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Study on Association between Spatial Distribution of Metal Mines and Disease Mortality

A Case Study in Suxian District, South China

Dados Bibliográficos

ID15475985
AutoresDaping Song (Institute of Geographic Sciences and Natural Resources Research), Dong Jiang (0000-0002-4154-5969, Chinese Academy of Sciences), Yong Wang (0000-0002-0092-0793, Institute of Geographic Sciences and Natural Resources Research), Wei Chen (0000-0002-9419-148X, Nanjing Agricultural University), Yaohuan Huang (0000-0002-6564-8161, Chinese Academy of Sciences), Dafang Zhuang (Nanjing Agricultural University), Yunfeng Hu (0000-0002-6219-6251, Chinese Academy of Sciences, autor correspondente)
Ano2013
Volume10
Fascículo10
Páginas5163-5177
Data de publicação2013-10-16
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph10105163
PMID24135822
PMCIDPMC3823318
OpenAlexW1975934502
IdiomaEN
Citações recebidas3
Referências citadas36

Metal mines release toxic substances into the environment and can therefore negatively impact the health of residents in nearby regions. This paper sought to investigate whether there was excess disease mortality in populations in the vicinity of the mining area in Suxian District, South China. The spatial distribution of metal mining and related activities from 1985 to 2012, which was derived from remote sensing imagery, was overlapped with disease mortality data. Three hotspot areas with high disease mortality were identified around the Shizhuyuan mine sites, i.e., the Dengjiatang metal smelting sites, and the Xianxichong mine sites. Disease mortality decreased with the distance to the mining and smelting areas. Population exposure to pollution was estimated on the basis of distance from town of residence to pollution source. The risk of dying according to disease mortality rates was analyzed within 7-25 km buffers. The results suggested that there was a close relationship between the risk of disease mortality and proximity to the Suxian District mining industries. These associations were dependent on the type and scale of mining activities, the area influenced by mining and so on

Archaeology · Association (psychology · China · Distribution (mathematics · Environmental health · Geography · Heavy Metal Exposure and Toxicity · Heavy metals in environment · Medicine

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Obras citantes distintas3
Citações por ano0,27
Intervalo de citações2015 - 2021 (7)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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