EGU25-14578, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-14578
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 01 May, 10:45–12:30 (CEST), Display time Thursday, 01 May, 08:30–12:30
 
Hall X5, X5.53
Enhancing Flood Resilience through Developed Intensity Duration Frequency (IDF) Curves for Makkah, Saudi Arabia
Abdirizak Dirie1 and Ahmed Al-Areeq1,2
Abdirizak Dirie and Ahmed Al-Areeq
  • 1Department of Civil and Environmental Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia (g202309690@kfupm.edu.sa)
  • 2Interdisciplinary Research Center for Membranes and Water Security (IRC-MWS), King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia (ahmed.areeq@kfupm.edu.sa)

Developing Intensity-Duration-Frequency (IDF) curves is critical for effective water resource management, infrastructure design, and flood risk mitigation, particularly in arid and semi-arid regions where rainfall events are infrequent but intense. This study focuses on the development of IDF curves for Makkah, Saudi Arabia, an arid region characterized by limited ground rainfall station coverage. To address the data scarcity, a hybrid approach combining ground-based rainfall records and remote sensing data from the Integrated Multi-satellite Retrievals for GPM (IMERG) was employed. Ground station data provided localized accuracy, while IMERG data offered spatial and temporal completeness, compensating for the sparse ground observations. The analysis involved statistical techniques to calibrate and validate remote sensing data against ground measurements, followed by the derivation of IDF relationships through probabilistic modeling. The resulting IDF curves provide insights into extreme rainfall events, enhancing the understanding of hydrological patterns in arid regions and supporting climate resilience initiatives. This methodology underscores the utility of integrating remote sensing with traditional ground-based observations to overcome data limitations in resource-constrained environments.

How to cite: Dirie, A. and Al-Areeq, A.: Enhancing Flood Resilience through Developed Intensity Duration Frequency (IDF) Curves for Makkah, Saudi Arabia, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14578, https://doi.org/10.5194/egusphere-egu25-14578, 2025.