Literature DB >> 31016586

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

Chang Sun1, Deming Dong1, Sinan He1, Liwen Zhang1, Xun Zhang2, Chaoqian Wang1, Xiuyi Hua1, Zhiyong Guo3.   

Abstract

As a result of the widespread use of antibiotics, a large amount of excretions from human and animals, containing antibiotic residues, is discharged into aquatic environments, leading to potential adverse effects on the ecosystems' health. These residues' impact on seasonally ice-covered rivers remains under investigated. To understand the environmental fate of antibiotics with high-detection frequencies and concentration levels, sulfamethoxazole, lincomycin, and florfenicol were used as models in the present study. A Level IV fugacity model was established and applied to a seasonally ice-covered river receiving municipal wastewater treatment plant (WWTP) effluents, the Songhua River in Northeast China. Model validation and sensitivity analysis suggested that the fugacity model could successfully simulate the monitoring concentration within an average difference of one logarithmic unit. The advection process played a major role in the transport and attenuation of the antibiotics in the ice-covered river receiving WWTP effluents. The scenario simulation indicated that increasing the targeted antibiotic concentrations in WWTP effluents to μg L-1 could keep the targeted antibiotic concentrations higher than 10 ng L-1 in the receiving river from the WWTP discharge source to 25 km downstream. This finding also demonstrates that the depth of water and ice, as well as flow velocity, play key roles in the fate of antibiotics in the ice-covered river receiving WWTP effluents. To our best knowledge, this is the first major study to combine experimental investigation with modeling to explore the environmental behaviors and fate of antibiotics in such a river.

Entities:  

Keywords:  Emerging contaminant; Fugacity model; Ice-covered river; Scenario simulation; Transformation; Transport

Mesh:

Substances:

Year:  2019        PMID: 31016586     DOI: 10.1007/s11356-019-05121-1

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  42 in total

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

Authors:  Yu Liu; Changyou Li; Bruce Anderson; Sheng Zhang; Xiaohong Shi; Shengnan Zhao
Journal:  Chemosphere       Date:  2017-02-23       Impact factor: 7.086

2.  Occurrence and distribution of trace levels of antibiotics in surface waters and soils driven by non-point source pollution and anthropogenic pressure.

Authors:  Xinzhu Yi; Chenghui Lin; Eugene Jie Li Ong; Mian Wang; Zhi Zhou
Journal:  Chemosphere       Date:  2018-10-16       Impact factor: 7.086

3.  Dynamic modelling of aquatic exposure and pelagic food chain transfer of cyclic volatile methyl siloxanes in the Inner Oslofjord.

Authors:  M J Whelan; K Breivik
Journal:  Chemosphere       Date:  2012-11-24       Impact factor: 7.086

4.  Dynamic fugacity model for accidental oil release during Arctic shipping.

Authors:  Mawuli Afenyo; Faisal Khan; Brian Veitch; Ming Yang
Journal:  Mar Pollut Bull       Date:  2016-07-02       Impact factor: 5.553

5.  Persistence of the antibiotic sulfamethoxazole in river water alone or in the co-presence of ciprofloxacin.

Authors:  Luisa Patrolecco; Jasmin Rauseo; Nicoletta Ademollo; Paola Grenni; Martina Cardoni; Caterina Levantesi; Maria Laura Luprano; Anna Barra Caracciolo
Journal:  Sci Total Environ       Date:  2018-06-07       Impact factor: 7.963

6.  Occurrence, removal, and risk assessment of antibiotics in 12 wastewater treatment plants from Dalian, China.

Authors:  Xin Zhang; Hongxia Zhao; Juan Du; Yixuan Qu; Chen Shen; Feng Tan; Jingwen Chen; Xie Quan
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-28       Impact factor: 4.223

7.  Pharmaceuticals in STP effluents and their solar photodegradation in aquatic environment.

Authors:  Roberto Andreozzi; Marotta Raffaele; Paxéus Nicklas
Journal:  Chemosphere       Date:  2003-03       Impact factor: 7.086

8.  Roles of steady-state and dynamic models for regulation of hydrophobic chemicals in aquatic systems: A case study of decamethylcyclopentasiloxane (D5) and PCB-180 in three diverse ecosystems.

Authors:  Jaeshin Kim; Donald Mackay; David E Powell
Journal:  Chemosphere       Date:  2017-02-12       Impact factor: 7.086

9.  Occurrence and fate of most prescribed antibiotics in different water environments of Tehran, Iran.

Authors:  Roya Mirzaei; Masud Yunesian; Simin Nasseri; Mitra Gholami; Esfandiyar Jalilzadeh; Shahram Shoeibi; Alireza Mesdaghinia
Journal:  Sci Total Environ       Date:  2017-11-29       Impact factor: 7.963

10.  Aqueous photodegradation of antibiotic florfenicol: kinetics and degradation pathway studies.

Authors:  Ya Zhang; Jianhua Li; Lei Zhou; Guoqing Wang; Yanhong Feng; Zunyao Wang; Xi Yang
Journal:  Environ Sci Pollut Res Int       Date:  2015-12-26       Impact factor: 4.223

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