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Update: North Alabama under a heat advisory Sunday


On Saturday at 9:28 p.m. an updated heat advisory was issued by the National Weather Service valid for Sunday between 10 a.m. and 7 p.m. for Lauderdale, Colbert, Franklin, Lawrence, Limestone, Madison, Morgan, Marshall, Jackson, DeKalb and Cullman counties.

The weather service describes, “Heat index values up to 109 degrees expected.”

“Hot temperatures and high humidity may cause heat illnesses,” describes the weather service.

Beating the heat: Weather service Heat safety guidelines

  • Stay hydrated: Remember to drink plenty of fluids.
  • Seek cool shelter: Opt for an air-conditioned room to stay comfortable.
  • Avoid sun exposure: Stay out of the sun, and check up on relatives and neighbors.
  • Child and pet safety: Do not leave young children and pets unattended in vehicles when car interiors can reach lethal temperatures in a matter of minutes.
  • Caution outdoors: If you work or spend time outside, be sure to take additional safety measures.
  • Select the ideal time: Whenever possible, reschedule strenuous activities to early morning or evening hours when temperatures are more manageable.
  • Recognize heat-related issues: Familiarize yourself with warning signs and how tp recognize the symptoms of heat exhaustion and heat stroke.
  • Dress comfortably: Wear lightweight and loose-fitting clothing.

Additional recommendations for outdoor workers:

  • For outdoor workers, the Occupational Safety and Health Administration (OSHA) recommends regular rest breaks in shaded or air-conditioned areas.
  • If someone is overwhelmed by the heat, swiftly relocate them to a cool, shaded location.
  • In emergency situations, dial 911 for immediate assistance.

These NWS heat safety recommendations are vital for your well-being during periods of high temperatures. Stay informed and take the necessary steps to protect yourself and others from the heat’s potentially dangerous effects.

Advance Local Weather Alerts is a service provided by United Robots, which uses machine learning to compile the latest data from the National Weather Service.



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