Statistical approach for the source identification of boron in leachates from industrial landfills |
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Authors: | Jun Yoshinaga Akiko Kida Osami Nakasugi |
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Institution: | (1) Institute of Environmental Studies, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan Tel. +81-3-5841-7442; Fax +81-3-5684-3298 e-mail: junyosh@k.u-tokyo.ac.jp, JP;(2) Hiroshima Prefectural Health and Environment Center, Hiroshima, Japan, JP;(3) National Institute for Environmental Studies, Ibaraki, Japan, JP |
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Abstract: | Boron has been found in high concentrations in leachates from landfills located throughout Japan. However, the source(s) of
boron in the leachates, i.e., what kind of waste(s) releases this element into the leachate, has not been clarified. In this
study, boron concentrations in leachates from 48 industrial landfills were evaluated, in relation to the categories of waste
constituting the landfill in each of the sites, by multiple regression analysis. The multiple regression analyses were carried
out using the log-transformed boron concentration as a dependent variable and each of 19 categories of industrial waste (according
to the Japanese Waste Disposal and Public Cleansing Law) as independent variables. Stepwise variable selection was employed
in the analyses. Although the significant variable(s) selected varied according to the data sets analyzed (viz., data sets from least controlled landfill sites, from controlled landfill sites, and from both), cinders, slag, and waste
plastics emerged as wastes with positive partial regression coefficients that significantly explained the boron levels in
the leachates. These results indicated that cinders, slag, and waste plastics were the sources of high concentrations of boron
in the leachates. The results of the present exploratory statistical analyses warrant a systematic survey of the boron contents
of, and leachability from, cinders, slag, and waste plastics.
Received: January 17, 2000 / Accepted: July 24, 2000 |
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Keywords: | Boron Leachate Landfill Multiple regression analysis Source identification |
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