Generation of Rainfall Intensity-Duration-Frequency curves for the Barak River Basin

Abstract

Abstract. Analysis of a design storm, explained as the expected rainfall intensity for a given storm duration and return period is carried out to establish Rainfall Intensity-Duration-Frequency (IDF) relationships. The IDF relationships are essential for the designing of hydraulic structures for future planning and management. The intent was to determine IDF relationship for the Barak River Basin in India. This region receives heavy rainfall but lacks potential in harnessing the available water resources. Rain gauge stations are not so frequent in this region. Under this condition, the engineers are bound to use IDF relationships. Using the 24-hour annual maximum rainfall and disaggregated hourly maximum rainfall as a measure of rainfall intensity for each station, IDF curves and isopluvial maps of rainfall intensities of 30-minute to 24-hour durations were generated. Analysis was done using the best fit amongst the Gumbel, Log Pearson Type III and Lognormal probability distribution functions. The goodness-of-fit tests indicated the Log Pearson Type III distribution was a suitable distribution for the area. After developing IDF curves for each station, an average IDF curve was developed using the Thiessen Polygon method in ArcGIS. The IDF relationship developed can be used as valuable information for the planning and management of hydraulic structures in the region.

Risk of Natural Hazards Caused by Extreme Precipitation in Poland in 1951–2020

“…Various indices are used to assess extreme precipitation in the context of natural hazards, e.g., a daily sum exceeding the 95th or 99th percentile of a given time series, calculated separately for each station with a daily sum of ≥1 mm [14,[34][35][36], or various amounts of precipitation; ≥30 mm/day, ≥50 mm/day, ≥70 mm/day, and ≥100 mm/day [13,16,22,28,32,33], i.e., with thresholds similar to these of the present study. As pointed out by some scientists [43][44][45], EDPr events could be characterized much better if researchers had at their disposal not only the amount of precipitation, but also its duration. However, acquisition of such data covering long multi-year periods of at least 70 years from several dozen stations in the whole country is almost impossible.…”

Comparing Methods for the Regionalization of Intensity−Duration−Frequency (IDF) Curve Parameters in Sparsely-Gauged and Ungauged Areas of Central Chile

“…Hershfield [86] designed precipitation intensity isolines for 30 min to 24 h and return periods of 1 to 100 years, limited to the continental United States. Similarly, Basumatari and Sil [87] constructed maps of rainfall intensities in the Barak River basin, India, for durations from 30 min to 24 h and return periods of 2 to 100 years. A similar approach was taken in Botswana, generating maps of 24 h intensities for return periods from 2 to 100 years [88].…”

“…However, this approach limits estimates to the durations and return periods in the maps. On the other hand, various studies have preferred to regionalize the parameters of the equation to calculate IDF [30,44,86,87]. This approach has the advantage of allowing the IDF model in areas without data; therefore, IDF intensities are in a continuous spectrum.…”

A 30 m global flood inundation model for any climate scenario

“…The IDF curves were compared to local IDF curves at 20 sites across 14 countries (Ariff et al, 2012;Ayuso et al, 2012;Basumatary & Sil, 2018;Carlier & Khattabi, 2016;Dakheel, 2017;Pizarro et al, 2015;Subyani & Al-Amri, 2015;Yamoat et al, 2023;Yilmaz et al, 2017;Seong & Lee, 2007) and the bias at each duration and frequency was computed per site (see Figure 3). Globally, the mean bias is 0.2%, meaning the model underpredicts as often as it overpredicts, while the mean absolute error is 23.7%.…”