Literature DB >> 11482652

Strategies for including vegetation compartments in multimedia models.

I T Cousins1, D Mackay.   

Abstract

The incentives for including vegetation compartments in multimedia Level I, II and III fugacity calculations are discussed and equations and parameters for undertaking the calculations suggested. Model outputs with and without vegetation compartments are compared for 12 non-ionic organic chemicals with a wide variety of physical-chemical properties. Inclusion of vegetation compartments is shown to have a significant effect on two classes of chemicals: (1) those that are taken up by atmospheric deposition and (2) those that are taken up by transpiration through the plant roots. It is suggested that uptake from the atmosphere is important for chemicals with logK(OA) greater than 6 and a logK(AW) of greater than -6. Plant uptake by transpiration is important for chemicals with logK(OW) less than 2.5 and a logK(AW) of less than -1. At logK(OA) > 9 atmospheric uptake is dominated by particle-bound deposition and the importance of partitioning to vegetation is largely dependent on the relative magnitude of the particle deposition velocities to soil and vegetation. These property ranges can be used to determine if a chemical will significantly partition to vegetation. If the chemical falls outside the property ranges of the two classes it will probably be unnecessary to include vegetation in models for assessing environmental fate. The amount of chemical predicted to partition to vegetation compartments in the model is shown to be highly sensitive to certain model assumptions. Further experimental research is recommended to obtain more reliable equations describing equilibrium partitioning and uptake/depuration kinetics.

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Year:  2001        PMID: 11482652     DOI: 10.1016/s0045-6535(00)00514-2

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  6 in total

1.  BETR North America: a regionally segmented multimedia contaminant fate model for North America.

Authors:  M MacLeod; D G Woodfine; D Mackay; T McKone; D Bennett; R Maddalena
Journal:  Environ Sci Pollut Res Int       Date:  2001       Impact factor: 4.223

2.  Mass balance for mercury in the San Francisco Bay area.

Authors:  Matthew MacLeod; Thomas E McKone; Don MacKay
Journal:  Environ Sci Technol       Date:  2005-09-01       Impact factor: 9.028

3.  Occurrence, distribution, and source of polybrominated diphenyl ethers in soil and leaves from Shenzhen Special Economic Zone, China.

Authors:  Pei-Heng Qin; Hong-Gang Ni; Yang-Sheng Liu; Ye-Hong Shi; Hui Zeng
Journal:  Environ Monit Assess       Date:  2010-05-02       Impact factor: 2.513

4.  Distribution and temporal trend of polybrominated diphenyl ethers in one Shanghai municipal landfill, China.

Authors:  Kai Huang; Jie Guo; Kuang-fei Lin; Xiao-yu Zhou; Jun-xia Wang; Peng Zhou; Feng Xu; Mei-lan Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2013-02-07       Impact factor: 4.223

5.  Spatiotemporal distribution and dynamic modeling of atmospheric gaseous polycyclic aromatic hydrocarbons in a rapidly urbanizing city: Nanjing, China.

Authors:  Baojie Li; Shaohua Wu; Shenglu Zhou; Teng Wang; Chunhui Wang
Journal:  Environ Geochem Health       Date:  2018-07-13       Impact factor: 4.609

6.  Spatial And Temporal Trends Of Organic Pollutants In Vegetation From Remote And Rural Areas.

Authors:  Mireia Bartrons; Jordi Catalan; Josep Penuelas
Journal:  Sci Rep       Date:  2016-05-05       Impact factor: 4.379

  6 in total

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