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Imprecise probabilistic evaluation of sewer flooding in urban drainage systems using random set theory

This paper proposes a framework to integrate several state-of-the-art concepts in modelling of urban flooding when combined with sewer overflow. The significance of this work lies in the practical nature of the proposed framework, which allows the modeller to incorporate imprecise knowledge of sewer network, probability-based stochastic rainfall, and yet come up with sewer flooding extent which is easily interpretable by practicing engineers.