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Volumn 7, Issue 3, 1997, Pages 81-96

Adaptive sampling and analysis programs for contaminated soils

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EID: 33646556496     PISSN: 10515658     EISSN: 15206831     Source Type: Journal    
DOI: 10.1002/rem.3440070307     Document Type: Article
Times cited : (9)

References (9)
  • 5
    • 0001459317 scopus 로고    scopus 로고
    • A Bayesian/Geostatistical Approach to the Design of Adaptive Sampling Programs
    • ASTM STP 1283., S. Rouhani, R. M. Srivastava, A. J. Desbarats, M. V. Cromer, A. I. Johnson, (Eds.),, American Society for Testing and Materials, Philadelphia, PA, 1996
    • Johnson, R. L. 1996. A Bayesian/Geostatistical Approach to the Design of Adaptive Sampling Programs. Geostatistics for Environmental and Geotechnical Applications, ASTM STP 1283. S. Rouhani, R. M. Srivastava, A. J. Desbarats, M. V. Cromer, and A. I. Johnson (Eds.), American Society for Testing and Materials. Philadelphia, PA. 1996.
    • (1996) Geostatistics for Environmental and Geotechnical Applications
    • Johnson, R.L.1
  • 8
    • 85040484659 scopus 로고
    • Analytical Services Program Five-Year Plan. Laboratory Management Division, Office of Environmental Restoration and Waste Management. Washington, DC. Jan. 29
    • United States Department of Energy (U.S. DOE). 1992. Analytical Services Program Five-Year Plan. Laboratory Management Division, Office of Environmental Restoration and Waste Management. Washington, DC. Jan. 29.
    • (1992)
  • 9
    • 85040471893 scopus 로고
    • Guidance for the Data Quality Objectives Process. EPA QA/G-4. Washington, DC. Sept
    • United States Environmental Protection Agency, (U.S. EPA). 1994. Guidance for the Data Quality Objectives Process. EPA QA/G-4. Washington, DC. Sept.
    • (1994)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.