Atmospheric emissions of PCDDs and PCDFs in China from 1960 to 2014
Atmospheric emissions of PCDDs and PCDFs in China from 1960 to 2014
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1960-2014年中国大气PCDDs和PCDFs排放量
DOI：
10.1016/j.jhazmat.2021.127320
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发表时间：
2022
影响因子：
13.6
通讯作者：
Min Liu
中科院分区：
文献类型：
--
作者：
Ye Huang;Yan Chen;Ye Li;Lianghua Zhou;Shanshan Zhang;Jinze Wang;Wei Du;Jing Yang;Long Chen;Wenjun Meng;Shu Tao;Min Liu
多氯二苯并对二恶英（PCDD）和多氯二苯并呋喃（PCDF）的定量是《关于持久性有机污染物（POP）的斯德哥尔摩公约》的一项要求，对于评估和了解其环境归宿和相关健康风险至关重要。遗憾的是，估算中国多氯二苯并对二恶英/多氯二苯并呋喃排放量的工作有限，特别是在历史趋势和空间分布信息方面。在这项研究中，从1960年到2014年，对来自79个来源的17种有毒PCDD/Fs同系物的省级排放进行了量化，并通过应用特定来源，每年变化的排放因子（EF）数据集获得了2014年的0.1º × 0.1º网格排放量，其时间趋势与中国的测量结果相似。1980年前后，全国多氯二苯并对二恶英和多氯二苯并呋喃的排放量一直呈上升趋势，随后由于水泥生产和废物焚烧的排放量减少而趋于稳定。东北、华东、华南和台湾省的水泥生产和垃圾焚烧排放量的减少是1980年后全国排放量稳定的主要原因。在空间上，排放密度与人口和国内生产总值密度的高度正相关，但没有观察到明确的时间模式。排放密度按城市、城镇和农村地区的顺序呈下降趋势，而人均排放量则相反。
Quantification of polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) is a requirement of the Stockholm Convention on persistent organic pollutants (POPs), and essential to evaluate and understand their environmental fate and associated health risks. Unfortunately, works estimating the emission of PCDD/Fs in China are limited, especially in terms of historical trends and information on spatial distribution. In this study, provincial emissions of 17 toxic PCDD/Fs congeners from 79 sources were quantified from 1960 to 2014, and 0.1º × 0.1º gridded emissions for 2014 were obtained by applying a source-specific, annually varying emission factor (EF) dataset with similar time trends as measurements for China. Historical national PCDD/F emissions showed an increasing trend until around 1980, and then plateaued due to decreased emissions from cement production and waste burning. Decreased emissions from cement production and waste burning in northeast, east, and south China, and Taiwan province were the main causes for the stabilized national emissions after 1980. Spatially, highly positive correlations of emission densities with population and GDP densities were identified, but no clear temporal patterns were observed. Emission densities showed a decreasing trend in the order of cities, towns and rural areas, while the opposite was seen for per capita emissions.