Overviewing the air quality models on air pollution in Sichuan Basin, China

被引：67

作者：

Li, Xiaoju ^{[1
]}

Hussain, Siti Aslina ^{[1
]}

Sobri, Shafreeza ^{[1
]}

Said, Mohamad Syazarudin Md ^{[1
]}

机构：

[1] Univ Putra Malaysia, Fac Engn, Dept Chem & Environm Engn, Serdang 43400, Selangor, Malaysia

来源：

CHEMOSPHERE | 2021年 / 271卷

关键词：

Air quality; Air pollution; Atmospheric pollutant; Dispersion model; Photochemical model; Receptor mode; Content; FINE PARTICULATE MATTER; VOLATILE ORGANIC-COMPOUNDS; SOURCE APPORTIONMENT; PM2.5; CONCENTRATIONS; NITROGEN DEPOSITION; SOUTHWESTERN CHINA; TEMPORAL VARIATION; CHEMICAL-COMPOSITION; PREMATURE MORTALITY; TRANSPORT PATHWAYS;

D O I：

10.1016/j.chemosphere.2020.129502

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Most developing countries in the world face the common challenges of reducing air pollution and advancing the process of sustainable development, especially in China. Air pollution research is a complex system and one of the main methods is through numerical simulation. The air quality model is an important technical method, it allows researchers to better analyze air pollutants in different regions. In addition, the SCB is a high-humidity and foggy area, and the concentration of atmospheric pollutants is always high. However, research on this region, one of the four most polluted regions in China, is still lacking. Reviewing the application of air quality models in the SCB air pollution has not been reported thoroughly. To fill these gaps, this review provides a comprehensive narration about i) The status of air pollution in SCB; ii) The application of air quality models in SCB; iii) The problems and application prospects of air quality models in the research of air pollution. This paper may provide a theoretical reference for the prevention and control of air pollution in the SCB and other heavily polluted areas in China and give some(1)inspirations for air pollution forecast in other countries with complex terrain. (C) 2021 The Author(s). Published by Elsevier Ltd.

引用

页数：14

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