137 related articles for article (PubMed ID: 17765289)
1. Calibration and validation of a dynamic water model in agricultural scenarios.
Infantino A; Pereira T; Ferrari C; Cerejeira MJ; Di Guardo A
Chemosphere; 2008 Jan; 70(7):1298-308. PubMed ID: 17765289
[TBL] [Abstract][Full Text] [Related]
2. Pesticide exposure assessment in rice paddies in Europe: a comparative study of existing mathematical models.
Karpouzas DG; Cervelli S; Watanabe H; Capri E; Ferrero A
Pest Manag Sci; 2006 Jul; 62(7):624-36. PubMed ID: 16718738
[TBL] [Abstract][Full Text] [Related]
3. Application of the RICEWQ-VADOFT model for simulating the environmental fate of pretilachlor in rice paddies.
Karpouzas DG; Ferrero A; Vidotto F; Capri E
Environ Toxicol Chem; 2005 Apr; 24(4):1007-17. PubMed ID: 15839578
[TBL] [Abstract][Full Text] [Related]
4. Simulation of mefenacet concentrations in paddy fields by an improved PCPF-1 model.
Watanabe H; Takagi K; Vu SH
Pest Manag Sci; 2006 Jan; 62(1):20-9. PubMed ID: 16261540
[TBL] [Abstract][Full Text] [Related]
5. Exposure risk assessment and evaluation of the best management practice for controlling pesticide runoff from paddy fields. Part 2: model simulation for the herbicide pretilachlor.
Phong TK; Vu SH; Ishihara S; Hiramatsu K; Watanabe H
Pest Manag Sci; 2011 Jan; 67(1):70-6. PubMed ID: 20954170
[TBL] [Abstract][Full Text] [Related]
6. Hydrologic and atrazine simulation of the Cedar Creek Watershed using the SWAT model.
Larose M; Heathman GC; Norton LD; Engel B
J Environ Qual; 2007; 36(2):521-31. PubMed ID: 17332256
[TBL] [Abstract][Full Text] [Related]
7. Effect of uncertainties in agricultural working schedules and Monte-Carlo evaluation of the model input in basin-scale runoff model analysis of herbicides.
Matsui Y; Inoue T; Matsushita T; Yamada T; Yamamoto M; Sumigama Y
Water Sci Technol; 2005; 51(3-4):329-37. PubMed ID: 15850206
[TBL] [Abstract][Full Text] [Related]
8. Scenario-based simulation of runoff-related pesticide entries into small streams on a landscape level.
Probst M; Berenzen N; Lentzen-Godding A; Schulz R
Ecotoxicol Environ Saf; 2005 Oct; 62(2):145-59. PubMed ID: 15953635
[TBL] [Abstract][Full Text] [Related]
9. Simulating concentration of bensulphuron-methyl in a drainage canal of a paddy block using a rice pesticide model.
Phong TK; Hiramatsu K; Watanabe H
Environ Technol; 2011 Jan; 32(1-2):69-81. PubMed ID: 21473270
[TBL] [Abstract][Full Text] [Related]
10. Improvement and application of the PCPF-1@SWAT2012 model for predicting pesticide transport: a case study of the Sakura River watershed.
Tu LH; Boulange J; Iwafune T; Yadav IC; Watanabe H
Pest Manag Sci; 2018 Nov; 74(11):2520-2529. PubMed ID: 29656603
[TBL] [Abstract][Full Text] [Related]
11. Modeling complexity in simulating pesticide fate in a rice paddy.
Luo Y; Spurlock F; Gill S; Goh KS
Water Res; 2012 Dec; 46(19):6300-8. PubMed ID: 23021519
[TBL] [Abstract][Full Text] [Related]
12. Uncalibrated modelling of conservative tracer and pesticide leaching to groundwater: comparison of potential Tier II exposure assessment models.
Fox GA; Sabbagh GJ; Chen W; Russell MH
Pest Manag Sci; 2006 Jun; 62(6):537-50. PubMed ID: 16625679
[TBL] [Abstract][Full Text] [Related]
13. Model development for nutrient loading estimates from paddy rice fields in Korea.
Jeon JH; Yoon CG; Ham JH; Jung KW
J Environ Sci Health B; 2004; 39(5-6):845-60. PubMed ID: 15620091
[TBL] [Abstract][Full Text] [Related]
14. Sensitivity analysis using a diffuse pollution hydrologic model to assess factors affecting pesticide concentrations in river water.
Tani K; Matsui Y; Narita K; Ohno K; Matsushita T
Water Sci Technol; 2010; 62(11):2579-89. PubMed ID: 21099045
[TBL] [Abstract][Full Text] [Related]
15. Comparative study of model prediction of diffuse nutrient losses in response to changes in agricultural practices.
Vagstad N; French HK; Andersen HE; Behrendt H; Grizzetti B; Groenendijk P; Lo Porto A; Reisser H; Siderius C; Stromquist J; Hejzlar J; Deelstra J
J Environ Monit; 2009 Mar; 11(3):594-601. PubMed ID: 19280037
[TBL] [Abstract][Full Text] [Related]
16. Impact of pretilachlor herbicide and pyridaphenthion insecticide on aquatic organisms in model streams.
Takahashi Y; Houjyo T; Kohjimoto T; Takagi Y; Mori K; Muraoka T; Annoh H; Ogiyama K; Funaki Y; Tanaka K; Wada Y; Fujita T
Ecotoxicol Environ Saf; 2007 Jun; 67(2):227-39. PubMed ID: 16890290
[TBL] [Abstract][Full Text] [Related]
17. Dynamic modeling of organophosphate pesticide load in surface water in the northern San Joaquin Valley watershed of California.
Luo Y; Zhang X; Liu X; Ficklin D; Zhang M
Environ Pollut; 2008 Dec; 156(3):1171-81. PubMed ID: 18457909
[TBL] [Abstract][Full Text] [Related]
18. A study on pesticide runoff from paddy fields to a river in rural region--2: development and application of a mathematical model.
Nakano Y; Yoshida T; Inoue T
Water Res; 2004 Jul; 38(13):3023-30. PubMed ID: 15261540
[TBL] [Abstract][Full Text] [Related]
19. Assessment of potential aquatic herbicide impacts to California aquatic ecosystems.
Siemering GS; Hayworth JD; Greenfield BK
Arch Environ Contam Toxicol; 2008 Oct; 55(3):415-31. PubMed ID: 18293029
[TBL] [Abstract][Full Text] [Related]
20. Modeling riverine nitrate export from an East-Central Illinois watershed using SWAT.
Hu X; McIsaac GF; David MB; Louwers CA
J Environ Qual; 2007; 36(4):996-1005. PubMed ID: 17526878
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
