Development of the Global Exposure Database (GED) Kishor Jaiswal, Synergetics Inc./USGS Golden CO with contributions from: P. Gamba, University of Pavia, Italy, C. Huyck and Z. Hu, ImageCat Inc. S. Vinay, R. Chen, and M. Becker, CIESIN O. Odhiambo, G. Mboup UN-Habitat, Nairobi Kenya S. Ferri, E. Goldoni, D. Ehrlich JRC Italy P. Henshaw, GEM Foundation D. Wald, USGS Golden CO 10NCEE, Anchorage Alaska July 23 rd , 2014 @GEMwrld #10NCEE
The aim of GED4GEM is to build a comprehensive, multi-scale and statistically accurate database of population and buildings, to asses the physical and economic exposure of a given area to earthquakes.
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Development of the Global Exposure Database (GED)
Kishor Jaiswal, Synergetics Inc./USGS Golden COwith contributions from: P. Gamba, University of Pavia, Italy, C. Huyck and Z. Hu, ImageCat Inc.S. Vinay, R. Chen, and M. Becker, CIESINO. Odhiambo, G. Mboup UN-Habitat, Nairobi KenyaS. Ferri, E. Goldoni, D. Ehrlich JRC ItalyP. Henshaw, GEM FoundationD. Wald, USGS Golden CO
10NCEE, Anchorage Alaska
July 23rd, 2014
@GEMwrld #10NCEE
Objectives
• The aim of GED4GEM is to build a comprehensive, multi-scale andstatistically accurate database of population and buildings, to asses thephysical and economic exposure of a given area to earthquakes.
• The database had therefore to be:– state-of-the-art, i.e. including all existing (and freely available) data sets;– global, i.e. valid all for each country;– consistent, i.e. capable in providing statistical and spatial consistency (in
a region or a country);– easily upgradable through ad-hoc scripts.
• Including more information than just the building structural data, the GlobalExposure Database (or GED for short) could eventually be useful inmulti-hazard applications, e.g., earthquakes, floods, landslides,hurricanes and other disasters.
Consortium
Partners• University of Pavia (UNIPV)• The Center for International Earth Science Information Network (CIESIN)• Global Urban Observatory (GUO) of UN-HABITAT• ImageCat Inc.• The Joint Research Centre of the European Union (JRC)
Advisory Partners• US Geological Survey (USGS)• EUCENTRE• Geoscience Australia (GA)
• The Demographics and Health Survey (DHS) sample is designed torepresent each of the country’s administrative regions. In each region, astratified sample design was employed. Primary sampling units (PSUs) areselected with probability proportional to the estimated number of householdsfrom the Census.
Level 1: for the first time sub-national information
struct_code struct_ratio
W+WLI//R99 0.026
CR+CT99//RC+RC99 0.001
MUR+STRUB+MOM//R99 0.370
MUR+CL99//R99 0.043
MUR+CL99//RO 0.558
MUR+ADO//R99 0.002
struct_code struct_ratio
W+WLI//R99 0.020
CR+CT99//RC+RC99 0.00
MUR+STRUB+MOM//R99 0.375
MUR+CL99//R99 0.040
MUR+CL99//RO 0.558
Level 1: less coverage
• Check for region matching included (issues with GADM versus the population model versus national databases)
• It is proposed that the global range of GDPpc is subdivided into five bins and an index country (together with a full range of factors) is provided for each bin.
• Then, a factor for replacement rate is computed.
Current Replacement Cost Coverage
• A few countries with detailed information by expert opinion• Rest of the world (almost) with “default” values
A few examples of data in GED
A few question we can answer with GED 1.0
Level 0 (national) questions• Estimate of the total residential exposure of Russia
– X billions USD (computed using level 0 dwelling fractions from PAGER, average floor per capita, default replacement cost)
Level 1 (subnational) questions• Estimate of total wooden buildings that are present in the Saravan region of
Laos– Y (computed using level 1 dwelling fractions from 2006 MICS survey, the
average number of people per dwelling, default numbers for the numbers of dwelling per building)
Level 2 (local) questions• Estimate of total masonry buildings in a radius of 3 km around the center of
Brisbane – Lat. 153.03, Lon. -27.44, – or how much would cost to rebuild 60% of them?– Z and XX billion AUS (computed using level 2 data from NEXIS)
GEM Data and Models on the Platform
Thank you !
Except where otherwise noted, this work is licensed under: creativecommons.org/licenses/by-nc-nd/4.0/
Please attribute to the GEM Foundation with a link to -www.globalearthquakemodel.org