The Relief Commissioner’s Office has issued an advisory urging residents, farmers and local administrations to take precautionary measures. According to the forecast cited in the advisory, wind speeds could reach 50 kmph in some areas, while daytime temperatures may drop by 5–8 degrees Celsius.
A yellow alert has been issued for October 28 in Sonbhadra, Mirzapur, Chandauli, Varanasi, Bhadohi, Ghazipur and Ballia, where winds of 30–40 kmph are expected. An orange alert has been indicated for several districts on October 29, with the possibility of heavy rainfall and winds reaching 40–50 kmph.
Rain Expected Across Several Regions
Rainfall is also forecast in Chitrakoot, Kaushambi, Prayagraj, Fatehpur, Pratapgarh, Rae Bareli, Amethi and Sultanpur. On October 30, several districts in eastern Uttar Pradesh, Awadh and the Terai region, along with Bareilly, Pilibhit and Shahjahanpur, may experience heavy rain and strong winds.
The administration has been advised to remain vigilant and take appropriate precautionary measures in view of the changing weather conditions.
Authorities have urged residents to follow official weather warnings and administrative instructions. During thunderstorms and strong winds, people should take shelter in sturdy buildings and stay away from trees, electricity poles and weak structures. Unnecessary travel should be avoided, and people have been advised to remain away from open fields and water bodies during lightning.
Farmers Advised to Protect Crops and Livestock
Farmers have been urged to take precautionary steps to protect standing crops and harvested agricultural produce from unseasonal rainfall. Livestock should be moved to safe locations to minimise the risk of weather-related losses.
The Relief Commissioner’s Office has also advised people to monitor official weather bulletins and alerts issued through the Sachet app for the latest updates.
The state administration is emphasising preparedness and public awareness to minimise potential damage to crops, property and livestock during the forecast period.
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