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Xuecheng Wu

Researcher at Zhejiang University

Publications -  175
Citations -  2293

Xuecheng Wu is an academic researcher from Zhejiang University. The author has contributed to research in topics: Holography & Particle. The author has an hindex of 22, co-authored 149 publications receiving 1605 citations. Previous affiliations of Xuecheng Wu include Nanjing University.

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Atmospheric Emission Characteristics and Control Policies of Five Precedent-Controlled Toxic Heavy Metals from Anthropogenic Sources in China

TL;DR: HMs emissions from specified anthropogenic sources under three different control scenarios for the target year 2015 are projected, and collaborative and specialized control strategies are proposed to meet the demand of emission reduction goals of different regions.
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Meteorological and chemical impacts on ozone formation: A case study in Hangzhou, China

TL;DR: Wang et al. as discussed by the authors investigated the effect of meteorological and chemical impacts on ozone formation in urban and suburban areas of Hangzhou, and concluded that the increasing automobiles and VOCs emissions from upwind area could result in ozone pollution in urban Hangzhou.
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Quantitative assessment of industrial VOC emissions in China: Historical trend, spatial distribution, uncertainties, and projection

TL;DR: In this article, the temporal trends of industrial volatile organic compound (VOC) emissions were comprehensively summarized for the 2011 to 2013 period, and the projections for 2020 to 2050 for China were set.
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Unit-based emission inventory and uncertainty assessment of coal-fired power plants

TL;DR: In this article, a unit-based emission inventory of coal-fired power plants in China was developed which contains unit capacity, coal consumption, emission control technology and geographical location, and the uncertainties at unit level of SO2, NOx, PM and PM2.5 were estimated to be −10.1%−∼−+5.4%,−−2.9% and−4.5%, respectively.
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Primary Air Pollutant Emissions and Future Prediction of Iron and Steel Industry in China

TL;DR: Wang et al. as discussed by the authors developed a process and technology-based methodology using information of the proportion of pig iron, crude steel, and rolled steel produced from different processes and technology.