At 11:21 p.m. on Tuesday, the National Weather Service issued an updated heat advisory valid for Wednesday between 10 a.m. and 7 p.m. for Marion, Lamar, Fayette, Winston, Walker, Blount, Pickens, Tuscaloosa, Jefferson, Shelby, St. Clair, Sumter, Greene, Hale, Perry, Bibb and Marengo counties.

The weather service states, “Heat index values up to 107 degrees expected.”

“Hot temperatures combined with high humidity may cause heat illnesses,” comments the weather service.

Heat safety: Protecting yourself in hot conditions

• Stay hydrated: Remember to drink plenty of fluids.
• Find cool shelter: Stay indoors in an air-conditioned room to keep cool.
• Avoid sun exposure: Stay out of the sun, and make sure to check up on relatives and neighbors.
• Child and pet safety: Never forget to safeguard young children and pets by not leaving them unattended in vehicles, especially during scorching weather when car interiors can become life-threateningly hot.
• Caution outdoors: When working or spending time outside, take extra precautions.
• Time your activities wisely: Whenever possible, reschedule strenuous activities to early morning or evening hours when temperatures are more manageable.
• Recognize heat-related issues: Educate yourself about the signs and symptoms of heat exhaustion and heat stroke.
• Stay cool with clothing: Wear lightweight, loose-fitting clothing to stay comfortable.

Additional tips 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 succumbs to the heat, promptly relocate them to a cool, shaded location.
• In emergency situations, dial 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.