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Water 2017, 9(2), 145; doi:10.3390/w9020145

Developing Intensity–Duration–Frequency (IDF) Curves under Climate Change Uncertainty: The Case of Bangkok, Thailand

UNESCO-IHE, Institute for Water Education, Westvest 7, AX Delft 2611, The Netherlands
School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4 Klong Luang, Pathumthani 12120, Thailand
College of Engineering, Mathematics and Physics, University of Exeter, Exeter EX4 4QF, UK
School of Civil Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, Beograd 11000, Serbia
Author to whom correspondence should be addressed.
Academic Editor: Athanasios Loukas
Received: 8 December 2016 / Revised: 10 February 2017 / Accepted: 15 February 2017 / Published: 22 February 2017
(This article belongs to the Special Issue Hydroinformatics and Urban Water Systems)
View Full-Text   |   Download PDF [2400 KB, uploaded 23 February 2017]   |  


The magnitude and frequency of hydrological events are expected to increase in coming years due to climate change in megacities of Asia. Intensity–Duration–Frequency (IDF) curves represent essential means to study effects on the performance of drainage systems. Therefore, the need for updating IDF curves comes from the necessity to gain better understanding of climate change effects. The present paper explores an approach based on spatial downscaling-temporal disaggregation method (DDM) to develop future IDFs using stochastic weather generator, Long Ashton Research Station Weather Generator (LARS-WG) and the rainfall disaggregation tool, Hyetos. The work was carried out for the case of Bangkok, Thailand. The application of LARS-WG to project extreme rainfalls showed promising results and nine global climate models (GCMs) were used to estimate changes in IDF characteristics for future time periods of 2011–2030 and 2046–2065 under climate change scenarios. The IDFs derived from this approach were corrected using higher order equation to mitigate biases. IDFs from all GCMs showed increasing intensities in the future for all return periods. The work presented demonstrates the potential of this approach in projecting future climate scenarios for urban catchment where long term hourly rainfall data are not readily available. View Full-Text
Keywords: climate change; climate modelling; Intensity–Duration–Frequency; rainfall disaggregation; urban drainage climate change; climate modelling; Intensity–Duration–Frequency; rainfall disaggregation; urban drainage

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Shrestha, A.; Babel, M.S.; Weesakul, S.; Vojinovic, Z. Developing Intensity–Duration–Frequency (IDF) Curves under Climate Change Uncertainty: The Case of Bangkok, Thailand. Water 2017, 9, 145.

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