Porous Pavement Quality Modelling

Data collected into an experimental laboratory rig of three different and widely used permeable pavement types has been analyzed. Through a correlation analysis, the key variables were identified: flows (wet conditions), twelve hours cumulated flows (historical conditions) and cumulative input volumes and masses (clogging conditions). As a first attempt, due to its successful application, k-C* model were selected to simulate the porous pavement systems and test its validity in this case. As shown below, results were not so satisfactory than, further investigations were conducted and three new formulations (one for each porous pavement type) has been proposed and validated using the Nash-Sutcliffe coefficient as goodness of fit. (C) 2014 The Authors. Published by Elsevier Ltd.