Literature DB >> 29684881

Source-specific speciation profiles of PM2.5 for heavy metals and their anthropogenic emissions in China.

Yayong Liu1, Jia Xing2, Shuxiao Wang1, Xiao Fu3, Haotian Zheng1.   

Abstract

Heavy metals are concerned for its adverse effect on human health and long term burden on biogeochemical cycling in the ecosystem. In this study, a provincial-level emission inventory of 13 kinds of heavy metals including V, Cr, Mn, Co, Ni, Cu, Zn, As, Cd, Sn, Sb, Ba and Pb from 10 anthropogenic sources was developed for China, based on the 2015 national emission inventory of primary particulate matters and source category-specific speciation profiles collected from 50 previous studies measured in China. Uncertainties associated with the speciation profiles were also evaluated. Our results suggested that total emissions of the 13 types of heavy metals in China are estimated at about 58000 ton for the year 2015. The iron production is the dominant source of heavy metal, contributing 42% of total emissions of heavy metals. The emissions of heavy metals vary significantly at regional scale, with largest amount of emissions concentrated in northern and eastern China. Particular, high emissions of Cr, Co, Ni, As and Sb (contributing 8%-18% of the national emissions) are found in Shandong where has large capacity of industrial production. Uncertainty analysis suggested that the implementation of province-specific source profiles in this study significantly reduced the emission uncertainties from (-89%, 289%) to (-99%, 91%), particularly for coal combustion. However, source profiles for industry sectors such as non-metallic mineral manufacturing are quite limited, resulting in a relative high uncertainty. The high-resolution emission inventories of heavy metals are essential not only for their distribution, deposition and transport studies, but for the design of policies to redress critical atmospheric environmental hazards at local and regional scales. Detailed investigation on source-specific profile in China are still needed to achieve more accurate estimations of heavy metals in the future.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Emission; Heavy metals; PM(2.5); Source profile

Mesh:

Substances:

Year:  2018        PMID: 29684881     DOI: 10.1016/j.envpol.2018.04.047

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  5 in total

1.  Acid-extractable heavy metals in PM2.5 over Xi'an, China: seasonal distribution and meteorological influence.

Authors:  Pingping Liu; Yiling Zhang; Tiantian Wu; Zhenxing Shen; Hongmei Xu
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-13       Impact factor: 4.223

2.  Characteristics of PM2.5 in an Industrial City of Northern China: Mass Concentrations, Chemical Composition, Source Apportionment, and Health Risk Assessment.

Authors:  Wenyu Bai; Xueyan Zhao; Baohui Yin; Liyao Guo; Wenge Zhang; Xinhua Wang; Wen Yang
Journal:  Int J Environ Res Public Health       Date:  2022-04-29       Impact factor: 4.614

3.  Spatio⁻Temporal Relationship and Evolvement of Socioeconomic Factors and PM2.5 in China During 1998⁻2016.

Authors:  Yi Yang; Jie Li; Guobin Zhu; Qiangqiang Yuan
Journal:  Int J Environ Res Public Health       Date:  2019-03-30       Impact factor: 3.390

4.  Impact of the Coal Mining on the Spatial Distribution of Potentially Toxic Metals in Farmland Tillage Soil.

Authors:  Fang Li; Xinju Li; Le Hou; Anran Shao
Journal:  Sci Rep       Date:  2018-10-08       Impact factor: 4.379

5.  Potential Risks of PM2.5-Bound Polycyclic Aromatic Hydrocarbons and Heavy Metals from Inland and Marine Directions for a Marine Background Site in North China.

Authors:  Qianqian Xue; Yingze Tian; Xinyi Liu; Xiaojun Wang; Bo Huang; Hongxia Zhu; Yinchang Feng
Journal:  Toxics       Date:  2022-01-11
  5 in total

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