Literature DB >> 17099930

Exposure risk assessment and evaluation of the best management practice for controlling pesticide runoff from paddy fields. Part 1: Paddy watershed monitoring.

Son Hong Vu1, Satoru Ishihara, Hirozumi Watanabe.   

Abstract

Rice pesticide concentrations in surface water along with hydrological balance and water management conditions were investigated in a paddy watershed of about 100 ha at the Sakura river basin in Tsukuba, Japan, for 3 years from April 2002. Monitoring on different hydrological scales ranging from a paddy plot up to a watershed determined the importance of water management associated with rainfall events and the cyclic irrigation for reducing pesticide discharge into aquatic environments. Surface drainage significantly increased as a response to rainfall events greater than about 1.5 cm day(-1). A total of 16 herbicides were detected in the stream water and their peak concentrations mostly occurred from early to mid-May following the pesticide application period. Two water management factors influencing the pesticide runoff from paddy fields were defined: excess water storage capacity (EWSC) and water holding period (WHP). Uncertainty analyses of pesticide discharge from a paddy plot for dymron (daimuron) and imazosulfuron (IMS) were performed using Monte Carlo simulation (MCS) with prescribed probability of rainfall and water management practice from observations over a period of 3 years. Application of an intermittent irrigation scheme with shallow water depth practice and high drainage gate to maintain the EWSC > 2 cm and increasing WHP from the current Japanese Agricultural Chemicals Regulation law of 3-4 days to at least 10 days were recommended for reducing the pesticide runoff from paddy fields in a monsoon region such as in Japan. The combination of good water management in field plots and small-scale water cycling is the best management practice for controlling pesticide discharge from paddy watersheds. Copyright 2006 Society of Chemical Industry.

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Year:  2006        PMID: 17099930     DOI: 10.1002/ps.1295

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  4 in total

1.  Improved PADDY-Large model including lateral seepage loss from paddy fields to predict pesticide behavior in river basins.

Authors:  Keiya Inao; Nobusuke Iwasaki; Ikuko Kitayama; Takeshi Horio
Journal:  J Pestic Sci       Date:  2016-05-20       Impact factor: 1.519

2.  Impacts of climate-induced changes on the distribution of pesticides residues in water and sediment of Lake Naivasha, Kenya.

Authors:  Peter O Otieno; P Okinda Owuor; Joseph O Lalah; Gerd Pfister; Karl-Werner Schramm
Journal:  Environ Monit Assess       Date:  2012-07-15       Impact factor: 2.513

3.  Screening of inorganic and organic contaminants in floodwater in paddy fields of Hue and Thanh Hoa in Vietnam.

Authors:  Ha Thu Trinh; Helle Marcussen; Hans Christian B Hansen; Giang Truong Le; Hanh Thi Duong; Nguyen Thuy Ta; Trung Quang Nguyen; Soren Hansen; Bjarne W Strobel
Journal:  Environ Sci Pollut Res Int       Date:  2017-01-20       Impact factor: 4.223

4.  Herbicide discharge from rice paddy fields by surface runoff and percolation flow: A case study in paddy fields in the Lake Biwa basin, Japan.

Authors:  Miki Sudo; Yuko Goto; Kenji Iwama; Yoshifumi Hida
Journal:  J Pestic Sci       Date:  2018-02-28       Impact factor: 1.519

  4 in total

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