Mingxi Du

Prof. Mingxi Du


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 May 2020 in Scientific Data
Verified
Journal Article
Open access
HWHongjian Weng
Hongjian Weng
JLJintai Lin
Jintai Lin
RMRandall Martin
Randall Martin
DMDylan B. Millet
Dylan B. Millet
LJLyatt Jaeglé
Lyatt Jaeglé
JMJun Meng
Jun Meng
Natural emissions of air pollutants from the surface play major roles in air quality and climate change. In particular, nitrogen oxides (NOx) emitted from soils contribute ~15% of global NOx emissions, sea salt aerosols are a major player in the climate and chemistry of the marine atmosphere, and biogenic emissions are the dominant source of non-methane volatile organic compounds at the global scale. These natural emissions are often estimated using nonlinear parameterizations, which are sensitive to the horizontal resolutions of inputted meteorological and ancillary data. Here we use the HEMCO model to compute these emissions worldwide at horizontal resolutions of 0.5° lat. × 0.625° lon. for 1980–2017 and 0.25° lat. × 0.3125° lon. for 2014–2017. We further offer the respective emissions at lower resolutions, which can be used to evaluate the impacts of resolution on estimated global and regional emissions. Our long-term high-resolution emission datasets offer useful information to study natural pollution sources and their impacts on air quality, climate, and the carbon cycle.

1 October 2017 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
MDMingxi Du
Mingxi Du
CPChanghui Peng
Changhui Peng
XWXiaoge Wang
Xiaoge Wang
HCHuai Chen
Huai Chen
MWMeng Wang
Meng Wang
QZQiuan Zhu
Qiuan Zhu

30 October 2019 in Nature Communications
Verified
Journal Article
Open access
PDF file
JLJintai Lin
Jintai Lin
MDMingxi Du
Mingxi Du
LCLulu Chen
Lulu Chen
KFKuishuang Feng
Kuishuang Feng
YLYu Liu
Yu Liu
KHKlaus Hubacek
Klaus Hubacek
In a globalized economy, production of goods can be disrupted by trade disputes. Yet the resulting impacts on carbon dioxide emissions and ambient particulate matter (PM2.5) related premature mortality are unclear. Here we show that in contrast to a free trade world, with the emission intensity in each sector unchanged, an extremely anti-trade scenario with current tariffs plus an additional 25% tariff on each traded product would reduce the global export volume by 32.5%, gross domestic product by 9.0%, carbon dioxide by 6.3%, and PM2.5-related mortality by 4.1%. The respective impacts would be substantial for the United States, Western Europe and China. A freer trade scenario would increase global carbon dioxide emission and air pollution due to higher levels of production, especially in developing regions with relatively high emission intensities. Global collaborative actions to reduce emission intensities in developing regions could help achieve an economic-environmental win-win state through globalization.

31 January 2025 in Nature Climate Change
Verified
Journal Article
Closed access
PDF file
YLYu Liu
Yu Liu
MDMingxi Du
Mingxi Du
LYLingyu Yang
Lingyu Yang
QCQi Cui
Qi Cui
YLYawen Liu
Yawen Liu
CHCanfei He
Canfei He

7 February 2018 in Earth's Future
Verified
Journal Article
Open access
PDF file
MDMingxi Du
Mingxi Du
QZQiu’an Zhu
Qiu’an Zhu
XWXiaoge Wang
Xiaoge Wang
PLPeng Li
Peng Li
BYBin Yang
Bin Yang
CPChanghui Peng
Changhui Peng
Methane accounts for 20% of the global warming caused by greenhouse gases, and wastewater is a major anthropogenic source of methane. Based on the Intergovernmental Panel on Climate Change greenhouse gas inventory guidelines and current research findings, we calculated the amount of methane emissions from 2000 to 2014 that originated from wastewater from different provinces in China. Methane emissions from wastewater increased from 1349.01 to 3430.03 Gg from 2000 to 2014, and the mean annual increase was 167.69 Gg. The methane emissions from industrial wastewater treated by wastewater treatment plants (EIt) accounted for the highest proportion of emissions. We also estimated the future trend of industrial wastewater methane emissions using the artificial neural network model. A comparison of the emissions for the years 2020, 2010, and 2000 showed an increasing trend in methane emissions in China and a spatial transition of industrial wastewater emissions from eastern and southern regions to central and southwestern regions and from coastal regions to inland regions. These changes were caused by changes in economics, demographics, and relevant policies.

21 April 2023 in Trends in Plant Science
Verified
Journal Article
Closed access
QLQiuyu Liu
Qiuyu Liu
CPChanghui Peng
Changhui Peng
RSRobert Schneider
Robert Schneider
DCDominic Cyr
Dominic Cyr
ZLZelin Liu
Zelin Liu
DKDaniel Kneeshaw
Daniel Kneeshaw