Permeable Pavement Hydraulic Conductivity Indices for Rainfall-Runoff and Particulate Matter Loadings

2021 ◽  
Vol 147 (12) ◽  
Author(s):  
Mariana Marchioni ◽  
Anita Raimondi ◽  
Valerio C. Andrés-Valeri ◽  
Gianfranco Becciu ◽  
John Sansalone
2019 ◽  
Vol 55 (9) ◽  
pp. 7902-7915
Author(s):  
Abhishek Goyal ◽  
Renato Morbidelli ◽  
Alessia Flammini ◽  
Corrado Corradini ◽  
Rao S. Govindaraju

Author(s):  
Liyuan Qiu ◽  
Yu Zhang ◽  
Sheng Zhang ◽  
Jingwei Zhao ◽  
Tengfei Wang ◽  
...  

Abstract In urban areas, the buildings and pavements make it hard for rainwater to infiltrate into the ground. The hardened underlaying sub-crust has increased the total rainfall runoff, pushing up the peak flood flow. Drawing on the construction concept of sponge city, this paper probes deep into the materials in each layer of permeable pavement for sidewalks. Specifically, a runoff model was constructed for sidewalk pavements under rainfall conditions through numerical simulation and model testing. Using the precipitation pattern of Qingdao, China, several combinations of materials were subject to rainfall simulations, revealing how each permeable pavement controls and affects the surface runoff. The results show that the permeability of surface course and sub-crust directly bear on the starting time, peak flow, total runoff and runoff time of sub-catchment runoff; and the latter has a greater impact than the former on sub-catchment runoff.


2021 ◽  
Vol 69 (3) ◽  
pp. 332-346
Author(s):  
Larissa Virgínia da Silva Ribas ◽  
Artur Paiva Coutinho ◽  
Laurent Lassabatere ◽  
Severino Martins dos Santos Neto ◽  
Suzana Maria Gico Lima Montenegro ◽  
...  

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.


2021 ◽  
Author(s):  
Mariana Marchioni ◽  
Roberto Fedele ◽  
Anita Raimondi ◽  
John Sansalone ◽  
Gianfranco Becciu

Abstract Permeable asphalt (PA) is a composite material with an open graded mix design that provides a pore structure facilitating stormwater infiltration. PA is often used as a wearing course for permeable pavements and on roadways to reduce aquaplaning and noise pollution. The pore structure functions as a filter promoting particulate matter (PM) separation. The infiltrating flow characteristics are predominately dependent on pore diameter and pore interconnectivity. X-Ray microTomography (XRT) has been successfully used to estimate these parameters that are otherwise difficult to obtain through conventional gravimetric methods. The pore structure parameters allow modeling of hydraulic conductivity (k) and filtration mechanisms; required to examine the material behavior for infiltration and PM separation. Pore structure parameters were determined through XTR for three PA mixtures. The Kozeny-Kovàv model was implemented to estimate k. PM separation was tested using a pore-to-PM diameter categorical model. This filtration mechanism model was validated with data using rainfall simulation. The filtration model provided a good correlation between measured and modeled data. The identification of filtration mechanisms and k facilitate the design and evaluation of permeable pavement systems as a best management practice (BMP) for runoff volume and flow as well as PM and PM-partitioned chemical separation.


2011 ◽  
Vol 399 (3-4) ◽  
pp. 148-157 ◽  
Author(s):  
X. Kuang ◽  
J. Sansalone ◽  
G. Ying ◽  
V. Ranieri

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