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Computes flood extent, if length(seq) equals 1, or flood duration for the active floodplains along the German federal waterways Elbe and Rhine based on 1d water levels computed by waterLevelFlood2 provided by package hyd1d in analogy to the INFORM 3 module 'Flut2'.


flood2(x, seq, filename = "", ...)



has to by type SpatRaster and has to include both input layers csa (cross section areas) and dem (digital elevation model). To compute water levels along the River Elbe, x has to be in the coordinate reference system ETRS 1989 UTM 33N, for the River Rhine in ETRS 1989 UTM 32N. Other coordinate reference systems are not permitted.


has to be type c("POSIXct", "POSIXt") or Date and have a length larger than 0. Values of seq must be in the temporal range between 1960-01-01 and yesterday (Sys.Date() - 1). Internally waterLevelFlood2() uses getGaugingDataW to obtain daily water level information from df.gauging_data.


supplies an optional output filename and has to be type character.


additional arguments as for writeRaster.


SpatRaster object with flood duration in the range of [0, length(seq)].


For every time step provided in seq, flood2() computes a 1d water level using waterLevelFlood2 along the requested river section. This 1d water level is transfered to a wl (water level) raster layer, which is in fact a copy of the csa (cross section areas) layer, and then compared to the dem (digital elevation model) layer. Where the wl layer is higher than the dem, layer flood duration is increased by 1.


Rosenzweig S, Giebel H, Schleuter M (2011). “Ökologische Modellierungen für die Wasser- und Schifffahrtsverwaltung – Das integrierte Flussauenmodell INFORM in seiner neuesten Fassung (Version 3). Bundesanstalt für Gewässerkunde, Koblenz, Germany.” doi:10.5675/bfg-1667 .


# \donttest{
  options("hydflood.datadir" = tempdir())
  # import the raster data and create a raster stack
  c <- st_crs("EPSG:25833")
  e <- ext(309000, 310000, 5749000, 5750000)
  x <- hydSpatRaster(ext = e, crs = c)
  # create a temporal sequence
  seq <- seq(as.Date("2016-12-01"), as.Date("2016-12-31"), by = "day")
  # compute a flood duration
  fd <- flood2(x = x, seq = seq)
# }