The impact of rainfall distribution patterns on hydrological and hydraulic response in arid regions : case study Medina, Saudi Arabia
|Author:||Abdulrazzak, Mohamed1; Elfeki, Amro2; Kamis, Ahmed Samy2;|
1Department of Civil Engineering, college of Engineering, Taibah University, Medina, Kingdom of Saudi Arabia
2Department of Hydrology and Water Resources Management — Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, P.O. Box 80208, Jeddah 21589, Kingdom of Saudi Arabia
3Present address: Water Resources and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, P.O. Box 4300, 90014 Oulu, Finland
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201903219645
|Publish Date:|| 2019-11-08
Rainfall distribution patterns (RDPs) are crucial for hydrologic design. Hydrologic modeling is based on Soil Conservation Services (SCS) type RDPs (SCS type I, IA, II, and III). SCS type II method is widely used by hydrologists in arid regions. These RDPs were designed for the USA and similar temperate regions. There is no scientific justification for using SCS type II method in arid regions. The consequences of using SCS type II have impacts on the hydrologic and hydraulic modeling studies. The current paper investigates the validity of the SCS type II and in arid regions. New temporal RDPs were applied and compared with SCS type II RDPs. The produced peak discharges, volumes, maximum inundation depths, top widths, and velocities from both approaches were analyzed. An application is made on the protection channel in Taibah and Islamic Universities campuses in Medina, Saudi Arabia. A methodology was followed which included frequency analysis, catchment modeling, hydrological modeling, and hydraulic modeling. Results indicated that there are considerable consequences on infrastructural design, and hydrologic and hydraulic parameters if inappropriate RDPs are used. The investigation confirmed that the SCS type RDPs do not reflect the actual flood features in arid regions.
Arabian journal of geosciences
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
112 Statistics and probability
218 Environmental engineering
© Saudi Society for Geosciences 2018. This is a post-peer-review, pre-copyedit version of an article published in Arab J Geosci. The final authenticated version is available online at: https://doi.org/10.1007/s12517-018-4043-z.