Document Details

Document Type : Thesis 
Document Title :
FLASH FLOOD MODELING FOR SELECTED AREA IN RIYADH CITY
نمذجة جريان الفياضانات المفاجئة في مناطق مختارة في مدينة الرياض
 
Subject : Faculty of Arts and Humanities 
Document Language : Arabic 
Abstract : Uncontrolled urban expansion and increased rainfall events, in certain regions of Saudi Arabia, have aggravated the impacts of frequent flash flooding on infrastructures and human life in recent years. With the availability of high-resolution datasets, detailed Terrain information resulting from the frequent ongoing aerial survey, it is promising for modeling and analyzing flash flood in urban areas more accurately using such higher precision data derived from LiDAR. The purpose of this thesis was to evaluate and compare low and high-resolution elevation models and their applications for assessing and identifying flooding risk potential areas in Um Qaser Areas in Riyadh, Saudi Arabia. This study focused on generating water accumulation areas and direction of water flow using both the resolutions of DEMs to help ascertain the capabilities of LiDAR dataset. It was found that LiDAR terrain data successfully identified 59 points of water accumulation , an increase of about 50% than processed Satellite ASTER 30m Elevation data which only identified 26 points. Processing LiDAR based terrain data also resulted in the generation of hydro network information in better detail than satellite DEM. It seems that LiDAR datasets producing high resolutions Terrain Models are ideal for dense focused urban areas for flood monitoring and analysis studies where lower resolutions DEM of 30m or high scale and wider coverage areas and/or semi urban rural cities. More future work needs to be carried out to integrate cadastral information to the DTM processing of LiDAR for higher accurate water flow network generation leading to better modeling 
Supervisor : Dr. Amer ALThubaiti 
Thesis Type : Master Thesis 
Publishing Year : 1440 AH
2018 AD 
Added Date : Tuesday, December 18, 2018 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
حسام عبدالله الشاويAlshawi, Hossam AbdullahResearcherMaster 

Files

File NameTypeDescription
 43871.pdf pdf 

Back To Researches Page