Modelling temporal variations in the global tropospheric arsenic burden |
| |
| Affiliation: | 1. Research Institute of Intelligent Computing, Zhejiang Laboratory, Hangzhou 311121, China;2. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No.9, Dengzhuang South Road, Beijing 100094, China;3. International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China;4. University of Chinese Academy of Sciences, Beijing 100049, China;5. Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China;1. College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China;2. Guangxi Key Laboratory of Veterinary Biotechnology, Guangxi Veterinary Research Institute, Nanning 530001, China;3. Guangxi Key Laboratory of Veterinary Biotechnology, Nanning, Guangxi, China;4. Key Laboratory of China(Guangxi)-ASEAN Cross-border Animal Disease Prevention and Control, Ministry of Agriculture and Rural Affairs of China, Nanning, China;5. Department of Clinical Medicine and Surgery, Faculty of Veterinary and Animal Science, The Islamia University of Bahawalpur, 63100, Pakistan |
| |
| Abstract: | The response of the troposphere to anthropogenic mobilization of arsenic has been examined by inclusion of the troposphere in a seven reservoir global cycling model for arsenic. Mobilization was simulated from a steady-state condition by increasing the land efflux of arsenic with time according to present day observed arsenic concentrations in the troposphere. Simulations involved separation of low and high temperature pollutant processes, and restrictions in the magnitude of the low temperature source. The sensitivity of the model was also tested by subdividing the troposphere into marine and continental airmasses. The tropospheric burden of arsenic showed increases by factors from 2 to 10 over time scales varying from 8000 to 16,000 years. The elevation of the tropospheric burden was enhanced using the two airmass model, and these elevated levels were more persistent than for a single well-mixed troposphere. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
