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Xiaorui Zhang

Researcher at Lanzhou University

Publications -  11
Citations -  331

Xiaorui Zhang is an academic researcher from Lanzhou University. The author has contributed to research in topics: Radiative forcing & Weather Research and Forecasting Model. The author has an hindex of 8, co-authored 10 publications receiving 194 citations.

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Journal ArticleDOI

Fugitive Road Dust PM2.5 Emissions and Their Potential Health Impacts.

TL;DR: The FRD PM2.5 emissions inventory in a major inland city in China in 2017 was constructed at high-resolution, the spatiotemporal characteristics of the FRD emissions in different urban function zones were investigated, and their health impacts were quantified.
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Quantifying contributions of natural and anthropogenic dust emission from different climatic regions

TL;DR: In this article, the authors quantitatively estimate the divergences in the natural and anthropogenic dust emission fluxes among different climatic regions, the total dust emissions at the global scale from 2007 to 2010 were simulated in this study.
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The Spatial and Temporal Distributions of Absorbing Aerosols over East Asia

TL;DR: The spatial-temporal distribution of absorbing aerosols over East Asia for the period of 2005–2016 was investigated based on the Ozone Monitoring Instrument (OMI) satellite retrievals and single-scattering albedo (SSA) shows overall downward trends, indicating the enhancement of the aerosol absorption.
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Sensitivity of simulating a dust storm over Central Asia to different dust schemes using the WRF-Chem model

TL;DR: In this paper, the authors evaluated the adaptability of different dust emission schemes and showed that the significant differences of dust emission between three dust schemes may essentially depend on the sensitivities of threshold friction velocity on surface property.
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Dust modeling over East Asia during the summer of 2010 using the WRF-Chem model

TL;DR: In this paper, an intense summer dust storm over East Asia during June 24-27, 2010 was systematically analyzed based on the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and a variety of in situ measurements and satellite retrievals.