Spatio-temporal consideration of the impact of flood event types on flood statistic

Flood Impact Assessments on Transportation Networks: A Review of Methods and Associated Temporal and Spatial Scales

“…Scale can refer to either the spatial or the temporal scale. Spatial scale is defined as the extent of an area or space where the event or observation takes place and temporal scale is the total time or duration the event/observation occurs (Fischer and Schumann, 2020;Valeo et al, 2021). Flood assessment requires the data and analyses at various spatial and temporal scales, i.e., area (local or local-regional or regional) and duration, respectively.…”

“…Flood assessment requires the data and analyses at various spatial and temporal scales, i.e., area (local or local-regional or regional) and duration, respectively. For example, small scale rain events, even with limited spatial dimension, can cause floods in smaller catchments, whereas for a larger area or river, the rainfall needs greater spatial extent with increased duration in order to generate a flood scenario (Fischer and Schumann, 2020). These flood events (small and large), which display high variability in their peaks, durations, and volumes can result in damage to infrastructure, partial and complete closure of roads, increased travel times, and traffic congestion.…”

“…These flood events (small and large), which display high variability in their peaks, durations, and volumes can result in damage to infrastructure, partial and complete closure of roads, increased travel times, and traffic congestion. All of which can impact transportation with intangible impacts to industry followed by indirect impacts (Fischer and Schumann, 2020). In addition, the temporal scale of a flood's impact can be measured or observed during the flood, immediately after, within hours, days, weeks, months, and even years.…”

Hydrological Modelling in Data Sparse Environment: Inverse Modelling of a Historical Flood Event

“…The reconstructed-rescaled historical peak at Kirchentellinsfurt was about 930 m 3 s −1 while the maximum recorded peak in the present day data is 538 m 3 s −1 . Such a big difference can be an indication that processes of such magnitude taking place in those times do not repeat any more, as pointed out by Fischer and Schumann [8] for a nearby region in Germany. Yet another reason could be that the spatial interpolations using very few control points result in smooth fields, where the chances for a point measurement to capture the peak value are almost none, resulting in an overall underestimation.…”

“…For the period of time from which early instrumental hydro-meteorological data are available, it is also possible to reconstruct the hydro-meteorological conditions that caused extreme floods (e.g., Bürger et al [5], Seidel et al [6], Bomers et al [7]). This approach is interesting in so far as recently more attention was driven to understand flood generating mechanisms and to quantify their effect on the probability of excedance in Fischer and Schumann [8].…”