Hydrology and Watershed Management Studies

Review of ten catchment models in New Zealand shows strong capacity for ecological climate change simulation but substantial gaps in representing economic and cultural social-system impacts.

Peru faces extreme hydrological asymmetry with 66% of population in water-scarce Pacific basin but only 2% of renewable resources. Analysis reveals governance gaps, unsustainable groundwater.

Graph neural network framework for assessing flood vulnerability in river basins. Identifies high-risk segments and flood-prone sub-basins by combining hydrological attributes with network topology.

Review of Earth Observation data capabilities for enhancing riverine flood monitoring and forecasting systems, analyzing accuracy, latency, and assimilation constraints.

Synthesis of forest hydrological research in China examining ecohydrological processes, ecosystem service trade-offs, and management implications of large-scale forestation programs.

Global sensitivity analysis with deep learning identifies river stage dynamics as primary control on dissolved oxygen in riparian aquifers, with implications for subsurface redox prediction.

Integrated water quality modeling approach using bankruptcy rules and particle swarm optimization for equitable pollution load allocation in a semiarid mountainous river system.

CMIP6 climate models project intensified precipitation extremes in the Kosi Basin, with 47-79% increases in rainfall by 2100, critical for flood risk management and water resource planning.

Integrated sensitivity-optimisation framework for calibrating hydrodynamic and water-quality models applied to the Nile River using Brute-Force analysis and Dual-Annealing optimisation.

Framework for autonomous inference of bucket-type conceptual hydrological models using physics-embedded machine learning, demonstrating improved predictive performance and physical coherence.

Mega-flood impact on Murray-Darling Basin water quality: analysis of nutrient dynamics, hysteresis patterns, and climate-driven flood risks across spatial gradients.

Study reveals how forecasting systems and drought management plans enable European institutions to respond 1-2 months earlier during droughts, with higher effectiveness ratings across 30 countries.

Scenario-based assessment of Nekarood Watershed health under climate change using SWAT modeling and reliability-resilience-vulnerability framework across SSP scenarios.

Four years of continuous sewer hydraulic and water quality data from Austria with precipitation records and hydrodynamic model for combined sewer system analysis and pollutant transport research

SWAT modeling synthesizes 143 studies on land use and climate impacts in developing agricultural watersheds, revealing urbanization effects on water quality and effectiveness of combined.

SnowModel simulations project increased rain-on-snow events in the upper Gallatin River watershed, with significant hydrologic implications for streamflow and aquatic ecosystems under future.

Hydrologic impact assessment of projected land cover changes in Cijangkelok Watershed using ANN-based spatial prediction and HEC-HMS design flood simulation.

Analysis of how information quantity and quality in training data affect machine learning prediction accuracy for hydrological variables, using information theory and mechanistic model integration.

SWAT-based hydrological framework optimizing soil and water conservation practices for watershed saturation and water availability in semi-arid regions through ridge-to-valley spatial planning.

Optimize urban flood mitigation using Pareto optimization for distributed small-scale reservoirs. Balance cost and flood reduction effectively.