F
Francois Clemens
Researcher at Delft University of Technology
Publications - 173
Citations - 2646
Francois Clemens is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Sanitary sewer & Combined sewer. The author has an hindex of 23, co-authored 170 publications receiving 2032 citations. Previous affiliations of Francois Clemens include Norwegian University of Science and Technology & City University of New York.
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Journal ArticleDOI
Microbial risks associated with exposure to pathogens in contaminated urban flood water
TL;DR: Faecal contamination: faecal indicator organism concentrations were similar to those found in crude sewage under high-flow conditions and Campylobacter was detected in all samples, justifying the results of this screening-level risk assessment.
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Interpolation in Time Series : An Introductive Overview of Existing Methods, Their Performance Criteria and Uncertainty Assessment
TL;DR: A discussion is thus presented on the uncertainty estimation of interpolated/extrapolated data and some suggestions for further research and a new method are proposed.
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The consistency of visual sewer inspection data
J. Dirksen,Francois Clemens,H. Korving,Frédéric Cherqui,P. Le Gauffre,Thomas Ertl,Hanns Plihal,K. Müller,C. T.M. Snaterse +8 more
TL;DR: In this article, the authors assess the quality of the analysis of visual sewer inspection data by analysing data reproducibility; three types of capabilities to subjectively assess data are distinguished: the recognition of defects, the description of defects according to a prescribed coding system and the interpretation of sewer inspection reports.
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On the sensitivity of urban hydrodynamic modelling to rainfall spatial and temporal resolution
TL;DR: In this paper, a detailed study of the sensitivity of urban hydrological response to high-resolution radar rainfall was conducted, where rain rates derived from X-band dual polarimetric weather radar were used as input into a detailed hydrodynamic sewer model for an urban catchment in Rotterdam, the Netherlands.
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Locating illicit connections in storm water sewers using fiber-optic distributed temperature sensing.
TL;DR: A newly developed technique using distributed temperature sensing (DTS) has been developed to find illicit household sewage connections to storm water systems in the Netherlands and found that foul water from households or companies entered the storm water system through an illicit sewage connection.