アセスメント係数を用いる方法と種の感受性分布方法から導出され る予測無影響濃度（PNEC）の比較
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| Published in | 環境毒性学会誌 Vol. 19; no. 1; pp. 47 - 58 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | Japanese |
| Published |
日本環境毒性学会
30.06.2016
|
| Online Access | Get full text |
| ISSN | 1344-0667 1882-5958 |
| DOI | 10.11403/jset.19.47 |
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| Author | Masashi, KAMO 岩崎, 雄一 |
|---|---|
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| References | 3) Chapman, P.M., Fairbrother, A. and Brown, D. (1998) A critical evaluation of safety (uncertainty) factors for ecological risk assessment. Environ. Toxicol. Chem. 17:99–108. 7) Aldenberg, T. and Jaworska, J.S. (2000) Uncertainty of the hazardous concentration and fraction affected for normal species sensitivity distributions. Ecotoxicol. Environ. Saf. 46:1–18. 6) Newman, M., Ownby, D.R., Mézin, L.C.A., et al. (2000) Applying species-sensitivity distributions in risk assessment: Assumptions of distribution type and sufficient numbers of species. Environ. Toxicol. Chem. 19:508–515. 8) Nagai, T. (2016) Ecological effect assessment by species sensitivity distribution for 68 pesticides used in Japanese paddy fields. J. Pestic. Sci. 41(1):6–14. 4) European Commission, (2011) Technical guidance for deriving environmental quality standards. Common implementation strategy for the Water ramework Directive (2000/60EC). Guidance Document No. 27. Prepared by EU, Member States and stakeholders/ Technical Report 2011-055. 9) Hahn, T., Diamond, J., Dobson, S., et al. (2014) Predicted no effect concentration derivation as a significant source of variability in environmental hazard assessments of chemicals in aquatic systems: An international analysis. Integr. Environ. Assess Manag. 10:30–36. 1) Cairns, J., Jr. (1986) The myth of the most sensitive species. Bioscience 36:670–672. 10) Nagai, T., Taya, K. and Yoda, I. (2016) Comparative toxicity of 20 herbicides to 5 periphytic algae and the relationship with mode of action. Environ. Toxicol. Chem. 35(2):368–375. 11) Fox, D.R. (2015) Selection bias correction for species sensitivity distribution modeling and hazardous concentration estimation. Environ. Toxicol. Chem. 34(11):2555–2563. 5) Posthuma, L., Suter, G., II and Traas, T.P., eds. (2002) Species Sensitivity Distributions in Ecotoxicology. Lewis Publishers, Boca Raton, FL, USA. 2) Forbes, V., Calow, P. and Sibly, R. (2008) The extrapolation problem and how population modeling can help. Environ. Toxicol. Chem. 27:1987–1994. 12) Versteeg, D.J., Belanger, S.E. and Carr, G.J. (1999) Understanding single-species and model ecosystem sensitivity: Data-based comparison. Environ. Toxicol. Chem. 18:1329–1346. |
| References_xml | – reference: 3) Chapman, P.M., Fairbrother, A. and Brown, D. (1998) A critical evaluation of safety (uncertainty) factors for ecological risk assessment. Environ. Toxicol. Chem. 17:99–108. – reference: 6) Newman, M., Ownby, D.R., Mézin, L.C.A., et al. (2000) Applying species-sensitivity distributions in risk assessment: Assumptions of distribution type and sufficient numbers of species. Environ. Toxicol. Chem. 19:508–515. – reference: 7) Aldenberg, T. and Jaworska, J.S. (2000) Uncertainty of the hazardous concentration and fraction affected for normal species sensitivity distributions. Ecotoxicol. Environ. Saf. 46:1–18. – reference: 5) Posthuma, L., Suter, G., II and Traas, T.P., eds. (2002) Species Sensitivity Distributions in Ecotoxicology. Lewis Publishers, Boca Raton, FL, USA. – reference: 12) Versteeg, D.J., Belanger, S.E. and Carr, G.J. (1999) Understanding single-species and model ecosystem sensitivity: Data-based comparison. Environ. Toxicol. Chem. 18:1329–1346. – reference: 4) European Commission, (2011) Technical guidance for deriving environmental quality standards. Common implementation strategy for the Water ramework Directive (2000/60EC). Guidance Document No. 27. Prepared by EU, Member States and stakeholders/ Technical Report 2011-055. – reference: 9) Hahn, T., Diamond, J., Dobson, S., et al. (2014) Predicted no effect concentration derivation as a significant source of variability in environmental hazard assessments of chemicals in aquatic systems: An international analysis. Integr. Environ. Assess Manag. 10:30–36. – reference: 2) Forbes, V., Calow, P. and Sibly, R. (2008) The extrapolation problem and how population modeling can help. Environ. Toxicol. Chem. 27:1987–1994. – reference: 10) Nagai, T., Taya, K. and Yoda, I. (2016) Comparative toxicity of 20 herbicides to 5 periphytic algae and the relationship with mode of action. Environ. Toxicol. Chem. 35(2):368–375. – reference: 8) Nagai, T. (2016) Ecological effect assessment by species sensitivity distribution for 68 pesticides used in Japanese paddy fields. J. Pestic. Sci. 41(1):6–14. – reference: 1) Cairns, J., Jr. (1986) The myth of the most sensitive species. Bioscience 36:670–672. – reference: 11) Fox, D.R. (2015) Selection bias correction for species sensitivity distribution modeling and hazardous concentration estimation. Environ. Toxicol. Chem. 34(11):2555–2563. |
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| Title | アセスメント係数を用いる方法と種の感受性分布方法から導出され る予測無影響濃度（PNEC）の比較 |
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