Abstract
AbstractThis paper presents a dataset obtained from hydraulic and sediment transport experiments performed in a full-scale urban drainage physical model of 36 m2. The study seeks to accurately measure sediment mobilization through the different parts of the model (surface, gully pots and pipe system), also obtaining a precise characterization of water flow and using realistic rainfall simulator to ensure the transferability of the results. Three different rain intensities and five sediment granulometries were tested in 6 hydraulic and 23 wash-off and sediment transport experiments. The following experimental data were produced: surface elevations and 2D runoff velocities measured by visualization techniques; surface and in-pipe water depths; flow discharges, total suspended solids concentrations and particle size distribution at the entrance of the gully pots and at the pipe system outlet; and sediment mass balances. This data is optimal for developing and validating wash-off and sediment transport formulations in urban drainage models, towards better treatment and management techniques for minimizing the impact of urban surface pollutants on the environments of towns and cities.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference42 articles.
1. 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).
2. 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).
3. 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).
4. 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).
5. 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).
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献