives, water
resources management, the ecological health of rivers, determination of the economic life of …

[HTML][HTML] Analysis of recent decade rainfall data with new exponential-exponential distribution: Inference and applications

H Alrweili - Alexandria Engineering Journal, 2024 - Elsevier
This study introduces the New Exponential-Exponential Distribution (NEED) within the
broader New Exponential-Generating (NE-G) family of distributions, targeting enhancements …

Simulating the climate change effects on the Karaj Dam basin: hydrological behavior and runoff

MS Nasirabadi, A Khosrojerdi… - Journal of Water and …, 2024 - iwaponline.com
This study has used Coupled Model Intercomparison Project Phase 5 (CMIP5) and Coupled
Model Intercomparison Project Phase 6 (CMIP6). Hence, the runoff simulation was done in …

Intercomparison of sediment transport curve and novel deep learning techniques in simulating sediment transport in the Wadi Mina Basin, Algeria

M Achite, OM Katipoğlu, N Elshaboury, T Tuğrul… - Environmental Earth …, 2025 - Springer
The accurate estimation of sediment discharge is crucial for the design and operation of
engineering structures such as dams, water treatment facilities, and erosion control systems …

Assessment of low impact development (LID) strategies under different land uses in an urban sub-catchment in the Philippines

CGK Boongaling, JB Sevilla-Nastor… - Journal of …, 2024 - Elsevier
Lack of studies in develo** countries with tropical climate such as the Philippines limit
local LID adoption. This study compared the performance of different LID scenarios across …

[HTML][HTML] Incorporating long-term numerical weather forecasts to quantify dynamic vulnerability of irrigation supply system: A case study of Shihmen Reservoir in …

CC Hsu, YP Lin - Agricultural Water Management, 2024 - Elsevier
Effective water resource management necessitates a comprehensive understanding of
water supply and demand, as well as precise assessments of their balance. This is …