R package for processing flood data at NVE.This includes to
(1) Extract annual maximum floods from daily and subdaily streamflow obsrvations
(2) Extract catchment averages for daily temperatur, rain, snowmelt and runoff based on SeNorge model results
(3) Estimate a recession time for catchments based on daily streamflow observations.
(4) Estimate the relative contribution of rain precipitation for individual floods based on the SeNorge rain and snow melt data.
(5) Extract independent flood peaks over threshold using a percentile of the empirical distribution of daily flows a a threhold and independence criterions based on the time between successive peaks and the minimum flow between peaks.
For windows and RStudio, install the following packages:
install.packages("devtools")
install.packages("curl")Install the package with the following code:
library(devtools)
install_github("NVE/NVEHYDROTOOLS")The installation comes with an example dataset in the directory 'inst'. The full dataset is located in //nve/fil/h/HM/Interne Prosjekter/Flomkart/Data or available by request.
The following code returns annual maximums for selected stations, bouth daily and subdaily. Results are written to a specified file where each line is a flood event. If the annual maximum daily and subdaily floods are from the same event, one flood value is given per year, in the other case two flood events is given per year.
The ams data are written to file.
library(NVEHYDROTOOLS)
amsdata<-extract_ams_allstations(stations_periods_file="inst/Example_data/Flooddata/Table_stations_periods.csv",
dailydata="inst/Example_data/Dailydata", subdailydata="inst/Example_data/Subdaily",
outfile="inst/Example_data/Flooddata/amsvalues.txt")The ams-file is used to select for which stations and years the POT will be extracted. POT is extracted for daily streamflow only.
The pot data are written to file.
amfile='inst/Example_data/Flooddata/amsvalues.txt'
dfolder="inst/Example_data/Dailydata"
outfile="inst/Example_data/Flooddata/potvalues.txt"
potdata<-extract_pot_allstations(amsfile=amfile, dailydata=,dfolder,p_threshold = 0.98, TSEP = 6,pratio= 2.0/3.0, outfile=outfile)Shape file with catchment boundaries for NVE gauging stations might be downloaded from http://nedlasting.nve.no/gis/, and you should select the GIS dataset HYDROLOGISKE DATA->Totalnedbørfelt til målestasjon
The GridIDs are written to file
shapef <- '//nve/fil/h/HM/Interne Prosjekter/Flomkart/Data/GISData/Hydrologi_TotalNedborfeltMalestasjon.shp'
slayer<- 'Hydrologi_TotalNedborfeltMalestasjon'
snr_t="inst/Example_data/CatchmentCharacteristics/Feltnr_flomkart_til_feltnr_GIS.txt"
outfile<-'inst/Example_data/GISData/CID.txt'
grid_id_example_catchments<-gridcell_list(NA,c_shape=shapef,snr_translation=snr_t,c_layer=slayer,outfile=outfile)example_stations<-c("1.37.0","2.1.0","2.11.0","2.13.0","2.15.0","2.21.0","2.25.0","2.28.0","2.32.0")
shapef <- '//nve/fil/h/HM/Interne Prosjekter/Flomkart/Data/GISData/Hydrologi_TotalNedborfeltMalestasjon.shp'
slayer<- 'Hydrologi_TotalNedborfeltMalestasjon'
snr_t="inst/Example_data/CatchmentCharacteristics/Feltnr_flomkart_til_feltnr_GIS.txt"
outfile<-'inst/Example_data/GISData/CID.txt'
grid_id_example_catchments<-gridcell_list(c_ids=example_stations,c_shape=shapef,snr_translation=snr_t,c_layer=slayer,outfile=outfile)This requires access to the complete SeNorge model data. Avaliable on request. The outputs are written to the files aveP.txt, aveQ.txt, aveR.txt, aveS.txt and aveT.txt
sfile<-'inst/Example_data/Flooddata/Table_stations_periods.csv'
grid_id_example_catchments<-'inst/Example_data/GISData/CID.txt'
outf<-'inst/Example_data/Flooddata/'
metinf<-get_metdataforfloods(gridid=grid_id_example_catchments,first_day=as.Date("1961/1/1"),last_day=as.Date("1961/01/31"),
station_file=sfile,metfolder="U:/metdata/met_obs_v2.0/",snowfolder="U:/snowsim/snowsim_v2.0.1/",hbvfolder="Z:/gwbsim/gwbsim_v2.0",outfolder=outf)
# Using all catchments identified in the grid id file:
metinf<-get_metdataforfloods(gridid=grid_id_example_catchments,first_day=as.Date("1961/1/1"),last_day=as.Date("1961/01/31"),
station_file=NA,metfolder="U:/metdata/met_obs_v2.0/",snowfolder="U:/snowsim/snowsim_v2.0.1/",hbvfolder="Z:/gwbsim/gwbsim_v2.0",outfolder=outf)The recessiontime is the number of days needed for the catchment moisture to be at 1% of its initial value. Needed for assessing flood generating process.
spfile<-"inst/Example_data/Flooddata/Table_stations_periods.csv"
dfolder<-"inst/Example_data/Dailydata"
outfile<-"inst/Example_data/Flooddata/recessiontimes.txt"
recessions<-extract_recessiontimes_allstations(fraction=0.995,spfile,dfolder,outfile)Daily values of the catchment averaged rain and snow melt is provided in the example dataset. The outputs are written to a file where a column of fgps is added to the original file with flood values.
fdata<-'inst/Example_data/Flooddata/amsvalues.txt'
rdata<-'inst/Example_data/Flooddata/aveR.txt'
sdata<-'inst/Example_data/Flooddata/aveS.txt'
resdata<-'inst/Example_data/Flooddata/recessiontimes.txt'
outf<-'inst/Example_data/Flooddata/ams_and_fgp.txt'
fgp<-get_fgp_allstations(floodfile=fdata, rainfile=rdata,snowfile=sdata,recessionfile=resdata,outfile=outf,cfgp=4)Daily values of the catchment averaged rain and snow melt is provided in the example dataset. The outputs are written to a file where a column of fgps is added to the original file with flood values.
fdata<-'inst/Example_data/Flooddata/potvalues.txt'
rdata<-'inst/Example_data/Flooddata/aveR.txt'
sdata<-'inst/Example_data/Flooddata/aveS.txt'
resdata<-'inst/Example_data/Flooddata/recessiontimes.txt'
outf<-'inst/Example_data/Flooddata/pot_and_fgp.txt'
fgp<-get_fgp_allstations(floodfile=fdata, rainfile=rdata,snowfile=sdata,recessionfile=resdata,outfile=outf,cfgp=4)cp_all<-'inst/Example_data/CatchmentCharacteristics/Hydra_FeltparTabell.csv'
slist<- 'inst/Example_data/Flooddata/Table_stations_periods.csv'
outfile<-'inst/Example_data/CatchmentCharacteristics/cp_floodstations.txt'
create_CatchmentParameters(cp_all_stations=cp_all,floodstations=slist,cp_floodstations=outfile)Scripts developed during Flomkartproject:
Lena Schlichting and Kolbjørn Engeland 2016.
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