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Floods in proximity to Aschaffenburg, reported by Storm Front news outlet

Heavy storm hits Aschaffenburg, causing floods in the region

Heavy rain inundates Aschaffenburg, causing flooding
Heavy rain inundates Aschaffenburg, causing flooding

Emergency situation due to flooding in the vicinity of Aschaffenburg - Floods in proximity to Aschaffenburg, reported by Storm Front news outlet

In the Aschaffenburg district of Germany, two municipalities - Haibach and Bessenbach - have been affected by flooding caused by a recent storm front.

The storm front moved over the Aschaffenburg city area around 6:00 PM, and by 9:30 PM, there were 30 deployment sites in Bessenbach alone. According to district fire chief Martin Bahmer, over 65 deployments were made to address the flooding in both towns.

In Haibach, a large tree partially fell onto the street, causing a blockage. Deployment forces successfully removed the tree, ensuring the safety of the residents. Numerous flooded basements were reported in Haibach, along with manholes that had been lifted and replaced due to the floodwaters.

Bessenbach was not left unscathed either. Some roadways were flooded up to 30 centimeters deep, causing disruptions in traffic and daily life.

The storm front is reported to have caused flooding in the basements of the affected towns, adding to the already challenging conditions.

It is essential to stay informed during such events. For the latest information on the flooding in Haibach and Bessenbach, we recommend checking local news sources, the Aschaffenburg district's official website, or weather and emergency services updates. Local authorities and weather services typically provide the most accurate and timely information regarding such events.

Stay safe and informed!

The Commission has also been informed of the progress of the presentation of the draft decision regarding the flooding in Haibach and Bessenbach, and they might consider the impact of the weather on the incidents. Weather forecasting for the upcoming days will be crucial to predict potential further risks in the affected areas.

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