Relevant bibliographies by topics / Environmental sampling

Academic literature on the topic 'Environmental sampling'

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Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Environmental sampling"

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Chriswell, Colin. "Books: Environmental sampling." Analytical Chemistry 69, no. 13 (July 1997): 424A—425A. http://dx.doi.org/10.1021/ac971695y.

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Zhang, J., and C. Zhang. "Sampling and sampling strategies for environmental analysis." International Journal of Environmental Analytical Chemistry 92, no. 4 (April 15, 2012): 466–78. http://dx.doi.org/10.1080/03067319.2011.581371.

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Ziegel, Eric R. "Principles of Environmental Sampling." Technometrics 32, no. 3 (August 1990): 357. http://dx.doi.org/10.1080/00401706.1990.10484709.

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Keith, Lawrence H. "Environmental sampling: a summary." Environmental Science & Technology 24, no. 5 (May 1990): 610–17. http://dx.doi.org/10.1021/es00075a003.

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Lodge, James P. "Principles of environmental sampling." Atmospheric Environment (1967) 23, no. 7 (January 1989): 1623–24. http://dx.doi.org/10.1016/0004-6981(89)90429-0.

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Lacey, Kathleen. "Principles of environmental sampling." Endeavour 12, no. 4 (January 1988): 193–94. http://dx.doi.org/10.1016/0160-9327(88)90171-8.

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Marr, I. L. "Principles of environmental sampling." Talanta 38, no. 9 (September 1991): 1069. http://dx.doi.org/10.1016/0039-9140(91)80332-t.

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Khaluf, Yara, and Pieter Simoens. "Collective sampling of environmental features under limited sampling budget." Journal of Computational Science 31 (February 2019): 95–110. http://dx.doi.org/10.1016/j.jocs.2019.01.005.

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Williams, John G. "Sampling for Environmental Flow Assessments." Fisheries 35, no. 9 (September 2010): 434–43. http://dx.doi.org/10.1577/1548-8446-35.9.434.

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Clement, Ray E. "Environmental Sampling for Trace Analysis." Analytical Chemistry 64, no. 22 (November 15, 1992): 1076A—1081A. http://dx.doi.org/10.1021/ac00046a717.

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Dissertations / Theses on the topic "Environmental sampling"

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Fishman, Benjamin. "Influence of Environmental Parameters on Mold Sampling Results." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6838.

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Mold is a type of fungus present in nearly all environments. Mold thrives under several environmental parameters such as high humidity and an adequate food source. A professional, such as an industrial hygienist, can measure mold in indoor and outdoor environments. Industrial hygienists commonly use a cascade impactor with a culture plate to capture air within a sampling area. While collecting air samples, environmental parameters such as temperature, humidity, and carbon dioxide are recorded. A laboratory then cultures and analyzes the samples, identifying the types and amounts of viable mold found in the sampling area. In this study, a data analysis method is used to interpret lab results and compare those results to the environmental parameters measured during collection. The study aims to show the relationship between the environmental parameters (temperature, humidity, carbon dioxide) and the types and amounts of mold that were measured in both indoor built environments and their surrounding outdoor areas. Among all 170 different sampling locations, the outdoor areas had higher counts and concentrations of mold. In addition, both indoor and outdoor areas saw Penicillium, Aspergillus, and Cladosporium as the most prevalent molds, with Cladosporium having the highest counts. Lower temperatures and humidity had a very small influence on mold growth and thus, yielded the lowest counts. Furthermore, the highest concentrations of mold were found within the same temperature and humidity ranges for both indoor and outdoor environments.
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Eichinski, Philip. "Smart sampling of environmental audio recordings for biodiversity monitoring." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123022/1/Philip_Eichinski_Thesis.pdf.

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This thesis contributes to the field of acoustic environmental monitoring by developing novel semiautomated methods of processing long audio recordings to conduct species richness surveys efficiently. These methods allow a machine to select rich subset of the recordings though estimations of acoustic variety, which can then be presented to the human listener for species identifications. This work represents a step towards more effective biodiversity monitoring of vocal species that can be performed at a larger scale than is possible with traditional methods.
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CAMERADA, Maria Teresa. "Environmental Health Indicators. Proposal of a measurement scale for verification of the effectiveness of cleaning/sanitizing processes/disinfection in nosocomial environment." Doctoral thesis, Università degli studi di Ferrara, 2018. http://hdl.handle.net/11392/2488265.

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The level of environmental hygiene is often evaluated on olfactory and visual perception, in fact there are not universally recognized standards for measuring the effect of a detergent or the effectiveness of sanitation practices. In addition, when sanitation practices are not properly carried out, the environment may become a reservoir for microorganisms that are able to survive for days on furniture and floor surfaces, increasing the risk of infections. Preventive action plans developed in hospitals are mainly focused on controlling infections. This is of particular relevance due to the strong impact of nosocomial infections on economy and health costs for both health care systems and individuals. Infections often occur during hospital stay or after discharge of the admitted patient, thus leading to prolongation of those stays and in the duration of antibiotic therapy. According to some studies, microorganisms responsible for healthcare-related infections (HAIs) such as Staphylococcus spp., in particular Staphylococcus aureus, Enterobacteriaceae, Pseudomonas spp., Candida spp., Acinetobacter spp., are those ones that frequently survive on multiple surfaces and that can be transmitted to patients as a consequence of direct contact or are conveyed by healthcare staff and visitors. In order to define the levels of acceptability and to verify the effectiveness of the sanitizing procedures in nosocomial stays, a microbiological monitoring was performed in seven Italian hospitals, each one located in different geographical area. The study lasted for a total of 18 months. At these facilities two different sanitizing protocols have been applied; in the initial phase, named phase 1, traditional methods with chemical products were used, while in the following period, phase 2, cleaning was carried out by system that is probiotic-based. The results allowed to evaluate how the effectiveness of the cleaning system may influence the degree of contamination. The data were collected from samplings, performed by Rodac plates containing selective or differential culture media suitable for the growth of those microorganisms who were selected as indicators and were responsible for the onset of the bigger number of infections: Staphylococcus spp., Enterobacteriaceae, Acinetobacter spp., Pseudomonas spp., Clostridium difficile, Candida spp. and Aspergillus spp. The sampling areas were chosen because of their importance and criticality: hospital room floor, hospital room sink and footboard bed side. The values taken after 7 hours by morning cleaning, have been implemented in a database and analyzed in order to observe the reduction and/or biostabilization of microbial load in the short and long term. Data analysis allowed the definition of a sampling protocol and an acceptability index of the contamination level.
Il livello di igiene ambientale spesso viene valutato su una percezione visiva e olfattiva, in realtà non sono definiti standard universalmente riconosciuti per misurare l'effetto di un detergente o l'efficacia delle pratiche igienico-sanitarie. Inoltre, qualora le pratiche di sanificazione non vengano eseguite correttamente, l'ambiente può fungere da serbatoio per i microrganismi potenzialmente patogeni, che possono sopravvivere sulle superfici per giorni, aumentando il rischio di acquisizione di infezioni. I piani di azione preventiva sviluppati negli ospedali sono focalizzati principalmente sul controllo delle infezioni. L’importanza attribuita al controllo delle infezioni nosocomiali è dovuto al forte impatto che queste hanno in termini economici sia a carico del sistema sanitario nazionale sia per i privati. Le infezioni spesso possono insorgere durante la degenza in ospedale o dopo la dimissione del paziente ricoverato, prolungando la degenza in ospedale e la durata della terapia antibiotica. Secondo alcuni studi i microrganismi responsabili di infezioni correlate all'assistenza sanitaria (ICA) come Staphylococcus spp, in particolare Staphylococcus aureus, Enterobacteriaceae, Pseudomonas spp., Candida spp., Acinetobacter spp., sono anche quelli che sopravvivono sulle superfici e che possono essere trasmessi ai pazienti come conseguenza di un contatto diretto o trasmessa dai visitatori e dal personale sanitario. Al fine di definire i livelli di accettabilità e verificare l'efficacia delle procedure di sanificazione in degenze nosocomiali, è stato eseguito un monitoraggio microbiologico in 7 ospedali italiani situati in diverse aree geografiche. Lo studio è durato complessivamente 18 mesi ed in ogni struttura sono stati eseguiti campionamenti con cadenza mensile. In questi ospedali sono state applicati due differenti protocolli di sanificazione, in un prima fase, denominata fase 1, sono stati utilizzati metodi tradizionali che hanno previsto l’uso di prodotti chimici, mentre nel periodo successivo, fase 2, le pulizie sono state eseguite con un sistema che impiega detergenti a base di probiotici. I risultati hanno permesso di valutare in che modo l'efficacia del sistema di pulizia può influenzare il grado di contaminazione. I dati sono stati raccolti mediante campionamenti, che sono stati eseguiti con piastre Rodac contenenti terreni di coltura, selettiva o differenziale, per lo sviluppo di microrganismi, responsabili del maggior numero di infezioni ospedaliere, e sono: Staphylococcus spp., Enterobatteriaceae, Acinetobacter spp., Pseudomonas spp., Clostridium difficile, Candida spp. ed Aspergillus spp. Le aree di campionamento sono state scelte per la loro importanza e criticità: pavimento, lavandino e pediera del letto. I valori ottenuti mediante i campionamenti, eseguiti a 7 ore di distanza dalle pulizie mattutine, sono stati implementati in un database ed analizzati per valutare la riduzione e/o biostabilizzazione della carica microbica a breve e lungo termine. L'analisi dei dati ha permesso la definizione di un protocollo di campionamento e di proporre un indice di accettabilità del livello di contaminazione.
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Bucciarelli, Mark. "Cluster sampling methods for monitoring route-level transit ridership." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13485.

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Guevara-Cue, Cristián Angelo. "Endogeneity and Sampling of Alternatives in Spatial Choice Models." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62098.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 147-155).
Addressing the problem of omitted attributes and employing a sampling of alternatives strategy, are two key requirements of practical spatial choice models. The omission of attributes causes endogeneity when the unobserved variables are correlated with the measured variables, precluding the consistent estimation of the model parameters. The consistent estimation while sampling alternatives in non-Logit models has been an open problem for three decades. This dissertation is concerned with both the endogeneity and the sampling of alternatives in non-Logit models, two problems that have hindered the development of suitable modeling tools for urban policy analysis, but have been neglected in spatial choice modeling. For the problem of endogeneity, this research applies, enhances, adapts, and develops efficient and tractable methods to correct and test for it in models of residential location choice, and also develops novel methods to validate the success of the correction. For the problem of sampling of alternatives in non-Logit models, this study develops and demonstrates a novel method to achieve consistency, relative efficiency, and asymptotic normality when the underlying model belongs to the Multivariate Extreme Value class. This development allows for the estimation of spatial choice models with more realistic error structures. Monte Carlo experiments and real data from Lisbon, Portugal, are employed to illustrate the significant benefits of these novel methods in correcting for endogeneity and addressing sampling of alternatives in non-Logit models, with specific reference to urban policy analysis.
by Cristian A. Guevara-Cue.
Ph.D.
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Squire, Sharon. "Quantifying uncertainty from environmental sampling of spatially and temporally variable systems." Thesis, Imperial College London, 2000. http://hdl.handle.net/10044/1/8412.

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Lyn, Jennifer A. "Optimising uncertainty from sampling and analysis of foods and environmental samples." Thesis, University of Sussex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270732.

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Kuntz, Thomas James. "Campylobacter jejuni and Salmonella spp. Detection in Chicken Grow Out Houses by Environmental Sampling Methods." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/42526.

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Campylobacter and Salmonella are foodborne pathogens commonly associated with raw poultry. Although there has been much research done on isolating these pathogens from poultry production environments using cloacal swabs, fecal samples, intestinal tract contents and dissection, research involving environmental sampling has been limited. New and/or improved environmental sampling methods may provide an easy, convenient, and less time-consuming way to collect samples. Coupling these sampling methods with PCR may provide a relatively simple, rapid, and robust means of testing for foodborne pathogens in a chicken house or flock prior to slaughter. Air, boot and sponge samples were collected from three commercial chicken grow-out houses located in southwestern Virginia when flocks were three, four, and five weeks old. Air samples were collected onto gelatin filters. Fecal/litter samples were collected from disposable booties worn over investigatorâ s protective shoe coverings. Pre-moistened sponges were used to sample house feed pans and water dispensers on drink lines. A PCR method was used to qualitatively detect Campylobacter jejuni and Salmonella spp. Campylobacter jejuni was detected at each farm (house), across all three ages (3, 4, and 5 weeks), and from each sample type. Salmonella was not detected in any of the environmental samples. For all 270 samples, 41% (110/270) were positive for Campylobacter. Collectively, 28% (25/90) of air, 44% (40/90) of sponge, and 50% (45/90) of bootie samples were positive for Campylobacter. The methods used in this study are non-invasive to live animals, relatively rapid and specific, and could enable poultry processing facilities to coordinate scheduled processing of flocks with lower pathogen incidence, as a way to reduce post-slaughter pathogen transmission.
Master of Science
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Li, Qihang 1964. "Sampling error and environmental noises in passive microwave rainfall retrieval from space." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11204.

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Bazaco, Michael Constantine. "Quantitative Recovery of Listeria monocytogenes and Salmonella enterica from Environmental Sampling Media." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/30833.

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Environmental sampling is a pathogen monitoring technique that has become important in the food industry. Many food processing companies have adopted environmental sampling as a way to verify good manufacturing practices and sanitation plans in their facilities. Environmental sampling is helpful because it gives better information on the source of product contamination than end product sampling. Two specific pathogens of concern to the food industry are Listeria monocytogenes and Salmonella enterica. Environmental samples are rarely analyzed immediately, but instead may be batched for later analysis or shipped to an off site testing facility. Multiple media on the market today is used for storage and transport of environmental samples. These various media types, differences in holding temperatures and time create variability in test sample conditions. Select time, temperature and media combinations were tested to determine their effect on Listeria monocytogenes and Salmonella enterica populations during transport and storage of samples. Cocktails of Listeria monocytogenes and Salmonella enterica were added separately to sample tubes containing D/E Neutralizing Broth, Neutralizing Buffer or Copan SRK Solution. Bacterial counts at 0, 12, 24 and 48 hours post inoculation were compared. Neutralizing Buffer and Copan SRK Solution maintained consistent bacterial populations at all temperatures. At 10° and 15°C, D/E Broth supported bacterial growth. This study helps validate the use of D/E Neutralizing Broth, Neutralizing Buffer and Copan SRK Solution for environmental sample transport and storage at proper holding temperatures. At temperatures >10°C Neutralizing Buffer or Copan SRK solution should be used if quantifying microbial recovery.
Master of Science
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Books on the topic "Environmental sampling"

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Morgan, JH, ed. Sampling Environmental Media. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 1996. http://dx.doi.org/10.1520/stp1282-eb.

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1950-, Morgan James Howard, ed. Sampling environmental media. West Conshohocken, PA: ASTM, 1996.

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Cheremisinoff, Paul N. Environmental field sampling manual. Northbrook, Ill: Pudvan Publishing, 1987.

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1938-, Keith Lawrence H., and American Chemical Society, eds. Principles of environmental sampling. [Washington, D.C.]: American Chemical Society, 1988.

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Hess-Kosa, Kathleen. Environmental Sampling for Unknowns. London: Taylor and Francis, 2017.

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1938-, Keith Lawrence H., ed. Principles of environmental sampling. 2nd ed. Washington, DC: American Chemical Society, 1996.

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Hess-Kosa, Kathleen. Environmental sampling for unknowns. Boca Raton, Fla: Lewis Publishers, 1996.

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American Society for Testing and Materials. ASTM standards on environmental sampling. 2nd ed. West Conshohocken, PA: ASTM, 1997.

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B, Markert, ed. Environmental sampling for trace analysis. Weinheim: VCH Verlagsgesellschaft, 1994.

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American Society for Testing and Materials. ASTM standards on environmental sampling. Philadelphia, PA: ASTM, 1995.

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Book chapters on the topic "Environmental sampling"

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Shifrin, Neil. "Environmental Sampling." In SpringerBriefs in Environmental Science, 19–24. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06278-5_3.

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Barnard, Thomas E. "Environmental Sampling." In The Handbook of Environmental Chemistry, 1–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-540-49148-4_1.

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Mitra, Somenath, Pradyot Patnaik, and Barbara B. Kebbekus. "Environmental Sampling." In Environmental Chemical Analysis, 37–58. Second edition. | Boca Raton : CRC Press, [2018] | Previous edition by B.B. Kebbekus and S. Mitra.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429458200-2.

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White, Martin, Christian Mohn, and Kostas Kiriakoulakis. "Environmental Sampling." In Biological Sampling in the Deep Sea, 57–79. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118332535.ch4.

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Fampa, Marcia, and Jon Lee. "Environmental monitoring." In Maximum-Entropy Sampling, 145–55. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13078-6_4.

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Zimmerman, Dale L., and Stephen T. Buckland. "Environmental Sampling Design." In Handbook of Environmental and Ecological Statistics, 181–210. Boca Raton : Taylor & Francis, 2018.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315152509-9.

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Rose, Laura J., Judith Noble-Wang, and Matthew J. Arduino. "Surface Sampling." In Manual of Environmental Microbiology, 2.6.2–1–2.6.2–14. Washington, DC, USA: ASM Press, 2015. http://dx.doi.org/10.1128/9781555818821.ch2.6.2.

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Trotta, Lee. "Passive Sampling." In Environmental Instrumentation and Analysis Handbook, 679–86. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471473332.ch30.

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Hopcroft, Francis, and Abigail Charest. "Sampling Source Media." In Experiment Design for Environmental Engineering, 15–22. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003184249-3.

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von Frese, Ralph R. B. "Data Sampling." In Basic Environmental Data Analysis for Scientists and Engineers, 91–98. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429291210-5.

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Conference papers on the topic "Environmental sampling"

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Freije, M. "24. Legionella Environmental Sampling." In AIHce 2001. AIHA, 2001. http://dx.doi.org/10.3320/1.2765775.

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Wyatt, Jeffrey R., John H. Callahan, and Thomas J. Daley. "Sampling of Submarine Atmospheres." In International Conference on Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1995. http://dx.doi.org/10.4271/951656.

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Wong, R. Y., N. S. Ferguson, and C. F. Clark. "Statistical approach to food sampling." In Environmental Health Risk 2001. Southampton, UK: WIT Press, 2001. http://dx.doi.org/10.2495/ehr010221.

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Rahimi, M., R. Pon, W. J. Kaiser, G. S. Sukhatme, D. Estrin, and M. Srivastava. "Adaptive sampling for environmental robotics." In IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004. IEEE, 2004. http://dx.doi.org/10.1109/robot.2004.1308801.

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Hamilton, A. J., V. L. Versace, G. Hepworth, F. Stagnitti, J. Dawson, P. M. Ridland, N. M. Endersby, N. A. Schellhorn, C. Mansfield, and P. M. Rogers. "Attending to risk in sequential sampling plans." In Environmental Health Risk 2005. Southampton, UK: WIT Press, 2005. http://dx.doi.org/10.2495/ehr050021.

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Shimoda, Takanobu, Tsuneo Oikawa, and Akira Miyake. "Sampling and Analysis of Human Metabolites." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1998. http://dx.doi.org/10.4271/981739.

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Filice, Monica, Pierantonio Luca, and Alfonso Nastro. "Intelligent Data Analysis in Environmental Sampling." In 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IEEE, 2005. http://dx.doi.org/10.1109/idaacs.2005.283056.

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Hombal, Vadiraj, Arthur Sanderson, and D. Richard Blidberg. "Multiscale adaptive sampling in environmental robotics." In 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010). IEEE, 2010. http://dx.doi.org/10.1109/mfi.2010.5604463.

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DeGroot, Gregory P., John S. Gulliver, and Omid Mohseni. "Accurate Sampling of Suspended Solids." In World Environmental and Water Resources Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41036(342)81.

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Callahan, John H., Salvatore R. Dinardi, Charles R. Manning, Ray C. Woolrich, David M. Burnside, and David Slavin. "Diffusive Sampling of US Navy Submarine Atmospheres." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2002. http://dx.doi.org/10.4271/2002-01-2297.

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Reports on the topic "Environmental sampling"

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Bisping, L. E. Environmental surveillance master sampling schedule. Office of Scientific and Technical Information (OSTI), February 1994. http://dx.doi.org/10.2172/10146494.

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Bisping, L. E. Environmental surveillance master sampling schedule. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/6468895.

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Bisping, L. E. Environmental surveillance master sampling schedule. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/205050.

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Broz, R. E. Emergency response environmental sampling plan. Office of Scientific and Technical Information (OSTI), October 1994. http://dx.doi.org/10.2172/10189794.

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Bisping, L. E. Environmental surveillance master sampling schedule. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/5896989.

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Bisping, L. E. Environmental surveillance master sampling schedule. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6254784.

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Bisping, L. E. Environmental surveillance master sampling schedule. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/650224.

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Bisping, L. E. Environmental surveillance master sampling schedule. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/10117706.

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Bisping, L. E. Environmental surveillance master sampling schedule. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/10130908.

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Hamilton, T. F. Environmental sampling plan for Kwajalein Atoll Lagoon: 2017 Kwajalein sampling event. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1389967.

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