Heat advisory affecting Central Alabama until Wednesday night
A heat advisory was issued by the National Weather Service on Tuesday at 1:13 a.m. valid from 10 a.m. until Wednesday 9 p.m. for Lamar, Fayette, Pickens, Tuscaloosa, Sumter, Greene, Hale, Perry, Bibb, Chilton, Marengo, Dallas, Autauga and Lowndes counties.
“Heat index values up to 105 degrees expected,” explains the weather service. “Additional advisories will be likely needed through this week.”
“Hot temperatures and high humidity may cause heat illnesses,” comments the weather service.
Weather service Heat safety: A guide to staying safe in high temperatures
- Stay hydrated: Drink plenty of fluids.
- Seek shelter: Stay in an air-conditioned room.
- Avoid sun exposure: Stay out of the sun, and 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: Take extra precautions if you work or spend time outside.
- Optimal timing: 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.
- Stay cool with clothing: Wear lightweight and loose-fitting clothing.
Additional tips 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 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.