FY2012 demonstration experiments: Boring data (Overview)

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〇 Boring data owned by the government - KuniJiban(MLIT)〇 Prefectural, city and town boring data - Paper and image data -> Digitization of common format

Database Applications

Common identifiers (Codes, etc.)

Information Circulation and Sharing Platform Common API

- Disaster Prediction Simulation Applications

- Drilling data　 Open systems- Hazard maps　 Open systems, etc.

Applications of Boring data

Education / Tourism

National/local governments

- Boring data field standard　 Development of data standards- Building of Information Circulation and Sharing Platform 　 common API

Boring data

Handle the metadata of the following data by benchmark data standard(1) Original data - Drilling data - Soil test results table data (2) Processed data in this

demonstration - Regional ground constant data

* - Vertical one-dimensional ground pillar model

- Earthquake simulation results - Ground risk data extraction

results

* Data such as geological structures and physical

characteristics by stratum, characteristics for

seismic waves.

Other data to utilize○ Landslide disaster caution zones (Prefectures)○ Micro topographies *1 (Geospatial

Information Authority of Japan)/ Geological maps (AIST)○ 5m ･ 10m DEM tints maps *2 (Geospatial Information Authority of

Japan)○ Release basement waveforms *3

(Prefectures)○ Landmark data(Prefectures, Cities,

Towns) (Hazard maps and evacuation

centers, etc.)

*1 Refer to very small terrains that are hard to discern in topographic maps.

*2 Refer to maps that depict elevation (height) by grid in colors.

*3 Refer to seismic waveforms in seismic basement (basement that is taken into account for seismic movement prediction)

Households

○If the wealth of drilling data (boring data) held by the national and local public bodies are electronically collected and managed, and they can be easily combined with data in other areas, it can be expected that creation of new services and information values such as more sophisticated hazard maps that contribute to disaster prevention and disaster mitigation.

○For this reason, a data standard was built in the boring data area and a demonstration was performed relating to the distribution and coordination of boring data using the boring data held by the national and local public bodies.

Implementing Body: Nippon Koei Co., Ltd.Cooperation bodies: National (Ministry of Land,

Infrastructure and Transport), local public bodies (Kochi Prefecture, Kochi City, Konan City, Nangoku City, Tosa City, Susaki City, Nakatosa Town, Kuroshio Town), other

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FY2012 demonstration experiments: Boring data (Applications)

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Slope failure risk

Surface maximum acceleration

Liquefaction hazard prediction

125m grid elevation model

Vertical one-dimensional ground pillar model

A: Collect drilling data, etc.

B: Build a model using tools.

C: Predict disasters from each model through the

application.

3-dimensional ground surface model

B

B C

C

CB

Drilling data

A

Soil test results table data

XMLPDF

XMLPDF

Drilling location map service

Usage through common API

Shows a list of national, prefectural

and municipal drilling data

National, prefectural and municipal drilling data

[Achievements and Issues]○ Based on the common API specification, succeeded in building and implementing APIs and data standards (vocabulary, etc.) in the boring data area, and verified their

effectiveness.○ Kochi Prefecture, seven local cities and town in the prefecture, and the local industries and academia plan to cooperate for continuously managing the results of the

demonstration..○ In order to contribute to disaster prevention and disaster mitigation, it is necessary to continue encouraging the release of boring data to the boring data holders such

as local public bodies nationwide.