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Consistency Analysis between Predicted and Measured PM10 and NO2 Air Quality During Environmental Impact Assessment of Linear Construction Projects

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2022, 31(6), pp.378-387
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering
  • Received : September 22, 2022
  • Accepted : December 22, 2022
  • Published : December 31, 2022

Lim, No Ol 1 Sung, Hyun-Chan 2 Sun Jeong Kim 3 Ji Young Kim 3 JEON SEONG WOO 1

1고려대학교
2고려대학교 환경GIS/RS센터
3(주)유신

Accredited

ABSTRACT

Since air pollution has become a global issue to be managed, the Republic of Korea (ROC) is protecting air quality by predicting the air condition before a construction project starts through EnvironmentalImpact Assessment (EIA) and measuring the air condition afterwards the construction project ends through Post-environmental Impact Assessment (PEIA). The aim of this study consists on verifying the predicted and measured concentration data and analyzing their consistency in order to deduce improvement directions. Linear EIA projects which the investigation during operation period have been concluded between years 2017 and 2019 were used. As a result, the following improvement directions were suggested: reduction of EIA air quality standards, strengthen the management of projects with construction duration longer than 5 years, incorporation of first or second quarter (winter or spring) into the investigation period, consideration of construction equipment or conditions for better prediction. The strength of this study is that we arranged and utilized EIA predicted and PEIA measured data to understand the present EIA procedure and made meaningful suggestions through the consistency analysis contributing to air quality maintenance and investigation methodology enhancement.

Citation status

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