論文

査読有り
2011年10月1日

A new approach to estimate concentrations of alcohol ethoxylate in rivers in Japan for screening-level risk assessment

Journal of Risk Research
  • Bin-Le Lin
  • ,
  • Yaobin Meng
  • ,
  • Yuriko Ishikawa
  • ,
  • Akihiro Tokai

14
9
開始ページ
1109
終了ページ
1126
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/13669877.2011.571791

Alcohol ethoxylate (AE) is a widely used household detergent that is ubiquitous in aquatic environments. To assess and manage the risk of AE, its environmental exposure concentrations must be evaluated in rivers nationwide
however, very few AE monitoring data are currently available. Furthermore, developing a rigorous exposure model that would cover rivers nationwide would require a great deal of time, human resources, and money. We developed a new approach to estimate AE concentrations in rivers throughout Japan for screening-level risk assessment. In this approach, five-day biochemical oxygen demand (BOD 5) data were used as a surrogate indicator of the AE concentration in river water. The Tama and Nikko Rivers were ranked according to their BOD 5 data, and the AE concentrations of the Nikko River were then estimated using the Standardized Hydrology-based Assessment tool for chemical Exposure Load (AIST-SHANEL) model. For each river, the concentrations of AE in its waters were projected based on that rivers reported BOD 5 values, its ranking, the approximation formula for AE and BOD 5, and estimated AE concentrations in water of the Nikko River from the model. The accuracy of the projected values was validated by comparing the projected AE concentrations in water from the Tama River with its monitoring data. There are various technical uncertainties associated with this approach
however, our results suggest that this new approach can be applied in screening-level exposure assessment of other chemical substances that have properties similar to AE. © 2011 Taylor &amp
Francis.

リンク情報
DOI
https://doi.org/10.1080/13669877.2011.571791
ID情報
  • DOI : 10.1080/13669877.2011.571791
  • ISSN : 1366-9877
  • ISSN : 1466-4461
  • SCOPUS ID : 84857814719

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