Estimation of Hydraulic Roughness of Concrete Sewer Pipes by Laser Scanning
Publication: Journal of Hydraulic Engineering
Volume 143, Issue 2
Abstract
In sewer asset management, decision making on rehabilitation or replacement should preferably be based on the actual functionality of a sewer system. In order to judge the ability of a sewer system to transport wastewater, hydrodynamic models are used; in these, hydraulic roughness is one of the key parameters. For new pipes, this is well known, but for aged pipes with uneven deterioration along the cross section, information on the hydraulic roughness is lacking. In this article, the potential of laser scanning methods for accurate, noninvasive, and nonintrusive assessment of the hydraulic roughness of concrete sewer pipes is described, demonstrated, and discussed. Processing of raw scanned data consists of two steps: (1) spatial interpolation with uncertainty analysis, and (2) statistical analysis for estimating the hydraulic roughness. Moreover, a statistical analysis was carried out to determine the minimal scanning resolution required in order to yield results accurate enough for subsequent modeling uses. The results show a promising potential of the laser scanning approach for a simple and fast quantification of the hydraulic roughness in a sewer system.
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Acknowledgments
The authors would like to acknowledge the funding by (in alphabetical order) ARCADIS, Deltares, Gemeente Almere, Gemeente Breda, Gemeente ‘s-Gravenhage, Gemeentewerken Rotterdam, Gemeente Utrecht, GMB Rioleringstechniek, Grontmij, KWR Watercycle Research Institute, Royal HaskoningDHV, Stichting RIONED, STOWA, Tauw, vandervalk+degroot, Waterboard De Dommel, Waternet, and Witteveen+Bos as part of the Urban Drainage Research program. In addition, the authors would like to thank Mathieu Lepot and Johan Post for the fruitful discussions and useful suggestions.
References
Ackers, P. (1961). “The hydraulic resistance of drainage conduits.” Proc. Inst. Civ. Eng., 19(3), 307–336.
Ackers, P., Crickmore, M. J., and Holmes, M. J. (1964). “Effects of use on the hydraulic resistance of drainage conduits” Proc. Inst. Civ. Eng., 28(3), 339–360.
Ali, S., and Uijttewaal, W. (2013). “Flow resistance of vegetated weirlike obstacles during high water stages.” J. Hydraul. Eng., 325–330.
Beekhuizen, J., Heuvelink, G. B. M., Biesemans, J., and Reusen, I. (2011). “Effect of DEM uncertainty on the positional accuracy of airborne imagery.” IEEE Trans. Geosci. Remote Sens., 49(5), 1567–1577.
Bennis, S., Bengassem, J., and Lamarre, P. (2003). “Hydraulic performance index of a sewer network.” J. Hydraul. Eng., 504–510.
Bivand, R. S., Pebesma, E. J., Gómez-Rubio, V., and Pebesma, E. J. (2008). Applied spatial data analysis with R, Springer, New York.
Camenen, B., Bayram, A., and Larson, M. (2006). “Equivalent roughness height for plane bed under steady flow.” J. Hydraul. Eng., 1146–1158.
Clemens, F. H. L. R., Stanić, N., Van der Schoot, W., Langeveld, J. G., and Lepot, M. (2015). “Uncertainties associated with laser profiling of concrete sewer pipes for the quantification of the interior geometry.” Struct. Infrastruct. Eng., 11(9), 1218–1239.
Cressie, N. (1988). “Spatial prediction and ordinary kriging.” Math. Geol., 20(4), 405–421.
Deutsch, C. V., and Journel, A. G. (1998). GSLIB: Geostatistical software library and user’s manual, Oxford University Press, New York.
Einstein, H. A. (1934). “Der hydraulische oder profil-radius (The hydraulic or cross section radius).” Schweizerische Bauzeitung, 103(8), 89–91 (in German).
Einstein, H. A., and Barbarossa, N. L. (1952). “River channel roughness” Trans. ASCE, 117, 1121–1146.
Emery, X. (2006). “Ordinary multiGaussian kriging for mapping conditional probabilities of soil properties.” Geoderma, 132(1), 75–88.
Goovaerts, P. (1997). Geostatistics for natural resources evaluation, Oxford University Press, New York.
Hager, W. H. (1999). Wastewater hydraulics, Springer, Berlin.
Hamilton, J. D. (1994). Time series analysis, Princeton University Press, Princeton, NJ.
Hengl, T. (2007). “A practical guide to geostatistical mapping of environmental variables.” Institute for Environment and Sustainability, Ispra, Italy.
Isaaks, E. H., and Srivastava, R. M. (1989). Applied geostatistics, Oxford University Press, New York.
ISO. (2010). “Geometrical product specifications (GPS)—Acceptance and reverification tests for coordinate measuring machines (CMM)—Part 5: CMMs using multiple-stylus probing systems.” ISO 10360-5, Geneva.
Krige, D. G. (1951). “A statistical approach to some basic mine valuation problems on the Witwatersrand.” J. Chem. Metall. Min. Soc. South Afr., 52(6), 119–139.
Mahmood, K. (1971). “Water management.”, Colorado State Univ., Fort Collins, CO.
Matheron, G. (1971). “The theory of regionalized variables and its applications.” Ecole nationale supérieure des mines de Paris, Paris.
Nikuradse, J. (1933). “Strömungsgesetze in rauhen Röhren [Laws of flow in rough pipes].” VDI-Forschungsheft (in German).
Oksanen, J., and Sarjakoski, T. (2005). “Error propagation of DEM-based surface derivatives.” Comput. Geosci., 31(8), 1015–1027.
Pegram, G. G. S., and Pennington, M. S. (1996). “A method for estimating the hydraulic roughness of unlined bored tunnels.”, Univ. of Natal, Johannesburg, South Africa.
Pennington, M. S. (1998). “Hydraulic roughness of bored tunnels.” IPENZ Trans., 25(1), 1–13.
R version 3.1.2 [Computer software]. R Foundation for Statistical Computing, Vienna, Austria.
Romanova, A., Tait, S., and Horoshenkov, K. V. (2011). “Using rapid, non intrusive methods to measure hydraulic roughness in partially filled pipes.” Proc., 12th Int. Conf. on Urban Drainage, UNESCO, France.
Stanić, N., Langeveld, J. G., and Clemens, F. H. L. R. (2014a). “Hazard and operability (HAZOP) analysis for identification of information requirements for sewer asset management.” Struct. Infrastruct. Eng., 10(11), 1345–1356.
Stanić, N., Lepot, M., Catieau, M., Langeveld, J. G., and Clemens, F. H. L. R. (2016). “Collaborative technology for sewer pipe inspection—Part 1: Design, calibrations, corrections and potential application of a laser profiler.” Autom. Constr., in press.
Stanić, N., Salet, T., Langeveld, J. G., and Clemens, F. H. L. R. (2014b). “Design of a laboratory set-up for evaluating structural strength of deteriorated concrete sewer pipes.” Proc., 13th IWA/IAHR Int. Conf. on Urban Drainage, RBM Engineering Consultant, Kuala Lumpur, Malaysia.
Straub, L. G., and Morris, H. M. (1950). “Hydraulic tests on concrete culvert pipes.” St. Anthony Falls Hydraulic Laboratory, Univ. of Minnesota, Minneapolis.
van Rijn, L. C. (1982). “Equivalent roughness of alluvial bed.” J. Hydraul. Eng., 108(HY10), 1215–1218.
Wu, J., Norvell, W., and Welch, R. (2006). “Kriging on highly skewed data for DTPA-extractable soil Zn with auxiliary information for pH and organic carbon.” Geoderma, 134(1), 187–199.
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© 2016 American Society of Civil Engineers.
History
Received: Jul 15, 2015
Accepted: Jun 14, 2016
Published online: Sep 8, 2016
Published in print: Feb 1, 2017
Discussion open until: Feb 8, 2017
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