@article{
 title = {The interaction rainfall vs. weight as determinant of total mercury concentration in fish from a tropical estuary},
 type = {article},
 year = {2012},
 identifiers = {[object Object]},
 keywords = {E0638,GBMS},
 pages = {1-6},
 volume = {167},
 websites = {http://dx.doi.org/10.1016/j.envpol.2012.03.033},
 publisher = {Elsevier Ltd},
 id = {7f0ab567-3344-34da-9a58-72dac934741d},
 created = {2020-12-22T22:13:18.013Z},
 file_attached = {false},
 profile_id = {40b8da15-8b94-3c9c-9b32-24fe57ca7cb3},
 group_id = {3addd0f7-d578-34d3-be80-24022cc062a1},
 last_modified = {2020-12-22T22:13:28.022Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 folder_uuids = {4246fe96-2389-417f-9056-527e16d7e71c,745ec5d4-0976-45ea-9f8f-33b1c9fcb9ca},
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 abstract = {Mercury loads in tropical estuaries are largely controlled by the rainfall regime that may cause biodilution due to increased amounts of organic matter (both live and non-living) in the system. Top predators, as Trichiurus lepturus, reflect the changing mercury bioavailability situations in their muscle tissues. In this work two variables [fish weight (g) and monthly total rainfall (mm)] are presented as being important predictors of total mercury concentration (T-Hg) in fish muscle. These important explanatory variables were identified by a Weibull Regression model, which best fit the dataset. A predictive model using readily available variables as rainfall is important, and can be applied for human and ecological health assessments and decisions. The main contribution will be to further protect vulnerable groups as pregnant women and children. Nature conservation directives could also improve by considering monitoring sample designs that include this hypothesis, helping to establish complete and detailed mercury contamination scenarios. © 2012 Elsevier Ltd. All rights reserved.},
 bibtype = {article},
 author = {Barletta, M. and Lucena, L. R.R. and Costa, M. F. and Barbosa-Cintra, S. C.T. and Cysneiros, F. J.A.},
 journal = {Environmental Pollution}
}

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