1. bookVolume 69 (2021): Issue 3 (September 2021)
Journal Details
First Published
28 Mar 2009
Publication timeframe
4 times per year
access type Open Access

Effect of the choice of different methods on the permeable pavement hydraulic characterization and hydrological classification

Journal Details
First Published
28 Mar 2009
Publication timeframe
4 times per year

The permeable pavement is a compensatory drainage technique for urban waters that aims to control runoff and to ensure ideal hydrological conditions. This work had as main objectives to evaluate the infiltration capacity of a permeable pavement (PP) at real scale, through analytical and numerical modeling. It relies on water infiltration experiments and related modeling for the hydrodynamic characterization of the coating layer (saturated hydraulic conductivity, Ks, and sorptivity, S). A large panel of analytical and numerical models was considered, and several estimates were obtained. Then, the criteria for the evaluation of the maintenance requirement of the permeable pavements were computed for all the Ks-estimates considering the NCRS standards (assessment of permeability levels). The results indicated nice fits and accurate estimates for both the saturated hydraulic conductivity and the sorptivity. However, the Ks-estimates depended on the considered model and led to contrasting results in terms of classification. For 8 of the 9 models, the value of the Ks-estimate leads to the classification of “Group A” of the NCRS soil classification, meaning a very permeable material. In contrasts, the last method (numerical inverse modeling) classified the permeable pavement as “Group D”, i.e., soils with low permeability. Those results show the importance of the selection of characterization methods regarding the assessment of the hydrological classification of permeable pavements.


AlShareedah, O., Nassiri, S., 2021. Pervious concrete mixture optimization, physical, and mechanical properties and pavement design: A review. Journal of Cleaner Production 288, 125095. https://doi.org/10.1016/j.jclepro.2020.125095 Search in Google Scholar

Angulo-Jaramillo, R., Bagarello, V., Iovino, M., Lassabatere, L., 2016. Infiltration measurements for soil hydraulic characterization, Infiltration Measurements for Soil Hydraulic Characterization. Springer, Switzerland. https://doi.org/10.1007/978-3-319-31788-5 Search in Google Scholar

Antonino, A.C.D., Soares, W. de A., Silva, E. da, Lima, J. de S., Netto, A.M., LIMA, C., 2004. Utilização do método inverso para a caracterização hidrodinâmica de um neossolo flúvico. Revista Brasileira de Recursos Hídricos, 9, 81–87. Search in Google Scholar

Bagarello, V., Di Prima, S., Iovino, M., 2017. Estimating saturated soil hydraulic conductivity by the near steady-state phase of a Beerkan infiltration test. Geoderma, 303, 70–77. https://doi.org/10.1016/j.geoderma.2017.04.030 Search in Google Scholar

Bagarello, V., Di Prima, S., Iovino, M., 2014a. Comparing alternative algorithms to analyze the Beerkan infiltration experiment. Soil Science Society of America Journal, 78, 724–736. Search in Google Scholar

Bagarello, V., Di Prima, S., Iovino, M., Provenzano, G., 2014b. Estimating field-saturated soil hydraulic conductivity by a simplified Beerkan infiltration experiment. Hydrological Processes, 28, 1095–1103. https://doi.org/10.1002/hyp.9649 Search in Google Scholar

Baloch, M.A., Ames, D.P., Tanik, A., 2015. Hydrologic impacts of climate and land-use change on Namnam Stream in Koycegiz Watershed, Turkey. Int. J. Environ. Sci. Technol., 12, 1481–1494. https://doi.org/10.1007/s13762-014-0527-x Search in Google Scholar

Boogaard, F., Lucke, T., Beecham, S., 2014. Effect of age of permeable pavements on their infiltration function. CLEAN – Soil, Air, Water, 42, 146–152. https://doi.org/10.1002/clen.201300113 Search in Google Scholar

Braud, I., De Condappa, D., Soria, J.M., Haverkamp, R., Angulo-Jaramillo, R., Galle, S., Vauclin, M., 2005. Use of scaled forms of the infiltration equation for the estimation of un-saturated soil hydraulic properties (the Beerkan method). European Journal of Soil Science, 56, 361–374. Search in Google Scholar

Brunetti, G., Šimŭnek, J., Piro, P., 2016. A comprehensive numerical analysis of the hydraulic behavior of a permeable pavement. Journal of Hydrology, 540, 1146–1161. Search in Google Scholar

Brutsaert, W., 1977. Vertical infiltration in dry soil. Water Resources Research, 13, 363–368. https://doi.org/10.1029/WR013i002p00363 Search in Google Scholar

Canholi, A., 2015. Drenagem urbana e controle de enchentes. Oficina de textos. Search in Google Scholar

Chandrappa, A.K., Biligiri, K.P., 2016. Pervious concrete as a sustainable pavement material–Research findings and future prospects: A state-of-the-art review. Construction and Building Materials, 111, 262–274. Search in Google Scholar

Costa, I.R. de A., Coutinho, A.P., Montenegro, S.M.G.L., Rabelo, A.E.C. de G. da C., Santos Neto, S.M. dos, Alves, E.M., Antonino, A.C.D., 2020. Sensitivity of hydrodynamic parameters in the simulation of water transfer processes in a permeable pavement. RBRH, 25, e47. https://doi.org/10.1590/2318-0331.252020190188 Search in Google Scholar

Coutinho, A.P., Lassabatere, L., Montenegro, S., Antonino, A.C.D., Angulo-Jaramillo, R., Cabral, J.J.S.P., 2016. Hydraulic characterization and hydrological behaviour of a pilot permeable pavement in an urban centre, Brazil. Hydrol. Process., 30, 4242–4254. https://doi.org/10.1002/hyp.10985 Search in Google Scholar

Fletcher, T.D., Andrieu, H., Hamel, P., 2013. Understanding, management and modelling of urban hydrology and its consequences for receiving waters: A state of the art. Advances in Water Resources, 51, 261–279. Search in Google Scholar

Fletcher, T.D., Shuster, W., Hunt, W.F., Ashley, R., Butler, D., Arthur, S., Trowsdale, S., Barraud, S., Semadeni-Davies, A., Bertrand-Krajewski, J.-L., others, 2015. SUDS, LID, BMPs, WSUD and more–The evolution and application of terminology surrounding urban drainage. Urban Water Journal, 12, 525–542. Search in Google Scholar

Haverkamp, R., Ross, P.J., Smettem, K.R.J., Parlange, J.Y., 1994. 3-Dimensional analysis of infiltration from the disc infiltrometer .2. Physically-based infiltration equation. Water Resources Research, 30, 2931–2935. Search in Google Scholar

Huang, J., He, J., Valeo, C., Chu, A., 2016. Temporal evolution modeling of hydraulic and water quality performance of permeable pavements. Journal of Hydrology, 533, 15–27. Search in Google Scholar

Kodešová, R., Kodeš, V., Žigová, A., Šimŭnek, J., 2006. Impact of plant roots and soil organisms on soil micromorphology and hydraulic properties. Biologia, 61, S339–S343. Search in Google Scholar

Lambe, T.W., Whitman, R.V., 1991. Soil Mechanics. John Wiley & Sons. Search in Google Scholar

Lassabatere, L., Angulo-Jaramillo, R., Goutaland, D., Letellier, L., Gaudet, J.P., Winiarski, T., Delolme, C., 2010. Effect of the settlement of sediments on water infiltration in two urban infiltration basins. Geoderma, 156, 316–325. http://dx.doi.org/10.1016/j.geoderma.2010.02.031 Search in Google Scholar

Lassabatere, L., Angulo-Jaramillo, R., Soria Ugalde, J.M., Cuenca, R., Braud, I., Haverkamp, R., 2006. Beerkan estimation of soil transfer parameters through infiltration experiments-BEST. Soil Science Society of America Journal, 70, 521–532. Search in Google Scholar

Lassabatere, L., Angulo-Jaramillo, R., Soria-Ugalde, J.M., Simunek, J., Haverkamp, R., 2009. Numerical evaluation of a set of analytical infiltration equations. Water Resources Research, 45, W12415. https://doi.org/doi:10.1029/2009WR007941 Search in Google Scholar

Lassabatere, L., Angulo-Jaramillo, R., Winiarski, T., Yilmaz, D., 2013. BEST method: Characterization of soil unsaturated hydraulic properties. In: Proceedings of the 1st Pan-American Conference on Unsaturated Soils, PanAmUNSAT 2013. CRC Press, pp. 527–532. Search in Google Scholar

Lassabatere, L., Yilmaz, D., Peyrard, X., Peyneau, P.E., Lenoir, T., Šimůnek, J., Angulo-Jaramillo, R., 2014. New analytical model for cumulative infiltration into dual-permeability soils. Vadose Zone Journal, 13, 1–15. https://doi.org/10.2136/vzj2013.10.0181 Search in Google Scholar

Marinho, M.N., Coutinho, A.P., Santos Neto, S.M. dos, Casagrande, C.A., Santos, G.T.L., Carneiro, A.M.P., 2020. Mathematical modeling of the infiltration in a permeable pavement on the field scale. RBRH, 25, e39. https://doi.org/10.1590/2318-0331.252020200052 Search in Google Scholar

Mualem, Y., 1976. A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resources Research, 12, 513–522. Search in Google Scholar

Mullaney, J., Lucke, T., 2014. Practical review of pervious pavement designs. CLEAN – Soil, Air, Water, 42, 111–124. https://doi.org/10.1002/clen.201300118 Search in Google Scholar

Philip, J., 1957. The theory of infiltration: 1. The infiltration equation and its solution. Soil Science, 83, 345–358. Search in Google Scholar

Philip, J.R. a, Knight, J.H. b, 1974. On solving the unsaturated flow equation: 3. new quasi-analytical technique. Soil Science, 117, 1–13. Search in Google Scholar

Pollacco, J.A.P., Nasta, P., Soria-Ugalde, J.M., Angulo-Jaramillo, R., Lassabatere, L., Mohanty, B.P., Romano, N., 2013. Reduction of feasible parameter space of the inverted soil hydraulic parameter sets for Kosugi model. Soil Sci., 178. 267–280. https://doi.org/10.1097/SS.0b013e3182a2da21 Search in Google Scholar

Rawls, W., Gish, T., Brakensiek, D., 1991. Estimating soil water retention from soil physical properties and characteristics. In: Advances in Soil Science. Springer, pp. 213–234. Search in Google Scholar

Rawls, W.J., Ahuja, L.R., Brakensiek, D.L., Shirmohammadi, A., 1992. Infiltration and soil water movement. In: Handbook of Hydrology. McGraw-Hill Inc., New York, pp. 5.1-5.51. Search in Google Scholar

Reynolds, W., Elrick, D., 1990. Ponded infiltration from a single ring: I. Analysis of steady flow. Soil Science Society of America Journal, 54, 1233–1241. Search in Google Scholar

Šimůnek, J., Angulo-Jaramillo, R., Schaap, M.G., Vandervaere, J.-P., van Genuchten, M.T., 1998. Using an inverse method to estimate the hydraulic properties of crusted soils from tension-disc infiltrometer data. Geoderma, 86, 61–81. Search in Google Scholar

Šimůnek, J., van Genuchten, M.T., 1997. Estimating unsaturated soil hydraulic properties from multiple tension disc infiltrometer data. Soil Science, 162, 383–398. Search in Google Scholar

Šimůnek, J., van Genuchten, M.T., Sejna, M., 2008. Development and applications of the HYDRUS and STANMOD software packages and related codes. Vadose Zone Journal, 7, 587–600. Search in Google Scholar

Smettem, K., Kirkby, C., Chittleborough, D., 1994. Hydrologic response of undisturbed soil cores to simulated rainfall. Soil Res., 32, 1175–1187. Search in Google Scholar

Stroosnijder, L., 1976. Infiltratie en herverdeling van water in grond. Pudoc. Search in Google Scholar

Swartzendruber, D., 1987. A quasi-solution of Richards’ equation for the downward infiltration of water into soil. Water Resources Research, 23, 809–817. Search in Google Scholar

Terzaghi, K., Peck, R.B., Mesri, G., 1996. Soil mechanics in engineering practice. John Wiley & Sons. Search in Google Scholar

Turco, M., Kodešová, R., Brunetti, G., Nikodem, A., Fér, M., Piro, P., 2017. Unsaturated hydraulic behaviour of a permeable pavement: Laboratory investigation and numerical analysis by using the HYDRUS-2D model. Journal of Hydrology, 554, 780–791. Search in Google Scholar

van Genuchten, M.T., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal, 44, 892–898. Search in Google Scholar

White, I., Sully, M., 1987. Macroscopic and microscopic capillary length and time scales from field infiltration. Water Resources Research, 23, 1514–1522. Search in Google Scholar

Wu, L., Pan, L., Mitchell, J., Sanden, B., 1999. Measuring saturated hydraulic conductivity using a generalized solution for single-ring infiltrometers. Soil Science Society of America Journal, 63, 788–792. Search in Google Scholar

Xie, N., Akin, M., Shi, X., 2019. Permeable concrete pavements: A review of environmental benefits and durability. Journal of Cleaner Production, 210, 1605–1621. Search in Google Scholar

Xu, X., Lewis, C., Liu, W., Albertson, J., Kiely, G., 2012. Analysis of single-ring infiltrometer data for soil hydraulic properties estimation: Comparison of BEST and Wu methods. Agricultural Water Management, 107, 34–41. Search in Google Scholar

Yilmaz, D., Lassabatere, L., Angulo-Jaramillo, R., Deneele, D., Legret, M., 2010. Hydrodynamic characterization of basic oxygen furnace slag through an adapted BEST method. Va-dose Zone Journal, 9, 107–116. https://doi.org/10.2136/vzj2009.0039 Search in Google Scholar

Yilmaz, D., Lassabatere, L., Deneele, D., Angulo-Jaramillo, R., Legret, M., 2013. Influence of carbonation on the micro-structure and hydraulic properties of a basic oxygen furnace slag. Vadose Zone Journal, 12. https://doi.org/10.2136/vzj2012.0121 Search in Google Scholar

Zhu, H., Yu, M., Zhu, J., Lu, H., Cao, R., Zhang, L., 2019. Simulation study on effect of permeable pavement on reducing flood risk of urban runoff. International Journal of Transportation Science and Technology, 8, 4, 373–382. Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo