A complete atmospheric emission inventory of F, As, Se, Cd, Sb, Hg, Pb, and U from coal-fired power plants in Anhui Province, eastern China

Chen, Jian; Zhang, Bofei; Zhang, Suan; Zeng, Jiye; Chen, Ping; Liu, Wenzhong; Wang, Xingming

doi:10.1007/s10653-020-00753-6

Cited by 15 publications

(6 citation statements)

References 113 publications

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“…The total emissions of Hg, As, Pb, Cd, Cr, and Ni were estimated at 2305, 7443, 7891, 298, 3039, and 7131 kg in 2018, respectively. To be specific, Pb emissions summing up to 7891 kg contrasting cadmium emissions accumulating to 298 kg, this difference can be attributed to the chemical composition of coal [11]. In response to high Pb emissions from coal-fired power plants, by blending low-lead coal with high-lead coal, the overall lead content in the fuel mixture can be reduced.…”

Section: Annual Heavy Metal Particle Emissions From Coal-fired Power ...mentioning

confidence: 99%

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Establishment of multi-pollutant emission inventory for coal-fired power plants in Guangdong province: A comprehensive approach to air quality management

Qiu

2024

ACE

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Emissions of heavy metals from coal-fired power plants pose significant environmental and health risks. This study focuses on quantifying the point-source emissions of heavy metal elements from coal-fired power plants in Guangdong Province, a major economic region with numerous power plants. A bottom-up approach was used to calculate the emissions of mercury (Hg), arsenic (As), and other elements in 2018, along with scenario assumption analyses. The total emissions of Hg, As, Pb, Cd, Cr, and Ni were estimated at 2305, 7443, 7891, 298, 3039, and 7131 kg in 2018, respectively. In addition, the Pearl River Delta (PRD) region, due to its economic development and demand for electricity, has the highest levels of heavy metals emitted from coal-fired power plants in the region, accounting for 42.17-48.60% of the provincial emissions. Scenario simulations showed that the installation of advanced dust removal methods (e.g., LLT-ESP) significantly reduces heavy metal emissions compared to the baseline. It is crucial to continue investing in advanced dust removal technologies and enforce stricter regulations to further mitigate heavy metal emissions from coal-fired power plants.

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Section: Annual Heavy Metal Particle Emissions From Coal-fired Power ...mentioning

confidence: 99%

“…By the end of 2010, 1,591Mt of coal was used for power generation, accounting for about 50% of the country's total coal consumption, generating various trace element emissions [6]. Studies have focused on pollutant emissions from coal-fired power plants in other provinces as well as nationwide [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Establishment of multi-pollutant emission inventory for coal-fired power plants in Guangdong province: A comprehensive approach to air quality management

Qiu

2024

ACE

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“…In addition, there is a provincial road in the study area with frequent traffic activities. Based on actual investigations and data collection around the study area, the unknown source might be related to coal combustion [43][44][45], automobile exhaust emissions [46][47][48], tire wear [49], and household waste (such as batteries) [50], which are potential sources of HMs according to previous studies.…”

Section: Apcs-mlr Source Analysismentioning

confidence: 99%

Analysis of the Source Apportionment and Pathways of Heavy Metals in Soil in a Coal Mining Area Based on Machine Learning and an APCS-MLR Model

Chen,

Zhao,

Chen

et al. 2023

Minerals

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Long-term coal mining activities have led to severe heavy metal pollution in the soil environment of coal mining areas, posing significant threats to both ecological environments and human health. In this study, surface soil samples were collected from the overlying soil of coal gangue and the surrounding areas of the Panyi coal mine in Huainan. The concentrations of Cd, Zn, Cu, Ni, and Pb elements were determined. A self-organizing map (SOM) and an absolute principal component score multiple linear regression (APCS-MLR) receptor model were employed for the quantitative analysis of the soil’s heavy metal pollution sources and contributions. Additionally, this study focused on the analysis of the pathways of the relatively serious pollution of Cd. The results revealed that the average concentrations of heavy metals (Cd, Pb, Zn, Cu, Cr, and Ni) in the study area were 4.55, 0.59, 1.54, 0.69, 0.59, and 0.71 times the local soil background values, respectively. The concentrations of Cd and Zn exceeded the risk screening values at some sampling points, with exceedance rates of 44% and 8%, respectively, indicating a relatively serious Cd contamination. The sources of heavy metals in the soil in the study area were classified into four categories: mining activities, agricultural activities, weathering of natural matrices, and other unknown sources, with average contributions of 55.48 percent, 24.44 percent, 8.91 percent and 11.86 percent, respectively. Based on the spatial distribution of Cd, it was inferred that atmospheric deposition is one of the important pollution pathways of Cd in the study area. Cd profile distribution patterns and a surface water pollution survey showed that the farmland areas were affected by the irrigation water pathway to some extent. The vertical distribution of heavy metal content in the forest area showed a strong disorder, which was related to the absorption function of plant roots. The results of this study can help to improve the environmental management of heavy metal pollution so as to protect the ecological environment and human health.

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“…Considering the large portion of coal fly ash disposed of in the environment, the amount of Pb associated with it could be significant. Despite the extensive studies on the inventory of Pb emissions to the atmosphere from coal-fired power plants, ,− the output of Pb associated with coal fly ash disposal has not been fully quantified. This is of great importance because many of the coal ash disposal facilities continue to release coal ash and associated toxic metals including Pb into the environment. ,, …”

Section: Introductionmentioning

confidence: 99%

Isotopic Signatures and Outputs of Lead from Coal Fly Ash Disposal in China, India, and the United States

Wang

Dai

Cowan

et al. 2023

Environ. Sci. Technol.

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Despite extensive research and technology to reduce the atmospheric emission of Pb from burning coal for power generation, minimal attention has been paid to Pb associated with coal ash disposal in the environment. This study investigates the isotopic signatures and output rates of Pb in fly ash disposal in China, India, and the United States. Pairwise comparison between feed coal and fly ash samples collected from coal-fired power plants from each country shows that the Pb isotope composition of fly ash largely resembles that of feed coal, and its isotopic distinction allows for tracing the release of Pb from coal fly ash into the environment. Between 2000 and 2020, approx. 236, 56, and 46 Gg Pb from fly ash have been disposed in China, India, and the U.S., respectively, posing a significant environmental burden. A Bayesian Pb isotope mixing model shows that during the past 40 to 70 years, coal fly ash has contributed significantly higher Pb (∼26%) than leaded gasoline (∼7%) to Pb accumulation in the sediments of five freshwater lakes in North Carolina, U.S.A. This implies that the release of disposed coal fly ash Pb at local and regional scales can outweigh that of other anthropogenic Pb sources.

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A complete atmospheric emission inventory of F, As, Se, Cd, Sb, Hg, Pb, and U from coal-fired power plants in Anhui Province, eastern China

Cited by 15 publications

References 113 publications

Establishment of multi-pollutant emission inventory for coal-fired power plants in Guangdong province: A comprehensive approach to air quality management

Establishment of multi-pollutant emission inventory for coal-fired power plants in Guangdong province: A comprehensive approach to air quality management

Analysis of the Source Apportionment and Pathways of Heavy Metals in Soil in a Coal Mining Area Based on Machine Learning and an APCS-MLR Model

Isotopic Signatures and Outputs of Lead from Coal Fly Ash Disposal in China, India, and the United States

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