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Interpreted as:

title:(Diagnosing AND the AND location AND of AND uncertainty AND in AND urban AND drainage AND models AND with AND hydrologic AND and AND hydraulic AND signatures)

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1 Conference paper

Diagnosing the location of uncertainty in urban drainage models with hydrologic and hydraulic signatures: a real case study with a complex internal overflow structure

results. By applying signatures (Gupta et al., 2008) to models and observations we can identify uncertainties in integrated urban drainage models (Pedersen et al., submitted). Uncertainties can be classified into four locations: context, input (external forcings or system attributes), model structure

Year: 2022

Language: English

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2 Journal article

Using multi-event hydrologic and hydraulic signatures from water level sensors to diagnose locations of uncertainty in integrated urban drainage models used in living digital twins

to end-users. This paper first defines a classification of four possible ‘locations of uncertainty’ in integrated urban drainage models. It then develops a structured framework for identifying and diagnosing various types of errors. This framework compares model outputs with in-sewer water level observations

Year: 2022

Language: English

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