Applications of the SWAT model for coastal watersheds: review and recommendations

P Upadhyay, A Linhoss, C Kelble, S Ashby… - Journal of the …, 2022 - elibrary.asabe.org
Highlights A systematic review was performed of SWAT applications in coastal watersheds.
Three percent of SWAT applications have occurred in coastal watersheds. SWAT performed …

A modified Jarvis model to improve the expressing of stomatal response in a beech forest

W Shao, M Li, Y Su, H Gao, L Vlček - Hydrological Processes, 2023 - Wiley Online Library
The Jarvis‐type model, which incorporates stress functions, is commonly used to describe
the physiological behaviour of stomatal response in various vegetation species. However …

Evaluating SWAT model performance for runoff, percolation, and sediment loss estimation in low-gradient watersheds of the Atlantic coastal plain

KL Mapes, NG Pricope - Hydrology, 2020 - mdpi.com
With predicted alterations in climate and land use, managing water resources is of the
utmost importance, especially in areas such as the United States (US) Coastal Plain where …

An ensemble decomposition-based artificial intelligence approach for daily streamflow prediction

M Rezaie-Balf, S Fani Nowbandegani, SZ Samadi… - Water, 2019 - mdpi.com
Accurate prediction of daily streamflow plays an essential role in various applications of
water resources engineering, such as flood mitigation and urban and agricultural planning …

Variational Bayesian dropout with a Gaussian prior for recurrent neural networks application in rainfall–runoff modeling

SS Tabas, S Samadi - Environmental Research Letters, 2022 - iopscience.iop.org
Recurrent neural networks (RNNs) are a class of artificial neural networks capable of
learning complicated nonlinear relationships and functions from a set of data. Catchment …

Bayesian model averaging with fixed and flexible priors: Theory, concepts, and calibration experiments for rainfall‐runoff modeling

S Samadi, M Pourreza‐Bilondi, C Wilson… - Journal of Advances …, 2020 - Wiley Online Library
This paper introduces for the first time the concept of Bayesian model averaging (BMA) with
multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model …

Reduce uncertainty in soil hydrological modeling: A comparison of soil hydraulic parameters generated by random sampling and pedotransfer function

W Shao, S Chen, Y Su, J Dong, J Ni, Z Yang… - Journal of Hydrology, 2023 - Elsevier
Numerical simulation of unsaturated soil hydrology relies on calibrated soil hydraulic
parameters, which are subject to uncertainty due to imperfect information during the inverse …

Trade-offs between parameter constraints and model realism: a case study

FU Jehn, A Chamorro, T Houska, L Breuer - Scientific reports, 2019 - nature.com
Tightly constraint parameter ranges are seen as an important goal in constructing
hydrological models, a difficult task in complex models. However, many studies show that …

Evaluation of Spatial-Temporal Variation of Soil Loss and Best Conservation Measures in an East Africa Catchment

MB Hailu, SK Mishra, SK Jain - Sustainability, 2023 - mdpi.com
Soil conservation (SC) is essential to maintain the reservoir service life and increase the
yield since soil erosion is a major global concern that adversely affects not only the storage …

Estimating hydrologic model uncertainty in the presence of complex residual error structures

S Samadi, DL Tufford, GJ Carbone - Stochastic Environmental Research …, 2018 - Springer
Hydrologic models provide a comprehensive tool to estimate streamflow response to
environmental variables. Yet, an incomplete understanding of physical processes and …