경기도 기초지자체 대기환경 관리정책 지원을 위한 선행 연구

• 영문명: Preliminary Research to Support Air Quality Management Policies for Basic Local Governments in Gyeonggi-do
• 발행기관: 한국환경보건학회
• 저자명: 전찬일 강진구 오민영 최재형 신종현 황찬원
• 간행물 정보: 『1. 한국환경보건학회지』제49권 제5호, 275~288쪽, 전체 14쪽
• 주제분류: 공학 > 환경공학
• 파일형태: PDF
• 발행일자: 2023.10.31

영문 초록

Background: When basic local governments want to improve their air quality management policies, they need fundamental evidence, such as the effectiveness of current policies or scenario results. Objectives: The purpose of this study is to lay the groundwork for a process to calculate air pollutant reduction from basic local government air quality policies and provide numerical estimates of PM2.5 concentrations following improved policies. Methods: We calculated the amount of air pollutant reduction that can be expected in the research region based on the Gyeonggi-do Air Environment Management Implementation Plan issued in 2021 and guidelines from the Korean Ministry of Environment. The PM2.5 concentration variations were numerically simulated using the CMAQ (photochemical air quality model). Results: The research regions selected were Suwon, Ansan, Yongin, Pyeongtaek, and Hwaseong in consideration of population, air pollutant emissions, and geographical requirements. The expected reduction ratios in 2024 compared to 2018 are CO (3.0%), NOx (7.9%), VOCs (0.7%), SOx (0.1%), PM10 (2.4%), PM2.5 (6.1%), NH3 (0.05%). The reduced PM2.5 concentration ratio was highest in July and lowest in April. The expected concentration reduction of yearly mean PM2.5 in the research region is 0.12 μg/m3 (0.6%). Conclusions: Gyeonggi-do is now able to quickly provide air pollutant emission reduction calculations by respective policy scenario and PM2.5 simulation results, including for secondary aerosol particles. In order to provide more generalized results to basic local governments, it is necessary to conduct additional research by expanding the analysis tools and periods.

키워드

Air quality management CMAQ model emission reduction Gyeonggi-do PM2.5 simulation