A multiscale Bayesian data integration approach for mapping air dose rates around the Fukushima Daiichi Nuclear Power Plant
Abstract
This paper presents a multiscale data integration method to estimate the spatial distribution of air dose rates in the regional scale around the Fukushima Daiichi Nuclear Power Plant. We integrate various types of datasets, such as ground-based walk and car surveys, and airborne surveys, all of which have different scales, resolutions, spatial coverage, and accuracy. This method is based on geostatistics to represent spatial heterogeneous structures, and also on Bayesian hierarchical models to integrate multiscale, multi-type datasets in a consistent manner. The Bayesian method allows us to quantify the uncertainty in the estimates, and to provide the confidence intervals that are critical for robust decision-making. Although this approach is primarily data-driven, it has great flexibility to include mechanistic models for representing radiation transport or other complex correlations. Here, we demonstrate our approach using three types of datasets collected at the same time over Fukushima City in Japan: (1) coarse-resolution airborne surveys covering the entire area, (2) car surveys along major roads, and (3) walk surveys in multiple neighborhoods. Results show that the method can successfully integrate three types of datasets and create an integrated map (including the confidence intervals) of air dose rates over the domain in high resolution. Moreover,more »
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division
- Japan Atomic Energy Agency (JAEA), Kashiwa, Chiba (Japan)
- Japan Atomic Energy Agency (JAEA), Tokyo (Japan)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1532227
- Alternate Identifier(s):
- OSTI ID: 1397783
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Environmental Radioactivity
- Additional Journal Information:
- Journal Volume: 167; Journal Issue: C; Journal ID: ISSN 0265-931X
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
Citation Formats
Wainwright, Haruko M., Seki, Akiyuki, Chen, Jinsong, and Saito, Kimiaki. A multiscale Bayesian data integration approach for mapping air dose rates around the Fukushima Daiichi Nuclear Power Plant. United States: N. p., 2016.
Web. doi:10.1016/j.jenvrad.2016.11.033.
Wainwright, Haruko M., Seki, Akiyuki, Chen, Jinsong, & Saito, Kimiaki. A multiscale Bayesian data integration approach for mapping air dose rates around the Fukushima Daiichi Nuclear Power Plant. United States. https://doi.org/10.1016/j.jenvrad.2016.11.033
Wainwright, Haruko M., Seki, Akiyuki, Chen, Jinsong, and Saito, Kimiaki. Thu .
"A multiscale Bayesian data integration approach for mapping air dose rates around the Fukushima Daiichi Nuclear Power Plant". United States. https://doi.org/10.1016/j.jenvrad.2016.11.033. https://www.osti.gov/servlets/purl/1532227.
@article{osti_1532227,
title = {A multiscale Bayesian data integration approach for mapping air dose rates around the Fukushima Daiichi Nuclear Power Plant},
author = {Wainwright, Haruko M. and Seki, Akiyuki and Chen, Jinsong and Saito, Kimiaki},
abstractNote = {This paper presents a multiscale data integration method to estimate the spatial distribution of air dose rates in the regional scale around the Fukushima Daiichi Nuclear Power Plant. We integrate various types of datasets, such as ground-based walk and car surveys, and airborne surveys, all of which have different scales, resolutions, spatial coverage, and accuracy. This method is based on geostatistics to represent spatial heterogeneous structures, and also on Bayesian hierarchical models to integrate multiscale, multi-type datasets in a consistent manner. The Bayesian method allows us to quantify the uncertainty in the estimates, and to provide the confidence intervals that are critical for robust decision-making. Although this approach is primarily data-driven, it has great flexibility to include mechanistic models for representing radiation transport or other complex correlations. Here, we demonstrate our approach using three types of datasets collected at the same time over Fukushima City in Japan: (1) coarse-resolution airborne surveys covering the entire area, (2) car surveys along major roads, and (3) walk surveys in multiple neighborhoods. Results show that the method can successfully integrate three types of datasets and create an integrated map (including the confidence intervals) of air dose rates over the domain in high resolution. Moreover, this study provides us with various insights into the characteristics of each dataset, as well as radiocaesium distribution. In particular, the urban areas show high heterogeneity in the contaminant distribution due to human activities as well as large discrepancy among different surveys due to such heterogeneity.},
doi = {10.1016/j.jenvrad.2016.11.033},
journal = {Journal of Environmental Radioactivity},
number = C,
volume = 167,
place = {United States},
year = {Thu Dec 08 00:00:00 EST 2016},
month = {Thu Dec 08 00:00:00 EST 2016}
}
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Works referenced in this record:
The air dose rate around the Fukushima Dai-ichi Nuclear Power Plant: its spatial characteristics and temporal changes until December 2012
journal, January 2015
- Mikami, Satoshi; Maeyama, Takeshi; Hoshide, Yoshifumi
- Journal of Environmental Radioactivity, Vol. 139
Accident at the Fukushima Dai-ichi Nuclear Power Stations of TEPCO ^|^mdash;Outline ^|^amp; lessons learned^|^mdash;
journal, January 2012
- Tanaka, Shun-ichi
- Proceedings of the Japan Academy, Series B, Vol. 88, Issue 9
Fields of View for Environmental Radioactivity
preprint, January 2015
- Malins, Alex; Okumura, Masahiko; Machida, Masahiko
- arXiv
Weathering of radiocaesium contamination on urban streets, walls and roofs
journal, January 2002
- Andersson, K. G.; Roed, J.; Fogh, C. L.
- Journal of Environmental Radioactivity, Vol. 62, Issue 1
Measurement of air dose rates over a wide area around the Fukushima Dai-ichi Nuclear Power Plant through a series of car-borne surveys
journal, January 2015
- Andoh, Masaki; Nakahara, Yukio; Tsuda, Shuichi
- Journal of Environmental Radioactivity, Vol. 139
Estimating the hydraulic conductivity at the south oyster site from geophysical tomographic data using Bayesian Techniques based on the normal linear regression model
journal, June 2001
- Chen, Jinsong; Hubbard, Susan; Rubin, Yoram
- Water Resources Research, Vol. 37, Issue 6
Development of a joint hydrogeophysical inversion approach and application to a contaminated fractured aquifer: ESTIMATING HYDROGEOLOGICAL ZONATION
journal, June 2006
- Chen, J.; Hubbard, S.; Peterson, J.
- Water Resources Research, Vol. 42, Issue 6
Model-based geostatistics
journal, March 1998
- Diggle, P. J.; Tawn, J. A.; Moyeed, R. A.
- Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 47, Issue 3
Development of prediction models for radioactive caesium distribution within the 80-km radius of the Fukushima Daiichi nuclear power plant
journal, February 2014
- Kinase, S.; Takahashi, T.; Sato, S.
- Radiation Protection Dosimetry, Vol. 160, Issue 4
Evaluation of ambient dose equivalent rates influenced by vertical and horizontal distribution of radioactive cesium in soil in Fukushima Prefecture
journal, January 2016
- Malins, Alex; Kurikami, Hiroshi; Nakama, Shigeo
- Journal of Environmental Radioactivity, Vol. 151
The air dose rate around the Fukushima Dai-ichi Nuclear Power Plant: its spatial characteristics and temporal changes until December 2012
journal, January 2015
- Mikami, Satoshi; Maeyama, Takeshi; Hoshide, Yoshifumi
- Journal of Environmental Radioactivity, Vol. 139
Outline of the national mapping projects implemented after the Fukushima accident
journal, January 2015
- Saito, Kimiaki; Onda, Yuichi
- Journal of Environmental Radioactivity, Vol. 139
Detailed deposition density maps constructed by large-scale soil sampling for gamma-ray emitting radioactive nuclides from the Fukushima Dai-ichi Nuclear Power Plant accident
journal, January 2015
- Saito, Kimiaki; Tanihata, Isao; Fujiwara, Mamoru
- Journal of Environmental Radioactivity, Vol. 139
Reactive facies: An approach for parameterizing field-scale reactive transport models using geophysical methods: GEOPHYSICS FOR DISTRIBUTING REACTIVE FACIES
journal, October 2012
- Sassen, Douglas S.; Hubbard, Susan S.; Bea, Sergio A.
- Water Resources Research, Vol. 48, Issue 10
Accident at the Fukushima Dai-ichi Nuclear Power Stations of TEPCO ^|^mdash;Outline ^|^amp; lessons learned^|^mdash;
journal, January 2012
- Tanaka, Shun-ichi
- Proceedings of the Japan Academy, Series B, Vol. 88, Issue 9
Development of KURAMA-II and its operation in Fukushima
journal, May 2015
- Tanigaki, M.; Okumura, R.; Takamiya, K.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 781
Characteristics and verification of a car-borne survey system for dose rates in air: KURAMA-II
journal, January 2015
- Tsuda, S.; Yoshida, T.; Tsutsumi, M.
- Journal of Environmental Radioactivity, Vol. 139
Bayesian hierarchical approach and geophysical data sets for estimation of reactive facies over plume scales
journal, June 2014
- Wainwright, Haruko M.; Chen, Jinsong; Sassen, Douglas S.
- Water Resources Research, Vol. 50, Issue 6
Hierarchical Bayesian method for mapping biogeochemical hot spots using induced polarization imaging
journal, January 2016
- Wainwright, Haruko M.; Flores Orozco, Adrian; Bücker, Matthias
- Water Resources Research, Vol. 52, Issue 1
Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds
journal, June 2001
- Wikle, Christopher K.; Milliff, Ralph F.; Nychka, Doug
- Journal of the American Statistical Association, Vol. 96, Issue 454
Characterizing Attribute Distributions in Water Sediments by Geostatistical Downscaling
journal, November 2009
- Zhou, Yuntao; Michalak, Anna M.
- Environmental Science & Technology, Vol. 43, Issue 24