Document Detail

Selecting analytical target pesticides in monitoring: Sensitivity analysis and scoring.
MedLine Citation:
PMID:  22154284     Owner:  NLM     Status:  Publisher    
Measuring river water concentrations of all pesticides applied in a catchment area is a daunting task. This study aims to develop new score tables for selecting analytical target pesticides. Sensitivity analyses were conducted using a diffuse pollution hydrologic model to quantitatively evaluate the influence of pesticide properties (e.g., log K(OC), degradability [half-life]) on concentrations of rice-farming pesticides in river water. Using the results of the analyses, score tables were systematically designed for the pesticide properties such that the sum of the scores for a particular pesticide, designated as the contamination index, was proportional to the expected/predicted concentration of that pesticide in river water. The contamination indexes for pesticides applied in three river basins were calculated and compared with the corresponding observed pesticide concentrations. Correlations between contamination indexes and observed concentrations were fairly good. Pesticides were ranked according to the quotients obtained by dividing the pesticide concentrations predicted from the contamination indexes by the corresponding drinking-water quality guideline values, and pesticide candidates to be monitored were successfully selected on the basis of a threshold quotient.
Koji Tani; Yoshihiko Matsui; Kensuke Iwao; Motoyuki Kamata; Taku Matsushita
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-11-25
Journal Detail:
Title:  Water research     Volume:  -     ISSN:  1879-2448     ISO Abbreviation:  -     Publication Date:  2011 Nov 
Date Detail:
Created Date:  2011-12-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0105072     Medline TA:  Water Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
Graduate School of Engineering, Hokkaido University, N13W8, Sapporo 060-8628, Japan.
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