Gridemis V2.0: A highly integrated algorithm scheme for high-resolution and multi-component allocation of emission inventories used in air quality models

IF 4.8 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Environmental Modelling & Software Pub Date : 2025-03-04 DOI:10.1016/j.envsoft.2025.106416

Chuanda Wang , Wenjiao Duan , Shuiyuan Cheng , Xiaosong Hou , Junfeng Zhang , Yu Wang , Hanyu Zhang , Kai Wang , Rui Liu

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引用次数: 0

Abstract

A novel algorithm for generating multi-component, high-resolution emission inventories for air quality models (AQMs) was developed, enhancing the 0.01° spatial allocation scheme for points, lines, and surfaces based on land use, population density, and road networks. It incorporated localized chemical species allocation based on recent Volatile Organic Compounds (VOCs) and Particulate Matter (PM) composition, along with time allocation scheme utilizing monthly and hourly non-uniformity coefficients. The algorithm consists of four modules for grid calculation, refined inventory calculation, coarse grid interpolation, and model-ready inventory production. It achieved highly integrated and one-step workflow from raw parameter settings to direct model-ready emission files for simulations with CMAQ and CAMx. The Beijing-Tianjin-Hebei (BTH) region was used as example to introduce the production process and research characteristics of refined emission inventory. The results demonstrated that this algorithm effectively captures the spatiotemporal distribution and dynamics of atmospheric pollutants, offering significant support for emission and simulation research.

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来源期刊

Environmental Modelling & Software 工程技术-工程：环境

CiteScore

9.30

自引率

8.20%

发文量

241

审稿时长

60 days

期刊介绍： Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.