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韩国温室气体-空气污染相互作用与协同效应模型(GAINS-韩国)的开发。

Development of a greenhouse gas - air pollution interactions and synergies model for Korea (GAINS-Korea).

作者信息

Woo Jung-Hun, Kim Younha, Choi Ki-Chul, Lee Yong-Mi, Jang Youjung, Kim Jinseok, Klimont Zbigniew, Kim Dai-Gon, Lee Jae-Bum, Jin Hyungah, Hu Hyejung, Ahn Young-Hwan

机构信息

Civil and Environmental Engineering, College of Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029, Korea.

Department of Technology Fusion Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029, Korea.

出版信息

Sci Rep. 2024 Feb 9;14(1):3372. doi: 10.1038/s41598-024-53632-w.

Abstract

This study aimed to create Greenhouse Gas - Air Pollution Interactions and Synergies (GAINS)-Korea, an integrated model for evaluating climate and air quality policies in Korea, modeled after the international GAINS model. GAINS-Korea incorporates specific Korean data and enhances granularity for enabling local government-level analysis. The model includes source-receptor matrices used to simulate pollutant dispersion in Korea, generated through CAMx air quality modeling. GAINS-Korea's performance was evaluated by examining different scenarios for South Korea. The business as usual scenario projected emissions from 2010 to 2030, while the air quality scenario included policies to reduce air pollutants in line with air quality and greenhouse gas control plans. The maximum feasible reduction scenario incorporated more aggressive reduction technologies along with air quality measures. The developed model enabled the assessment of emission reduction effects by both greenhouse gas and air pollutant emission reduction policies across 17 local governments in Korea, including changes in PM (particulate matter less than 2.5 μm) concentration and associated benefits, such as reduced premature deaths. The model also provides a range of visualization tools for comparative analysis among different scenarios, making it a valuable resource for policy planning and evaluation, and supporting decision-making processes.

摘要

本研究旨在创建韩国温室气体-空气污染相互作用与协同效应(GAINS)模型,这是一个仿照国际GAINS模型构建的、用于评估韩国气候和空气质量政策的综合模型。GAINS-韩国模型纳入了韩国的具体数据,并提高了精细程度,以便进行地方政府层面的分析。该模型包括通过CAMx空气质量模型生成的源-受体矩阵,用于模拟韩国的污染物扩散情况。通过研究韩国的不同情景对GAINS-韩国模型的性能进行了评估。照常情景预测了2010年至2030年的排放量,而空气质量情景则包括了根据空气质量和温室气体控制计划减少空气污染物的政策。最大可行减排情景纳入了更激进的减排技术以及空气质量措施。所开发的模型能够评估韩国17个地方政府实施的温室气体和空气污染物减排政策的减排效果,包括细颗粒物(小于2.5微米的颗粒物)浓度的变化以及相关益处,如过早死亡人数的减少。该模型还提供了一系列可视化工具,用于不同情景之间的比较分析,使其成为政策规划和评估的宝贵资源,并支持决策过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b200/10858138/1f036012f6f2/41598_2024_53632_Fig1_HTML.jpg

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