Mercury(编程语言)
中国
人口
地理
环境卫生
供应链
环境科学
分布(数学)
业务
自然资源经济学
环境保护
经济
医学
计算机科学
考古
营销
数学
数学分析
程序设计语言
作者
Yumeng Li,Long Chen,Sai Liang,Jianchuan Qi,Haifeng Zhou,Cuiyang Feng,Xuechun Yang,Xiaohui Wu,Zhifu Mi,Zhifeng Yang
标识
DOI:10.1021/acs.est.0c04658
摘要
Over 100 nations signed the Minamata Convention on Mercury to control the adverse effects of mercury (Hg) emissions on human beings. A spatially explicit analysis is needed to identify the specific sources and distribution of Hg-related health impacts. This study maps China's Hg-related health impacts and global supply chain drivers (i.e., global final consumers and primary suppliers) at a high spatial resolution. Here we show significant spatial heterogeneity in hotspots of China's Hg-related health impacts. Approximately 1% of the land area holds only 40% of the Chinese population but nearly 70% of the fatal heart attack deaths in China. Moreover, approximately 3% of the land area holds nearly 60% of the population but 70% of the intelligence quotient (IQ) decrements. The distribution of hotspots of China's Hg-related health impacts and global supply chain drivers are influenced by various factors including population, economy, transportation, resources, and dietary intake habits. These spatially explicit hotspots can support more effective policies in various stages of the global supply chains and more effective international cooperation to reduce Hg-related health impacts. This can facilitate the successful implementation of the Minamata Convention on Mercury.
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