Abstract—Bangladesh is one of the most vulnerable countries
of the world to climate change. The magnitude and frequency of
extreme events such as high intensity rainfall, flash flooding,
severe droughts, etc. are expected to be altered in future as a
consequence of this change. This can introduce an element of
uncertainty in the design of hydraulic structures, urban
drainage systems, and other water-sensitive structures, if the
variability is not taken into consideration. This study aims at
developing a regional Intensity-Duration-Frequency (IDF)
relationship for Dhaka city for present as well as future climatic
scenarios. The scaling properties of extreme rainfall are
examined to establish scaling relationship behavior of statistical
moments over different durations. The results show that a
rainfall property in time does follow a simple scaling process. A
scale invariance concept is explored for disaggregation (or
downscaling) of rainfall intensity from low to high resolution
and is applied to the derivation of scaling IDF curves. These
curves are developed based on scaling of the generalized
extreme value (GEV) and Gumbel probability distributions. It
is seen that scaled estimates are relatively close to observed
Index Terms—Climate change, extreme values, IDF curves, scaling exponent, simple scaling.
The authors are with the Department of Civil Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka-1000, Bangladesh (e-mail: email@example.com, firstname.lastname@example.org, email@example.com).
Cite:S. Afrin, M. M. Islam, and M. M. Rahman, "Development of IDF Curve for Dhaka City Based on Scaling Theory under Future Precipitation Variability Due to Climate Change," International Journal of Environmental Science and Development vol. 6, no. 5, pp. 332-335, 2015.