Hydraulic, wash-off and sediment transport experiments in a full-scale urban drainage physical model.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
11 Feb 2020
Historique:
received: 25 10 2019
accepted: 23 01 2020
entrez: 13 2 2020
pubmed: 13 2 2020
medline: 13 2 2020
Statut: epublish

Résumé

This paper presents a dataset obtained from hydraulic and sediment transport experiments performed in a full-scale urban drainage physical model of 36 m

Identifiants

pubmed: 32047163
doi: 10.1038/s41597-020-0384-z
pii: 10.1038/s41597-020-0384-z
pmc: PMC7012918
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

44

Références

Zafra, C., Temprano, J. & Suárez, J. A simplified method for determining potential heavy metal loads washed-off by stormwater runoff from road-deposited sediments. Sci. Total Environ. 601, 260–270 (2017).
doi: 10.1016/j.scitotenv.2017.05.178
Anta, J., Peña, E., Suárez, J. & Cagiao, J. A BMP selection process based on the granulometry of runoff solids in a separate urban catchment. Water Sa. 32, 419–428 (2006).
Egodawatta, P., Thomas, E. & Goonetilleke, A. Mathematical interpretation of pollutant wash-off from urban road surfaces using simulated rainfall. Water Res. 41, 3025–3031 (2007).
doi: 10.1016/j.watres.2007.03.037
Rossi, L., Chèvre, N., Fankhauser, R. & Krejci, V. Probabilistic environmental risk assessment of urban wet-weather discharges: an approach developed for Switzerland. Urban Water J. 6, 355–367 (2009).
doi: 10.1080/15730620902934801
Sikorska, A. E., Del Giudice, D., Banasik, K. & Rieckermann, J. The value of streamflow data in improving TSS predictions–Bayesian multi-objective calibration. J. Hydrol. 530, 241–254 (2015).
doi: 10.1016/j.jhydrol.2015.09.051
Herngren, L. F. Build-up and Wash-off Process Kinetics of PAHs and Heavy Metals on Paved Surfaces Using Simulated Rainfall (Doctoral dissertation, Queensland University of Technology, 2005).
Akan, A. O. & Houghtalen, R. J. Urban hydrology, hydraulics, and stormwater quality: engineering applications and computer modelling (John Wiley & Sons, 2003).
Sartor, J. D. & Boyd, G. B. Water Pollution Aspects of Street Surface Contaminants, EPA-R2-72-081 (United States Environmental Protection Agency, 1972).
Leutnant, D., Muschalla, D. & Uhl, M. Statistical distribution of TSS event loads from small urban environments. Water 10, 769 (2018).
doi: 10.3390/w10060769
Muthusamy, M. et al. Improving understanding of the underlying physical process of sediment wash-off from urban road surfaces. J. Hydrol. 557, 426–433 (2018).
doi: 10.1016/j.jhydrol.2017.11.047
Schellart, A. N. A., Tait, S. J. & Ashley, R. M. Towards quantification of uncertainty in predicting water quality failures in integrated catchment model studies. Water Res. 44, 3893–3904 (2010).
doi: 10.1016/j.watres.2010.05.001
Gorgoglione, A. et al. Uncertainty in the parameterization of sediment build-up and wash-off processes in the simulation of sediment transport in urban areas. Environ. Modell. Softw. 111, 170–181 (2019).
doi: 10.1016/j.envsoft.2018.09.022
Deletic, A., Maksimovic, E. & Ivetic, M. Modelling of storm wash-off of suspended solids from impervious surfaces. J. Hydraul. Res. 35, 99–118 (1997).
doi: 10.1080/00221689709498646
Shaw, S. B., Walter, M. T. & Steenhuis, T. S. A physical model of particulate wash-off from rough impervious surfaces. J. of Hydrol. 327, 618–626 (2006).
doi: 10.1016/j.jhydrol.2006.01.024
Hong, M., Bonhomme, C., Le, M. H. & Chebbo, G. A new approach of monitoring and physically-based modelling to investigate urban wash-off process on a road catchment near Paris. Water Res. 102, 96–108 (2016).
doi: 10.1016/j.watres.2016.06.027
Naves, J., Rieckermann, J., Cea, L., Puertas, J. & Anta, J. Global and local sensitivity analysis to improve the understanding of physically-based urban wash-off models from high-resolution laboratory experiments. Sci. Total Environ. 709, 136152 (2020).
doi: 10.1016/j.scitotenv.2019.136152
Deletic, A., Ashley, R. & Rest, D. Modelling input of fine granular sediment into drainage systems via gully-pots. Water Res. 34, 3836–3844 (2000).
doi: 10.1016/S0043-1354(00)00133-0
Post, J. A. B. et al. Monitoring and statistical modelling of sedimentation in gully pots. Water Res. 88, 245–256 (2016).
doi: 10.1016/j.watres.2015.10.021
Mannina, G., Schellart, A. N. A., Tait, S. & Viviani, G. Uncertainty in sewer sediment deposit modelling: Detailed vs simplified modelling approaches. Phys. Chem. Earth 42, 11–20 (2012).
doi: 10.1016/j.pce.2011.04.003
Hannouche, A., Joannis, C. & Chebbo, G. Assessment of total suspended solids (TSS) event load and its uncertainties in combined sewer system from continuous turbidity measurements. Urban Water J. 14, 789–796 (2017).
doi: 10.1080/1573062X.2016.1254256
Djordjević, S. et al. Experimental and numerical investigation of interactions between above and below ground drainage systems. Water Sci. Technol. 67, 535–542 (2013).
doi: 10.2166/wst.2012.570
Fraga, I., Cea, L. & Puertas, J. Validation of a 1D-2D dual drainage model under unsteady part-full and surcharged sewer conditions. Urban Water J. 14, 74–84 (2015).
doi: 10.1080/1573062X.2015.1057180
Rubinato, M. et al. Experimental calibration and validation of sewer/surface flow exchange equations in steady and unsteady flow conditions. J. Hydrol. 552, 421–432 (2017).
doi: 10.1016/j.jhydrol.2017.06.024
Martins, R. et al. On the Characteristics of Velocities Fields in the Vicinity of Manhole Inlet Grates During Flood Events. Water Resour. Res. 54, 6408–6422 (2018).
doi: 10.1029/2018WR022782
Wijesiri, B., Egodawatta, P., McGree, J. & Goonetilleke, A. Process variability of pollutant build-up on urban road surfaces. Sci. Total Environ. 518, 434–440 (2015).
doi: 10.1016/j.scitotenv.2015.03.014
Sandoval, S., Vezzaro, L. & Bertrand-Krajewski, J. L. Revisiting conceptual stormwater quality models by reconstructing virtual state variables. Water Sci. Technol. 78, 655–663 (2018).
doi: 10.2166/wst.2018.337
Naves, J., Anta, J., Puertas, J., Regueiro-Picallo, M. & Suárez, J. Using a 2D shallow waters model to assess Large-scale Particle Image Velocimetry (LSPIV) and Structure from Motion (SfM) techniques in a street-scale urban drainage physical model. J. Hydrol. 575, 54–65 (2019).
doi: 10.1016/j.jhydrol.2019.05.003
Naves, J., Anta, J., Suárez, J. & Puertas, J. WASHTREET Hydraulic, wash-off and sediment transport experimental data obtained in an urban drainage physical model. Zenodo, https://doi.org/10.5281/zenodo.3256325 (2019).
Naves, J., Anta, J., Regueiro-Picallo, M., Suárez, J. & Puertas, J. WASHTREET Application of Structure from Motion (SfM) photogrammetric technique to determine surface elevations in an urban drainage physical model. Zenodo, https://doi.org/10.5281/zenodo.3241337 (2019).
Zafra, C. A., Temprano, J. & Tejero, I. Particle size distribution of accumulated sediments on an urban road in rainy weather. Environ. Technol. 29, 571–582 (2008).
doi: 10.1080/09593330801983532
Miguntanna, N. P., Goonetilleke, A., Egodowatta, P. & Kokot, S. Understanding nutrient build-up on urban road surfaces. J. Environ. Sci. 22, 806–812 (2010).
doi: 10.1016/S1001-0742(09)60181-9
Chow, M. F., Yusop, Z. & Abustan, I. Relationship between sediment build-up characteristics and antecedent dry days on different urban road surfaces in Malaysia. Urban Water J. 12, 240–247 (2015).
doi: 10.1080/1573062X.2013.839718
Morgan, D., Johnston, P., Osei, K. & Gill, L. Sediment build-up on roads and footpaths of a residential area. Urban Water J. 14, 378–385 (2017).
doi: 10.1080/1573062X.2016.1148182
Grottker, M. Runoff quality from a street with medium traffic loading. Sci. Total Environ. 59, 457–466 (1987).
doi: 10.1016/0048-9697(87)90469-4
Deletic, A. & Orr, D. W. Pollution buildup on road surfaces. J. Environ. Eng. 131, 49–59 (2005).
doi: 10.1061/(ASCE)0733-9372(2005)131:1(49)
Fraga, I. et al. Global Sensitivity and GLUE-Based Uncertainty Analysis of a 2D-1D Dual Urban Drainage Model. J. Hydraul. Eng. 21, 04016004 (2016).
Thielicke W. & Stamhuis E. J. PIVlab – towards user-friendly, affordable and accurate digital particle image velocimetry in MATLAB. J. Open Res. Softw. 2, article e30 (2014).
Goring, D. G. & Nikora, V. I. Despiking acoustic Doppler velocimeter data. J. Hydraul. Eng. 128, 117–126 (2002).
doi: 10.1061/(ASCE)0733-9429(2002)128:1(117)
Naves, J., Anta, J., Suárez, J. & Puertas, J. WASHTREET Runoff velocity data using different Particle Image Velocimetry (PIV) techniques in a full scale urban drainage physical model. Zenodo, https://doi.org/10.5281/zenodo.3239401 (2019).
APHA. Standard Methods for the Examination of Water and Wastewater. (American Public Health Association, 1995).
Naves, J. et al. Experimental study of pollutant washoff on a full-scale street section physical model. Water Sci. Technol. 76, 2821–2829 (2017).
doi: 10.2166/wst.2017.345
Leitão, J. P., Peña-Haro, S., Lüthi, B., Scheidegger, A. & de Vitry, M. M. Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry. J. Hydrol. 565, 791–804 (2018).
doi: 10.1016/j.jhydrol.2018.09.001

Auteurs

Juan Naves (J)

Universidade da Coruña, Water and Environmental Engineering Research Team (GEAMA), Civil Engineering School, Elviña, 15071, A Coruña, Spain. juan.naves@udc.es.

Jose Anta (J)

Universidade da Coruña, Water and Environmental Engineering Research Team (GEAMA), Civil Engineering School, Elviña, 15071, A Coruña, Spain. jose.anta@udc.es.

Joaquín Suárez (J)

Universidade da Coruña, Water and Environmental Engineering Research Team (GEAMA), Civil Engineering School, Elviña, 15071, A Coruña, Spain.

Jerónimo Puertas (J)

Universidade da Coruña, Water and Environmental Engineering Research Team (GEAMA), Civil Engineering School, Elviña, 15071, A Coruña, Spain.

Classifications MeSH