Update: Heat advisory affecting Alabama until Saturday night

On Saturday at 1:12 a.m. the National Weather Service issued an updated heat advisory valid for Saturday between noon and 9 p.m. for Marion, Lamar, Fayette, Winston, Walker, Pickens, Tuscaloosa and Greene counties.

The weather service states, “Heat index values up to 105 degrees to 107 expected.”

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

Hot weather safety: Weather service tips for staying safe and healthy

• Stay hydrated: Keep yourself well-hydrated by drinking plenty of fluids.
• Seek cool shelter: Stay in an air-conditioned room.
• Avoid sun exposure: Stay out of the sun, and make sure to check up on relatives and neighbors.
• Child and pet safety: Take every precaution to never leave young children and pets alone in vehicles, especially in extreme heat when car interiors can quickly become hazardous.
• Caution outdoors: If you must work or spend time outdoors, 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: 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 to stay cool.

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 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.