NH33C-1929
Proposal of global flood vulnerability scenarios for evaluating future potential flood losses

Wednesday, 16 December 2015
Poster Hall (Moscone South)
Youhei Kinoshita1, Masahiro Tanoue2, Satoshi Watanabe2 and Yukiko Hirabayashi3, (1)University of Tokyo, Institute of Engineering, Bunkyo-ku, Japan, (2)University of Tokyo, Bunkyo-ku, Japan, (3)The University of Tokyo, Tokyo, Japan
Abstract:
Flooding is one of the most hazardous and damaging natural disasters causing serious economic loss and casualties across the world (Jongman et al., 2015). Previous studies showed that the global temperature increase affects regional weather pattern, and several general circulation model (GCM) simulations suggest the increase of flood events in both frequency and magnitude in many parts of the world (Hirabayashi et al., 2013). Effective adaptation to potential flood risks under the warming climate requires an in-depth understanding of both the physical and socioeconomic contributors of the flood risk. To assess the realistic future potential flood risk, future sophisticated vulnerability scenarios associated with the shared socioeconomic pathways (SSPs) are necessary.
In this study we propose a new future vulnerability scenarios in mortality. Our vulnerability scenarios are constructed based on the modeled flood exposure (population potentially suffered by flooding) and a past from 1980 to 2005. All the flood fatality data were classified according to four income levels (high, mid-high, mid-low and low). Our proposed scenarios have three pathways regarding to SSPs; High efficiency (HE) scenario (SSP1, SSP4 (rich country) and SSP5), Medium efficiency (ME) scenario (SSP2), and Low efficiency (LE) scenario (SSP3 and SSP4 (poor country)). The maximum mortality protection level on each category was detected by applying exponential curve fitting with offset term. Slopes in the HE scenario are assumed to be equal to slopes estimated by regression analysis in each category. The slope in the HE scenario is defined by the mean value of all countries’ slope value that is approximately -0.33 mortality decreases per year. The EM-DAT mortality data shows a decreasing trend in time in almost all of the countries. Although mortalities in some countries show an increasing trend, this is because these countries were affected by once-in-hundred-years floods after 1990’s. The slope in the ME scenario are half of that in the HE scenario, and a quarter in the LE scenario. In addition, we set three categories depending on mortality level. Our proposed vulnerability scenarios would enable us to reasonably replicate self-sustained vulnerability change against flood hazard associated with the SSPs.