Probabilistic assessment of herbicide runoff from Japanese rice paddies: The effects of local meteorological conditions and site-specific water management

• Kondo Kei

  Tokyo University of Agriculture and Technology

• Boulange Julien

  Tokyo University of Agriculture and Technology

• Phong Thai Khanh

  National Research Centre for Environmental Toxicology, University of Queensland Kyushu University

• Hiramatsu Kazuaki

  Kyushu University

• Inoue Tsuyoshi

  Water Supply Authority of Southern Fukuoka Prefecture

• Watanabe Hirozumi

  Tokyo University of Agriculture and Technology

Bibliographic Information

Other Title

• 日本の水田における除草剤の流出に関する確率論的評価 : 地域における気象および水管理特性が及ぼす影響について
• Probabilistic assessment of herbicide runoff from Japanese rice paddies: the effects of local meteorological conditions and site specific water managements

Abstract

Uncertainty assessments of herbicide losses from rice paddies in Japan associated with local meteorological conditions and water management practices were performed using a pesticide fate and transport model, PCPF-1, under the Monte Carlo (MC) simulation scheme. First, MC simulations were conducted for five different cities with a prescribed water management scenario and a 10-year meteorological dataset of each city. The effectiveness of water management was observed regarding the reduction of pesticide runoff. However, a greater potential of pesticide runoff remained in Western Japan. Secondly, an extended analysis was attempted to evaluate the effects of local water management and meteorological conditions between the Chikugo River basin and the Sakura River basin using uncertainty inputs processed from observed water management data. The results showed that because of more severe rainfall events, significant pesticide runoff occurred in the Chikugo River basin even when appropriate irrigation practices were implemented.

Journal

• Journal of Pesticide Science

  Journal of Pesticide Science 37 (4), 312-322, 2012

  Pesticide Science Society of Japan

Keywords

• process-based model
• herbicide runoff
• uncertainty
• variability
• paddy water management
• Monte Carlo simulation

Details

• CRID: 1390001205211571072
• NII Article ID: 40019498210
• NII Article ID: 10030966234
• NII Article ID: 130004445289
• NII Book ID: AA11818622
• DOI: 10.1584/jpestics.d11-058
• ISSN: 13490923
• ISSN: 03851559
• ISSN: 1348589X
• NDL BIB ID: 024106425
• Web Site: https://agriknowledge.affrc.go.jp/RN/2010850077
• Web Site: http://id.ndl.go.jp/bib/024106425
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024106425
• Web Site: https://www.jstage.jst.go.jp/article/jpestics/37/4/37_D11-058/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • IRDB
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed