A heat advisory was issued by the National Weather Service on Monday at 5 a.m. valid from 11 a.m. until Wednesday 8 p.m. for Northern Worcester and Southern Worcester as well as Franklin, Middlesex, Essex, Hampshire, Hampden, Norfolk, Suffolk, Bristol and Plymouth counties.
The weather service adds to expect, “Heat index values of 95 to 100 degrees Monday and Wednesday. Highest values expected on Tuesday with values up to 103 degrees.”
“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: Keep yourself well-hydrated by drinking plenty of fluids.
- Find cool 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: 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: If possible, move strenuous activities to early morning or evening for more favorable conditions.
- Recognize heat-related issues: Educate yourself about the signs and symptoms of heat exhaustion and heat stroke.
- Dress for comfort: 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.
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