Update of the year 2019 modeling emission inventory in China

IF 1.1 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Asian Journal of Atmospheric Environment Pub Date : 2023-12-06 DOI:10.1007/s44273-023-00012-x
Seoyeon Kim, Jinseok Kim, Hyejung Hu, Meongdo Jang, Jae-Bum Lee, Sung Chul Hong, Okgil Kim, Jung-Hun Woo
{"title":"Update of the year 2019 modeling emission inventory in China","authors":"Seoyeon Kim,&nbsp;Jinseok Kim,&nbsp;Hyejung Hu,&nbsp;Meongdo Jang,&nbsp;Jae-Bum Lee,&nbsp;Sung Chul Hong,&nbsp;Okgil Kim,&nbsp;Jung-Hun Woo","doi":"10.1007/s44273-023-00012-x","DOIUrl":null,"url":null,"abstract":"<div><p>Using updated emission inventories can enhance the accuracy of air quality forecast models. Given China’s rapid economic growth and Korea’s geographical and meteorological position on the windward side of China, updating China’s emission inventory has become particularly crucial for Korea’s air quality modeling. This study aimed to develop an updated version of China’s Emission Inventory in Comprehensive Regional Emissions for Atmospheric Transport Experiments version 3 for the base year of 2019 (CREATEv3 (YR 2019)). To achieve this goal, we utilized the Chinese emission inventory of CREATEv3 for the base year of 2015 (CREATEv3 (YR 2015)) as a framework to incorporate the latest Chinese emission data from the Multi-resolution Emission Inventory Model for Climate and Air Pollution Research for the base year of 2019 (MEIC COVID-19 (YR 2019)) and update the inventory. The updated China’s annual emissions are now reflected in CREATEv3 (YR 2019), and the amounts are as follows: 132 Tg for CO, 21 Tg for NO<sub><i>x</i></sub>, 8 Tg for SO<sub>2</sub>, 7 Tg for PM<sub>2.5</sub>, 9 Tg for NH<sub>3</sub>, and 28 Tg for volatile organic compound (VOC). By comparing previous Chinese emission inventories with the updated inventory developed in this study, it was found that SO<sub>2</sub>, NO<sub><i>x</i></sub>, VOC, and NH<sub>3</sub> emissions were decreased. Therefore, using the updated inventory seemingly reduces the impact of China’s fine dust on Korea. By comparing emissions by pollutant and region in China using CREATEv3 (YR 2019), it was found that regions with high emissions of targeted pollutants strongly correlated with major industries operating in those areas. This study is expected to provide insights into China’s emission changes in 2019 and support air quality forecasting.</p></div>","PeriodicalId":45358,"journal":{"name":"Asian Journal of Atmospheric Environment","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s44273-023-00012-x.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Atmospheric Environment","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s44273-023-00012-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Using updated emission inventories can enhance the accuracy of air quality forecast models. Given China’s rapid economic growth and Korea’s geographical and meteorological position on the windward side of China, updating China’s emission inventory has become particularly crucial for Korea’s air quality modeling. This study aimed to develop an updated version of China’s Emission Inventory in Comprehensive Regional Emissions for Atmospheric Transport Experiments version 3 for the base year of 2019 (CREATEv3 (YR 2019)). To achieve this goal, we utilized the Chinese emission inventory of CREATEv3 for the base year of 2015 (CREATEv3 (YR 2015)) as a framework to incorporate the latest Chinese emission data from the Multi-resolution Emission Inventory Model for Climate and Air Pollution Research for the base year of 2019 (MEIC COVID-19 (YR 2019)) and update the inventory. The updated China’s annual emissions are now reflected in CREATEv3 (YR 2019), and the amounts are as follows: 132 Tg for CO, 21 Tg for NOx, 8 Tg for SO2, 7 Tg for PM2.5, 9 Tg for NH3, and 28 Tg for volatile organic compound (VOC). By comparing previous Chinese emission inventories with the updated inventory developed in this study, it was found that SO2, NOx, VOC, and NH3 emissions were decreased. Therefore, using the updated inventory seemingly reduces the impact of China’s fine dust on Korea. By comparing emissions by pollutant and region in China using CREATEv3 (YR 2019), it was found that regions with high emissions of targeted pollutants strongly correlated with major industries operating in those areas. This study is expected to provide insights into China’s emission changes in 2019 and support air quality forecasting.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
中国 2019 年模拟排放清单更新
使用更新的排放清单可以提高空气质量预测模型的准确性。鉴于中国经济的快速增长和韩国位于中国迎风面的地理和气象位置,更新中国的排放清单对韩国的空气质量建模尤为重要。本研究的目的是在大气传输综合区域排放实验第三版(CREATEv3 (YR 2019))中编制以 2019 年为基准年的中国排放清单更新版。为实现这一目标,我们以 CREATEv3 中 2015 年基准年的中国排放清单(CREATEv3 (YR 2015))为框架,将气候和空气污染研究多分辨率排放清单模型中 2019 年基准年(MEIC COVID-19 (YR 2019))的最新中国排放数据纳入其中,并对清单进行了更新。更新后的中国年排放量现已反映在 CREATEv3(2019 年)中,其数量如下:一氧化碳(CO)132 千兆克,氮氧化物(NOx)21 千兆克,二氧化硫(SO2)8 千兆克,PM2.5 7 千兆克,氮氧化物(NH3)9 千兆克,挥发性有机化合物(VOC)28 千兆克。通过将中国以前的排放清单与本研究制定的更新清单进行比较,发现二氧化硫、氮氧化物、挥发性有机化合物和 NH3 的排放量均有所减少。因此,使用更新后的清单似乎减少了中国微尘对韩国的影响。通过使用 CREATEv3(2019 年)按污染物和地区对中国的排放量进行比较,发现目标污染物排放量高的地区与在这些地区运营的主要工业密切相关。这项研究有望为中国 2019 年的排放变化提供见解,并为空气质量预测提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Asian Journal of Atmospheric Environment
Asian Journal of Atmospheric Environment METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
2.80
自引率
6.70%
发文量
22
审稿时长
21 weeks
期刊最新文献
Characteristic of PM2.5 concentration and source apportionment during winter in Seosan, Korea A case study on the effect of contaminated inlet tubes on the accuracy of mid-cost optical particle counters for the ambient air monitoring of fine particles Vertical profile measurements for ammonia in a Japanese deciduous forest using denuder sampling technique: ammonia emissions near the forest floor Assessment of vehicle exhaust PM emissions using high-resolution on-road measurements in Seoul, Korea Satellite measurement data-based assessment of spatiotemporal characteristics of ultraviolet index (UVI) over the state of Johor, Malaysia
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1