Publication: Modeling Mercury Flows in Thailand on the Basis of Mathematical Material Flow Analysis
8
Issued Date
2016-01-01
Resource Type
ISSN
18630669
18630650
18630650
Other identifier(s)
2-s2.0-84955618155
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Clean - Soil, Air, Water. Vol.44, No.1 (2016), 16-24
Suggested Citation
Manaporn Wongsoonthornchai, Suphaphat Kwonpongsagoon, Ruth Scheidegger Modeling Mercury Flows in Thailand on the Basis of Mathematical Material Flow Analysis. Clean - Soil, Air, Water. Vol.44, No.1 (2016), 16-24. doi:10.1002/clen.201400670 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/40666
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Modeling Mercury Flows in Thailand on the Basis of Mathematical Material Flow Analysis
Abstract
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Mercury pollution is a global problem, because it can be transported across borders and released from both natural and anthropogenic sources. In this paper, we studied the mercury flows in Thailand originating from anthropogenic sources (from intentional and unintentional use) in 2010, giving for the first time a comprehensive overview over mercury stock and flows including emissions in Thailand. Mathematical material flow analysis was applied to calculate the stock of mercury and its flows in the country. All available data from various sources such as statistical data, literature, surveys, and interviews with experts were used. The results showed that total mercury emissions were about 57 000kg/year, 61% of them to land, 35% to air, and 4% to water. The largest mercury input comes as impurities in imported zinc, followed by domestically mined gold ores in which mercury is also an impurity. The largest stock of mercury is found in dental amalgam, followed by air conditioners and sphygmomanometers. The scenarios developed here were designed to reduce mercury emissions. Unintentional use alone can reduce total mercury emissions by about 33%, while around 5% of the potential reduction comes from intentional use. Changes in combined unintentional and intentional use can lead to the highest potential reduction.