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6 Massachusetts counties under an excessive heat watch from Tuesday to Friday

An excessive heat watch was issued by the National Weather Service on Sunday at 2:25 a.m. valid from Tuesday noon until Friday 7 p.m. for Franklin, Middlesex, Essex, Hampshire, Hampden and Norfolk counties.

The weather service states, “Dangerously hot conditions with afternoon heat index values up to 105 degrees possible.”

“Heat related illnesses increase significantly during extreme heat and high humidity events,” comments the weather service.

Weather service Heat safety: A guide to staying safe in high temperatures

  • Stay hydrated: Drink plenty of fluids.
  • Find cool shelter: Opt for an air-conditioned room to stay comfortable.
  • Avoid sun exposure: Avoid direct sun exposure, protect yourself and check on vulnerable 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: When working or spending time outside, take extra precautions.
  • Optimal timing: When possible, reschedule strenuous activities to early morning or evening.
  • Recognize heat-related issues: Learn to identify the warning signs of heat exhaustion and heat stroke.
  • Dress comfortably: Select lightweight and loose-fitting outfits for enhanced comfort.

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 emergencies, call 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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