Applicability of a neuroprobabilistic integral risk index for the environmental management of polluted areas: A case study

Risk Analysis

Volumn 28, Issue 2, 2008, Pages 271-286

  Nadal, Martí ^a   Kumar, Vikas ^a,b   Schuhmacher, Marta ^a   Domingo, José L ^a  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Hazard Index; Integral risk; Monte Carlo; Probabilistic self organizing maps; Tarragona (Catalonia, Spain)

Indexed keywords

BIOACCUMULATION; GEOGRAPHIC INFORMATION SYSTEMS; MONTE CARLO METHODS; SELF ORGANIZING MAPS;

HAZARD INDEX; INTEGRAL RISK;

RISK ANALYSIS;

2,3,7,8 TETRACHLORODIBENZO PARA DIOXIN; ACENAPHTHENE DERIVATIVE; ACENAPHTHYLENE; ANTHRACENE; ARSENIC; BENZO[A]PYRENE; BENZO[B]FLUORANTHENE; BENZO[GHI]PERYLENE; BENZO[K]FLUORANTHENE; BENZ[A]ANTHRACENE; CADMIUM; CHROMIUM; CHRYSENE; DIBENZ[A,H]ANTHRACENE; FLUORANTHENE; FLUORENE; HEAVY METAL; INDENO[1,2,3 CD]PYRENE; LEAD; MANGANESE; MERCURY; NAPHTHALENE; POLYCHLORINATED BIPHENYL; POLYCYCLIC AROMATIC HYDROCARBON; PYRENE; VANADIUM;

BIOACCUMULATION; ENVIRONMENTAL MANAGEMENT; GIS; HAZARD ASSESSMENT; HEALTH RISK; MONTE CARLO ANALYSIS; PAH; PCB; POLLUTION EXPOSURE; PROBABILITY; RISK ASSESSMENT; TOXICITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOACCUMULATION; CHLORINATION; CONTROLLED STUDY; ENVIRONMENTAL MANAGEMENT; HEALTH HAZARD; HUMAN; INDUSTRIAL AREA; MONTE CARLO METHOD; PHOTOCHEMISTRY; POLLUTION; PROBABILITY SAMPLE; RISK ASSESSMENT;

CATALONIA; EURASIA; EUROPE; SOUTHERN EUROPE; SPAIN; TARRAGONA [CATALONIA];

EID: 42249104525     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2008.01018.x     Document Type: Article

References (59)

1. Hansen, B. G., Van Haelst, A. G., Van Leeuwen, K., & Van Der Zandt, P. (1999). Priority setting for existing chemicals: European Union risk ranking method. Environmental Toxicology and Chemistry, 18, 772 779.
2. Swanson, M. B., Davis, G. A., Kincaid, L. E., Schultz, T. W., Bartmess, J. E., Jones, S. L., & George, E. L. (1997). A screening method for ranking and scoring chemicals by potential human health and environmental impacts. Environmental Toxicology and Chemistry, 16, 372 383.
3. Wang, J., Sii, H. S., Yang, J. B., Pillay, A., Yu, D., Liu, J., Maistralis, E., & Saajedi, A. (2004). Use of advances in technology for maritime risk assessment. Risk Analysis, 24, 1041 1063.
4. Shatkin, J. A., & Qian, S. (2004). In I. Linkovs & A. Ramadan (Eds. Comparative Risk Assessment and Environmental Decision Making (pp. 213 244). Amsterdam, The Netherlands : Kluwer.
5. Ferré-Huguet, N., Nadal, M., Schuhmacher, M., & Domingo, J. L. (2006). Environmental impact and human health risks of polychlorinated dibenzo-p-dioxins and dibenzofurans in the vicinity of a new hazardous waste incinerator: A case study. Environmental Science and Technology, 40, 61 66.
6. Tran, L. T., Knight, C. G., O'Neill, R. V., Smith, E. R., & O'Connell, M. (2003). Self-organizing maps for integrated environmental assessment of the Mid-Atlantic region. Environmental Management, 31, 822 835.
7. Mekenyan, O. G., Dimitrov, S. D., Pavlov, T. S., & Veith, G. D. (2005). POPs: A QSAR system for developing categories for persistent, bioacculative and toxic chemicals and their metabolites. SAR and QSAR in Environmental Research, 16, 103 133.
8. Bodar, C., De Bruijn, J., Vermeire, T., & Van Der Zandt, P. (2002). Trends in risk assessment of chemicals in the European Union. Human and Ecological Risk Assessment, 8, 1835 1843.
9. Moss, K. T., Boethling, R. S., Nabholz, J. V., & Auer, C. M. (2001). U.S. Environmental Protection Agency new chemicals program PBT chemical category: Screening and risk management of new PBT chemical substances. ACS Symposium Series, 773, 138 149.
10. Carlsen, L., & Walker, J. D. (2003). QSARs for prioritizing PBT substances to promote pollution prevention. QSAR and Combinatorial Science, 22, 49 57.
11. Nadal, M., Kumar, V., Schuhmacher, M., & Domingo, J. L. (2006). Definition and GIS-based characterization of an integral risk index applied to a chemical/petrochemical area. Chemosphere, 64, 1526 1535.
12. U.S. EPA 2001). Risk Assessment Guidance for Superfund: Volume I. Human Health Evaluation Manual (Part D) Washington, DC : U.S. Environmental Protection Agency.
13. Matthies, M., Berding, V., & Beyer, A. (2004). Probabilistic uncertainty analysis of the European Union system for the evaluation of substances multimedia regional distribution model. Environmental Toxicology and Chemistry, 23, 2494 2502.
14. Sharma, M., Maheshwari, M., & Morisawa, S. (2005). Dietary and inhalation intake of lead and estimation of blood lead levels in adults and children in Kanpur, India. Risk Analysis, 25, 1573 1588.
15. Sanga, R. N., Bartell, S. M., Ponce, R. A., Boischio, A. A. P., Joiris, C. R., Pierce, C. H., & Faustman, E. M. (2001). Effects of uncertainties on exposure estimates to methylmercury: A Monte Carlo analysis of exposure biomarkers versus dietary recall estimation. Risk Analysis, 21, 859 868.
16. Price, P. S., Su, S. H., Harrington, J. R., & Keenan, R. E. (1996). Uncertainty and variation in indirect exposure assessments: An analysis of exposure to tetrachlorodibenzo-p-dioxin from a beef consumption pathway. Risk Analysis, 16, 263 277.
17. Burmaster, D. E., & Anderson, P. D. (1994). Principles of good practice for the use of Monte Carlo techniques in human health and ecological risk assessments. Risk Analysis, 14, 477 481.
18. Smith, R. L. (1994). Use of Monte Carlo simulation for human exposure assessment at a superfund site. Risk Analysis, 14, 433 439.
19. Nadal, M., Schuhmacher, M., & Domingo, J. L. (2004). Probabilistic human health risk of PCDD/F exposure: A socioeconomic assessment. Journal of Environmental Monitoring, 6, 926 931.
20. Öberg, T., & Bergbäck, B. (2005). A review of probabilistic risk assessment of contaminated land. Journal of Soils and Sediments, 5, 213 224.
21. Sander, P., Bergback, B., & Oberg, T. (2006). Uncertain numbers and uncertainty in the selection of input distributions. Consequences for a probabilistic risk assessment of contaminated land. Risk Analysis, 26, 1363 1375.
22. Binkowitz, B. S., & Wartenberg, D. (2001). Disparity in quantitative risk assessment: A review of input distributions. Risk Analysis, 21, 75 90.
23. Lester, R. R., Green, L. C., & Linkov, I. (2007). Site-specific applications of probabilistic health risk assessment: Review of the literature since 2000. Risk Analysis, 27, 635 658.
24. U.S. EPA 1997). Guiding Principles for Monte Carlo Analysis. Washington, DC : U.S. Environmental Protection Agency.
25. Saraceno, M., Provost, C., & Lebbah, M. (2006). Biophysical regions identification using an artificial neuronal network: A case study in the South Western Atlantic. Advances in Space Research, 37, 793 805.
26. Anouar, F., Badran, F., & Thiria, S. (1998). Probabilistic self-organizing map and radial basis function networks. Neurocomputing, 20, 83 96.
27. Wu, S., & Chow, T. W. S. (2005). PRSOM: A new visualization method by hybridizing multidimensional scaling and self-organizing map. IEEE Transactions on Neural Networks, 16, 1362 1380.
28. Pennington, D. W., & Bare, J. C. (2001). Comparison of chemical screening and ranking approaches: The waste minimization prioritization tool versus toxic equivalency potentials. Risk Analysis, 21, 897 912.
29. U.S. EPA 1998). Waste Minimization Prioritization Tool Spreadsheet Document for the RCRA Waste Minimization PBT Chemical List Docket. Washington, DC : U.S. Environmental Protection Agency.
30. Slob, W., & Pieters, M. N. (1998). A probabilistic approach for deriving acceptable human intake limits and human health risks from toxicological studies: General framework. Risk Analysis, 18, 787 798.
31. Swartout, J. C., Price, P. S., Dourson, M. L., Carlson-Lynch, H. L., & Keenan, R. E. (1998). A probabilistic framework for the reference dose (probabilistic RfD). Risk Analysis, 18, 271 282.
32. Haas, C. N. (1997). Importance of distributional form in characterizing inputs to Monte Carlo risk assessments. Risk Analysis, 17, 107 113.
33. Mackay, D., Shiu, W. Y., & Ma, K. C. (2000). Physical-Chemical Properties and Environmental Fate Handbook on CD-ROM. Boca Raton, FL : CRC Press.
34. Webster, E., Mackay, D., Wania, F., Arnot, J., Gobas, F., Gouin, T., Hubbarde, J., & Bonnell, M. (2005). Development and Application of Models of Chemical Fate in Canada. Modelling Guidance Document. Peterborough, Ontario, Canada : Canadian Environmental Modelling Network. Trent University.
35. Fiorito, F. (2006). La Simulación como una herramienta para el manejo de la incertidumbre. Buenos Aires, Argentina : Universidad del CEMA.
36. Meylan, W. (1999). EPIWIN v. 3.04 Software. Syracuse, NY : Syracuse Research Corporation.
37. Lessmann, K., Beyer, A., Klasmeier, J., & Matthies, M. (2005). Influence of distributional shape of substance parameters on exposure model output. Risk Analysis, 25, 1137 1145.
38. RAIS 2006). Risk Assessment Information System. Chemical-Specific Toxicity Factors. Oak Ridge, TN : Center for Risk Excellence. Available from http://risk.lsd.ornl.gov/tox/tox_values.shtml.
39. Lessmann, K. (2002). Probabilistic Exposure Assessment. Parameter Uncertainties and Their Effects on Model Output. Diploma Thesis. Germany : University of Osnabrück.
40. Dietz, F. J., & van der Straaten, J. (1992). Rethinking environmental economics: Missing links between economic theory and environmental policy. Journal of Economic Issues, 26, 27 51.
41. Nadal, M., Schuhmacher, M., & Domingo, J. L. (2004). Levels of PAHs in soil and vegetation samples from Tarragona County, Spain. Environmental Pollution, 132, 1 11.
42. Nadal, M., Schuhmacher, M., & Domingo, J. L. (2004). Metal pollution of soils and vegetation in an area with petrochemical industry. Science of the Total Environment, 321, 59 69.
43. Schuhmacher, M., Nadal, M., & Domingo, J. L. (2004). Levels of PCDD/Fs, PCBs, and PCNs in soils and vegetation in an area with chemical and petrochemical industries. Environmental Science and Technology, 38, 1960 1969.
44. Nadal, M., Schuhmacher, M., & Domingo, J. L. (2007). Levels of metals, PCBs, PCNs and PAHs in soils of a highly industrialized chemical/petrochemical area: Temporal trend. Chemosphere, 66, 267 276.
45. Sinkkonen, S., & Paasivirta, J. (2000). Degradation half-life times of PCDDs, PCDFs and PCBs for environmental fate modeling. Chemosphere, 40, 943 949.
46. Greene, J. F., Hays, S., & Paustenbach, D. (2003). Basis for a proposed reference dose (RfD) for dioxin of 1-10 pg/kg-day: A weight of evidence evaluation of the human and animal studies. Journal of Toxicology and Environmental Health - Part B: Critical Reviews, 6, 115 159.
47. U.S. EPA 2000). Draft Exposure and Human Health Reassessment of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and Related Compounds. Washington, DC : U.S. Environmental Protection Agency.
48. Mackay, D., Sharpe, S., Cahill, T., Gouin, T., Cousins, I., & Toose, L. (2001). Assessing the Environmental Persistence of a Variety of Chemical Substances Including Metals. Peterborough, Ontario, Canada : Canadian Environmental Modelling Network. Trent University.
49. Floyd, B. (2006). Future perspectives in risk assessment of chemicals. In R. E. Hester & R. M. Harrison (Eds Chemicals in the Environment: Assessing and Managing Risk (pp. 45 64). Cambridge, UK : Royal Society of Chemistry.
50. McGeer, J. C., Brix, K. V., Skeaff, J. M., Deforest, D. K., Brigham, S. I., Adams, W. J., & Green, A. (2003). Inverse relationship between bioconcentration factor and exposure concentration for metals: Implications for hazard assessment of metals in the aquatic environment. Environmental Toxicology and Chemistry, 22, 1017 1037.
51. Law, R. J., Kelly, C., Baker, K., Jones, J., McIntosh, A. D., & Moffat, C. F. (2002). Toxic equivalency factors for PAH and their applicability in shellfish pollution monitoring studies. Journal of Environmental Monitoring, 4, 383 388.
52. Nisbet, I. C. T., & LaGoy, P. K. (1992). Toxic equivalency factors (TEFs) for polycyclic aromatic hydrocarbons (PAHs). Regulatory Toxicology and Pharmacology, 16, 290 300.
53. Busquet, E. (1997). Elaboració dels Criteris de Qualitat del Sòl a Catalunya. Barcelona, Catalonia, Spain : Generalitat de Catalunya, Departament de Medi Ambient, Junta de Residus.
54. Finley, B. L., Connor, K. T., & Scott, P. K. (2003). The use of toxic equivalency factor distributions in probabilistic risk assessments for dioxins, furans, and PCBs. Journal of Toxicology and Environmental Health, Part A, 66, 533 550.
55. Lovett, A. A., Parfitt, J. P., & Brainard, J. S. (1997). Using GIS in risk analysis: A case study of hazardous waste transport. Risk Analysis, 17, 625 633.
56. Mayer, H. J., & Greenberg, M. R. (2005). Using integrated geospatial mapping and conceptual site models to guide risk-based environmental clean-up decisions. Risk Analysis, 25, 429 446.
57. Thayer, W. C., Griffith, D. A., Goodrum, P. E., Diamond, G. L., & Hassett, J. M. (2003). Application of geostatistics to risk assessment. Risk Analysis, 23, 945 960.
58. Verter, V., & Kara, B. Y. (2001). A GIS-based framework for hazardous materials transport. Risk assessment. Risk Analysis, 21, 1109 1120.
59. Saisana, M., Dubois, G., Chaloulakou, A., & Spyrellis, N. (2004). Classification criteria and probability risk maps: Limitations and perspectives. Environmental Science and Technology, 38, 1275 1281.