Literature DB >> 15051370

Ranking of chemical substances based on the Japanese Pollutant Release and Transfer Register using partial order theory and random linear extensions.

Dorte Lerche1, Sanae Y Matsuzaki, Peter B Sørensen, Lars Carlsen, Ole John Nielsen.   

Abstract

In 1997 a Pollutant Release and Transfer Register (PRTR) pilot project was initiated in Japan. In 1998 the project was expanded and in 1999 a law concerning the establishment of a national PRTR was adopted. Data on the emissions of chemical substances are therefore now being reported on a continuous base. In relation to the PRTR project data on toxicity have been collected. In order to make efficient use of the collected information on emission and toxicity it is useful to group or rank the chemical substances according to the impact on human health and the environment. It has recently been argued that partial order theory (POT) in combination with the use of linear extensions (LE) may be the most objective way to create a linear rank. The methodology has been further expanded to handle larger data sets by the use of random linear extensions (RLE). In this paper the Japanese PRTR data are ranked using the POT/RLE methodology. An average rank is established for chemical substances in the 1998 and 1999 PRTR in Japan. The top 10 chemical substances in the 1998 PRTR are: dichlorvos, inorganic arsenic compounds, cobalt compounds, beryllium compounds, fenitrothion, disulfoton, parathion, diazinon, 4,4'-diamino-3,3'-dichlorodiphenylmethane and antimony compounds. The top 10 chemical substances from the 1999 PRTR are PCBs, lead compounds, fenitrothion, dichlorvos, disulfoton, inorganic arsenic compounds, chlorothalonil, thiobencarb, chromium and HCFC-141b. The descriptor having the highest influence on the ranking of the 1998 PRTR data is the production volume, which, however, is not given in the 1999 PRTR. Further, the disagreement between the ranking with the lack of toxicity data substituted with mean and maximum values, respectively, strongly indicates a general need for further toxicological investigations.

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Year:  2004        PMID: 15051370     DOI: 10.1016/j.chemosphere.2004.01.023

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


  3 in total

1.  Modeling the bioconcentration factors and bioaccumulation factors of polychlorinated biphenyls with posetic quantitative super-structure/activity relationships (QSSAR).

Authors:  Teodora Ivanciuc; Ovidiu Ivanciuc; Douglas J Klein
Journal:  Mol Divers       Date:  2006-05-19       Impact factor: 2.943

2.  A study on the characteristics of pollutant release and transfer registers (PRTRs) and cancer incidence rates in Korea.

Authors:  Jiyoung Im; Hyunji Kim; Bokyeong Kim; Jeonghyeon Yun; Jiho Lee; Chungsoo Lee
Journal:  Environ Sci Pollut Res Int       Date:  2019-04-18       Impact factor: 4.223

3.  Hierarchical Rank Aggregation with Applications to Nanotoxicology.

Authors:  Trina Patel; Donatello Telesca; Robert Rallo; Saji George; Tian Xia; André E Nel
Journal:  J Agric Biol Environ Stat       Date:  2013-06-01       Impact factor: 1.524

  3 in total

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