Research on oxygen transfer in an aerated flow with emergent vegetation

Y Bai, Y Xia, N Geng, Y Qi, D Huang, Y Zhao… - Journal of …, 2023 - Elsevier
In the case of increasingly serious river pollution worldwide, aeration in channels is an
effective way to solve water pollution. However, traditional aeration research is aimed mainly …

Decision Tree-Based Modeling of the Aeration Effectiveness of Circular Plunging Jets

D Puri, D Lee, DV Khankal, MS Thakur, FM Alfaisal… - ACS …, 2023 - ACS Publications
Since soft computing has gained a lot of attention in hydrological studies, this study focuses
on predicting aeration efficiency (E 20) using circular plunging jets employing soft computing …

Quantitative prediction of the hydraulic performance of free water surface constructed wetlands by integrating numerical simulation and machine learning

C Guo, D Wan, Y Li, Q Zhu, Y Luo, W Luo… - Journal of Environmental …, 2023 - Elsevier
Quantitative prediction of the design parameter-influenced hydraulic performance is
significant for optimizing free water surface constructed wetlands (FWS CWs) to reduce point …

More accurate prediction of oxygen transfer in water through Venturi flumes by data analysis, machine learning, and uncertainty investigation

NK Tiwari, D Panwar - Journal of Environmental Engineering, 2025 - ascelibrary.org
This study examines a Venturi flume's volumetric oxygen transfer coefficient (VFKL a) by
analyzing performance metrics and graphical assessment from conducting experiments …

Reliable Prediction of the Aeration Efficiency of Venturi Flumes Using Intelligent Approaches

D Panwar, NK Tiwari - Journal of Environmental Engineering, 2025 - ascelibrary.org
This research utilizes experimental data derived from various Venturi flume setups to assess
the Venturi flume aeration efficiency (VFAE 20). This evaluation encompasses dimensional …

Predicting buoyant jet characteristics: a machine learning approach

H Hassanzadeh, S Joshi, SM Taghavi - Chemical Product and …, 2024 - degruyter.com
We study positively buoyant miscible jets through high-speed imaging and planar laser-
induced fluorescence methods, and we rely on supervised machine learning techniques to …

Predictive models for prediction of broad crested gabion weir aeration performance

NK Tiwari, KM Luxmi, S Ranjan - Journal of Soft Computing in Civil …, 2023 - jsoftcivil.com
The gabion weirs serve the same functions that their counterpart impervious weirs do.
However, they have the advantage of being eco-friendly, more stable, and economical in …

Nonlinear ensemble techniques and reliability to estimate oxygen transfer efficiency of rectangular venturi flumes for free flow

D Panwar, NK Tiwari - ISH Journal of Hydraulic Engineering, 2024 - Taylor & Francis
In this study, we investigate assessing the oxygen transfer efficiency of a rectangular venturi
flume (VFOTF20), employing machine learning ensemble models. Our investigation …

Optimising Venturi flume oxygen transfer efficiency using uncertainty-aware decision trees

NK Tiwari, D Panwar - Water Science & Technology, 2024 - iwaponline.com
This study optimizes standard oxygen transfer efficiency (SOTE) in Venturi flumes
investigating the impact of key parameters such as discharge per unit width (q), throat width …

Assessment of Machine Learning Algorithms for Predicting Air Entrainment Rates in a Confined Plunging Liquid Jet Reactor

A Alazmi, BS Al-Anzi - Sustainability, 2023 - mdpi.com
A confined plunging liquid jet reactor (CPLJR) is an unconventional efficient and feasible
aerator, mixer and brine dispenser that operates under many operating conditions. Such …