Data Mobilization by Digital Archiving of the Great East Japan Earthquake Survey

Abstract

The Great East Japan Earthquake, which took place in East Japan area on the 11 March 2011, had a broad impact on land and infrastructure as well as human life. City Bureau, MLIT, Japan has made a survey of the tsunami damage for the local government systematically and comprehensively. This study develops data archiving of this survey result using various open source GIS, in order to keep raw data including GIS data available, as well as report document. This data archive has about 1,000 registered users and 114,000 files that totally amounts to 200GByte, such as tsunami flood area data, building damage status data including photo, evacuation movement data, etc. Finally, We analyze data usage based on their submitted application objectives for their enhanced usage in the future.

Beyond tsunami fragility functions: experimental assessment for building damage estimation

“…Setup. We conduct experiments on a subset of the 2011 Tohoku Earthquake and Tsunami MLIT dataset 34 , specifically the Ishinomaki dataset (dataset 305 in the convention adopted by MLIT), but we prepare the Sendai plains dataset (320) and the Rikuzentakata dataset (212) the same way; the latter two datasets are used to train the machine learning model (Fig. 1).…”

“…It is these studies that initially warn against the general application of TFF models suggesting domain dependence 8,21,27 . The literature covers both historical and contemporary events, from the inception of TFFs between 2005 2 and 2009 1 , some prominent examples are: the 1993 Okushiri Earthquake 11 , the 2004 Indian Ocean earthquake and tsunami 1,2,12,31 , the 2009 Samoa earthquake and tsunami 10,13 , the 2010 Chile earthquake 8 , the 2011 Great East Japan earthquake (GEJE) 3,9,[14][15][16][17][18][19][20][21][22][23][24]26,27,29,32,33 which features extremely detailed survey and supporting data [34][35][36] , and the 2018 Sulawesi earthquake and tsunami 30,31,37 . Due to the lack of classifiable damage data, analytic studies usually define building damage as a function of generalized structural properties (i.e., stress and strain) 25,38 , design standards, and precedent (such as a the impact of a previous disaster).…”

“…All our tests are performed on a subset of the well-studied 2011 Great East Japan Earthquake tsunami damage dataset (Fig. 1) 34,35 to promote clarity in our experimental results.…”

Urban structure reinforces attitudes towards tsunami evacuation

“…These data were obtained from the Fundamental Geospatial Data (FGD), provided by Geospatial Information Authority of Japan (GSI) 52 . The FGD before the 2011 event is not available for Kamaishi city; thus, we synthesised the data using the 2012 FGD 52 and damage survey data for the 2011 tsunami 53 . Some buildings which had been washed away and thus were not in the 2012 FGD, were filled using the damage survey data of 2011.…”

“…The geospatial information used to build the urban structure was obtained from the Fundamental Geospatial Data 52 provided by Geospatial Information Authority of Japan, which is publicly available ( https://www.gsi.go.jp/kiban/ ). The damaged building data and the surveyed inundation extent used in model building and visualisation were obtained from Digital Archiving of the Great East Japan Earthquake Survey 53 and are publicly available ( http://fukkou.csis.u-tokyo.ac.jp/ ). The digital elevation model used for visualisation is publicly available from the Fundamental Geospatial Data 52 ( https://www.gsi.go.jp/kiban/ ), which is provided by Geospatial Information Authority of Japan.…”