Suchergebnisse

Decreased funding and shifting governmental priorities have resulted in a contraction of hydrometric measurement in many regions over the past two decades. Moreover, concerns exist with respect to appropriate data usage and (transboundary) exchange, in addition to the compatibility and extent of existing hydrometric datasets. These issues are undoubtedly magnified due to enhanced data demands and increased financial pressures on network managers, thus requiring new approaches to optimising the societal benefits and overall efficacy of hydrometric information for future socio-hydrological resilience. The current study employed a quantitative cross-sectional expert elicitation of 203 respondents to collate, analyse and assess hydrometric network users' opinions, knowledge and experience. Current usage patterns, perceived network strengths, requirements, and limitations have been identified and discussed within the context of hydrometric resilience in a changing social, economic and natural environment. Findings indicate that small (<30 km2) catchment data are most frequently employed in the Republic of Ireland, particularly with respect to extreme event prediction and flood management. Similarly, small catchments and areas characterised by previous/recent flooding were prioritised for resilience management via network amendment. Over half of those surveyed (50.5%) reported the current network as inadequate for their professional requirements. Conversely, respondents indicated network efficacy has improved (53.2%) or remained stable (26.6%) over the course of their professional career, however, improvements (as defined by individual respondents i.e. network density, data quality, data availability) have not occurred at a sufficient rate. User-defined efficacy (adequacy, resilience) was found to be a somewhat vague, multivariate concept, with no individual predictor identified, however, general data quality, network density, and urban catchment data were the most significant issues among respondents. A significant majority (85.4%) of respondents indicate that future resilience would be best achieved via network density amendment, with over 60% favouring geographically and/or categorically focused network increases, as opposed to more general national increases.

Abstract. In coastal regions, floods can arise through a combination of multiple
drivers, including direct surface run-off, river discharge, storm surge, and
waves. In this study, we analyse compound flood potential in Europe and
environs caused by these four main flooding sources using state-of-the-art
databases with coherent forcing (i.e. ERA5). First, we analyse the
sensitivity of the compound flooding potential to several factors: (1)
sampling method, (2) time window to select the concurrent event of the
conditioned driver, (3) dependence metrics, and (4) wave-driven sea level
definition. We observe higher correlation coefficients using annual maxima
than peaks over threshold. Regarding the other factors, our results show
similar spatial distributions of the compound flooding potential. Second, the
dependence between the pairs of drivers using the Kendall rank correlation
coefficient and the joint occurrence are synthesized for coherent patterns of
compound flooding potential using a clustering technique. This quantitative
multi-driver assessment not only distinguishes where overall compound flooding
potential is the highest, but also discriminates which driver combinations are
more likely to contribute to compound flooding. We identify that hotspots of
compound flooding potential are located along the southern coast of the North
Atlantic Ocean and the northern coast of the Mediterranean Sea.