Main Page
Deanship
The Dean
Dean's Word
Curriculum Vitae
Contact the Dean
Vision and Mission
Organizational Structure
Vice- Deanship
Vice- Dean
KAU Graduate Studies
Research Services & Courses
Research Services Unit
Important Research for Society
Deanship's Services
FAQs
Research
Staff Directory
Files
Favorite Websites
Deanship Access Map
Graduate Studies Awards
Deanship's Staff
Staff Directory
Files
Researches
Contact us
عربي
English
About
Admission
Academic
Research and Innovations
University Life
E-Services
Search
Deanship of Graduate Studies
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 Type
Dr Grade
Email
حسام عبدالله الشاوي
Alshawi, Hossam Abdullah
Researcher
Master
Files
File Name
Type
Description
43871.pdf
pdf
Back To Researches Page