Engineering Commons^™

Predicting Water Quality Using Quantum Machine Learning: The Case Of The Umgeni Catchment (U20a) Study Region, Jamal Al-Karaki, Muhammad Al Zafar Khan, Amjad Gawanmeh, Marwan Omar

All Works

The assessment of water quality has become increasingly vital for maintaining the ecological balance and ensuring public safety across global water systems. This study examines the application of Quantum Machine Learning (QML) techniques in a real-world setting to predict water quality in the U20A region of the Umgeni Catchment, Durban, South Africa. We implemented the Quantum Support Vector Classifier (QSVC) and Quantum Neural Network (QNN) on a field-collected dataset. Our results demonstrate that the QSVC is more practical to implement and yields superior performance, achieving 75 % accuracy with polynomial and radial basis function kernels. In contrast, the QNN encountered …

The Newgeneratortm Decentralized Wastewater Treatment System For Non-Sewered Sanitation: Technology Advancement Through Field Evaluation And Modeling, Hsiang-Yang Shyu

USF Tampa Graduate Theses and Dissertations

Non-sewered sanitation systems (NSSS) offer innovative solutions to sanitation challenges in areas lacking basic facilities, utilizing advanced treatment technologies for on-site water reuse. The NEWgenerator (NG), an advanced NSSS developed at the University of South Florida under the Bill & Melinda Gates Foundation’s Reinventing the Toilet Challenge, integrates an anaerobic membrane bioreactor (AnMBR), an ion exchange-based nutrient capture system (NCS), and an electrochlorinator for final disinfection. This study builds on previous field trials of the NG system, focusing on developing, evaluating, and optimizing its water reuse capabilities through field trials, system dynamics modeling, and advanced monitoring techniques.

In the first …

Assessing The Social, Economic, And Environmental Impacts Of A Multifunctional Crop: The Case Of Moringa Oleifera, Yoel Gebrai

USF Tampa Graduate Theses and Dissertations

Multifunctional crops have the potential to support societal goals toward more sustainable production of food, feed, and fuel. The production and processing of multifunctional crops, with their numerous uses and coproducts, is accompanied by social, economic, and environmental impacts that need to be systematically evaluated to avoid unintended consequences from widespread adoption. Complexity emerges in the presence of multifunctionality, and counterintuitive system responses can occur. As a result, this dissertation has sought to enhance and apply frameworks to assess multifunctional crop sustainability holistically. Systems thinking and life cycle approaches are applied to a multifunctional crop case study, Moringa oleifera (MO). …

Study Of Synthesis Of Biodegradable Plastics From Alkaline Fermented Excessive Activated Sludge, Yaohui Liu, Chua Hong

Faculty of Science & Technology (THEi)

The environmental problems associated with plastics have become increasingly severe in recent years. Technologically and economically feasible solutions are in urgent need in order to ensure sustainable development in the plastic industry. Polyhydroxyalkanoates (PHAs) are a family of specialized polyesters of hydroxyalkanoates (HAs) and can be completely degraded in natural environment. They can be synthesized naturally or under artificially controlled processes. The barrier of limiting the application of PHAs is the high production cost. From years of study, PHAs are proofed to be able to be accumulated within the bacterial cells in activated sludge and the production yield had been …

Computational Thinking And Literacy, Sharin Rawhiya Jacob, Mark Warschauer

Journal of Computer Science Integration

Today’s students will enter a workforce that is powerfully shaped by computing. To be successful in a changing economy, students must learn to think algorithmically and computationally, to solve problems with varying levels of abstraction. These computational thinking skills have become so integrated into social function as to represent fundamental literacies. However, computer science has not been widely taught in K-12 schools. Efforts to create computer science standards and frameworks have yet to make their way into mandated course requirements. Despite a plethora of research on digital literacies, research on the role of computational thinking in the literature is sparse. …

Development Of Statistical Models For Predicting Leachate Parameters From Simulated Landfills, Arpita Hetal Bhatt

Civil Engineering Dissertations - Archive

Leachate generation and management is recognized as one of the greatest problems associated with environmentally sound operation of landfills, as leachate can cause major pollution problems to surrounding soil, ground water, and surface waters. There are many landfills, especially in developing parts of the world like India, Bangladesh, Africa, and Latin America, where open dump systems are used for final disposal of solid waste rather than engineered landfills. In the near future, regulations in developing countries will likely require installation of liner systems, leachate collection systems, and treatment operations. A major requirement for successful leachate treatment is quantifying its typical …