EventsThe 4th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session F. Energy, Environmental and Earth Science of the event The 4th International Electronic Conference on Applied Sciences
Published date
27 Oct, 2023
Academic Editor
author-avatarSimeone Chianese
Citation
Inyeneobong Odiong, Jonah Agunwamba, Development of Non-Stationary Rainfall Intensity-Duration-Frequency Curves for Calabar, Nigeria, in Proceedings of The 4th International Electronic Conference on Applied Sciences, 27 October–10 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ASEC2023-15393
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Development of Non-Stationary Rainfall Intensity-Duration-Frequency Curves for Calabar, Nigeria

Jonah Agunwamba 2
1. Lecturer, Civil Engineering (Water Resources Engineering), Akwa Ibom State University.
2. Professor, Civil Engineering (Water Resources Engineering), University of Nigeria, Nsukka
Abstract

Rainfall Intensity-Duration-Frequency (IDF) relationships are crucial in the design and management of hydraulic structures. At the core of the assumption for IDF development is that, the statistics of past rainfall events will represent future rainfall events. It has been proven that climate change is a major trigger for this non-stationarity therefore, the assumption is untenable. This work is aimed at considering the impact of climate change in the development of IDF curves for a city. To account for this non-stationarity, an RCM was combined with measured data through a climate factor (CF) to develop a rainfall IDF for the coastal city of Calabar. The baseline and future climatic periods of the RCM were 1971-2010 and 2021-2060 respectively. The Annual Maxima Series (AMS) were disaggregated and fitted to Gumbel distribution. Results revealed that, the magnitude of trend for measured AMS and measured annual rainfall are -0.351 and +3.628 respectively. A CF value of 0.86 was obtained and a generalized non-stationary rainfall IDF model was derived. When compared to models from similar studies, this model has conserved values with r2=1 and an error margin of ±6% for all return periods. This will introduce economy in the design of hydraulic structures. Excess runoffs in Calabar were therefore related to frequent short duration rainfall with low intensities.

Keywords
Rainfall Intensity-Duration-Frequency
Non-stationarity
Regional Circulation Model
Bias-correction in climate data
Trend analysis
Gumbel distribution
Manuscript
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