Literature DB >> 15366239

Geostatistics and GIS: tools for characterizing environmental contamination.

Shannon L Henshaw1, Frank C Curriero, Timothy M Shields, Gregory E Glass, Paul T Strickland, Patrick N Breysse.   

Abstract

Geostatistics is a set of statistical techniques used in the analysis of georeferenced data that can be applied to environmental contamination and remediation studies. In this study, the 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE) contamination at a Superfund site in western Maryland is evaluated. Concern about the site and its future clean up has triggered interest within the community because residential development surrounds the area. Spatial statistical methods, of which geostatistics is a subset, are becoming increasingly popular, in part due to the availability of geographic information system (GIS) software in a variety of application packages. In this article, the joint use of ArcGIS software and the R statistical computing environment are demonstrated as an approach for comprehensive geostatistical analyses. The spatial regression method, kriging, is used to provide predictions of DDE levels at unsampled locations both within the site and the surrounding areas where residential development is ongoing.

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Year:  2004        PMID: 15366239     DOI: 10.1023/b:joms.0000032849.42310.4e

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  13 in total

1.  Analysis of mosquito vector species abundances in Maryland using geographic information systems.

Authors:  S M Shone; P N Ferrao; C R Lesser; D E Norris; G E Glass
Journal:  Ann N Y Acad Sci       Date:  2001-12       Impact factor: 5.691

2.  Using rank-order geostatistics for spatial interpolation of highly skewed data in a heavy-metal contaminated site.

Authors:  K W Juang; D Y Lee; T R Ellsworth
Journal:  J Environ Qual       Date:  2001 May-Jun       Impact factor: 2.751

3.  Selective remediation of contaminated sites using a two-level multiphase strategy and geostatistics.

Authors:  Hirotaka Saito; Pierre Goovaerts
Journal:  Environ Sci Technol       Date:  2003-05-01       Impact factor: 9.028

4.  Application of geostatistics to risk assessment.

Authors:  William C Thayer; Daniel A Griffith; Philip E Goodrum; Gary L Diamond; James M Hassett
Journal:  Risk Anal       Date:  2003-10       Impact factor: 4.000

5.  Geographic epidemiology of gonorrhea in Baltimore, Maryland, using a geographic information system.

Authors:  K M Becker; G E Glass; W Brathwaite; J M Zenilman
Journal:  Am J Epidemiol       Date:  1998-04-01       Impact factor: 4.897

6.  Application of geostatistical methods for estimation of the dispersion variance of occupational exposures.

Authors:  B Preat
Journal:  Am Ind Hyg Assoc J       Date:  1987-10

Review 7.  The human health effects of DDT (dichlorodiphenyltrichloroethane) and PCBS (polychlorinated biphenyls) and an overview of organochlorines in public health.

Authors:  M P Longnecker; W J Rogan; G Lucier
Journal:  Annu Rev Public Health       Date:  1997       Impact factor: 21.981

8.  Environmental risk factors for Lyme disease identified with geographic information systems.

Authors:  G E Glass; B S Schwartz; J M Morgan; D T Johnson; P M Noy; E Israel
Journal:  Am J Public Health       Date:  1995-07       Impact factor: 9.308

9.  Using geographic information systems to assess spatial patterns of drug use, selection bias and attrition among a sample of injection drug users.

Authors:  C Latkin; G E Glass; T Duncan
Journal:  Drug Alcohol Depend       Date:  1998-04-01       Impact factor: 4.492

10.  Predicting Ixodes scapularis abundance on white-tailed deer using geographic information systems.

Authors:  G E Glass; F P Amerasinghe; J M Morgan; T W Scott
Journal:  Am J Trop Med Hyg       Date:  1994-11       Impact factor: 2.345

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  3 in total

1.  Exposures to fine particulate air pollution and respiratory outcomes in adults using two national datasets: a cross-sectional study.

Authors:  Keeve E Nachman; Jennifer D Parker
Journal:  Environ Health       Date:  2012-04-10       Impact factor: 5.984

2.  Influence of geographic location in modeling blood pesticide levels in a community surrounding a U.S. Environmental protection agency superfund site.

Authors:  Shannon H Gaffney; Frank C Curriero; Paul T Strickland; Gregory E Glass; Kathy J Helzlsouer; Patrick N Breysse
Journal:  Environ Health Perspect       Date:  2005-12       Impact factor: 9.031

3.  A study of chlorinated solvent contamination of the aquifers of an industrial area in central Italy: a possibility of bioremediation.

Authors:  Federica Matteucci; Claudia Ercole; Maddalena Del Gallo
Journal:  Front Microbiol       Date:  2015-09-02       Impact factor: 5.640

  3 in total

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