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Ecological, Groundwater, and Human Health Risk Assessment in a Mining Region of Nicaragua

Picado, Francisco LU ; Mendoza, Alfredo LU ; Cuadra, Steven LU ; Barmen, Gerhard LU ; Jakobsson, Kristina LU and Bengtsson, Göran LU (2010) In Risk Analysis: an official publication of the Society for Risk Analysis 30(6). p.916-933
Abstract
Macroinvertebrates and fish in the contaminated river are faced with a higher risk to suffer from exposure to Hg than humans eating contaminated fish and bacteria living in the groundwater. The river sediment is the most hazardous source for the macroinvertebrates, and macroinvertebrates make up the highest risk for fish. The distribution of body concentrations of Hg in fish in the mining areas of the basin may exceed the distribution of endpoint values with close to 100% probability. Similarly, the Hg concentration in cord blood of humans feeding on fish from the river was predicted to exceed the BMDLs(0.1) with about 10% probability. Most of the risk to the groundwater quality is confined to the vicinity of the gold refining plants and... (More)
Macroinvertebrates and fish in the contaminated river are faced with a higher risk to suffer from exposure to Hg than humans eating contaminated fish and bacteria living in the groundwater. The river sediment is the most hazardous source for the macroinvertebrates, and macroinvertebrates make up the highest risk for fish. The distribution of body concentrations of Hg in fish in the mining areas of the basin may exceed the distribution of endpoint values with close to 100% probability. Similarly, the Hg concentration in cord blood of humans feeding on fish from the river was predicted to exceed the BMDLs(0.1) with about 10% probability. Most of the risk to the groundwater quality is confined to the vicinity of the gold refining plants and along the river, with a probability of about 20% to exceed the guideline value. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
risk, mercury, Gold mining, hazard quotient, river
in
Risk Analysis: an official publication of the Society for Risk Analysis
volume
30
issue
6
pages
916 - 933
publisher
John Wiley & Sons
external identifiers
  • wos:000278931200009
  • scopus:77954124426
ISSN
1539-6924
DOI
10.1111/j.1539-6924.2010.01387.x
language
English
LU publication?
yes
id
1099dddb-8ea1-4eb0-beb0-18e17a374233 (old id 1630262)
date added to LUP
2010-07-22 14:41:39
date last changed
2018-05-29 10:57:56
@article{1099dddb-8ea1-4eb0-beb0-18e17a374233,
  abstract     = {Macroinvertebrates and fish in the contaminated river are faced with a higher risk to suffer from exposure to Hg than humans eating contaminated fish and bacteria living in the groundwater. The river sediment is the most hazardous source for the macroinvertebrates, and macroinvertebrates make up the highest risk for fish. The distribution of body concentrations of Hg in fish in the mining areas of the basin may exceed the distribution of endpoint values with close to 100% probability. Similarly, the Hg concentration in cord blood of humans feeding on fish from the river was predicted to exceed the BMDLs(0.1) with about 10% probability. Most of the risk to the groundwater quality is confined to the vicinity of the gold refining plants and along the river, with a probability of about 20% to exceed the guideline value.},
  author       = {Picado, Francisco and Mendoza, Alfredo and Cuadra, Steven and Barmen, Gerhard and Jakobsson, Kristina and Bengtsson, Göran},
  issn         = {1539-6924},
  keyword      = {risk,mercury,Gold mining,hazard quotient,river},
  language     = {eng},
  number       = {6},
  pages        = {916--933},
  publisher    = {John Wiley & Sons},
  series       = {Risk Analysis:  an official publication of the Society for Risk Analysis},
  title        = {Ecological, Groundwater, and Human Health Risk Assessment in a Mining Region of Nicaragua},
  url          = {http://dx.doi.org/10.1111/j.1539-6924.2010.01387.x},
  volume       = {30},
  year         = {2010},
}