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Magnus Moglia

Researcher at Commonwealth Scientific and Industrial Research Organisation

Publications -  79
Citations -  1930

Magnus Moglia is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Rainwater harvesting & Water supply. The author has an hindex of 23, co-authored 72 publications receiving 1627 citations. Previous affiliations of Magnus Moglia include University of Wollongong & Australian National University.

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Towards sustainable urban water management: A critical reassessment

TL;DR: A critical assessment of the discourse that surrounds emerging approaches to urban water management and infrastructure provision is provided to highlight the limitations and strengths in the current lines of argument and point towards unaddressed complexities in the transformational agendas advocated by SUWM proponents.
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A physical probabilistic model to predict failure rates in buried PVC pipelines

TL;DR: A physical probabilistic model, which has been developed to estimate failure rates in buried PVC pipelines as they age, shows good agreement with data recorded by UK water utilities, but actual operating pressures from the UK is required to complete the model validation.
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An Overview of Hybrid Water Supply Systems in the Context of Urban Water Management: Challenges and Opportunities

TL;DR: In this article, the authors present a critical review of the physical impacts of decentralized water supply systems on existing centralized water infrastructures and identify a number of significant research gaps related to interactions between centralized and decentralized urban water services.
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A review of Agent-Based Modelling of technology diffusion with special reference to residential energy efficiency

TL;DR: In this paper, an agent-based modeling (ABM) approach is used to describe the diffusion of technologies in a population, but certain limitations have been identified in the context of energy efficient residential technologies and how an alternative computational and empirical paradigm, ABM, can help resolve some of these limitations.