This Shiny app (based on the R programming language) provides a method of flood frequency estimation within the Godavari and Krishna river basins, focusing on Maharashtra state.
This app allows one to select a location, and a flood frequency curve will be shown corresponding to the nearest station, either geographically or downstream along the river network. Along with this are presented key catchment descriptors such as area, aspect and mean annual rainfall.
The flood frequency curve shows the relationship between the rarity of a flood (known as return period), and the amount of flow in a flood (measured in cubic metres per second). Key return periods are also presentedfor convenience.
In addition, one can explore how floods are changing over time. On the Trends tab, we see the trend in the biggest flow value in each year, along with a measure of whether the trend is statistically significant.
To get flood frequency estimates for a location of interest, either type in the longitude and latitude (measured in degrees), or click on the location on the interactive map. To zoom in, double click or scroll while hovering over the region of interest. To get estimates of trend, select the station name from the dropdown box, and the relevant plot will be shown.
This work was supported by the Natural Environment Research Council as part of the SUNRISE Overseas Development Activity programme delivering National Capability.
This work was undertaken with help from colleagues at IIT Bombay. Daily river flow data was used via the India-WRIS website showing data from the CWC. Landuse data came from Harmonised World Soil Database, rainfall data is based on the CFSR and soil permeability is based on the SQ4 statistic in the Harmonised World Soil Database.