Risk-Based Water Quality Management in an Integrated Urban Wastewater System under Future Uncertainties
Astaraie-Imani, M; Kapelan, Z; Butler, D
Date: 2012
Conference paper
Publisher
International Environmental Modelling and Software Society (iEMSs)
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Abstract
Climate change and urbanisation are key factors potentially affecting the
future of water quality and quantity in urbanised catchments and are associated
with significant degrees of uncertainty. Maintaining or even improving urban
recipient water quality under this uncertain future will be a major challenge. The
study reported in ...
Climate change and urbanisation are key factors potentially affecting the
future of water quality and quantity in urbanised catchments and are associated
with significant degrees of uncertainty. Maintaining or even improving urban
recipient water quality under this uncertain future will be a major challenge. The
study reported in this paper explores the potential for managing water quality within
a novel risk-based framework in the context of an Integrated Urban Wastewater
System (IUWS) comprised of a sewer system, wastewater treatment plant and the
recipient. In the study, we explore the potential for managing water quality failure
risk by optimising the operational control and/or design of the wastewater system.
Water quality failure risk is defined as the product of the likelihood and impact of
water quality standard breaches. The optimisation objectives are the minimisation
of water quality failure risk in terms of both dissolved oxygen and ammonia
concentrations. The decision variables are a set of IUWS operational control and
design parameters. The above optimisation problem was solved using the modified
MOGA-ANN method. The results obtained from a semi-hypothetical case-study
undergoing urbanisation and subject to climate change indicate that operational
control optimisation has the potential to reduce the risk of recipient water quality
failure but, in this particular case, cannot fully meet appropriate water quality
standards. It was found that an acceptable level of risk can only be achieved by
combining improved operational control and system (re)design.
Engineering
Faculty of Environment, Science and Economy
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