{"title":"A recent emission inventory of S/IVOCs with high-resolution and evaluation in the Yangtze River Delta region of China","authors":"Tongai Song, Tian Fu, Pengjie Gao, Tianliang Zhao, Xingna Yu","doi":"10.1016/j.partic.2025.03.010","DOIUrl":null,"url":null,"abstract":"<div><div>Semi-volatile and intermediate volatility organic compounds (S/IVOCs), as the key precursors, play an important role in forming secondary organic aerosol (SOA). However, the absence of S/IVOCs in the model has led to a significant gap between simulation and measurement of SOA. Although the emission inventory of S/IVOCs is prerequisite for improving the performance of SOA simulation and evaluating the roles of S/IVOCs in SOA production, a gridded anthropogenic emission inventory of S/IVOCs in the Yangtze River Delta (YRD) region is still limited. Therefore, a 2021-based high spatiotemporal resolution S/IVOCs emission inventory over the YRD region was developed in this study. The total emission of S/IVOCs for the YRD region was estimated to be 457.58 Gg. The industrial process was the major contributor to total emissions in Shanghai City, Anhui, and Jiangsu provinces with contributions of more than 40%, while on-road mobile sources contributed the most to S/IVOCs emissions in Zhejiang Province. High S/IVOCs emissions were mainly distributed in the central cities of the YRD with developed industry and transportation, such as Wuhu and Suzhou (Jiangsu), and in the northern cities with larger cultivated areas, such as Xuzhou and Yancheng. The uncertainty range of S/IVOCs emissions established in this study was −68%∼214%. Industrial process, industrial combustion, and on-road mobile were the sources with higher uncertainties of S/IVOCs emissions. A comprehensive S/IVOCs emission inventory established in this study can be used to estimate the emissions of S/IVOCs in 41 cities over the YRD region and can be applied to air quality models for a better understanding of the formation mechanism of SOA over the YRD region.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"100 ","pages":"Pages 186-195"},"PeriodicalIF":4.1000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particuology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674200125000847","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Semi-volatile and intermediate volatility organic compounds (S/IVOCs), as the key precursors, play an important role in forming secondary organic aerosol (SOA). However, the absence of S/IVOCs in the model has led to a significant gap between simulation and measurement of SOA. Although the emission inventory of S/IVOCs is prerequisite for improving the performance of SOA simulation and evaluating the roles of S/IVOCs in SOA production, a gridded anthropogenic emission inventory of S/IVOCs in the Yangtze River Delta (YRD) region is still limited. Therefore, a 2021-based high spatiotemporal resolution S/IVOCs emission inventory over the YRD region was developed in this study. The total emission of S/IVOCs for the YRD region was estimated to be 457.58 Gg. The industrial process was the major contributor to total emissions in Shanghai City, Anhui, and Jiangsu provinces with contributions of more than 40%, while on-road mobile sources contributed the most to S/IVOCs emissions in Zhejiang Province. High S/IVOCs emissions were mainly distributed in the central cities of the YRD with developed industry and transportation, such as Wuhu and Suzhou (Jiangsu), and in the northern cities with larger cultivated areas, such as Xuzhou and Yancheng. The uncertainty range of S/IVOCs emissions established in this study was −68%∼214%. Industrial process, industrial combustion, and on-road mobile were the sources with higher uncertainties of S/IVOCs emissions. A comprehensive S/IVOCs emission inventory established in this study can be used to estimate the emissions of S/IVOCs in 41 cities over the YRD region and can be applied to air quality models for a better understanding of the formation mechanism of SOA over the YRD region.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.