Laboratory Assessment of the Infiltration Capacity Reduction in Clogged Porous Mixture Surfaces

• Published in: Sustainability Vol. 8; no. 8; p. 751
• Main Authors: Andrés-Valeri, Valerio, Marchioni, Mariana, Sañudo-Fontaneda, Luis, Giustozzi, Filippo, Becciu, Gianfranco
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 04.08.2016
• Subjects: air; Asphalt pavements; Best management practices; bitumen; cleaning; concrete; Drainage; Environmental engineering; Laboratories; pavements; Permeability; Pollutants; pollution load; rain; rain intensity; rainfall duration; rainfall simulation; Runoff; sediment yield; Sediments; stormwater; Stormwater management; Sustainability; Italy
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su8080751

Permeable pavements have been used widely across the world to manage urban stormwater. The hydrological behaviour of permeable surfaces is a complex process affected by many factors, such as rainfall intensity, rainfall duration, pavement geometrical conditions, and clogging level of the permeable surface, amongst others. This laboratory study was carried out to assess the influence of clogging level and rainfall intensity on the infiltration capacity of porous mixture surfaces used in Permeable Pavement Systems (PPS). Porous Concrete (PC) and Porous Asphalt (PA) mixtures with different air void contents (15%, 20%, and 25%) were subject to different clogging scenarios by using varying sediment loads (0, 500, and 1000 g/m2). Permeability experiments were carried out for each clogging scenario through a new rainfall simulator specially developed, tailored, and calibrated for the laboratory simulation of a wide range of rainfall events. Permeability measurements were taken under all different scenarios as a result of the combination of the different rainfall events (50, 100, and 150 mm/h) simulated over the specimens of porous mixtures and the sediment loads applied to them. The results showed that the PC mixtures tested perform better than the PA ones in terms of infiltration capacity, showing less potential for clogging and being more easily cleaned by the wash-off produced by the simulated rainfall events.