4.7 Article

Anthropogenic atmospheric nickel emissions and its distribution characteristics in China

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 417, 期 -, 页码 148-157

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2011.11.069

关键词

Nickel; Atmospheric emission; Fuels combustion; Metals smelting; China

资金

  1. National Natural Science Foundation of China [20677005, 40975061, 21177012]
  2. Beijing Natural Science Foundation [8113032]

向作者/读者索取更多资源

Nickel and its compounds are considered as potential human carcinogens, and atmospheric nickel is one of the major routes for human exposure. By applying the best available fuel-based or product-based emission factors and annual activity levels, a multiple-year comprehensive inventory of anthropogenic atmospheric nickel emissions in China is presented with temporal trend and spatial resolutions for the period of 1980-2009 from both fuels combustion sources and industrial producing processes. We estimate that the total atmospheric nickel emissions from all the sources have increased from 1096.07t in 1980 to 3933.71t in 2009, at an average annual growth rate of 4.5%. Therein, coal combustion is the leading source, attributing 63.4% of the national total nickel emissions in 2009; liquid fuels consumption ranks the second, contributing 12.4% of the totals; biofuels burning accounts for 8.4% and the remaining sources together contribute 15.8% of the totals. Significant spatial variations are demonstrated among provincial emissions and the most concentrated regions are the highly industrialized and densely populated areas like the Yangtze River Delta, the Pearl River Delta and the Beijing-Tianjin-Hebei region. Moreover, the overall uncertainties are estimated at -32.6%-37.7% by using Monte Carlo simulation, most of which come from non-ferrous metals smelting category, implying the urgent need for further investigation and field tests. This article may help to combat the increasing stress on air heavy metals pollution in China and provide useful information to calculate global mass balance models for hazardous trace elements. (C) 2011 Elsevier B.V. All rights reserved.

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