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

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.

Authors and Affiliations

Violina Basumatary, Briti Sundar Sil

Keywords

Related Articles

Simulation of water cycle components in the Narmada River basin by forcing SWAT model with CFSR data

In the present study, an attempt has been made through a hydrological model (SWAT – Soil and Water Assessment Tool) to simulate water cycle components over the Narmada river basin, one of the largest rivers in the Indian...

Operational setup of the soil-perturbed, time-lagged Ensemble Prediction System at the Institute of Meteorology and Water Management – National Research Institute

The usage of Ensemble Prediction System (EPS)-based weather forecasts is nowadays becoming very popular and widespread, because ensemble means better represent weather-related risks than a single (deterministic) forecast...

Classification by multiple regression - a new approach towards the classification of extremes

There are numerous algorithmic classification methods that address the connections between different scales of the atmosphere, such as EOFs, clustering, neural nets. However, their relative strength encompasses the mean...

Models, manifestation and attribution of climate change

Results from a series of five surveys among five groups of international climate scientists about their evaluation of elements of climate models and of climate change are presented. The first survey was done in 1996, the...

Maximum daily rainfall analysis at selected meteorological stations in the upper Lusatian Neisse River basin

The scope of this study was to assess the usefulness of top probability distributions to describe maximum rainfall data in the Lusatian Neisse River basin, based on eight IMWM-NRI meteorological stations. The research ma...

Download PDF file
  • EP ID EP544566
  • DOI 10.26491/mhwm/79175
  • Views 41
  • Downloads 0

How To Cite

Violina Basumatary, Briti Sundar Sil (2018). Generation of Rainfall Intensity-Duration-Frequency curves for the Barak River Basin. Meteorology Hydrology and Water Management Research and Operational Applications, 6(1), 47-57. https://europub.co.uk/articles/-A-544566