中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Study on Association between Spatial Distribution of Metal Mines and Disease Mortality: A Case Study in Suxian District, South China

文献类型:SCI/SSCI论文

作者Song D. P.; Jiang D.; Wang Y.; Chen W.; Huang Y. H.; Zhuang D. F.
发表日期2013
关键词Metal Mining Area Heavy Metal Land Use Mortality Guangdong Province Mining Activities Cadmium Exposure Cancer-mortality Risk-assessment Chenzhou-city Sulfide Mine Heavy-metals Contamination Population
英文摘要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.
出处International Journal of Environmental Research and Public Health
10
10
5163-5177
语种英语
ISSN号1660-4601
源URL[http://192.168.22.105/handle/311030/30267]  
专题资源利用与环境修复重点实验室_外文论文
中国科学院地理科学与资源研究所
推荐引用方式
GB/T 7714
Song D. P.,Jiang D.,Wang Y.,et al. Study on Association between Spatial Distribution of Metal Mines and Disease Mortality: A Case Study in Suxian District, South China. 2013.

入库方式: OAI收割

来源:地理科学与资源研究所

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