PREDICTION OF ROAD FLOODING WATER LEVEL USING RAIN FALL AND LIMITED INFORMATION FROM FLOODING SENSOR

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  • 水検知器の限られた水位情報と雨量による道路冠水の水位予測

Abstract

<p> Due to climate change, the frequency of intense rainfall will increase, and there are concerns that more rainwater will flow into roads in a shorter amount of time than before. Prediction of road flooding can be useful for determining safe routes for road users, and also for road managers to make traffic regulations more efficient. In this study, we used flooding sensors, which are battery operated radio device and lower cost and space-saving than continuous water level gauges, to predict road flooding. We aimed for practical road flooding prediction by focusing on flooding sensor and rainfall with a simple method. Since the water level information that can be obtained from water detectors is limited, this paper proposed a simplified model for a water level prediction. In a experiment, we applied this method to the rainfall from Typhoon No. 2 in June 2023 and information from flooding sensors at two locations in Saitama City. The predictions captured the general shape of water level changes. In order to understand the issues involved in introducing road flooding prediction into society, we developed an information system that visualizes road flooding prediction, and used this to obtain practical opinions from road administrators.</p>

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