Comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models

MB Wagena, D Goering, AS Collick, E Bock… - … Modelling & Software, 2020 - Elsevier
Streamflow forecasts are essential for water resources management. Although there are
many methods for forecasting streamflow, real-time forecasts remain challenging. This study …

Synergistic effect of drought and rainfall events of different patterns on watershed systems

J Qiu, Z Shen, G Leng, G Wei - Scientific reports, 2021 - nature.com
The increase in extreme climate events such as flooding and droughts predicted by the
general circulation models (GCMs) is expected to significantly affect hydrological processes …

Modeling of phosphorus loss from field to watershed: A review

Z Wang, T Zhang, CS Tan, Z Qi - Journal of Environmental …, 2020 - Wiley Online Library
Phosphorus (P) losses from nonpoint sources into surface water resources through surface
runoff and tile drainage play a significant role in eutrophication. Accordingly, the number of …

Multi-parameter approaches for improved ensemble prediction accuracy in hydrology and water quality modeling

S Shin, Y Her, R Muñoz-Carpena, YP Khare - Journal of Hydrology, 2023 - Elsevier
Ensemble approaches can be a quick way to improve hydrological prediction accuracy by
considering multiple plausible modeling representations of a system. Previous studies …

A robust integrated Bayesian multi-model uncertainty estimation framework (IBMUEF) for quantifying the uncertainty of hybrid meta-heuristic in global horizontal …

A Seifi, M Ehteram, M Dehghani - Energy Conversion and Management, 2021 - Elsevier
Accurate and stable prediction of global horizontal irradiation (GHI) is vital for managing
energy systems, irrigation planning, and also decision making for future investment. Existing …

Uncertainty analysis of streamflow simulations using multiple objective functions and Bayesian Model Averaging

M Moknatian, R Mukundan - Journal of Hydrology, 2023 - Elsevier
In this paper, multiple objective functions were used to conduct uncertainty analysis on
calibrated streamflow simulations of SWAT-hillslope model (SWAT-HS), which is a semi …

Watershed model parameter estimation in low data environments

RK Garna, DR Fuka, JW Faulkner, AS Collick… - Journal of Hydrology …, 2023 - Elsevier
Study region Three watersheds in the Lake Champlain Basin of Vermont, USA. Study focus
Watershed models are essential for evaluating the impact of watershed management; …

Multi-model ensemble simulated non-point source pollution based on Bayesian model averaging method and model uncertainty analysis

H Wang, K Lu, Y Zhao, J Zhang, J Hua, X Lin - Environmental Science and …, 2020 - Springer
Watershed models are cost-effective and powerful tools for evaluating and controlling non-
point source pollution (NPSP), while the reliability of watershed models in a management …

Use of multiple modules and Bayesian Model Averaging to assess structural uncertainty of catchment-scale wetland modeling in a Coastal Plain landscape

S Lee, H Yen, IY Yeo, GE Moglen, MC Rabenhorst… - Journal of …, 2020 - Elsevier
Wetland hydrology differs by landscapes and thus a modeling structure that best
characterize wetland hydrological processes may vary. However, structural uncertainty of …

[图书][B] Agronomic management of corn using seasonal climate predictions, remote sensing and crop simulation models

PK Jha - 2019 - search.proquest.com
Management decisions in corn (Zea mays mays L) production are usually based on specific
growth stages. However, because of climate and weather variability, phenological stages …