Predicting pm2.5, pm10, so2, no2, no and co air pollutant values with linear regression in r language

HIGHLIGHTS

• who: Zoltan Kazi and colleagues from the Emissions of dangerous gases into the atmosphere due to accidents, human activities, natural disasters, or other reasons are great threats to the human population, nature, and infrastructureAir pollution is one of the significant environmental problems that can cause adverse health effects, such as asthma, allergies, infections [1], cancer [2], and the risk of low birth weight [3]. These health-related issues are correlated with air pollution, particularly in traffic [4, ]. Therefore, air pollutants data acquisition, measurements, monitoring, evaluation model formulation [6], assessment [7], benchmarking [8], and forecasting [7, ] became increasingly . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.