Landslide disrupts train traffic in Madhya Pradesh due to heavy rain
- Heavy rainfall in Madhya Pradesh has caused a landslide on the Shahdol-Katni railway route, leading to the cancellation of multiple passenger trains.
- The Murna River bridge has been inundated for the first time in 25 years, disrupting road connectivity between Shahdol and Umaria.
- Local authorities are responding to the flooding by evacuating residents to relief camps, highlighting the need for improved drainage systems.
Heavy rainfall in Madhya Pradesh has caused significant disruptions, particularly affecting train and road traffic. A landslide on the Shahdol-Katni railway route has led to the cancellation of several passenger trains, including Chirmiri-Katni, Bilaspur-Katni, and Chirmiri-Chandia services. Additionally, the Murna River bridge has been inundated for the first time in 25 years, cutting off road connectivity between Shahdol and Umaria. The Son River bridge on the Shahdol-Rewa route has also been affected by flooding. Local authorities have reported that low-lying areas are experiencing severe water-logging, prompting the evacuation of residents to relief camps. Shahdol ADM Rajesh Jain highlighted the impact of the heavy rains, which began Friday night and continued into Saturday morning. The inundation of the Murna River bridge has raised concerns among locals, who attribute the flooding to inadequate drainage systems in the area. In Bhopal, sporadic rainfall has led to similar flooding issues, affecting many low-lying regions. The meteorological department has issued a red alert for several districts, including Raisen and Jhabua, indicating the potential for very heavy rainfall in the coming days. Dr. Ved Pratap Singh from the meteorological department noted that a low-pressure area over the Rewa division is contributing to the adverse weather conditions. As the situation develops, authorities are closely monitoring the weather and its impact on infrastructure and public safety. The ongoing rainfall and resulting landslides highlight the vulnerability of the region to extreme weather events, necessitating improved preparedness and response strategies.