PMID- 19731647
OWN - NLM
STAT- MEDLINE
DCOM- 20091019
LR  - 20190715
IS  - 0013-936X (Print)
IS  - 0013-936X (Linking)
VI  - 43
IP  - 15
DP  - 2009 Aug 1
TI  - Estimating the in situ sediment-porewater distribution of PAHs and chlorinated 
      aromatic hydrocarbons in anthropogenic impacted sediments.
PG  - 5576-85
AB  - It has become increasingly apparent that the in situ sediment-porewater 
      distribution behavior of organic compounds within anthropogenic impacted 
      sediments is quite diverse, and challenging to generalize. Traditional models 
      based on octanol-water partitioning generally overestimate native porewater 
      concentrations, and modern approaches accounting for multiple carbon fractions, 
      including black carbon, appear sediment specific. To assess the diversity of this 
      sorption behavior, we collected all peer-reviewed total organic carbon 
      (TOC)-normalized in situ sediment-porewater distribution coefficients, K(TOC), 
      for impacted sediments. This entailed several hundreds of data for PAHs, PCBs, 
      PCDD/Fs, and chlorinated benzenes, covering a large variety of sediments, 
      locations, and experimental methods. Compound-specific K(TOC) could range up to 
      over 3 orders of magnitude. Output from various predictive models for individual 
      carbonaceous phases found in impacted sediments, based on peer-reviewed 
      polyparameter linear free energy relationships (PP-LFERs), Raoult's Law, and the 
      SPARC online-calculator, were tested to see if any of the models could 
      consistently predict literature K(TOC) values within a factor of 30 (i.e., 
      approximately 1.5 orders of magnitude, or half the range of K(TOC) values). The 
      Raoults Law model and coal tar PP-LFER achieved the sought-after accuracy for all 
      tested compound classes, and are recommended for general, regional-scale modeling 
      purposes. As impacted sediment-porewater distribution models are unlikely to get 
      more accurate than this, this review underpins that the only way to accurately 
      obtain accurate porewater concentrations is to measure them directly, and not 
      infer them from sediment concentrations.
FAU - Arp, Hans Peter H
AU  - Arp HP
AD  - Department of Environmental Engineering, Norwegian Geotechnical Institute (NGI), 
      P.O. Box 3930 Ulleval Stadion, N-0806 Oslo, Norway hpa@ngi.no
FAU - Breedveld, Gijs D
AU  - Breedveld GD
FAU - Cornelissen, Gerard
AU  - Cornelissen G
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Environ Sci Technol
JT  - Environmental science & technology
JID - 0213155
RN  - 0 (Hydrocarbons, Chlorinated)
RN  - 0 (Polycyclic Aromatic Hydrocarbons)
RN  - 0 (Water Pollutants, Chemical)
RN  - 059QF0KO0R (Water)
RN  - 7440-44-0 (Carbon)
SB  - IM
MH  - Carbon/chemistry
MH  - Chemistry, Physical/methods
MH  - Geologic Sediments
MH  - Hydrocarbons, Chlorinated/*analysis
MH  - Models, Statistical
MH  - Polycyclic Aromatic Hydrocarbons/*analysis
MH  - Reproducibility of Results
MH  - Risk
MH  - Software
MH  - Temperature
MH  - Water
MH  - Water Pollutants, Chemical/analysis
MH  - Water Purification
EDAT- 2009/09/08 06:00
MHDA- 2009/10/20 06:00
CRDT- 2009/09/08 06:00
PHST- 2009/09/08 06:00 [entrez]
PHST- 2009/09/08 06:00 [pubmed]
PHST- 2009/10/20 06:00 [medline]
AID - 10.1021/es9012905 [doi]
PST - ppublish
SO  - Environ Sci Technol. 2009 Aug 1;43(15):5576-85. doi: 10.1021/es9012905.