Gupta, Rohit and Lee, Susan and Lui, Jade and Sloan, William and You, Siming (2024) Carbon footprint assessment of water and wastewater treatment works in Scottish islands. Journal of Cleaner Production, 450: 141650. ISSN 0959-6526
AI Summary:
This study quantifies the global warming potential of existing water infrastructure on five Scottish islands. The results show that the global warming potential for drinking water treatment works ranged from 0.18 to 0.79 kgCO2-eqm3, while that for wastewater treatment works were 0.511.14 kgCO2-eqm3.AI Topics:
Quantifying the global warming potential of existing water infrastructure is an important step in realising the water industry's commitment to net-zero carbon. Whilst there has been an improved understanding of the global warming potential of centralized urban water infrastructure, rigorous analyses of smaller-scale rural systems are rare. This work adopts a life cycle assessment to ascertain the global warming potential of existing drinking water treatment works and wastewater treatment works associated with five Scottish islands: Arran, Iona, Jura, Barra, and Vatersay. The water systems, from source to sink, along with the use of chemicals, transportation, energy, and the disposal of waste products from water infrastructure are considered. The global warming potentials of the island's drinking water treatment works ranged from 0.18 to 0.79 kgCO2-eq/m3 of drinking water, while that for wastewater treatment works were 0.51–1.14 kgCO2-eq/m3 of wastewater. The global warming potential for water services on the islands can be as much as 7 times of that water services across Scotland as previously reported. Major global warming potential contributor in drinking water treatment works was the electricity consumed by the membrane bioreactor. The modelled direct emission of methane from sludge in septic tanks and landfill made the largest contribution to global warming potential. It was also highly sensitive to model parameters, which highlights the need for a comprehensive exploration of process emissions from septic tanks and sludge handling. This analysis of existing rural water infrastructure is a baseline against which potential alternative low-carbon technology configurations can be compared.
Gupta, Rohit
Author
Gupta, Rohit and Murray, Cameron and Sloan, William T. and You, Siming (2025) Predicting the methane production of microwave-pretreated anaerobic digestion of food waste: a machine learning approach. Energy. ISSN 0360-5442 (In Press)
Gupta, Rohit and Lee, Susan and Lui, Jade and Sloan, William and You, Siming (2024) Carbon footprint assessment of water and wastewater treatment works in Scottish islands. Journal of Cleaner Production, 450: 141650. ISSN 0959-6526
See full publications listLee, Susan
Author
Gupta, Rohit and Lee, Susan and Lui, Jade and Sloan, William and You, Siming (2024) Carbon footprint assessment of water and wastewater treatment works in Scottish islands. Journal of Cleaner Production, 450: 141650. ISSN 0959-6526
See full publications listLui, Jade
Author
Gupta, Rohit and Lee, Susan and Lui, Jade and Sloan, William and You, Siming (2024) Carbon footprint assessment of water and wastewater treatment works in Scottish islands. Journal of Cleaner Production, 450: 141650. ISSN 0959-6526
See full publications listSloan, William
Author
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Gupta, Rohit and Murray, Cameron and Sloan, William T. and You, Siming (2025) Predicting the methane production of microwave-pretreated anaerobic digestion of food waste: a machine learning approach. Energy. ISSN 0360-5442 (In Press)
Alghafli, Khaled and Shi, Xiaogang and Sloan, William and Ali, Awad M. (2025) Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms. Groundwater for Sustainable Development, 28: 101389. ISSN 2352-801X
See full publications listYou, Siming
Author
Gupta, Rohit and Murray, Cameron and Sloan, William T. and You, Siming (2025) Predicting the methane production of microwave-pretreated anaerobic digestion of food waste: a machine learning approach. Energy. ISSN 0360-5442 (In Press)
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Gupta, Rohit and Lee, Susan and Lui, Jade and Sloan, William and You, Siming (2024) Carbon footprint assessment of water and wastewater treatment works in Scottish islands. Journal of Cleaner Production, 450: 141650. ISSN 0959-6526
See full publications listAvailable under License Creative Commons Attribution.
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