Study on Building Runway Water Depth Model Based on the Placement of Water Level Gauge

Abstract

This study presents the analysis of runway water depth predictions based on different placement of water depth gauges. Fuzzy logic method is used to set up the numerical runway water depth models for prediction. The influenced parameters of models include runway average macrotexture depth, drainage length, rainfall intensity and cross slope. The results showed acceptable runway water depth predictions can be obtained through the placement of either normal numbers of water depth gauges or fewer gauges in the experiment.