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Sci Total Environ. 2014 Sep 15;493:419-31. doi: 10.1016/j.scitotenv.2014.05.136. Epub 2014 Jun 20.

Identification of sensitive parameters in the modeling of SVOC reemission processes from soil to atmosphere.

Author information

1
EDF R&D, Département Mécanique des Fluides, Energies et Environnement, 6 quai Watier, 78401 Chatou Cedex, France; EDF R&D, Laboratoire National d'Hydraulique et Environnement, 6 quai Watier, 78401 Chatou Cedex, France; CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris Est, 77455 Marne-la-Vallée, France. Electronic address: loizeauv@cerea.enpc.fr.
2
EDF R&D, Laboratoire National d'Hydraulique et Environnement, 6 quai Watier, 78401 Chatou Cedex, France.
3
CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris Est, 77455 Marne-la-Vallée, France.
4
EDF R&D, Département Mécanique des Fluides, Energies et Environnement, 6 quai Watier, 78401 Chatou Cedex, France; CEREA, Joint Laboratory École des Ponts ParisTech/EDF R&D, Université Paris Est, 77455 Marne-la-Vallée, France.

Abstract

Semi-volatile organic compounds (SVOCs) are subject to Long-Range Atmospheric Transport because of transport-deposition-reemission successive processes. Several experimental data available in the literature suggest that soil is a non-negligible contributor of SVOCs to atmosphere. Then coupling soil and atmosphere in integrated coupled models and simulating reemission processes can be essential for estimating atmospheric concentration of several pollutants. However, the sources of uncertainty and variability are multiple (soil properties, meteorological conditions, chemical-specific parameters) and can significantly influence the determination of reemissions. In order to identify the key parameters in reemission modeling and their effect on global modeling uncertainty, we conducted a sensitivity analysis targeted on the 'reemission' output variable. Different parameters were tested, including soil properties, partition coefficients and meteorological conditions. We performed EFAST sensitivity analysis for four chemicals (benzo-a-pyrene, hexachlorobenzene, PCB-28 and lindane) and different spatial scenari (regional and continental scales). Partition coefficients between air, solid and water phases are influent, depending on the precision of data and global behavior of the chemical. Reemissions showed a lower variability to soil parameters (soil organic matter and water contents at field capacity and wilting point). A mapping of these parameters at a regional scale is sufficient to correctly estimate reemissions when compared to other sources of uncertainty.

KEYWORDS:

Atmosphere; Probability density function; Reemissions; Sensitivity analysis; Soil; Soil profile

PMID:
24954563
DOI:
10.1016/j.scitotenv.2014.05.136
[Indexed for MEDLINE]

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