A heat advisory was issued by the National Weather Service on Monday at 2:55 a.m. valid for Monday between 11 a.m. and 9 p.m. for Sumter, Greene, Hale, Perry, Marengo, Dallas, Autauga, Lowndes, Elmore, Montgomery, Macon, Bullock, Russell, Pike and Barbour counties.

“Heat index values up to 106 degrees expected,” adds the weather service. “Stay tuned for updates in the extent of the heat over the next few days.”

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

Weather service Heat wave safety tips: Stay safe with these recommendations

• Stay hydrated: Make sure to drink plenty of fluids.
• Seek shelter: Stay in an air-conditioned room.
• Avoid sun exposure: Avoid direct sun exposure, protect yourself and check on vulnerable 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: 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.
• Stay cool with clothing: Wear lightweight, loose-fitting clothing to help your body 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 is overwhelmed by the heat, swiftly 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.