Residential flood loss maps Danube catchment

This data set provides a set of residential flood loss maps (ESRI Shapefiles) for the German part of the Danube catchment for current and future climate based on a stochastic event set of flood hazard footprints (Schröter et al. 2017; http://doi.org/10.5880/GFZ.5.4.2017.003).
The multi-polygon maps provide flood loss in EUR for residential land use areas according to the ATKIS (Authoritative Topographic Cartographic Information System) codes residential areas (2111) and areas of mixed use (2113), (BKG GEODATENZENTRUM: ATKIS-Basis-DLM, 2005).
Loss values are calculated using the FloodLossEstimationMOdel for the residential sector (FLEMOps+r) developed by Elmer et al. (2010) in combination with exposure data based on total replacement costs for residential buildings (Kleist et al., 2006). Asset values with a spatial resolution corresponding to the underlying inundation depth maps of the stochastic event set (100x100 m) have been derived by applying a binary disaggregation method and using the digital basic landscape model ATKIS as ancillary information (Wünsch et al. 2009).
The flood event sets are derived for the historical period (1970-1990) and two RCPs (4.5 and 8.5) for the near future (2020-2049) and far future (2070-2099) for four CORDEX models. These flood event sets are created within continuous long-term simulations of a coupled model chain including the IMAGE stochastic multi-variable, multi-site weather generator, the eco-hydrological model SWIM and 1D river network coupled with 2D hydro-numeric hinterland inundation model, see Schröter et al. (2017) for further details
The data have been produced within the OASIS+ demonstrator project 'Future Danube Multi Hazard and Risk Model' funded by Climate-KIC in the period from January 2016 to December 2017.
Key features:• Flood loss maps for residential areas in the German part of the Danube catchment from stochastic flood event sets for current and future climate.• High spatial resolution for ATKIS residential land use areas intersected with 100x100 m inundation depth maps.• Flood loss scenarios for historical period (1970-1990) and two RCPs (4.5 and 8.5) for the near future (2020-2049) and far future (2070-2099) from four CORDEX models
Key usage:• Large-scale flood risk assessment• Future flood risk assessment• Flood risk management with long-term perspective
A full description of the data provenance and specification is given in the README_Schroeter-et-al-2017-004.txt file available in the data download section at this DOI Landing Page.

本数据集提供多瑙河流域德国段的住宅洪水损失地图（格式为ESRI Shapefile），该数据集基于随机洪水灾害足迹事件集（Schröter等，2017；http://doi.org/10.5880/GFZ.5.4.2017.003），涵盖当前与未来气候情景。

该多面型地图依据权威地形制图信息系统（Authoritative Topographic Cartographic Information System，简称ATKIS）的编码规则，针对住宅用地（代码2111）与混合用途用地（代码2113）（BKG地理数据中心：ATKIS基础数字景观模型，2005），计算并展示住宅用地的洪水损失金额（单位：欧元）。

损失值采用Elmer等（2010）开发的住宅领域洪水损失估算模型（FLEMOps+r，全称为FloodLossEstimationModel for the residential sector），结合基于住宅建筑总重置成本的承灾体暴露数据（Kleist等，2006）计算得到。通过应用二进制分解方法，并以ATKIS基础数字景观模型作为辅助信息（Wünsch等，2009），得到了与随机事件集淹没深度地图空间分辨率（100米×100米）匹配的资产价值数据。

本数据集针对历史时期（1970-1990年）、两种典型浓度路径（Representative Concentration Pathway，简称RCP）情景（4.5与8.5）下的近期（2020-2049年）与远期（2070-2099年）情景，基于4个CORDEX模式（协调区域气候降尺度试验，Coordinated Regional Climate Downscaling Experiment）生成了洪水事件集。上述洪水事件集通过耦合模型链的长期连续模拟生成，该模型链涵盖IMAGE随机多变量多站点天气发生器、生态水文模型SWIM以及耦合二维内陆水文数值淹没模型的一维河网模型，详细信息可参见Schröter等（2017）的研究。

本数据集由Climate-KIC资助的OASIS+示范项目“未来多瑙河多灾害与风险模型”于2016年1月至2017年12月期间研发完成。

核心特征：
• 基于随机洪水事件集的当前及未来气候情景下多瑙河流域德国段住宅用地洪水损失地图
• 与100米×100米淹没深度地图叠加的高空间分辨率ATKIS住宅用地数据
• 基于4个CORDEX模式，覆盖历史时期（1970-1990年）以及两种RCP情景（4.5与8.5）下近期（2020-2049年）和远期（2070-2099年）的洪水损失情景

核心用途：
• 大规模洪水风险评估
• 未来洪水风险评估
• 具备长期视角的洪水风险管理

数据来源与完整规格说明可参见本DOI着陆页数据下载板块中的README_Schroeter-et-al-2017-004.txt文件。