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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/25089
Title: 
Evaluating and classifying contaminated areas based on loss functions using annealing simulations
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Fed Univ Para
  • Cent Lab Eletronorte
ISSN: 
0375-6742
Abstract: 
This paper presents a methodology based on geostatistical theory for quantifying the risks associated with heavy-metal contamination in the harbor area of Santana, Amapa State, Northern Brazil. In this area there were activities related to the commercialization of manganese ore from Serra do Navio. Manganese and arsenic concentrations at unsampled sites were estimated by postprocessing results from stochastic annealing simulations; the simulations were used to test different criteria for optimization, including average, median, and quantiles. For classifying areas as contaminated or uncontaminated, estimated quantiles based on functions of asymmetric loss showed better results than did estimates based on symmetric loss, such as the average or the median. The use of specific loss functions in the decision-making process can reduce the costs of remediation and health maintenance. The highest global health costs were observed for manganese. (c) 2008 Elsevier B.V. All rights reserved
Issue Date: 
1-Jun-2009
Citation: 
Journal of Geochemical Exploration. Amsterdam: Elsevier B.V., v. 101, n. 3, p. 265-282, 2009.
Time Duration: 
265-282
Publisher: 
Elsevier B.V.
Keywords: 
  • Decision making process
  • Uncertainty modeling
  • Risk and loss functions
  • Annealing simulation
  • Geostatistics
Source: 
http://dx.doi.org/10.1016/j.gexplo.2008.09.005
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/25089
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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