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斯瓦尔巴群岛孔斯峡湾汞的输入、输出及形态:冰川融化和河流径流的影响

Import, export, and speciation of mercury in Kongsfjorden, Svalbard: Influences of glacier melt and river discharge.

作者信息

Kim Jihee, Kwon Sae Yun, Kim Kitae, Han Seunghee

机构信息

School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.

Division of Environmental Science and Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.

出版信息

Mar Pollut Bull. 2022 Jun;179:113693. doi: 10.1016/j.marpolbul.2022.113693. Epub 2022 May 5.

DOI:10.1016/j.marpolbul.2022.113693
PMID:35525059
Abstract

The major sources and sinks of total mercury (THg) and methylmercury (MeHg) in Kongsfjorden were estimated based on spreadsheet-based ecological risk assessment for the fate of mercury (SERAFM). SERAFM was parameterized and calibrated to fit Kongsfjorden using the physical properties of the fjord, runoff coefficients of Hg, transformation rate constants of Hg, partition coefficients of Hg, Hg loadings from freshwater, and solid balance parameters. The modeled Hg concentrations in the seawater matched with the measured concentrations, with a mean bias of 12% and a calibration error of 0.035. The mass budget showed that the major THg sources were tidal inflow and glacial runoff, while the major MeHg sources were tidal inflow and in situ methylation in shallow halocline water, which agreed with the distributions of THg and MeHg in seawater. The coupling of observation and fate modeling in Kongsfjorden provides a basic understanding of Hg cycles in the Arctic fjords.

摘要

基于基于电子表格的汞归宿生态风险评估(SERAFM),对孔斯峡湾中总汞(THg)和甲基汞(MeHg)的主要来源和汇进行了估算。利用峡湾的物理特性、汞的径流系数、汞的转化率常数、汞的分配系数、来自淡水的汞负荷以及固体平衡参数,对SERAFM进行了参数化和校准,以使其适用于孔斯峡湾。模拟的海水中汞浓度与实测浓度相符,平均偏差为12%,校准误差为0.035。质量平衡表明,总汞的主要来源是潮汐流入和冰川径流,而甲基汞的主要来源是潮汐流入和浅盐跃层水中的原位甲基化,这与海水中总汞和甲基汞的分布情况一致。孔斯峡湾中观测与归宿模型的耦合为了解北极峡湾中的汞循环提供了基本认识。

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