MISC

2011年1月

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

PEST MANAGEMENT SCIENCE
  • Thai Khanh Phong
  • ,
  • Son Hong Vu
  • ,
  • Satoru Ishihara
  • ,
  • Kazuaki Hiramatsu
  • ,
  • Hirozumi Watanabe

67
1
開始ページ
70
終了ページ
76
記述言語
英語
掲載種別
DOI
10.1002/ps.2033
出版者・発行元
WILEY

BACKGROUND: Monitoring studies revealed high concentrations of pesticides in the drainage canal of paddy fields. It is important to have a way to predict these concentrations in different management scenarios as an assessment tool. A simulation model for predicting the pesticide concentration in a paddy block (PCPF-B) was evaluated and then used to assess the effect of water management practices for controlling pesticide runoff from paddy fields.
RESULTS: The PCPF-B model achieved an acceptable performance. The model was applied to a constrained probabilistic approach using the Monte Carlo technique to evaluate the best management practices for reducing runoff of pretilachlor into the canal. The probabilistic model predictions using actual data of pesticide use and hydrological data in the canal showed that the water holding period (WHP) and the excess water storage depth (EWSD) effectively reduced the loss and concentration of pretilachlor from paddy fields to the drainage canal. The WHP also reduced the timespan of pesticide exposure in the drainage canal.
CONCLUSIONS: It is recommended that: (1) the WHP be applied for as long as possible, but for at least 7 days, depending on the pesticide and field conditions; (2) an EWSD greater than 2 cm be maintained to store substantial rainfall in order to prevent paddy runoff, especially during the WHP. (C) 2010 Society of Chemical Industry

リンク情報
DOI
https://doi.org/10.1002/ps.2033
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000285847200009&DestApp=WOS_CPL
ID情報
  • DOI : 10.1002/ps.2033
  • ISSN : 1526-498X
  • eISSN : 1526-4998
  • Web of Science ID : WOS:000285847200009

エクスポート
BibTeX RIS