Alabama placed under a heat advisory until Tuesday night

The National Weather Service released a heat advisory at 10:42 p.m. on Monday in effect until Tuesday at 9 p.m. for Blount, Etowah, Calhoun, Cherokee, Jefferson, Shelby, St. Clair, Talladega, Chilton, Coosa, Tallapoosa, Chambers, Elmore, Macon, Bullock, Lee, Russell, Pike and Barbour counties.

The weather service adds to prepare for, “Heat index values up to 107 degrees.”

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

Mastering the heat: Guidelines for staying safe in high temperatures

  • Stay hydrated: Drink plenty of fluids.
  • Seek shelter: Stay indoors in an air-conditioned room to keep cool.
  • Avoid sun exposure: Stay out of the sun, and check up on relatives and neighbors.
  • Child and pet safety: Never leave young children and pets unattended in vehicles, especially when car interiors can reach lethal temperatures within minutes.
  • Caution outdoors: If you must work or spend time outdoors, take extra precautions.
  • Select the ideal time: If possible, move strenuous activities to early morning or evening for more favorable conditions.
  • Recognize heat-related issues: Recognize the warning signs and familiarize yourself with symptoms of heat exhaustion and heat stroke.
  • Dress comfortably: Wear lightweight, loose-fitting clothing to stay comfortable.

Additional recommendations for outdoor workers:

  • The Occupational Safety and Health Administration (OSHA) recommends frequent rest breaks in shaded or air-conditioned areas for outdoor workers.
  • If someone succumbs to the heat, promptly relocate them to a cool, shaded location.
  • In emergencies, call 911 for immediate assistance.

These NWS heat safety directives are essential for safeguarding your well-being when facing high temperatures. Stay well-informed and take the necessary precautions to shield yourself and others from the potential hazards of extreme heat.

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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