Yueqi Jiang

Dados Biográficos

ID7301474
NOMEYueqi Jiang
PRENOMESYueqi
SOBRENOMEJiang
ASSINATURAJIANG Y
AFILIAÇÕESTsinghua University
ORCID0000-0001-7900-3084
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0

  • Air quality and heath co-benefits of low carbon transition policies in electricity system

    Open AccessZhengquan Guo, Zheng-Quan Guo et al.ARTICLEEnvironmental Research Letters2024

    Low carbon transition strategies of power plants are crucial to meet China’s ‘Dual Carbon’ targets. While the Beijing–Tianjin–Hebei (BTH) region, the ‘capital economic circles’ of China, is suffering from serious air pollution, air quality co-benefits of low carbon transition policies in electricity system in BTH area remain unclear. Here, we estimate the impacts of low carbon transition policies, including one BAU, six single and five combined s…

  • Yinma Jiedu Granule attenuates LPS-induced acute lung injury in rats via suppressing inflammation level

    Open AccessGen Li, Jingwei Ma et al.ARTICLEJournal of Ethnopharmacology2023

  • Ambient fine particulate matter and ozone pollution in China

    Open AccessYueqi Jiang, Shuxiao Wang et al.ARTICLEEnvironmental Research Letters2022

    Since 2013, China has taken a series of actions to relieve serious PM 2.5 pollution. As a result, the annual PM 2.5 concentration decreased by more than 50% from 2013 to 2021. However, ozone pollution has become more pronounced, especially in the North China Plain. Here, we review the impacts of anthropogenic emissions, meteorology, and atmospheric processes on ambient PM 2.5 loading and components and O 3 pollution in China. The reported influen…

  • Wind-blown dust and its impacts on particulate matter pollution in Northern China

    Open AccessSong Liu, Jia Xing et al.ARTICLEEnvironmental Research Letters2021

    Northern China experienced two intense dust storms in March 2021, leading to reduced visibility and excessive particulate pollution. Understanding the cause of such extreme phenomena is important for further prevention. This study successfully reproduced the extreme dust storms using the Community Multiscale Air Quality model with refined bulk density of different soil types and improved spatial resolution. The wind-blown PM 2.5 and PM 10 are est…