On Sunday at 12:54 a.m. the National Weather Service issued a heat advisory valid for Sunday between 10 a.m. and 9 p.m. for Lamar, Fayette, Walker, Pickens, Tuscaloosa, Jefferson, Shelby, Talladega, Sumter, Greene, Hale, Perry, Bibb, Chilton, Coosa, Tallapoosa, Marengo, Dallas, Autauga, Lowndes, Elmore, Montgomery, Macon, Bullock, Lee, Russell, Pike and Barbour counties.

The weather service describes, “Heat index values up to 108 degrees expected.”

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

Tips from the weather service for staying safe during a heat wave

• Stay hydrated: Drink plenty of fluids.
• Seek 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: Be vigilant about never leaving young children and pets in vehicles without supervision, especially during periods of intense heat, as car interiors can quickly become extremely hot.
• Caution outdoors: Take extra precautions if you work or spend time outside.
• Select the ideal time: Consider rescheduling strenuous activities to early morning or evening if possible.
• Recognize heat-related issues: Recognize the warning signs and familiarize yourself with symptoms of heat exhaustion and heat stroke.
• Dress for comfort: Select lightweight and loose-fitting outfits for enhanced comfort.

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 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.