Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Thomas H. Barringer"'
Autor:
Paul E. Stackelberg, Thomas H. Barringer, Leon J. Kauffman, David P. Krabbenhoft, Shilpa Rajagopalan, Julia L. Barringer, Zoltan Szabo, Tamara Ivahnenko
Publikováno v:
Science of The Total Environment. 346:169-183
Concentrations of total mercury (Hg) from 2 microg/L (the USEPA maximum contaminant level) to 72 microg/L in water from about 600 domestic wells in residential parts of eight counties in southern New Jersey have been reported by State and county agen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca05326bb17a4f4de1b48838ccf7eef4
https://doi.org/10.1016/j.scitotenv.2004.11.013
https://doi.org/10.1016/j.scitotenv.2004.11.013
Publikováno v:
Groundwater Monitoring & Remediation. 13:129-138
Electromagnetic (EM) logging provides an efficient method for high-resolution, vertical delineation of electrically conductive contamination in glacial sand-and-gravel aquifers. LM. gamma, and lithologic logs and specific conductance data from sand-a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e7d31e3d0a1219bed6062348b26e297
https://doi.org/10.1111/j.1745-6592.1993.tb00082.x
https://doi.org/10.1111/j.1745-6592.1993.tb00082.x
Autor:
Tony E. Smith, Thomas H. Barringer
Publikováno v:
Regional Science and Urban Economics. 22:387-403
When spatial samples are statistically dependent, the classical estimator of sample-mean standard deviation is well known to be inconsistent. For locally dependent samples, however, consistent estimators of sample-mean standard deviation can be const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db30fb07bb481ade9d9982ccf111428c
https://doi.org/10.1016/0166-0462(92)90036-z
https://doi.org/10.1016/0166-0462(92)90036-z
Publikováno v:
Journal of the American Water Resources Association. 26:1-9
Efforts to relate shallow ground-water quality to the land use near a well lead to several statistical difficulties. These include potential uncertainty in land-use categorical data due to misclassification, data closure, distributional skewing, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9acdc595661e00f054deefba5b3ada02
https://doi.org/10.1111/j.1752-1688.1990.tb01345.x
https://doi.org/10.1111/j.1752-1688.1990.tb01345.x
Publikováno v:
Open-File Report.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a07d4af249c9031b51487fda1a897b0
https://doi.org/10.3133/ofr99257
https://doi.org/10.3133/ofr99257