Dear all,
Information regarding this week's departmental seminars is given below.
Kind regards,
Date: 24.04.2024
Time: 15:40
Place: Online
Meeting Information:
Meeting ID: 243 409 547 179
Passcode: icBNmL
Application of Deep Learning in Modeling Anthropogenically-Impacted Rivers' Flowrate under Food-Water-Energy-Ecosystem Nexus Approach
Abstract: Modeling the flow rate of rivers that are significantly influenced by anthropogenic activities, is typically a struggle in the face of traditional hydrological models. Anthropogenic impacts on rivers cannot be adequately explained by meteorological data and river hydraulic features alone, particularly when human activities profoundly alter the natural flow and quality of water bodies. Addressing this gap, this research employs deep learning techniques to integrate socio-economic indicators with traditional hydrological data, providing a more comprehensive understanding of human impacts on river ecosystems.
The core innovation of this approach lies in the utilization of the Food-Water-Energy-Ecosystem
(FWEE) Nexus to guide the selection and integration of relevant socio-economic indicators. By incorporating these factors into a deep learning model, it will offer a robust method for predicting river flow rates over the long term in regions where anthropogenic activities are predominant drivers of hydrological change. This approach has been initially applied to a specific river system with varying levels of anthropogenic stress and metrological conditions, demonstrating improved accuracy over traditional models in predicting flow rates.
This research not only highlights the potential of deep learning methods in environmental modeling but also underscores the importance of integrating multiple dimensions of human activity into hydrological studies under the FWEE Nexus approach.
by: Abdelrahman Habash
Advisor: Dr. Emre Alp
Comparison Of Biogas Upgrading Technologies As A General Approach: An Upgrading Case Study With Msw Using Biogas Plant From Turkiye
Biogas primarily consists of methane and carbon dioxide, serves as renewable energy, and plays a vital role in the development of a circular economy by offering an effective approach to mitigate environmental impacts since it is capable of being utilized either as fuel or raw material in chemical manufacturing. Nevertheless, the specific composition of biogas can vary based on its origin (sludge, animal manure, food waste, municipal solid waste, etc.), potentially including contaminants such as hydrogen sulfide, water vapor, nitrogen, and halogenated volatile organic compounds. With the application of biogas upgrading technologies, biogas can serve as an alternative for the production of electricity, vehicle fuel, and heat production, replacing traditional fossil fuels. In the field of biomethane production, a variety of upgrading technologies exist to transform biogas into biomethane. These methods are scrubbing (water scrubbing, scrubbing with organic solvents, and chemical scrubbing), adsorption processes, cryogenic separation, hydrogenation processes, and membrane separation. Through the application of upgrading technologies, biomethane (methane content of 97-99 %vol) is obtained by the removal of the aforementioned impurities. In developed countries, converting biogas from anaerobic digestion of agricultural waste into biomethane through upgrading processes is a widespread practice. On the other hand, municipal solid waste (MSW) with an estimation of 3.4 billion tonnes by
2050 has garnered interest to produce biogas among countries like Turkiye. This study conducts a comparative evaluation of biogas upgrading technologies with a general approach to develop a suggestion for MSW using a biogas plant from Turkiye as a case study.
by Cansu Polat
Advisor: Dr. Bülent İçgen