IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v192y2012i1p87-10410.1007-s10479-010-0805-z.html
   My bibliography  Save this article

Detection and localization of hidden radioactive sources with spatial statistical method

Author

Listed:
  • Hong Wan
  • Tonglin Zhang
  • Yu Zhu

Abstract

The detection of radioactive materials has become a critical issue for environmental services, public health, and national security. This paper proposes a spatial statistical method to detect and localize a hidden radioactive source. Based on a detection system of multiple radiation detectors, the statistical model assumes that the counts of radiation particles received by those detectors are spatially distributed of Poisson distribution, and each comprises a signal and a background. By considering the physical law of signal degradation with distance, the paper provides a numerical method to compute the maximum likelihood estimates of the strength and location of the source. Based on these estimates, a likelihood ratio statistic is used to test the existence of the source. Because of the special properties of the model, the test statistic does not converge asymptotically to the standard chi-square distribution. Thus a bootstrap method is proposed to compute the p-value in the test. The simulation results show that the proposed method is efficient for detecting and localizing the hidden radioactive source. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Hong Wan & Tonglin Zhang & Yu Zhu, 2012. "Detection and localization of hidden radioactive sources with spatial statistical method," Annals of Operations Research, Springer, vol. 192(1), pages 87-104, January.
    • Handle: RePEc:spr:annopr:v:192:y:2012:i:1:p:87-104:10.1007/s10479-010-0805-z
    DOI: 10.1007/s10479-010-0805-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-010-0805-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10479-010-0805-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gawande, Kishore & Jenkins-Smith, Hank, 2001. "Nuclear Waste Transport and Residential Property Values: Estimating the Effects of Perceived Risks," Journal of Environmental Economics and Management, Elsevier, vol. 42(2), pages 207-233, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abinash Bhattachan & Matthew D. Jurjonas & Priscilla R. Morris & Paul J. Taillie & Lindsey S. Smart & Ryan E. Emanuel & Erin L. Seekamp, 2019. "Linking residential saltwater intrusion risk perceptions to physical exposure of climate change impacts in rural coastal communities of North Carolina," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1277-1295, July.
    2. Celia Bilbao-Terol, 2009. "Impacts of an Iron and Steel Plant on Residential Property Values," European Planning Studies, Taylor & Francis Journals, vol. 17(9), pages 1421-1436, September.
    3. Riddel, Mary C. & Shaw, W. Douglass, 2006. "A Theoretically-Consistent Empirical Non-Expected Utility Model of Ambiguity: Nuclear Waste Mortality Risk and Yucca Mountain," Pre-Prints 23964, Texas A&M University, Department of Agricultural Economics.
    4. Céline Grislain-Letrémy & Bertrand Villeneuve, 2011. "Natural and Industrial Disasters : Land Use and Insurance," Working Papers 2011-32, Center for Research in Economics and Statistics.
    5. Boes, Stefan & Nüesch, Stephan & Wüthrich, Kaspar, 2015. "Hedonic valuation of the perceived risks of nuclear power plants," Economics Letters, Elsevier, vol. 133(C), pages 109-111.
    6. Tanner, Sophia & Garnache, Cloe, 2017. "The Cost of Wildfires in Heavily Urbanized Areas: A Hedonic Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259167, Agricultural and Applied Economics Association.
    7. Chuanwang Sun & Nan Lyu & Xiaoling Ouyang, 2014. "Chinese Public Willingness to Pay to Avoid Having Nuclear Power Plants in the Neighborhood," Sustainability, MDPI, vol. 6(10), pages 1-27, October.
    8. Hank C. Jenkins‐Smith & Carol L. Silva & Matthew C. Nowlin & Grant deLozier, 2011. "Reversing Nuclear Opposition: Evolving Public Acceptance of a Permanent Nuclear Waste Disposal Facility," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 629-644, April.
    9. Grislain-Letrémy, Céline & Villeneuve, Bertrand, 2020. "The ground for negotiation: Zoning for risk reduction around hazardous plants," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 657-677.
    10. Welsch, Heinz, 2016. "Electricity Externalities, Siting, and the Energy Mix: A Survey," International Review of Environmental and Resource Economics, now publishers, vol. 10(1), pages 57-94, November.
    11. Julie Mueller & John Loomis & Armando González-Cabán, 2009. "Do Repeated Wildfires Change Homebuyers’ Demand for Homes in High-Risk Areas? A Hedonic Analysis of the Short and Long-Term Effects of Repeated Wildfires on House Prices in Southern California," The Journal of Real Estate Finance and Economics, Springer, vol. 38(2), pages 155-172, February.
    12. Hunt, Len M. & Boxall, Peter & Englin, Jeffrey & Haider, Wolfgang, 2005. "Remote tourism and forest management: a spatial hedonic analysis," Ecological Economics, Elsevier, vol. 53(1), pages 101-113, April.
    13. Brasington, David M. & Hite, Diane, 2005. "Demand for environmental quality: a spatial hedonic analysis," Regional Science and Urban Economics, Elsevier, vol. 35(1), pages 57-82, January.
    14. Yves Schneider & Peter Zweifel, 2013. "Spatial Effects in Willingness to Pay for Avoiding Nuclear Risks," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(III), pages 357-379, September.
    15. Takafumi Kato, 2013. "Usefulness of the Information Contained in the Prediction Sample for the Spatial Error Model," The Journal of Real Estate Finance and Economics, Springer, vol. 47(1), pages 169-195, July.
    16. Shibashis Mukherjee & Arthur Caplan, 2011. "GIS-based estimation of housing amenities: the case of high grounds and stagnant streams," Letters in Spatial and Resource Sciences, Springer, vol. 4(1), pages 49-61, March.
    17. Ida Ferrara & Stephen McComb & Paul Missios, 2007. "Local Willingness-to-Pay Estimates for the Remediation of the Sydney Tar Ponds in Nova Scotia," Canadian Public Policy, University of Toronto Press, vol. 33(4), pages 441-458, December.
    18. Chuanwang Sun & Xiaochun Meng & Shuijun Peng, 2017. "Effects of Waste-to-Energy Plants on China’s Urbanization: Evidence from a Hedonic Price Analysis in Shenzhen," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
    19. Welsch, Heinz & Biermann, Philipp, 2016. "Measuring nuclear power plant externalities using life satisfaction data: A spatial analysis for Switzerland," Ecological Economics, Elsevier, vol. 126(C), pages 98-111.
    20. Craig Trumbo & Michelle Lueck & Holly Marlatt & Lori Peek, 2011. "The Effect of Proximity to Hurricanes Katrina and Rita on Subsequent Hurricane Outlook and Optimistic Bias," Risk Analysis, John Wiley & Sons, vol. 31(12), pages 1907-1918, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:192:y:2012:i:1:p:87-104:10.1007/s10479-010-0805-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.