Title of article
Indirect human exposure assessment of airborne lead deposited on soil via a simplified fate and speciation modelling approach Original Research Article
Author/Authors
Massimo Pizzol، نويسنده , , Cécile Bulle، نويسنده , , Marianne Thomsen، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2012
Pages
7
From page
203
To page
209
Abstract
In order to estimate the total exposure to the lead emissions from a municipal waste combustion plant in Denmark, the indirect pathway via ingestion of lead deposited on soil has to be quantified. Multi-media fate models developed for both Risk Assessment (RA) and Life Cycle Assessment (LCA) can be used for this purpose, but present high uncertainties in the assessment of metalʹs fate. More sophisticated and metal-specific geochemical models exist, that could lower the uncertainties by e.g. accounting for metal speciation, but they require a large amount of data and are unpractical to combine broadly with other fate and dispersion models. In this study, a Simplified Fate & Speciation Model (SFSM) is presented, that is based on the parsimony principle: “as simple as possible, as complex as needed”, and that can be used for indirect human exposure assessment in different context like RA and regionalized LCA. SFSM couples traditional multi-media mass balances with empirical speciation models in a tool that has a simple theoretical framework and that is not data-intensive. The model calculates total concentration, dissolved concentration, and free ion activity of Cd, Cu, Ni, Pb and Zn in different soil layers, after accounting for metal deposition and dispersion. The model is tested for these five metals by using data from peer reviewed literature. Results show good accordance between measured and calculated values (factor of 3). The model is used to predict the human exposure via soil to lead initially emitted into air by the waste combustion plant and both the lead cumulative exposure and intake fraction are calculated.
Keywords
Metal , Human exposure , Speciation , Model , Soil , lead
Journal title
Science of the Total Environment
Serial Year
2012
Journal title
Science of the Total Environment
Record number
988255
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