PMID- 19552504
OWN - NLM
STAT- MEDLINE
DCOM- 20091208
LR  - 20090924
IS  - 1551-3793 (Electronic)
IS  - 1551-3777 (Linking)
VI  - 5
IP  - 4
DP  - 2009 Oct
TI  - Multimedia partitioning, overall persistence, and long-range transport potential 
      in the context of POPs and PBT chemical assessments.
PG  - 557-76
LID - 10.1897/IEAM_2009-007.1 [doi]
AB  - For the identification and assessment of persistent, bioaccumulative, and toxic 
      (PBT) chemicals and persistent organic pollutants (POPs), overall persistence 
      (P(ov)) and long-range transport potential (LRTP) are important indicators. In 
      this article, we first give an overview of methods to determine P(ov) and LRTP 
      and discuss the influence of multimedia partitioning of semivolatile organic 
      chemicals (SOCs) on P(ov) and LRTP. Next, we summarize the most important 
      features of various multimedia fate and transport models that can be used to 
      calculate P(ov) and LRTP. Complementary to environmental fate models, field data 
      provide important empirical information about the spatial distribution and time 
      trends of SOC concentrations in the environment. We discuss the role of field 
      data in the estimation of P(ov) and LRTP and give an overview of important field 
      studies showing the levels and trends of various groups of chemicals in different 
      parts of the world. Then, we address key topics in the field of PBT and POP 
      assessment that require further research, such as the formation of transformation 
      products, the influence of atmospheric aerosols on the degradation and transport 
      of SOCs, and the effect of long-range transport by ocean currents. In addition, 
      we describe the most important types of uncertainty associated with estimates of 
      P(ov) and LRTP, which are mainly uncertainty of chemical property data and 
      uncertainty of the design of environmental fate models. Finally, we illustrate 
      the characterization of SOCs in terms of P(ov) and LRTP with the example of the 
      consensus model for P(ov) and LRTP Tool that is provided by the Organization for 
      Economic Cooperation and Development.
FAU - Scheringer, Martin
AU  - Scheringer M
AD  - Institute for Chemical and Bioengineering, ETH Zurich, Wolfgang-Pauli-Strasse 10, 
      CH-8093 Zurich, Switzerland. scheringer@chem.ethz.ch
FAU - Jones, Kevin C
AU  - Jones KC
FAU - Matthies, Michael
AU  - Matthies M
FAU - Simonich, Staci
AU  - Simonich S
FAU - van de Meent, Dik
AU  - van de Meent D
LA  - eng
PT  - Journal Article
DEP - 20090624
PL  - United States
TA  - Integr Environ Assess Manag
JT  - Integrated environmental assessment and management
JID - 101234521
RN  - 0 (Environmental Pollutants)
RN  - 0 (Hazardous Substances)
RN  - 0 (Organic Chemicals)
SB  - IM
MH  - Environmental Monitoring/*methods
MH  - Environmental Pollutants/*analysis
MH  - Hazardous Substances/*analysis
MH  - Organic Chemicals/*analysis
EDAT- 2009/06/26 09:00
MHDA- 2009/12/16 06:00
CRDT- 2009/06/26 09:00
PHST- 2009/01/21 00:00 [received]
PHST- 2009/06/17 00:00 [accepted]
PHST- 2009/06/26 09:00 [entrez]
PHST- 2009/06/26 09:00 [pubmed]
PHST- 2009/12/16 06:00 [medline]
AID - IEAM_2009-007 [pii]
AID - 10.1897/IEAM_2009-007.1 [doi]
PST - ppublish
SO  - Integr Environ Assess Manag. 2009 Oct;5(4):557-76. doi: 10.1897/IEAM_2009-007.1. 
      Epub 2009 Jun 24.