کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4458063 1312652 2009 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluating and classifying contaminated areas based on loss functions using annealing simulations
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی اقتصادی
پیش نمایش صفحه اول مقاله
Evaluating and classifying contaminated areas based on loss functions using annealing simulations
چکیده انگلیسی

This paper presents a methodology based on geostatistical theory for quantifying the risks associated with heavy-metal contamination in the harbor area of Santana, Amapá 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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Geochemical Exploration - Volume 101, Issue 3, June 2009, Pages 265–282
نویسندگان
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