Evolution of flood risk over large areas: Quantitative assessment for the Po river

JOURNAL OF HYDROLOGY

卷:527

Article

Domeneghetti, Alessio¹  Carisi, Francesca¹  Castellarin, Attilio¹  Brath, Armando¹ 

[1] Univ Bologna, Sch Engn, DICAM, Bologna, Italy

关键词: Levee effect;    Exposure to floods;    Flood hazard and risk assessment;    Po river;    Hypsometric vulnerability curve;   

DOI  :  10.1016/j.jhydrol.2015.05.043

来源: Elsevier

【 摘 要 】

The worldwide increase of damages produced by floods during the last decades strengthens the common perception that flood risk is dramatically increasing due to a combination of different causes, among which climate change is often described as the major driver. Nevertheless, the scientific community is increasingly aware of the role of the anthropogenic pressures (e.g. steady expansion of urban and industrial areas in dyke-protected floodplains) that may strongly impact the flood risk in a given area by increasing potential flood damages and losses (i.e. so called levee effect). The scientific literature on quantitative assessments of the levee-effect or robust methodological tools for performing such assessments is still sparse. We refer to the dyke-protected floodplains of the middle and lower portion of River Po (Northern Italy), a broad geographical area (similar to 46,000 km(2)) with two specific research questions in mind: (i) has the flood risk increased over the last half century? And, if so, (ii) what are the main drivers of this change? First, we assess the flood-hazard evolution by analyzing three long series of daily streamflow available at different gauging stations. Secondly, we quantitatively assess the temporal variability of the flood exposure and risk by looking at the evolution in time of anthropogenic pressures (i.e. land-use and demographic dynamics observed from 1950s). To this aim, we propose graphical tools (i.e. Hypsometric Vulnerability Curves - HVCs) that are suitable for assessing vulnerability to floods over large geographical areas. Our study highlights the absence of statistically significant trends in annual statistics of the observed streamflow series and a stable population density within the dike-protected flood-prone area. Nevertheless, the proposed flood-vulnerability indexes show a significant increase of the exposure to floods in residential settlements, which has doubled since the 1950s. (C) 2015 Elsevier B.V. All rights reserved.

【 授权许可】

Free