2014
DOI: 10.1007/s11356-014-3611-3
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Mercury distribution in sediment along urban–rural gradient around Shanghai (China): implication for pollution history

Abstract: The increasing levels of heavy metals in the environment generally related with the rapid industrialization and urbanization. Mercury (Hg) is a global toxin with wide concerns, and China gradually becomes the main producer, consumer, and emitter of Hg in the world. However, few historical data are available on the occurrence of Hg in Chinese urban areas. Here, we collected 35 lake surface sediment samples from 35 public parks and 1 sediment core in the Luxun Park in Shanghai, a hyper-urbanization city in China… Show more

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Cited by 9 publications
(2 citation statements)
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“…Energy consumption increased from 32 million tons of standard coal in 1990 to 119 million tons in 2017, with an average annual growth rate of 10.07% [30]. With the rapid development of urbanization, heavy-metal concentrations in various media in the city has increased [22,31,32]. As a dominant species in the Yangtze River Delta, camphor trees ( Cinnamomum camphora ) are often used as a test organism for pollutants [33].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Energy consumption increased from 32 million tons of standard coal in 1990 to 119 million tons in 2017, with an average annual growth rate of 10.07% [30]. With the rapid development of urbanization, heavy-metal concentrations in various media in the city has increased [22,31,32]. As a dominant species in the Yangtze River Delta, camphor trees ( Cinnamomum camphora ) are often used as a test organism for pollutants [33].…”
Section: Methodsmentioning
confidence: 99%
“…In recent years, land use regression (LUR) models have been used to extract high-resolution urbanization features (e.g., land use, socio-economic, traffic data, etc.) around sampling sites to assess the spatial distribution characteristics and influencing factors of some environmental pollutants [22,23]. The LUR model is still not used to simulate the spatial distribution of mercury pollution in different media in cities.…”
Section: Introductionmentioning
confidence: 99%