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Kinoshita_2018_Environ._Res._Lett._13_014006.pdf 1,64MB
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1000 Titel
  • Quantifying the effect of autonomous adaptation to global river flood projections: application to future flood risk assessments
1000 Autor/in
  1. Kinoshita, Youhei |
  2. Tanoue, Masahiro |
  3. Watanabe, Satoshi |
  4. Hirabayashi, Yukiko |
1000 Erscheinungsjahr 2018
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-01-03
1000 Erschienen in
1000 Quellenangabe
  • 13(1):014006
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1088/1748-9326/aa9401 |
1000 Ergänzendes Material
  • https://iopscience.iop.org/1748-9326/13/1/014006/media/ERL_13_1_014006_suppdata.pdf |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • This study represents the first attempt to quantify the effects of autonomous adaptation on the projection of global flood hazards and to assess future flood risk by including this effect. A vulnerability scenario, which varies according to the autonomous adaptation effect for conventional disaster mitigation efforts, was developed based on historical vulnerability values derived from flood damage records and a river inundation simulation. Coupled with general circulation model outputs and future socioeconomic scenarios, potential future flood fatalities and economic loss were estimated. By including the effect of autonomous adaptation, our multimodel ensemble estimates projected a 2.0% decrease in potential flood fatalities and an 821% increase in potential economic losses by 2100 under the highest emission scenario together with a large population increase. Vulnerability changes reduced potential flood consequences by 64%–72% in terms of potential fatalities and 28%–42% in terms of potential economic losses by 2100. Although socioeconomic changes made the greatest contribution to the potential increased consequences of future floods, about a half of the increase of potential economic losses was mitigated by autonomous adaptation. There is a clear and positive relationship between the global temperature increase from the pre-industrial level and the estimated mean potential flood economic loss, while there is a negative relationship with potential fatalities due to the autonomous adaptation effect. A bootstrapping analysis suggests a significant increase in potential flood fatalities (+5.7%) without any adaptation if the temperature increases by 1.5 °C–2.0 °C, whereas the increase in potential economic loss (+0.9%) was not significant. Our method enables the effects of autonomous adaptation and additional adaptation efforts on climate-induced hazards to be distinguished, which would be essential for the accurate estimation of the cost of adaptation to climate change.
1000 Sacherschließung
lokal climate change
lokal flood
lokal autonomous adaptation
lokal impact assessment
lokal vulnerability
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-5085-6566|https://frl.publisso.de/adhoc/uri/VGFub3VlLCBNYXNhaGlybw==|https://frl.publisso.de/adhoc/uri/V2F0YW5hYmUsIFNhdG9zaGk=|https://frl.publisso.de/adhoc/uri/SGlyYWJheWFzaGksIFl1a2lrbw==
1000 Label
1000 Förderer
  1. Ministry of the Environment |
  2. Ministry of Education, Culture, Sports, Science and Technology |
  3. Japan Society for the Promotion of Science |
1000 Fördernummer
  1. -
  2. -
  3. 16H06291
1000 Förderprogramm
  1. Funding Program for the Global Environmental Research Fund
  2. Integrated Research Program for Advancing Climate Models
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Ministry of the Environment |
    1000 Förderprogramm Funding Program for the Global Environmental Research Fund
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Ministry of Education, Culture, Sports, Science and Technology |
    1000 Förderprogramm Integrated Research Program for Advancing Climate Models
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Japan Society for the Promotion of Science |
    1000 Förderprogramm -
    1000 Fördernummer 16H06291
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6417852.rdf
1000 Erstellt am 2019-12-04T14:32:53.895+0100
1000 Erstellt von 218
1000 beschreibt frl:6417852
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2020-01-30T22:41:35.594+0100
1000 Objekt bearb. Wed Dec 04 14:42:02 CET 2019
1000 Vgl. frl:6417852
1000 Oai Id
  1. oai:frl.publisso.de:frl:6417852 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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