Permeable blocks have been increasingly adopted as climate adaptation technologies to mitigate the impacts of extreme rainfall in urban areas. However, quantitative runoff reduction performance under varying rainfall intensities has not been sufficiently validated. In this study, controlled outdoor artificial rainfall experiments were conducted under three rainfall scenarios (50, 100, and 150 mm/h) to evaluate the effectiveness of permeable blocks in reducing surface runoff. A runoff monitoring system was installed at a testbed site on the Yangsan campus of Pusan National University to quantify outflow characteristics. The experimental data were used to develop a runoff prediction model based on an exponential regression approach. The results showed that the permeable blocks effectively reduced runoff across all rainfall scenarios, with correlation coefficients between the observed and predicted values ranging from 0.991 to 0.995 (p < 0.05). This indicated a strong predictive relationship and verified the reliability of the model. These findings contribute to the establishment of experimental design guidelines for future high-precision climate simulation experiments and support the practical implementation of permeable pavement systems for urban flood mitigation.
Min et al. (Wed,) studied this question.
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