@article{KocNathoThieken2021,
  author    = {Ko{\c{c}}, Gamze and Natho, Stephanie and Thieken, Annegret},
  title     = {Estimating direct economic impacts of severe flood events in Turkey (2015-2020)},
  series = {International journal of disaster risk reduction : IJDRR},
  volume    = {58},
  journal   = {International journal of disaster risk reduction : IJDRR},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2212-4209},
  doi       = {10.1016/j.ijdrr.2021.102222},
  pages     = {16},
  year      = {2021},
  abstract  = {Over the past decades, floods have caused significant financial losses in Turkey, amounting to US\$ 800 million between 1960 and 2014. With the Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR), it is aimed to reduce the direct economic loss from disasters in relation to the global gross domestic product (GDP) by 2030. Accordingly, a methodology based on experiences from developing countries was proposed by the United Nations Office for Disaster Risk Reduction (UNDRR) to estimate direct economic losses on the macro-scale. Since Turkey also signed the SFDRR, we aimed to adapt, validate and apply the loss estimation model proposed by the UNDRR in Turkey for the first time. To do so, the well-documented flood event in Mersin of 2016 was used to calibrate the damage ratios for the agricultural, commercial and residential sectors, as well as educational facilities. Case studies between 2015 and 2020 with documented losses were further used to validate the model. Finally, model applications provided initial loss estimates for floods occurred recently in Turkey. Despite the limited event documentation for each sector, the calibrated model yielded good results when compared to documented losses. Thus, by implementing the UNDRR method, this study provides an approach to estimate the direct economic losses in Turkey on the macro-scale, which can be used to fill gaps in event databases, support the coordination of financial aid after flood events and facilitate monitoring of the progress toward and achievement of Global Target C of the Sendai Framework for Disaster Risk Reduction 2015-2030.},
  language  = {en}
}
@article{NathoThieken2018,
  author    = {Natho, Stephanie and Thieken, Annegret},
  title     = {Implementation and adaptation of a macro-scale method to assess and monitor direct economic losses caused by natural hazards},
  series = {International Journal of Disaster Risk Reduction},
  volume    = {28},
  journal   = {International Journal of Disaster Risk Reduction},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2212-4209},
  doi       = {10.1016/j.ijdrr.2018.03.008},
  pages     = {191 -- 205},
  year      = {2018},
  abstract  = {As one of the 195 member countries of the United Nations, Germany signed the Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR). Among other targets, the SFDRR aims at reducing direct economic losses caused by natural hazards by 2030. The United Nations Office for Disaster Risk Reduction (UNISDR) has hence proposed a methodology for estimating direct economic losses per event and country, based on experiences from developing countries. Since its usability in industrialized countries is unknown, this study presents the first implementation and validation of this approach in Germany. The methodology was tested for the three costliest natural hazard types in Germany, i.e. floods, wind and hail storms, considering 12 case studies between 1984 and 2016. Although the event-specific input data requirements are restricted to the number of damaged or destroyed units per sector, incomplete event documentations did not allow a full validation of all sectors necessary to describe the total direct economic loss. New modules (cars, forestry, paved roads, housing contents and overall costs of urban infrastructure) were developed to better adapt this methodology to German conditions. Whereas the original UNISDR methodology both over-and underestimates the losses of the tested events by a wide margin, the adapted methodology is able to calculate losses accounting well for all event types except for flash floods. Hence, this approach serves as a good starting point for macro-scale loss estimations. By implementing this approach into damage and event documentation and reporting standards, a consistent monitoring of the SFDRR could be achieved.},
  language  = {en}
}