Atmospheric pollution history at Linfen (China) uncovered by magnetic and chemical parameters of sediments from a water reservoir

Ma, Miling; Shouyun, HU; Lanzhu, Cao; Appel, Erwin; Wang, Longsheng

doi:10.1016/j.envpol.2015.04.028

Cited by 32 publications

(12 citation statements)

References 53 publications

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“…The methods that are traditionally used to determine trace metal concentrations are atomic absorption spectrometry, inductively coupled plasma (ICP) atomic emission spectroscopy, and ICP mass spectrometry, but they are relatively complex, time-consuming, and expensive. However, the trace metal contents of various environmental matrices can also be determined using environmental magnetic methods, which are simple, rapid, nondestructive, reliable, cost-efficient, and have been used in dust 17 – 20 , soil 21 – 24 , sediment 25 – 27 , and plants 22 , 24 , 28 – 30 . The utility of these methods is based on the association between trace metal pollution and ferromagnetic and/or ferrimagnetic particle emissions, because Fe is abundant in natural resources 18 , 24 .…”

Section: Introductionmentioning

confidence: 99%

Trace metals and magnetic particles in PM2.5: Magnetic identification and its implications

Wang

et al. 2017

Sci Rep

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Magnetic measurement was combined with geochemical analysis to investigate the trace metal pollution of PM2.5. The study was carried out in Nanjing, China, where the average PM2.5 concentrations in summer and winter in 2013–2014 were 66.37 and 96.92 μg/m3, respectively. The dominant magnetic mineral in PM2.5 had a low-coercivity pseudo-single domain and consisted of magnetite and hematite. Iron-oxide magnetic particles comprised spherical as well as angular particles. Stable Pb isotopic ratio determinations showed that Pb in summer samples derived from coal emissions while the main sources of winter samples were smelting industry and coal emissions. The magnetic properties of the particles correlated strongly with trace metals derived from anthropogenic activities, such as industrial emission, coal combustion, and traffic vehicle activities, but poorly with those derived from natural sources. In the multiple linear regression analysis, Cr and Fe had higher correlation coefficients (training R > 0.7) in contrast to the low training R of As, Cd, Ni, Sr, and Ti (<0.5) determined using the PM2.5 concentrations and magnetic parameter values as the decision variables. Our results support the use of environmental magnetism determinations as a simple and fast method to assess trace metals in urban particulate matter.

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Section: Introductionmentioning

confidence: 99%

Trace metals and magnetic particles in PM2.5: Magnetic identification and its implications

Wang

et al. 2017

Sci Rep

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“…China's rapid development of industry is in the last decades is attracting more attention in terms of pollution major rivers and coastal areas hydro ecosystems. China provides a huge mass of terrigenous sediments to the E3S Web of Conferences 234, 00048 (2021) https://doi.org/10.1051/e3sconf/202123400048 ICIES 2020 ICIES'2020 marginal seas of East Asia and the north-western Pacific, which makes a significant impact on the marine sedimentation, primary production and, in general, biogeochemical cycles [8,12,13,14,15]. A number of studies to determine and compare magnetic properties in different sedimentogenesis environments [13] covered the Changjiang (Yangtze) and Huanghe (Yellow) Rivers, the topsoil of Loess Plateaus, Taklimakan desert sand and dust storms.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For this purpose, the cores of bottom sediment were analysed, which were compared with the available data on air pollution. The regression equation between the magnetic properties of sediment, their chemical parameters and atmospheric monitoring data made it possible to reconstruct the history of air pollution in this region as fully as possible [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Magnetic particles in the sediments of the south Ukraine rivers as the marker of the technogenic impact on the hydroecosystems

Alokhina

2021

E3S Web Conf.

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Long-term and large-scale man-made activity in the mining areas affects to all components of the biosphere. The result of mining impact on hydroecosystems is addition to natural sources of sedimentary material technogenic components in large volumes. Magnetic particles are one of technogenic components which come with surface run-off to the river bed. We have studied the content of magnetic particles in the sediments of the south Ukraine rivers: the Inhulets River and the Inhul River ‒ the tributaries of the Dnieper and the Southern Buh, respectively. The Inhulets River flows along the Kryvyi Rih iron ore deposit, parallel the river there is a chain of open-pits, mines, mining and processing plants, a metallurgical plant. The results of our research were demonstrated within the Kryvyi Rih industrial agglomeration a number of magnetic particles in the sediment samples varies from 59,5% to 2,1%. Upstream from the Kryvyi Rih city on 10-15 km a number of magnetic particles is within 1,5%. Based on numerous sources of literature and own researches, it has been determined that detection of magnetic particles and properties is a convenient, cheap, quick and informative method of technogenic pollution studying of river sediments and also mirror the industrial history of the region.

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“…Coal and coke are mainly transported by road, and vehicle exhaust emissions are a serious problem. Linfen has been suffering perennial severe air pollution (Ma et al, 2015), and in January 2019, it had the worst air quality among Chinese cities (Air quality report and Control2019). Hence, raising awareness of air pollution in Linfen and providing scientific support to mitigate such pollution are urgent matters.…”

Section: Introductionmentioning

confidence: 99%

Characteristics and potential sources of wintertime air pollution in Linfen, China

Liu

Ma²,

Wang

et al. 2021

Environ Monit Assess

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Linfen in China’s Shanxi Province suffers severe air pollution in winter. Understanding the characteristics of air pollution and providing scientific support to mitigate such pollution are urgent matters. This study investigated the variations of PM 2.5 , PM 10 , NO 2 , SO 2 , O 3 , and CO in Linfen between December 1, 2019 and February 29, 2020. The mean concentrations of PM 2.5 , PM 10 , NO 2 , SO 2 , MDA8 (the maximum daily 8-h average) O 3 , and CO were 106.2, 139.4, 47.2, 41.0, 57.0 μg m −3 , and 1.8 mg m −3 , respectively. Large amounts of pollutants emitted by coal burning, industry, vehicles, and residents contributed to air pollution. Unfavorable meteorological conditions, such as lower temperature, weaker wind, higher relative humidity, and reduced planetary boundary layer height, made the situation worse. Fireworks and firecrackers set off to celebrate traditional Chinese festivals caused the concentration of PM pollutants to spike, with the maximum daily mean concentration of PM 2.5 reached 314 μg m −3 and the peak hourly value reached 378.0 μg m −3 . Suspensions of commercial and social activities due to COVID-19 reduced anthropogenic emissions, mainly from industry and transportation, which decreased the level of air pollutants other than O 3 . Analyses involving backward trajectory cluster, the potential source contribution function, and concentration weighted trajectory demonstrated that PM 2.5 pollution mainly came from local emissions in Shanxi Province and regional transport from Inner Mongolia, Shaanxi, Hebei, Henan, and Gansu provinces. Shanxi and its surrounding provinces should adopt measures such as tightening environmental management standards, promoting the use of renewable energy, and adjusting the transportation structure to reduce regional emissions. This study will help policy-makers draft plans and policies to reduce air pollution in Linfen. Supplementary Information The online version contains supplementary material available at 10.1007/s10661-021-09036-8.

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Atmospheric pollution history at Linfen (China) uncovered by magnetic and chemical parameters of sediments from a water reservoir

Cited by 32 publications

References 53 publications

Trace metals and magnetic particles in PM2.5: Magnetic identification and its implications

Trace metals and magnetic particles in PM2.5: Magnetic identification and its implications

Magnetic particles in the sediments of the south Ukraine rivers as the marker of the technogenic impact on the hydroecosystems

Characteristics and potential sources of wintertime air pollution in Linfen, China

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