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Global impact of atmospheric arsenic on health risk: 2005 to 2015.
Zhang, Lei; Gao, Yang; Wu, Shiliang; Zhang, Shaoqing; Smith, Kirk R; Yao, Xiaohong; Gao, Huiwang.
Afiliação
  • Zhang L; Frontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, 266100 Qingdao, China.
  • Gao Y; Frontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, 266100 Qingdao, China; yanggao@ouc.edu.cn slwu@mtu.edu krksmith@berkeley.edu.
  • Wu S; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, 266237 Qingdao, China.
  • Zhang S; Atmospheric Sciences Program, Michigan Technological University, Houghton, MI 49931; yanggao@ouc.edu.cn slwu@mtu.edu krksmith@berkeley.edu.
  • Smith KR; Key Laboratory of Physical Oceanography, Ministry of Education/Institute for Advanced Ocean Study/Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, 266100 Qingdao, China.
  • Yao X; International Laboratory for High-Resolution Earth System Prediction, 266237 Qingdao, China.
  • Gao H; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China.
Proc Natl Acad Sci U S A ; 117(25): 13975-13982, 2020 06 23.
Article em En | MEDLINE | ID: mdl-32513708
ABSTRACT
Arsenic is a toxic pollutant commonly found in the environment. Most of the previous studies on arsenic pollution have primarily focused on arsenic contamination in groundwater. In this study, we examine the impact on human health from atmospheric arsenic on the global scale. We first develop an improved global atmospheric arsenic emission inventory and connect it to a global model (Goddard Earth Observing System [GEOS]-Chem). Model evaluation using observational data from a variety of sources shows the model successfully reproduces the spatial distribution of atmospheric arsenic around the world. We found that for 2005, the highest airborne arsenic concentrations were found over Chile and eastern China, with mean values of 8.34 and 5.63 ng/m3, respectively. By 2015, the average atmospheric arsenic concentration in India (4.57 ng/m3) surpassed that in eastern China (4.38 ng/m3) due to the fast increase in coal burning in India. Our calculation shows that China has the largest population affected by cancer risk due to atmospheric arsenic inhalation in 2005, which is again surpassed by India in 2015. Based on potential exceedance of health-based limits, we find that the combined effect by including both atmospheric and groundwater arsenic may significantly enhance the risks, due to carcinogenic and noncarcinogenic effects. Therefore, this study clearly implies the necessity in accounting for both atmospheric and groundwater arsenic in future management.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Saúde Global / Modelos Estatísticos / Intoxicação por Arsênico / Poluentes Atmosféricos / Neoplasias Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Saúde Global / Modelos Estatísticos / Intoxicação por Arsênico / Poluentes Atmosféricos / Neoplasias Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article