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 …
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
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 …
general circulation models (GCMs) is expected to significantly affect hydrological processes …
Modeling of phosphorus loss from field to watershed: A review
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 …
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
Ensemble approaches can be a quick way to improve hydrological prediction accuracy by
considering multiple plausible modeling representations of a system. Previous studies …
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 …
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 …
calibrated streamflow simulations of SWAT-hillslope model (SWAT-HS), which is a semi …
Watershed model parameter estimation in low data environments
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; …
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 …
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
Wetland hydrology differs by landscapes and thus a modeling structure that best
characterize wetland hydrological processes may vary. However, structural uncertainty of …
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 …
growth stages. However, because of climate and weather variability, phenological stages …