TY - GEN
T1 - Comparison of spatial interpolation methods based on exposure assessments of air pollutants
T2 - 12th International Conference on Health Informatics, HEALTHINF 2019 - Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
AU - Otani, Takahiro
AU - Takahashi, Kunihiko
AU - Takeuchi, Ayano
AU - Asami, Mari
N1 - Funding Information:
This work was supported by the Environment Research and Technology Development Fund (S-17) of the Ministry of the Environment, Japan.
Publisher Copyright:
© 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2019
Y1 - 2019
N2 - In response to accidents and disasters involving the proliferation of pollutants to the environment, performing exposure assessments across a region of impact is important for evaluating health effects. Owing to the typical unavailability of the spatially continuous data of pollutant concentrations immediately after accidents, various spatial interpolation methods have been studied to assess exposures using limited available data. In this study, we compared representative spatial interpolation methods based on the estimation of the distributions of exposures through a case study of the Fukushima Daiichi nuclear disaster initiated by the Great East Japan earthquake and subsequent tsunamis. The nearest neighbour method, inverse distance weighted method, and ordinary kriging method were compared in the context of exposure assessments. Even though estimated air dose rates were slightly different depending on the method used, different interpolation methods produced significantly equivalent estimates of the distribution of cumulative exposure over one year.
AB - In response to accidents and disasters involving the proliferation of pollutants to the environment, performing exposure assessments across a region of impact is important for evaluating health effects. Owing to the typical unavailability of the spatially continuous data of pollutant concentrations immediately after accidents, various spatial interpolation methods have been studied to assess exposures using limited available data. In this study, we compared representative spatial interpolation methods based on the estimation of the distributions of exposures through a case study of the Fukushima Daiichi nuclear disaster initiated by the Great East Japan earthquake and subsequent tsunamis. The nearest neighbour method, inverse distance weighted method, and ordinary kriging method were compared in the context of exposure assessments. Even though estimated air dose rates were slightly different depending on the method used, different interpolation methods produced significantly equivalent estimates of the distribution of cumulative exposure over one year.
KW - Air Pollutants
KW - Exposure Assessment
KW - Nuclear Substance
KW - Spatial Interpolation
UR - http://www.scopus.com/inward/record.url?scp=85064645213&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064645213&partnerID=8YFLogxK
U2 - 10.5220/0007523604150421
DO - 10.5220/0007523604150421
M3 - Conference contribution
AN - SCOPUS:85064645213
T3 - HEALTHINF 2019 - 12th International Conference on Health Informatics, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
SP - 415
EP - 421
BT - HEALTHINF 2019 - 12th International Conference on Health Informatics, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019
A2 - Moucek, Roman
A2 - Fred, Ana
A2 - Gamboa, Hugo
PB - SciTePress
Y2 - 22 February 2019 through 24 February 2019
ER -