A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission

M Durand, CJ Gleason, TM Pavelsky… - Water Resources …, 2023 - Wiley Online Library
Abstract The Surface Water and Ocean Topography (SWOT) mission will vastly expand
measurements of global rivers, providing critical new data sets for both gaged and ungaged …

[HTML][HTML] A flood inundation forecast of Hurricane Harvey using a continental-scale 2D hydrodynamic model

OEJ Wing, CC Sampson, PD Bates, N Quinn… - Journal of Hydrology …, 2019 - Elsevier
Forecasts of tropical cyclones have seen rapid improvements in recent years as expanding
computational capacity permits more runs of finer resolution meteorological models with …

[HTML][HTML] Can regional to continental river hydrodynamic models be locally relevant? A cross-scale comparison

A Fleischmann, R Paiva, W Collischonn - Journal of Hydrology X, 2019 - Elsevier
Regional to global river hydrodynamic models are now a reality, and have largely improved
in the recent years due to increasing computation power, remote sensing datasets and new …

Hybrid hydrological data-driven approach for daily streamflow forecasting

M Ghaith, A Siam, Z Li… - Journal of Hydrologic …, 2020 - ascelibrary.org
Hydrological forecasting is key for water resources allocation and flood risk management.
Although a number of advanced hydrological forecasting methods have been developed in …

Simulating historical flood events at the continental-scale: observational validation of a large-scale hydrodynamic model

OEJ Wing, AM Smith, ML Marston… - … Hazards and Earth …, 2020 - nhess.copernicus.org
Continental–global scale flood hazard models simulate design floods: theoretical flood
events of a given probability. Since they output phenomena unobservable in reality, large …

[HTML][HTML] Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed

A Elsayed, S Rixon, J Levison, A Binns… - Journal of Environmental …, 2024 - Elsevier
Prediction and quantification of nutrient concentrations in surface water has gained
substantial attention during recent decades because excess nutrients released from …

Remote-sensing-based streamflow forecasting using artificial neural network and support vector machine models

MM Alquraish, M Khadr - Remote Sensing, 2021 - mdpi.com
In this study, we aimed to investigate the hydrological performance of three gridded
precipitation products—CHIRPS, RFE, and TRMM3B42V7—in monthly streamflow …

Evaluating precipitation, streamflow, and inundation forecasting skills during extreme weather events: A case study for an urban watershed

X Li, C Rankin, S Gangrade, G Zhao, K Lander… - Journal of …, 2021 - Elsevier
Integrated forecasting systems for precipitation, streamflow, and floodplain inundation are of
critical importance in mitigating the impacts of destructive floods caused by extreme weather …

Identification of combined hydrological models and numerical weather predictions for enhanced flood forecasting in a semiurban watershed

FS Awol, P Coulibaly, I Tsanis - Journal of Hydrologic Engineering, 2021 - ascelibrary.org
Flood forecasting in urban and semiurban catchments is often limited by the capability of the
combined hydrological models and forecast inputs to predict floods accurately. The objective …

[HTML][HTML] Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants

A Elsayed, M Ghaith, A Yosri, Z Li… - Journal of Environmental …, 2024 - Elsevier
Continuous effluent quality prediction in wastewater treatment processes is crucial to
proactively reduce the risks to the environment and human health. However, wastewater …