178 related articles for article (PubMed ID: 20954170)
1. 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]
2. Exposure risk assessment and evaluation of the best management practice for controlling pesticide runoff from paddy fields. Part 1: Paddy watershed monitoring.
Vu SH; Ishihara S; Watanabe H
Pest Manag Sci; 2006 Dec; 62(12):1193-206. PubMed ID: 17099930
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. 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]
6. 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]
7. Estimation of pesticide runoff from paddy fields to rural rivers.
Numabe A; Nagahora S
Water Sci Technol; 2006; 53(2):139-46. PubMed ID: 16594332
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
13. 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]
14. Runoff characteristics of particulate pesticides in a river from paddy fields.
Inoue T; Ebise S; Numabe A; Nagafuchi O; Matsui Y
Water Sci Technol; 2002; 45(9):121-6. PubMed ID: 12079093
[TBL] [Abstract][Full Text] [Related]
15. Comparative ecological risks of pesticides used in plantation production of papaya: application of the SYNOPS indicator.
Hernández-Hernández CN; Valle-Mora J; Santiesteban-Hernández A; Bello-Mendoza R
Sci Total Environ; 2007 Aug; 381(1-3):112-25. PubMed ID: 17482661
[TBL] [Abstract][Full Text] [Related]
16. Pesticides in the Rhône river delta (France): basic data for a field-based exposure assessment.
Comoretto L; Arfib B; Chiron S
Sci Total Environ; 2007 Jul; 380(1-3):124-32. PubMed ID: 17324449
[TBL] [Abstract][Full Text] [Related]
17. Runoff characteristics of pesticides from paddy fields and reduction of risk to the aquatic environment.
Ebise S; Inoue T
Water Sci Technol; 2002; 45(9):127-31. PubMed ID: 12079094
[TBL] [Abstract][Full Text] [Related]
18. Mass loading and partitioning of dioxins in irrigation runoff from Japanese paddy fields: combination usage of the CALUX assay with HRGC/HRMS.
Kanematsu M; Shimizu Y; Sato K; Kim S; Suzuki T; Park B; Saino R; Nakamura M
Chemosphere; 2009 Aug; 76(6):860-6. PubMed ID: 19443016
[TBL] [Abstract][Full Text] [Related]
19. Runoff of pesticides from rice fields in the Ile de Camargue (Rhône river delta, France): field study and modeling.
Comoretto L; Arfib B; Talva R; Chauvelon P; Pichaud M; Chiron S; Höhener P
Environ Pollut; 2008 Feb; 151(3):486-93. PubMed ID: 17562351
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]