Optimizing Water Reuse: Integrating Computer-Aided Greywater Treatment Systems with Decision Support Techniques for Enhanced Dissolved Oxygen and Turbidity Evaluation

Abstract

This paper presents a comprehensive approach to the design, implementation, and optimization of a robust, cost-effective, and sustainable Grey Water system. Through the utilization of advanced sensing technologies, the system meticulously monitors and analyzes a diverse array of water parameters, including Water Flow, Pressure, Temperature, Turbidity, Conductivity, and Dissolved Oxygen. Emphasizing the critical importance of optimized greywater management, the study integrates methodologies aimed at reducing Clean Water usage, thereby contributing to overall water conservation efforts.

Prior to system deployment, extensive simulation, modeling, and analysis were conducted to develop efficient and low-energy grey water treatment prototypes. A significant emphasis of this research lies in the integration of Decision Support Techniques tailored to evaluate key parameters such as Dissolved Oxygen and Turbidity. By leveraging advanced computational methodologies, the system enables real-time monitoring and informed decision-making, enhancing the overall efficiency and effectiveness of greywater treatment processes.

This research addresses pressing global challenges including climate change adaptation, food security, and environmental pollutant mitigation by exploring the vast potential of greywater reuse. While scrutinizing health and environmental perspectives, particular attention is given to the presence of microorganisms and xenobiotic organic compounds (XOCs) within greywater streams. Moreover, the study underscores the multifaceted benefits of greywater reuse, ranging from toilet flushing to irrigation, with the potential to significantly reduce household water consumption by up to 30%.

In response to the imperative to mitigate groundwater contamination risks, the research proposes innovative treatment strategies at the household level. By merging environmental consciousness with technological innovation, this work contributes to the optimization of water resources in a world increasingly challenged by water scarcity. The pivotal role of computer science in result analysis and decision support underscores the interdisciplinary nature of this endeavor, offering promising avenues for sustainable water management practices globally.