On September 30, the car navigation app “Car Navi Time” started offering “Flood Caution Points” and “Hazard Maps”.
“Flood caution points” is a function that allows you to check on the “hazard map” about 3,600 points nationwide that may be flooded due to heavy rain. Flood warning icons are displayed on all “Hazard Maps”, and when you tap the icon, you can also check the name of the place, such as Shibuya Station Underpass, Meguro-dori Underpass.
The “Hazard Map” corresponds to seven types: floods, debris flows, landslides, landslides, storm surges, tsunamis, and avalanches. You can select the map you want to check from “Hazard Map” in the map menu. It is also linked to real-time warning issuance, and when a heavy rain special warning, heavy rain warning, flood warning, storm surge warning, heavy rain warning, flood advisory, or storm surge advisory is issued, “Hazard Map” in the map menu The button will indicate that a special warning, warning, or advisory has been issued, and call attention to it.
In recent years, the number of annual occurrences of rainfall of 50 mm or more per hour has been on the rise, and the average annual number of occurrences over the last 10 years has increased by about 1.4 times compared to the beginning of the statistics (1976)*. From August 2021, “Car Navi Time” will provide a “Flood Warning Point Guidance” function that will issue a voice alert when approaching a flood warning point on the route while driving, taking into consideration the rainfall situation. However, with this support, you will be able to check the flood warning points and hazard maps on the map before departure, and you will be able to visually grasp the warning points not only on the route but also in the surrounding area. By switching the map after searching for a route, you can check the flood caution points and caution areas on the hazard map while looking at the planned driving route.
*From the Japan Meteorological Agency’s website “National (AMeDAS) number of annual occurrences of 50mm or more of hourly rainfall”.
https://www.data.jma.go.jp/cpdinfo/extreme/extreme_p.html
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