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

Authors
  • Ribas, Larissa Virgínia da Silva1
  • Coutinho, Artur Paiva2
  • Lassabatere, Laurent3
  • Neto, Severino Martins dos Santos2
  • Montenegro, Suzana Maria Gico Lima4
  • de Gusmão da Cunha Rabelo, Ana Emília Ca...2
  • Jaramillo, Rafael Angulo3
  • Neto, Alfredo Ribeiro4
  • 1 Federal University of Bahia, BA , (Brazil)
  • 2 2 – Federal University of Pernambuco, PE , (Brazil)
  • 3 CNRS, ENTPE, UMR5023 LEHNA, F-69518, Vaulx-en-Velin , (France)
  • 4 Federal University of Pernambuco, Brazil , (Brazil)
Type
Published Article
Journal
Journal of Hydrology and Hydromechanics
Publisher
Sciendo
Publication Date
Aug 10, 2021
Volume
69
Issue
3
Pages
332–346
Identifiers
DOI: 10.2478/johh-2021-0018
Source
De Gruyter
Keywords
License
Green

Abstract

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.

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