BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 11837426)

  • 1. Sensitivity and first-step uncertainty analyses for the preferential flow model MACRO.
    Dubus IG; Brown CD
    J Environ Qual; 2002; 31(1):227-40. PubMed ID: 11837426
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sensitivity analyses for four pesticide leaching models.
    Dubus IG; Brown CD; Beulke S
    Pest Manag Sci; 2003 Sep; 59(9):962-82. PubMed ID: 12974348
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Simulating solute transport in a structured field soil: uncertainty in parameter identification and predictions.
    Larsbo M; Jarvis N
    J Environ Qual; 2005; 34(2):621-34. PubMed ID: 15758115
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of pesticide root zone model 3.12: leaching predictions with field data.
    Russell MH; Jones RL
    Environ Toxicol Chem; 2002 Aug; 21(8):1552-7. PubMed ID: 12152753
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Modeling macropore flow effects on pesticide leaching: inverse parameter estimation using microlysimeters.
    Roulier S; Jarvis N
    J Environ Qual; 2003; 32(6):2341-53. PubMed ID: 14674559
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Soil column leaching of pesticides.
    Katagi T
    Rev Environ Contam Toxicol; 2013; 221():1-105. PubMed ID: 23090630
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Propagation of uncertainties in soil and pesticide properties to pesticide leaching.
    van den Berg F; Tiktak A; Heuvelink GB; Burgers SL; Brus DJ; de Vries F; Stolte J; Kroes JG
    J Environ Qual; 2012; 41(1):253-61. PubMed ID: 22218193
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Meta-modeling of the pesticide fate model MACRO for groundwater exposure assessments using artificial neural networks.
    Stenemo F; Lindahl AM; Gärdenäs A; Jarvis N
    J Contam Hydrol; 2007 Aug; 93(1-4):270-83. PubMed ID: 17531347
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Issues of replicability in Monte Carlo modeling: a case study with a pesticide leaching model.
    Dubus IG; Janssen PH
    Environ Toxicol Chem; 2003 Dec; 22(12):3081-7. PubMed ID: 14713053
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A review of model applications for structured soils: b) Pesticide transport.
    Köhne JM; Köhne S; Simůnek J
    J Contam Hydrol; 2009 Feb; 104(1-4):36-60. PubMed ID: 19012993
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using a linked soil model emulator and unsaturated zone leaching model to account for preferential flow when assessing the spatially distributed risk of pesticide leaching to groundwater in England and Wales.
    Holman IP; Dubus IG; Hollis JM; Brown CD
    Sci Total Environ; 2004 Jan; 318(1-3):73-88. PubMed ID: 14654276
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Parameterisation, evaluation and comparison of pesticide leaching models to data from a Bologna field site, Italy.
    Garratt JA; Capri E; Trevisan M; Errera G; Wilkins RM
    Pest Manag Sci; 2003 Jan; 59(1):3-20. PubMed ID: 12558095
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accounting for uncertainty in pedotransfer functions in vulnerability assessments of pesticide leaching to groundwater.
    Stenemo F; Jarvis N
    Pest Manag Sci; 2007 Sep; 63(9):867-75. PubMed ID: 17583910
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Uncertainty assessment of the model RICEWQ in northern Italy.
    Miao Z; Trevisan M; Capri E; Padovani L; Del Re AA
    J Environ Qual; 2004; 33(6):2217-28. PubMed ID: 15537945
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses.
    Lammoglia SK; Makowski D; Moeys J; Justes E; Barriuso E; Mamy L
    Sci Total Environ; 2017 Feb; 580():117-129. PubMed ID: 27986318
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Soil and Water Assessment Tool model predictions of annual maximum pesticide concentrations in high vulnerability watersheds.
    Winchell MF; Peranginangin N; Srinivasan R; Chen W
    Integr Environ Assess Manag; 2018 May; 14(3):358-368. PubMed ID: 29193759
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The pesticide module of the Root Zone Water Quality Model (RZWQM): testing and sensitivity analysis of selected algorithms for pesticide fate and surface runoff.
    Ma Q; Wauchope RD; Rojas KW; Ahuja LR; Ma L; Malone RW
    Pest Manag Sci; 2004 Mar; 60(3):240-52. PubMed ID: 15025236
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Testing MACRO (version 5.1) for pesticide leaching in a Dutch clay soil.
    Scorza Júnior RP; Jarvis NJ; Boesten JJ; van der Zee SE; Roulier S
    Pest Manag Sci; 2007 Oct; 63(10):1011-25. PubMed ID: 17708522
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Validation of pesticide root zone model 3.12: employing uncertainty analysis.
    Carbone JP; Havens PL; Warren-Hicks W
    Environ Toxicol Chem; 2002 Aug; 21(8):1578-90. PubMed ID: 12152757
    [TBL] [Abstract][Full Text] [Related]  

  • 20. User subjectivity in Monte Carlo modeling of pesticide exposure.
    Beulke S; Brown CD; Dubus IG; Galicia H; Jarvis N; Schaefer D; Trevisan M
    Environ Toxicol Chem; 2006 Aug; 25(8):2227-36. PubMed ID: 16916043
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.