Literature DB >> 28260652

A modified QWASI model for fate and transport modeling of mercury between the water-ice-sediment in Lake Ulansuhai.

Yu Liu1, Changyou Li2, Bruce Anderson3, Sheng Zhang1, Xiaohong Shi1, Shengnan Zhao1.   

Abstract

Mercury contamination from industrial and agricultural drainage into lakes and rivers is a growing concern in Northern China. Lake Ulansuhai, located in Hetao irrigation district in Inner Mongolia, is the only sink for the all industrial and agricultural drainage and sole outlet for this district to the Yellow River, which is one of the main source of drinking water for the numerous cities and towns downstream. Because Ulansuahi is ice-covered during winter, the QWASI model was modified by adding an ice equation to get a more accurate understanding of the fate and transport of mercury within the lake. Both laboratory and field tests were carried out during the ice growth period. The aquivalence and mass balance approaches were used to develop the modified QWASI + ice model. The margins of error between the modelled and the measured average concentrations of Hg in ice, water, and sediment were 30%, 26.2%, and 19.8% respectively. These results suggest that the new QWASI + ice model could be used to more accurately represent the fate and transport of mercury in the seasonally ice-covered lakes, during the ice growth period.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fate; Ice growth period; Mercury; Migration; QWASI model; Seasonally ice-covered lakes

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Year:  2017        PMID: 28260652     DOI: 10.1016/j.chemosphere.2017.02.111

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Multimedia fate modeling of antibiotic sulfamethoxazole, lincomycin, and florfenicol in a seasonally ice-covered river receiving WWTP effluents.

Authors:  Chang Sun; Deming Dong; Sinan He; Liwen Zhang; Xun Zhang; Chaoqian Wang; Xiuyi Hua; Zhiyong Guo
Journal:  Environ Sci Pollut Res Int       Date:  2019-04-23       Impact factor: 4.223

  1 in total

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