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14 - Civil and Construction Engineering

University of Strathclyde

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Article title

Multivariate statistical methods for the environmental forensic classification of coal tars from former manufactured gas plants

Type

D - Journal article

DOI

10.1021/es203708w

Title of journal

Environmental Science and Technology

Article number

Volume number

Issue number

First page of article

3744

ISSN of journal

0013-936X

Year of publication

2012

URL

Number of additional authors

Additional information

This paper along with a second on "ultra-resolution chemical fingerprinting of DNAPLs were awarded by UK Industry the ‘Best Scientific or Verification Advancement’ in 2012 (http://www.brownfieldbriefing.com/) . The paper showed that multivariate statistical analysis was able to identify the source of coal tars in the ground up to 100 years, including ability to predict the processes used to create unknown samples. The new statistical methods were applied in Africa by Australian scientists to discriminate human health impact from mining in Zambia (http://dx.doi.org/10.1016/j.ijheh.2013.03.011, http://planetearth.nerc.ac.uk/news/story.aspx?id=1491&cookieConsent=A).

Interdisciplinary

Cross-referral requested

Research group

A - Department of Civil and Environmental Engineering

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract