SWAT model applications: From hydrological processes to ecosystem services

J Zhao, N Zhang, Z Liu, Q Zhang, C Shang - Science of The Total …, 2024 - Elsevier
Ecosystem services in bolstering human well-being and steering environmental
management garnered increasing recognition. In this realm, the Soil and Water Assessment …

[HTML][HTML] Assessing the vulnerability of water resources in the context of climate changes in a small forested watershed using SWAT: A review

M Marin, I Clinciu, NC Tudose, C Ungurean… - Environmental …, 2020 - Elsevier
The present study evaluates the applicability performance of the Soil and Water Assessment
Tool (SWAT) in small forested watersheds (less than 1000 km 2). This open-source software …

A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds

SS Baek, M Ligaray, J Pyo, JP Park, JH Kang… - Journal of …, 2020 - Elsevier
The rapid increase of impervious area and climate change greatly affect the hydrological,
environmental, and ecological system at the local, regional, and global scales. These …

[HTML][HTML] Enhancing flow rate prediction of the Chao Phraya River Basin using SWAT–LSTM model coupling

K Phetanan, SM Hong, D Yun, J Lee… - Journal of Hydrology …, 2024 - Elsevier
Abstract Study region Chao Phraya River Basin—a major river with unique characteristics
located in Thailand. Study focus This study sought to simulate the flow rates in the Chao …

Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States

A Walega, DM Amatya, P Caldwell, D Marion… - Journal of Hydrology …, 2020 - Elsevier
Abstract Study region Southeastern United States Study focus The objective was to evaluate
the ability of two modified SCS-CN models to predict direct runoff (DRO) and peak discharge …

Hydrologic connectivity between geographically isolated wetlands and surface water systems: A review of select modeling methods

HE Golden, CR Lane, DM Amatya, KW Bandilla… - … Modelling & Software, 2014 - Elsevier
Geographically isolated wetlands (GIW), depressional landscape features entirely
surrounded by upland areas, provide a wide range of ecological functions and ecosystem …

Improving the representation of forests in hydrological models

H Haas, NGF Reaver, R Karki, L Kalin… - Science of The Total …, 2022 - Elsevier
Forests play a critical role in the hydrologic cycle, impacting the surface and groundwater
dynamics of watersheds through transpiration, interception, shading, and modification of the …

A framework for propagation of uncertainty contributed by parameterization, input data, model structure, and calibration/validation data in watershed modeling

H Yen, X Wang, DG Fontane, RD Harmel… - … Modelling & Software, 2014 - Elsevier
Failure to consider major sources of uncertainty may bias model predictions in simulating
watershed behavior. A framework entitled the Integrated Parameter Estimation and …

An end‐to‐end flood stage prediction system using deep neural networks

L Windheuser, R Karanjit, R Pally… - Earth and Space …, 2023 - Wiley Online Library
The use of automated methods for detecting and classifying different types of labels in flood
images have important applications in hydrologic prediction. In this research, we propose a …

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 …