Quantitative Assessment of Clogging in Porous Media Using a Coupled Bouwer Model-Column Experiment Approach

Abstract

Clogging in porous media significantly affects the performance of stormwater infiltration systems. This study applies the Bouwer model to quantify the hydraulic resistance (Rh) of clogged layers during column tests conducted under various experimental conditions. Three successive injections (particle-free water and particle-laden water containing local Hamri soil) were performed on sand, along with a single particle-free water injection on Hamri soil, to evaluate clogging dynamics. The least-squares method was used to optimize Rh, revealing a 600-fold increase in the hydraulic resistance of sand after two particle-laden water injections, indicating severe clogging. Hamri soil exhibited twice the susceptibility to clogging compared to sand due to its finer texture. These findings validate Rh as a robust indicator for assessing clogging, offering insights for optimizing filter materials in the design of infiltration basins. The study highlights the importance of soil texture and water quality in clogging susceptibility and proposes a framework for predictive modeling in stormwater management.