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

Peida Lin 1 and Yannian Lee 2
1. Transportation Engineering Division, Department of Civil Engineering, National Taiwan University, Taiwan Transportation Safety Board, Taipei, Taiwan
2. Taiwan Transportation Safety Board, Taipei, Taiwan
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.
 
Index Terms—frunway water depth; fuzzy logic modeling; water level gauge

Cite: Peida Lin and Yannian Lee, "Study on Building Runway Water Depth Model Based on the Placement of Water Level Gauge" Journal of Traffic and Logistics Engineering, Vol. 8, No. 1, pp. 12-17, June 2020. doi: 10.18178/jtle.8.1.12-17
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