Publicacións

@article{alvarado-vicencio_clogging_2026,

title = {Clogging effects on a polyurethane-based permeable pavement under controlled laboratory settings},

author = {Reginald Alvarado-Vicencio and Volker Linnemann and Alvaro Garcia and María A. Pimiento-Avella and Juan Naves-García-Rendueles and Jose Anta-Álvarez and Maximilian P. Born and Thomas Wintgens},

url = {https://www.sciencedirect.com/science/article/pii/S2214509526005619},

doi = {10.1016/j.cscm.2026.e06310},

issn = {2214-5095},

year  = {2026},

date = {2026-12-01},

urldate = {2026-08-17},

journal = {Case Studies in Construction Materials},

volume = {25},

pages = {e06310},

abstract = {Permeable pavements are a well-established green solution for mitigating urban runoff, but their implementation in cities has been limited due to their low load-bearing capacity. Previous studies of a new polyurethane-based mixture, named Polyurethane Bound Permeable Mixture (PBPM), reported good resistance to heavy loads such buses and trucks. Nevertheless, PBPM remains susceptible to clogging caused by sediment accumulation transported by runoff. Consequently, this study investigated three mixtures under various clogging conditions: two PBPM mixtures with aggregate sizes of 8 mm (PBPM8) and 5 mm (PBPM5), and one bitumen-based mixture with an aggregate size of 8 mm (PA8) as control. Laboratory experiments were conducted using a rainfall simulator and real sediments to evaluate the impact of sediment particle size, sediment load, and rainfall intensity on the hydraulic conductivity (Kv). Three experiments were conducted: Experiment 1 determined the combination of rain intensity and sediment particle size distribution (PSD) that caused maximum clogging; Experiment 2 assessed Kv reduction with increasing sediment loads (applied in multiple steps) at a fixed rainfall intensity; and Experiment 3 examined Kv changes under different combinations of sediment loads (applied in one step) and rainfall intensities. PBPM exhibited superior clogging resistance, maintaining ∼40% of its initial Kv at 2000 g/m², outperforming PA8 and other bitumen-based mixtures. Clogging was exacerbated by shorter rains and specific sediment size distributions, whereas lower-intensity rainfall yielded inconsistent effects. Overall, Kv decreased proportionally with increasing sediment loads. These findings demonstrate that clogging severity is governed by rainfall characteristics (duration and intensity) and sediment properties (size, load, and application method); however, comparisons with previous research suggest that porosity is a greater influence than aggregate size. This study provides a framework for developing representative laboratory-scale clogging protocols and optimizing permeable pavement mixture designs.},

keywords = {Clogging, Hydraulic conductivity, Permeable pavement, Polyurethane, Rainfall simulation, Sediments, SUDS},

pubstate = {published},

tppubtype = {article}

}

@article{joshi_dataset_2025,

title = {Dataset on the impacts of sand and leaf litter on the hydrological performance of green roofs as surrogate for infiltration-based blue-green infrastructure (BGI)},

author = {Prabhat Joshi and Juan Naves-García-Rendueles and Jose Anta-Álvarez and Max Maurer and João P. Leitão},

url = {https://www.sciencedirect.com/science/article/pii/S2352340925000691},

doi = {10.1016/j.dib.2025.111337},

issn = {2352-3409},

year  = {2025},

date = {2025-04-01},

urldate = {2025-04-01},

journal = {Data in Brief},

volume = {59},

pages = {111337},

abstract = {This dataset contains raw and processed data from controlled experiments conducted in a rainfall simulator to quantify the impacts of incremental sand and leaf litter accumulation on the hydrological performance of blue-green infrastructure (BGI). The tests were conducted in a controlled indoor environment using two BGI boxes (approximately 3.84 m² each), representing a typical infiltration-based BGI setup with vegetation, a 6-cm deep substrate, and storage layers. Soil moisture sensors and tipping buckets were installed to measure underdrain flow. In one box, sand was incrementally added (2–18 kg.m−²); in the other, leaf litter accumulation ranged from 0.3 to 1.725 kg (total). Each scenario received rainfall (16.66 mm.h−1 for Box 1; 18.66 mm.h−1 for Box 2) for 30 minutes, with intervals larger than four hours between tests. The dataset can be used to understand the impact of shock events that introduce high pollutant loads to the BGI surface and subsurface, affecting their hydrological performance. It can also be used to study the maintenance needs of BGI to sustain their hydrological functionality.},

keywords = {Clogging, Detention, Infiltration, Maintenance, Rainfall generator, Retention, Surface sealing},

pubstate = {published},

tppubtype = {article}

}