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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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
Geographically isolated wetlands (GIW), depressional landscape features entirely
surrounded by upland areas, provide a wide range of ecological functions and ecosystem …
surrounded by upland areas, provide a wide range of ecological functions and ecosystem …
Improving the representation of forests in hydrological models
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 …
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
Failure to consider major sources of uncertainty may bias model predictions in simulating
watershed behavior. A framework entitled the Integrated Parameter Estimation and …
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 …
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
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 …
learning complicated nonlinear relationships and functions from a set of data. Catchment …