Relating atrazine degradation rate in soil to environmental conditions: Implications for global fate modeling

Environmental Science and Technology

Volumn 41, Issue 8, 2007, Pages 2840-2846

  Fenner, Kathrin ^a,b   Lanz, Valentin A ^c   Scheringer, Martin ^b   Borsuk, Mark E ^d  

^a SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

^b ETH ZURICH   (Switzerland)

^c SWISS FEDERAL LABORATORIES FOR MATERIALS SCIENCE AND TECHNOLOGY   (Switzerland)

^d Lamont Doherty Earth Observatory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEGRADATION; HERBICIDES; MATHEMATICAL MODELS; NITROGEN COMPOUNDS; PH EFFECTS; RATE CONSTANTS;

CHEMICAL FATE MODELS; PARTITION COEFFICIENTS; RATE ESTIMATION; SOIL DEGRADATION;

SOIL SURVEYS;

ATRAZINE; HERBICIDE; ORGANIC CARBON;

DEGRADATION; HERBICIDES; MATHEMATICAL MODELS; NITROGEN COMPOUNDS; PH EFFECTS; RATE CONSTANTS; SOIL SURVEYS;

ACCUMULATION; ATRAZINE; CHEMICAL POLLUTANT; CLAY SOIL; DEGRADATION; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL FACTOR; ENVIRONMENTAL FATE; ENVIRONMENTAL MODELING; ORGANIC CARBON; PARTITION COEFFICIENT; PH; SANDY SOIL; SOIL CARBON; SOIL POLLUTION; TEMPERATURE EFFECT;

ARTICLE; CLAY; COMPARATIVE STUDY; DEGRADATION; ENVIRONMENTAL FACTOR; ENVIRONMENTAL IMPACT; MODEL; PARTITION COEFFICIENT; SAND; SOIL POLLUTION; TEMPERATURE DEPENDENCE;

ATRAZINE; ENVIRONMENT; MODELS, CHEMICAL; MODELS, STATISTICAL; SOIL; SOIL POLLUTANTS;

EID: 34247179156     PISSN: 0013936X     EISSN: None     Source Type: Journal    
DOI: 10.1021/es061923i     Document Type: Article

References (43)

1. Jarvis, N. The MACRO model (Version 4.2), Technical description; SLU: Uppsala, Sweden, 1994.
2. Carsel, R. F.; Smith, C. N.; Mulkey, L. A.; Dean, J. D.; Jowise, P. User's manual for the pesticide root zone model (PRZM): Release 1; U.S. EPA: Athens, GA, 1984.
3. Fenner, K.; Scheringer, M.; MacLeod, M.; Matthies, M.; McKone, T.; Stroebe, M.; Beyer, A.; Bonnell, M.; Le Gall, A. C.; Klasmeier, J.; Mackay, D.; Van De Meent, D.; Pennington, D.; Scharenberg, B.; Suzuki, N.; Wania, F. Comparing estimates of persistence and long-range transport potential among multimedia models. Environ. Sci. Technol. 2005, 39, 1932-1942.
4. Klasmeier, J.; Matthies, M.; Macleod, M.; Fenner, K.; Scheringer, M.; Stroebe, M.; Le Gall, A. C.; McKone, T.; Van De Meent, D. Wania, F. Application of multimedia models for screening assessment of long-range transport potential and overall persistence. Environ. Sci. Technol. 2006, 40, 53-60.
5. Rasmussen, J.; Aamand, J.; Rosenberg, P.; Jacobsen, O. S.; Sorensen, S. R. Spatial variability in the mineralisation of the phenylurea herbicide linuron within a Danish agricultural field: multivariate correlation to simple soil parameters. Pest Manage. Sci. 2005, 61, 829-837.
6. Aronson, D.; Boethling, R. S.; Howard, P. H.; Stiteler, W. Estimating biodegradation half-lives for use in chemical screening. Chemosphere 2006, 63, 1953-1960.
7. Citra, M. J. Incorporating Monte Carlo analysis into multimedia environmental fate models. Environ. Toxicol. Chem. 2004, 23, 1629-1633.
8. Fenner, K.; Kooijman, C.; Scheringer, M.; Hungerbühler, K. Including transformation products into the risk assessment for chemicals: The case of nonylphenol ethoxylate usage in Switzerland. Environ. Sci. Technol. 2002, 36, 1147-1154.
9. Harms, C. T.; Forster, H.; Hosang, J. Leaching of metolachlor through soils: Assessing the effects of variable soil degradation and adsorption properties by means of Monte Carlo simulation. In X Symposium Pesticide Chemistry; Del Re, A. A. M., Capri, E., Evans, S. P., Trevisan, M., Eds.; La Goliardica Pavese: Piacenza, Italy, 1996; pp 171-178.
10. Fenner, K.; Scheringer, M.; Hungerbühler, K. Prediction of overall persistence and long-range transport potential with multimedia fate models: robustness and sensitivity of results. Environ. Pollut. 2004, 128, 189-204.
11. Malanichev, A.; Mantseva, E.; Shatalov, V.; Strukov, B.; Vulykh, N. Numerical evaluation of the PCBs transport over the Northern Hemisphere. Environ. Pollut. 2004, 128, 279-289.
12. Pennington, D. W.; Margni, M.; Ammann, C.; Jolliet, O. Multimedia fate and human intake modeling: Spatial versus nonspatial insights for chemical emissions in Western Europe. Environ. Sci. Technol. 2005, 39, 1119-1128.
13. Scheringer, M.; Wegmann, F.; Fenner, K.; Hungerbühler, K. Investigation of the cold condensation of persistent organic pollutants with a global multimedia fate model. Environ. Sci. Technol. 2000, 34, 1842-1850.
14. Cook, A. M. Biodegradation of s-triazine xenobiotics. FEMS Microbiol. Rev. 1987, 46, 93-116.
15. Wackett, L. P.; Sadowsky, M. J.; Martinez, B.; Shapir, N. Biodegradation of atrazine and related s-triazine compounds: from enzymes to field studies. Appl. Microbiol. Biotechnol. 2002, 58, 39-45.
16. Garcia-Gonzalez, V.; Govantes, F.; Shaw, L. J.; Burns, R. G.; Santera, E. Nitrogen control of atrazine utilization in Pseudomonas sp strain ADP. Appl. Environ. Microbiol. 2003, 69, 6987-6993.
17. Di, H. J.; Aylmore, L. A. G.; Kookana, R. S. Degradation rates of eight pesticides in surface and subsurface soils under laboratory and field conditions. Soil Sci. 1998, 163, 404-411.
18. Nair, D. R.; Schnoor, J. L. Effect of soil-conditions on model parameters and atrazine mineralization rates. Water Res. 1994, 28, 1199-1205.
19. Houot, S.; Topp, E.; Yassir, A. Soulas, G. Dependence of accelerated degradation of atrazine on soil pH in French and Canadian soils. Soil Biol. Biochem. 2000, 32, 615-625.
20. Issa, S.; Wood, M. Degradation of atrazine and isoproturon in surface and sub-surface soil materials undergoing different moisture and aeration conditions. Pest Manage. Sci. 2005, 61, 126-132.
21. Rocha, F.; Walker, A. Simulation of the persistence of atrazine in soil at different sites in Portugal. Weed Res. 1995, 35, 179-186.
22. Walker, A. Simulation of persistence of 8 soil-applied herbicides. Weed Res. 1978, 18, 305-313.
23. Beulke, S.; Dubus, I. G.; Brown, C. D. Gottesbüren, B. Simulation of pesticide persistence in the field on the basis of laboratory data - A review. J. Environ. Qual. 2000, 29, 1371-1379.
24. Hastie, T.; Tibshirani, R. Generalized Additive Models; Chapman & Hall: London, 1990.
25. R Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2006.
26. Akaike, H. Information theory and an extension of the maximum likelihood principle. In Second International Symposium on Information Theory; Petrov, B. N., Czaki, F., Eds.: Budapest, 1973; pp 267-281.
27. Efron, B.; Tibshirani, R. J. An Introduction to the Bootstrap; Chapman & Hall/CRC: Boca Raton, FL, 1994.
28. Venables, W. N.; Ripley, B. D. Modern Applied Statistics with S;,th ed.; Springer: New York, 2002.
29. GEOG UMD. One degree land cover map derived from AVHRR data (http://www.geog.umd.edu/landcover/1d-map.html).
30. Legates, D. R.; Willmott, C. J. Mean Seasonal and Spatial Variability in Global Surface Air-Temperature. Theor. Appl. Climatol. 1990, 41, 11-21.
31. FAO, AGL, Land and Plant Nutrition Service. Digital soil map of the world and derived soil properties; CD-ROM; 2000 (http://www.fao.org/ag/agl/ agll/dsmw.htm).
32. Global Soils Data Task (IGBP-DIS). SoilData(V.0) A program for creating global soil-property databases (http://www.sage.wisc.edu/atlas/ maps.php?datasetid=20&includerelatedlinks= 1&dataset=20).
33. Schachtschabel, P.; Blume, H.; Brümmer, G.; Schwertmann, U.; Auerswald, K.; Beyer, L.; Fischer, W. L.; Kögel-Knabner, I.; Renger, M.; Strebel, O. Lehrbuch der Bodenkunde: Scheffer/Schachtschabel; Ferdinand Enke Verlag: Stuttgart, 1998.
34. Scheringer, M.; Salzmann, M.; Stroebe, M.; Wegmann, F.; Fenner, K. Hungerbühler, K. Long-range transport and global fractionation of POPs: insights from multimedia modeling studies. Environ. Pollut. 2004, 128, 177-188.
35. Alegria, H. A.; Shaw, T. J. Rain deposition of pesticides in coastal waters of the South Atlantic Bight. Environ. Sci. Technol. 1999, 33, 850-856.
36. International Programme On Chemical Safety (IPCS). Atrazine - Health and Safety Guide (http://www.inchem.org/documents/hsg/hsg/hsg047. htm#SectionNumber:1.4).
37. Deer, H. M. Utah Pesticide and Toxic News, Vol. XX, Number 7, 2002 (http://extension.usu.edu/files/agpubs/jul021.htm).
38. NUE Oklahoma State University. World Wheat, Corn, and Rice Production, 2003 (http://nue.okstate.edu/Crop_Information/World_Wheat_Production.htm).
39. MacLeod, M.; Fraser, A. J.; Mackay, D. Evaluating and expressing the propagation of uncertainty in chemical fate and bioaccumulation models. Environ. Toxicol. Chem. 2002, 21, 700-709.
40. Unsworth, J. B.; Wauchope, R. D.; Klein, A. W.; Dorn, E.; Zeeh, B.; Yeh, S. M.; Akerblom, M.; Racke, K. D.; Rubin, B. Significance of the long range transport of pesticides in the atmosphere - (Technical report). Pure Appl. Chem. 1999, 71, 1359-1383.
41. Chernyak, S. M.; Rice, C. P.; McConnell, L. L. Evidence of currently used pesticides in air, ice, fog, seawater and surface microlayer in the Bering and Chukchi seas. Mar. Pollut. Bull. 1996, 32, 410-419.
42. Muir, D. C. G.; Teixeira, C.; Wania, F. Empirical and modeling evidence of regional atmospheric transport of current-use pesticides. Environ. Toxicol. Chem. 2004, 23, 2421-2432.
43. Prevedouros, K.; Cousins, I. T.; Buck, R. C.; Korzeniowski, S. H. Sources, fate, and transport of perfluorocarboxylates. Environ. Sci. Technol. 2006, 40, 32-44.