About Project:
This project addresses the challenges in traditional water quality assessment methodologies, which often rely on static, time-invariant models. These methods can overlook the significance of randomness and contingency factors in water quality variations, leading to potential inaccuracies. To overcome this, the project proposes a Digital Twin-inspired Hybrid System (DTHS) that enables real-time water quality assessment. By employing sequential parametric values and real-time observational data, DTHS provides an advanced, reliable mechanism for accurately assessing water quality. The system has been implemented using data from a monitoring station in Chaheru, Phagwara, Punjab, to validate its effectiveness. The project offers a quantitative indication of water health risk, facilitating a better understanding of water quality dynamics and the impacts of pollution on human health.
Notable Achievements:
1. Achieved high prediction accuracy in water quality assessment with a score of 94.14%.
2. Demonstrated superior sensitivity (93.74%), specificity (91.47%), and f-measure (92.37%), underscoring the reliability of the DTHS framework.
3. Reduced computational delay, improving the system's efficiency in real-time applications.
4. Enhanced stability and reliability, proving its capability to provide timely and accurate water quality predictions.
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About Project:
This project focuses on the synthesis and functionalization of aerogels using natural, synthetic, and hybrid materials to improve wastewater treatment efficiency. By incorporating functional nanoparticles and employing chemical surface modifications, the aerogels' contaminant adsorption capabilities are significantly enhanced. The research investigates how various factors—including solution pH, initial adsorbate concentration, and adsorbent surface characteristics like pH value at zero charges and specific surface area—influence adsorption efficiency. The adsorption mechanism largely follows the Langmuir isotherm model and is governed by pseudo-second-order reaction kinetics, with chemisorption and ion exchange playing key roles. The project also explores the potential of using waste materials in aerogel production, aiming to reduce costs and boost sustainability.
Notable Achievements:
1. Successfully synthesized cellulose and graphene oxide-based aerogels with high efficacy in removing emerging pollutants from wastewater.
2. Demonstrated chemisorption and ion exchange as the primary mechanisms, with adsorption rates sensitive to pH and adsorbate concentration.
3. Showcased advanced surface engineering techniques to enhance aerogel adsorption properties and improve stability.
4. Proposed sustainable aerogel production methods using waste materials, contributing to cost reduction and environmental sustainability in wastewater treatment.
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About Project:
This project reviews current wastewater treatment technologies addressing the critical issue of water pollution due to population growth and unsustainable urbanization. As industrial, agricultural, and household waste streams contribute to contamination, it is essential to identify effective treatment methods for removing hazardous pollutants, including toxic heavy metals and non-biodegradable emerging contaminants (ECs). The study critically examines various physical, chemical, and biological wastewater treatment methods and their respective strengths and limitations. Additionally, contemporary trends and novel techniques, such as the use of MXenes, biomass, nano-sized metal oxides, and advanced membranes, are evaluated for their potential in wastewater treatment applications. The research highlights how adsorbent types (e.g., activated carbon, NMOs, and agricultural waste) can enhance pollutant removal based on variables like pH, temperature, and adsorbate concentration. The project aims to find optimal solutions that maximize efficiency, reduce costs, and support environmental sustainability by integrating traditional and advanced treatment methods.
Notable Achievements:
1. Conducted a comprehensive analysis of physical, chemical, and biological wastewater treatment methods, highlighting limitations and current trends.
2. Identified membrane filtration as a highly effective method due to its simplicity, low sludge production, and ability to produce stable treated water without chemical additives.
3. Showcased adsorption as an economical and versatile treatment technique, particularly effective against metal ions, dyes, and other pollutants.
4. Highlighted MXenes as promising 2D nanomaterials for wastewater treatment due to their high surface area and adsorption efficiency.
5. Proposed integrated treatment strategies combining conventional and advanced methods (e.g., biological treatment with adsorption) to improve pollutant removal efficiency across various wastewater types.
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