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

Chemosphere

Volumn 55, Issue 7, 2004, Pages 1005-1025

  Lerche, Dorte ^a,b   Matsuzaki, Sanae Y ^c   Sørensen, Peter B ^b   Carlsen, Lars ^d   Nielsen, Ole John ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b NATIONAL ENVIRONMENTAL RESEARCH INSTITUTE   (Denmark)

^c NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^d ROSKILDE UNIVERSITY   (Denmark)

Author keywords

Chemical substances; Emissions; Hasse diagram; Partial order theory; PRTR, Pollutant Release and Transfer Register; Random linear extensions; Ranking

Indexed keywords

ARSENIC COMPOUNDS; COBALT COMPOUNDS; POLLUTION; POLYCHLORINATED BIPHENYLS; TOXICITY;

PARTIAL ORDER THEORY (POT); RANDOM LINEAR EXTENSIONS (RLE);

ENVIRONMENTAL ENGINEERING;

ANTIMONY DERIVATIVE; ARSENIC DERIVATIVE; BENTHIOCARB; BERYLLIUM; CHLOROTHALONIL; CHROMIUM; COBALT DERIVATIVE; DICHLORVOS; DIMPYLATE; DISULFOTON; FENITROTHION; LEAD; METHANE; PARATHION; POLYCHLORINATED BIPHENYL;

CHEMICAL POLLUTANT; EMISSION INVENTORY; ENVIRONMENTAL IMPACT; POLLUTION POLICY; RANKING;

ARTICLE; JAPAN; MATHEMATICAL COMPUTING; METHODOLOGY; POLLUTANT; POLLUTION MONITORING; TOXICITY;

ASIA; EURASIA; FAR EAST; JAPAN;

EID: 1642544095     PISSN: 00456535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2004.01.023     Document Type: Article

References (36)

1. Bartel H.-G. Mathematische Methoden in der Chemie. 1996;Spektrum Akademischer Verlag, Germany.
2. Behrendt H., Altschuh J., Sixt S., Gasteiger J., Höllering R., Kostka T. A unified approach to exposure assessment by computer models for degradation reactions and soil accumulation: the triazine herbicide example. Chemosphere. 38:1999;1811-1823.
3. Birkhoff G. In Lattice Theory. 1984;American Mathematical Society, Providence, RI, USA.
4. Brüggemann R., Bartel H.-G. A theoretical concept to rank environmentally significant chemicals. J. Chem. Inform. Comput. Sci. 39:1999;211-217.
5. Brüggemann R., Halfon E. Ranking for environmental hazard of the chemicals spilled in the Sandoz accident in November 1986. Sci. Total Environ. 97/98:1990;827-837.
6. Brüggemann, R., Halfon, E., 1995. Theoretical Base of the Program "Hasse", GSF-Bericht 20/95, GSF-Forrschungszentrum, Oberschleissheim, Germany
7. Brüggemann R., Münzer B. A graph-theoretical tool for priority setting of chemicals. Chemosphere. 27(9):1993;1729-1736.
8. Brüggemann R., Steinberg C. Einsatz der Hassediagrammtechnik zur vergleichenden Bewertung von Analysendaten - am Beispiel der Umweltuntersuchungen in den Regionen Baden-Württembergs. Günzler H. Analytiker Taschenbuch. vol. 21:2000;3-33 Springer-Verlag, Berlin.
9. Brüggemann R., Bücherl C., Pudenz S., Steinberg C.E.W. Application of the concept of partial order on comparative evaluation of environmental chemicals. Acta Hydrochim. Hydrobiol. 27(3):1999;170-178.
10. Brüggemann R., Halfon E., Welzl G., Voigt K., Steinberg C.E.W. Applying the concept of partially ordered sets on the ranking of near-shore sediments by a battery of tests. J. Chem. Inform. Comput. Sci. 41:2001;918-925.
11. Brüggemann, R., Lerche, D., Sørensen, P.B., 2002. First attempts to relate structures of Hasse diagrams with mutual probabilities. In: Order Theory in Environmental Sciences, Integrative Approaches, The 5th Hasse Workshop, National Environmental Research Institute, Roskilde, Denmark, November 2002 (in press).
12. Davey A.B., Priestley H.A. Introduction to Lattices and Order. 1990;Cambridge University Press, Cambridge.
13. European Commission, 1996. The European Union System for the Evaluation of Substances (EUSES). European Chemical Bureau, Ispra, Italy
14. Galassi S., Provini A., Halfon E. Risk assessment for pesticides and their metabolites in water. Int. J. Environ. Anal. Chem. 65:1996;331-344.
15. Graham R.L. Linear extensions of partial orders and the FKG inequality. Rival I. Ordered Sets. 1982;213-236.
16. Halfon E., Reggiani M.G. On Ranking chemicals for environmental hazard. Environ. Sci. Technol. 20:1986;1173-1179.
17. Halfon E., Galassi S., Brüggemann R., Provini A. Selection of priority properties to assess environmental hazards of pesticides. Chemosphere. 33:1996;1543-1562.
18. Hasse H. Über die Klassenzahl abelscher Zahlkörper. 1952;Akademie-Verlag, Berlin, Germany.
19. Japan Environmental Agency, 1995-1997. Series of Annual Reports on Chemical in the Environment. Environment, Health and Safety Division, Environmental Health Department, Tokyo, Japan
20. Kawamoto K., Macleod M., Mackay D. Evaluation and comparison of multimedia mass balance models of chemical fate: application of EUSES and ChemCAN to 68 chemicals in Japan. Chemosphere. 44:2001;599-612.
21. Klein J., Brüggemann R., Voigt K., Steinberg C. Advances in comparative analysis of adverse effects in aquatic ecosystems with emphasis on studies with humic substances and on progress in mathematical analysis techniques. Water Res. 29:1995;2261-2268.
22. Lerche, D., 2003. Priority Setting of Chemical Substances for Environmental Policy - Development and Application of Random Linear Extensions in Partial Order Theory. Ph.D. Thesis, Department of Policy Analysis, National Environmental Institute, Roskilde, Denmark and Institute of Chemistry, Copenhagen University, Copenhagen, Denmark.
23. Lerche D., Sørensen P.B. Evaluation of the ranking probabilities for partial orders based on random linear extensions. Chemosphere. 53:2003;981-992.
24. Lerche D., Sørensen P.B., Larsen H.S., Carlsen L., Nielsen O.J. Comparison of the combined monitoring-based and modelling-based priority setting scheme with partial order theory and random linear extensions for ranking of chemical substances. Chemosphere. 49:2002;637-649.
25. Lerche D., Brüggemann R., Sørensen P.B., Carlsen L., Nielsen O.J. A comparison of Hasse diagram technique with three multi-criteria analysis for ranking chemical substances. J. Chem. Inform. Comput. Sci. 42:2002;1086-1098.
26. Lerche D., Sørensen P.B., Brüggemann R. An attempt to derive a general model by partial order theory. Part II. Improved estimation of the ranking probabilities in partial orders using random linear extensions by approximation of mutual ranking probabilities. J. Chem. Inform. Comput. Sci. 43:2003;1471-1480.
27. Mackay D., Diguardo A., Paterson S., Kicsi C., Cowan C., Kare D. Assessment of chemical fate in the environment using evaluative, regional and local-scale models: illustrative application to chlorbenzene and linear alkylbenzene sulfonates. Environ. Toxicol. Chem. 15:1996;1638-1648.
28. Masuzawa, Y., 1997. Pollutant Release & Transfer Register (PRTR) in Japan. Japan Environment Quarterly, News from the Environment Agency, 2, 3, September 1997
29. OECD, 2000. ENV/EPOD(2000)8/FINAL.
30. Sørensen P.B., Mogensen B.B., Gyldenkærne S., Rasmussen A.G. Pesticide leaching assessment of method for ranking both single substances and scenarios of multiple substance use. Chemosphere. 36(10):1998;2251-2276.
31. Sørensen, P.B., Lerche, D., Carlsen, L., Brüggemann, R., 2001. Statistically approach for estimating the total set of linear orders, a possible way for analysing larger partial order sets. In: Proceeding of the Workshop on Order Theoretical Tools in Environmental Science, Berlin, 16 November 2000. Berichtes des IGB, Heft 6, Sonderheft I.
32. The Japanese Ministry of Environment, 2001a. Available from < www.env.go.jp/chemi/prtr/5/5.httml >.
33. The Japanese Ministry of Environment, 2001b. Available from < www.env.go.jp/chemi/prtr/h11pilot/hokoku11.httml >.
34. Urano K. Toxicity and Physico-Chemical Data on PRTR-MSDS Substances. 2001;Kagaku-kogyu-nippon, Tokyo. (in Japanese).
35. Winkler P.M. Average height in a partially ordered set. Discr. Math. 39:1982;337-341.
36. Winkler P.M. Correlation among partial orders. SIAM J. Alg. Disc. Math. 4:1983;1-7.