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Global Distribution of Persistent Organochlorine Compounds
Abstract
The global distribution of 22 potentially harmful organochlorine compounds was investigated in more than 200 tree bark samples from 90 sites worldwide. High concentrations of organochlorines were found not only in some developing countries but also in industrialized countries, which continue to be highly contaminated even though the use of many of these compounds is restricted. The distribution of relatively volatile organochlorine compounds (such as hexachlorobenzene) is dependent on latitude and demonstrates the global distillation effect, whereas less volatile organochlorine compounds (such as endosulfan) are not as effectively distilled and tend to remain in the region of use.
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Citations
Cited by
Phytovolatilization of Organic Contaminants
Limmer, M., & Burken, J. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b04113 · Cited by 305
Criteria for assessing the quality of health information on the Internet
(2001) · American Journal of Public Health · doi:10.2105/ajph.91.3.513 · Cited by 74
Metadata
- Authors
- Simonich, S. L., & Hites, R. A.
- Venue
- Science
- Published
- 1995-09-29
- Volume
- 269
- Issue
- 5232
- Pages
- 1851-1854
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2069783643
- Cited by
- 758
- References
- 0
- FWCI
- 28.12
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Global Distribution of Persistent Organochlorine Compounds. https://app.cochat.ai/papers/10.1126/science.7569923
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- Simonich, S. L., & Hites, R. A. (1995). Global Distribution of Persistent Organochlorine Compounds. Science. https://doi.org/10.1126/science.7569923
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
