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http://dx.doi.org/10.14249/eia.2022.31.6.378

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

No Ol, Lim (Korea University)
Hyun Chan, Sung (Korea University)
Sun Jeong, Kim (Yooshin Engineering Corporation)
Ji Young, Kim (Yooshin Engineering Corporation)
Seong Woo, Jeon (Korea University)
Publication Information
Journal of Environmental Impact Assessment / v.31, no.6, 2022 , pp. 378-387 More about this Journal
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.
Keywords
Environmental Impact Assessment prediction; Post-environmental Impact Assessment; Air quality management; Improvement directions;
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