A review of catchment-scale water quality and erosion models and a synthesis of future prospects

B Fu, WS Merritt, BFW Croke, TR Weber… - … modelling & software, 2019 - Elsevier
Catchment-scale water quality models have become important tools for water quality
management, planning and reporting worldwide. In this review, we synthesise recent …

AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems

RA Park, JS Clough, MC Wellman - Ecological Modelling, 2008 - Elsevier
AQUATOX combines aquatic ecosystem, chemical fate, and ecotoxicological constructs to
obtain a truly integrative fate and effects model. It is a general, mechanistic ecological risk …

WASP 8: The next generation in the 50-year evolution of USEPA's water quality model

T Wool, RB Ambrose Jr, JL Martin, A Comer - Water, 2020 - mdpi.com
The Water Quality Analysis Simulation Program (WASP) helps users interpret and predict
water quality responses to natural phenomena and manmade pollution for various pollution …

Application of automated QUAL2Kw for water quality modeling and management in the Bagmati River, Nepal

PR Kannel, S Lee, YS Lee, SR Kanel, GJ Pelletier - Ecological modelling, 2007 - Elsevier
The Bagmati River in Kathmandu Valley (Nepal) receives seven major polluted tributaries.
Discharges of wastewaters containing degradable organics and nutrients have resulted in …

[HTML][HTML] Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)

AAM Ahmed - Journal of King Saud University-Engineering Sciences, 2017 - Elsevier
The objective of this study is to develop a feed forward neural network (FFNN) model and a
radial basis function neural network (RBFNN) model to predict the dissolved oxygen from …

Sediment and nutrient modeling for TMDL development and implementation

DK Borah, G Yagow, A Saleh, PL Barnes… - Transactions of the …, 2006 - elibrary.asabe.org
At present, there are over 34,000 impaired waters and over 58,000 associated impairments
officially listed in theU. S. Nutrients and sediment are two of the most common pollutants …

An innovative modeling approach using Qual2K and HEC-RAS integration to assess the impact of tidal effect on River Water quality simulation

C Fan, CH Ko, WS Wang - Journal of environmental management, 2009 - Elsevier
Water quality modeling has been shown to be a useful tool in strategic water quality
management. The present study combines the Qual2K model with the HEC-RAS model to …

A review of public domain water quality models for simulating dissolved oxygen in rivers and streams

PR Kannel, SR Kanel, S Lee, YS Lee… - Environmental Modeling & …, 2011 - Springer
The review discusses six major public domain water quality models currently available for
rivers and streams. These major models, which differ greatly in terms of processes they …

The integration of nature-inspired algorithms with least square support vector regression models: application to modeling river dissolved oxygen concentration

ZM Yaseen, M Ehteram, A Sharafati, S Shahid… - Water, 2018 - mdpi.com
The current study investigates an improved version of Least Square Support Vector
Machines integrated with a Bat Algorithm (LSSVM-BA) for modeling the dissolved oxygen …

[HTML][HTML] Predicting river water quality: an imposing engagement between machine learning and the QUAL2Kw models (case study: Aji-Chai, river, Iran)

J Sarafaraz, FA Kaleybar, JM Karamjavan… - Results in …, 2024 - Elsevier
Rivers play an essential role in supplying high-quality water to diverse sectors.
Understanding water quality indicators and systematic monitoring is crucial for water …