HANZE: HISTORICALANALYSIS OF NATURAL HAZARDS IN … · 2019-06-06 · HANZE combines data on...
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HANZE: HISTORICALANALYSIS OF NATURAL HAZARDS IN EUROPE Dominik Paprotny, Oswaldo Morales-Nápoles, Bas Jonkman Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering http://brigaid.eu Nomination for Dutch Data Prize 2018: „Exact and technical sciences” category Poster X1.140 | Abstract EGU2018-6990 Contact: [email protected] For more information: • Paprotny D., Morales Nápoles O., Jonkman S.N. (2018) HANZE: a pan-European database of exposure to natural hazards and damaging historical floods since 1870. Earth System Science Data 10, 565–581. • Paprotny D., Sebastian A., Morales Nápoles O., Jonkman S.N. (2018) Trends in flood losses in Europe over the past 150 years. Nature Communications 9, 1985. Available from 4TU Centre for Research Data: https://data.4tu.nl/repository/collection:HANZE This work was supported by Horizon 2020 project „Bridging the Gap for Innovations in Disaster Resilience” Total events 1870-2016 Workflow Total number of floods by NUTS3 region, 1870-2016 Aggregated flood loss trends, 1870-2016 Exposure growth 1870-2020 Wealth (fixed assets) HANZE combines data on exposure (inventory of people and assets who could be affected by a natural hazard) with data on actual losses (currently only from floods). This allows to „normalize” flood losses by taking into account local-scale demographic, economic and land-use change. Here, such an analysis is done first time in such spatial and temporal extent. Category Reported losses (1953) Exposure (1953) Exposure (2011) Exposure growth (%) Normalized losses (2011) Area flooded (km 2 ) 2000 3917 3917 - 2000 Persons killed 1835 1,245,000 1,988,000 60% 2930 Persons affected 188,000 1,245,000 1,988,000 60% 300,100 Losses in euro (2011 prices) 4.8 bln 13.6 bln* 46.5 bln 75.8 bln* 341.8 bln 457%* 651% 26.9 bln* 35.5 bln * upper figure – GDP, lower figure – wealth. Example calculation of normalized losses – 1953 North Sea flood
Transcript of HANZE: HISTORICALANALYSIS OF NATURAL HAZARDS IN … · 2019-06-06 · HANZE combines data on...
HANZE: HISTORICAL ANALYSIS OF NATURAL HAZARDS IN EUROPEDominik Paprotny, Oswaldo Morales-Nápoles, Bas Jonkman
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering
http://brigaid.eu
Nomination for Dutch Data Prize 2018: „Exact and technical sciences” category
Poster X1.140 | Abstract EGU2018-6990
Contact:
For more information:• Paprotny D., Morales Nápoles O., Jonkman S.N. (2018) HANZE: a pan-European database of exposure to natural hazards and damaging historical floods since 1870.
Earth System Science Data 10, 565–581.• Paprotny D., Sebastian A., Morales Nápoles O., Jonkman S.N. (2018) Trends in flood losses in Europe over the past 150 years. Nature Communications 9, 1985.
Available from 4TU Centre for Research Data: https://data.4tu.nl/repository/collection:HANZE
This work was supported by Horizon 2020 project„Bridging the Gap for Innovations in Disaster Resilience”
Total events 1870-2016
Workflow Total number of floods by NUTS3 region, 1870-2016
Aggregated flood loss trends, 1870-2016
Exposure growth 1870-2020Wealth (fixed assets)
HANZE combines data on exposure (inventory of people and assets who could be affected by a natural hazard) with data on actual losses (currently only from floods). This allows to „normalize” flood losses by taking into account local-scaledemographic, economic and land-use change. Here, such an analysis is done first time in such spatial and temporal extent.
Category
Reported
losses
(1953)
Exposure
(1953)
Exposure
(2011)
Exposure
growth (%)
Normalized
losses
(2011)
Area flooded (km2) 2000 3917 3917 - 2000
Persons killed 1835 1,245,000 1,988,000 60% 2930
Persons affected 188,000 1,245,000 1,988,000 60% 300,100
Losses in euro
(2011 prices)4.8 bln
13.6 bln*
46.5 bln
75.8 bln*
341.8 bln
457%*
651%
26.9 bln*
35.5 bln
* upper figure – GDP, lower figure – wealth.
Example calculation of normalized losses – 1953 North Sea flood
