The use of modelling to predict levels of estrogens in a river catchment: How does modelled data compare with chemical analysis and in vitro yeast assay results?

Jan L. Balaam; Darren Grover; Andrew C. Johnson; Monika Jürgens; James Readman; Andy J. Smith; Stefan White; Richard Williams; John L. Zhou

doi:10.1016/j.scitotenv.2010.07.019

The use of modelling to predict levels of estrogens in a river catchment: How does modelled data compare with chemical analysis and in vitro yeast assay results?

Jan L. Balaam^*
, Darren Grover
, Andrew C. Johnson
, Monika Jürgens
, James Readman
, Andy J. Smith
, Stefan White
, Richard Williams
, John L. Zhou

^*Corresponding author for this work

School of Biological and Marine Sciences

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	4826-4832
Number of pages	0
Journal	Science of the Total Environment
Volume	408
Issue number	20
DOIs	https://doi.org/10.1016/j.scitotenv.2010.07.019
Publication status	Published - Sept 2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

Access to Document

10.1016/j.scitotenv.2010.07.019

Cite this

Balaam, J. L., Grover, D., Johnson, A. C., Jürgens, M., Readman, J., Smith, A. J., White, S., Williams, R., & Zhou, J. L. (2010). The use of modelling to predict levels of estrogens in a river catchment: How does modelled data compare with chemical analysis and in vitro yeast assay results? Science of the Total Environment, 408(20), 4826-4832. https://doi.org/10.1016/j.scitotenv.2010.07.019

@article{290bbef9d2164d39827b728edf0ee94f,

title = "The use of modelling to predict levels of estrogens in a river catchment: How does modelled data compare with chemical analysis and in vitro yeast assay results?",

author = "Balaam, \{Jan L.\} and Darren Grover and Johnson, \{Andrew C.\} and Monika J{\"u}rgens and James Readman and Smith, \{Andy J.\} and Stefan White and Richard Williams and Zhou, \{John L.\}",

year = "2010",

month = sep,

doi = "10.1016/j.scitotenv.2010.07.019",

language = "English",

volume = "408",

pages = "4826--4832",

journal = "Science of the Total Environment",

issn = "0048-9697",

publisher = "Elsevier B.V.",