Two Dimensional Flood Inundation Modelling in Urban Areas Using WMS, HEC-RAS and GIS (Case Study in Jeddah City, Saudi Arabia)

2018 ◽  
pp. 265-267 ◽  
Author(s):  
Kuswantoro Marko ◽  
Amro Elfeki ◽  
Nassir Alamri ◽  
Anis Chaabani
Keyword(s):  
Saudi Arabia ◽  
Urban Areas ◽  
Flood Inundation ◽  
Two Dimensional ◽  
Jeddah City ◽  
Inundation Modelling

A two-dimensional hydrodynamic model for flood inundation simulation: a case study in the lower Mekong river basin

2007 ◽  
Vol 21 (9) ◽  
pp. 1223-1237 ◽  
Author(s):  
Dushmanta Dutta ◽  
Jahangir Alam ◽  
Kazuo Umeda ◽  
Masayoshi Hayashi ◽  
Sadayuki Hironaka
Keyword(s):  
River Basin ◽  
Hydrodynamic Model ◽  
Mekong River ◽  
Flood Inundation ◽  
Two Dimensional ◽  
Mekong River Basin ◽  
Inundation Simulation

scholarly journals AUTOMATIC CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGERY – A CASE STUDY FOR URBAN AREAS IN THE KINGDOM OF SAUDI ARABIA

2017 ◽  
Vol XLII-1/W1 ◽  
pp. 11-16
Author(s):  
A. Maas ◽  
M. Alrajhi ◽  
A. Alobeid ◽  
C. Heipke
Keyword(s):  
Saudi Arabia ◽  
Urban Areas ◽  
Large Scale ◽  
Stable Solution ◽  
Training Data ◽  
Added Value ◽  
Kingdom Of Saudi Arabia ◽  
Supervised Classifiers ◽  
High Resolution Satellite Imagery

Updating topographic geospatial databases is often performed based on current remotely sensed images. To automatically extract the object information (labels) from the images, supervised classifiers are being employed. Decisions to be taken in this process concern the definition of the classes which should be recognised, the features to describe each class and the training data necessary in the learning part of classification. With a view to large scale topographic databases for fast developing urban areas in the Kingdom of Saudi Arabia we conducted a case study, which investigated the following two questions: (a) which set of features is best suitable for the classification?; (b) what is the added value of height information, e.g. derived from stereo imagery? Using stereoscopic GeoEye and Ikonos satellite data we investigate these two questions based on our research on label tolerant classification using logistic regression and partly incorrect training data. We show that in between five and ten features can be recommended to obtain a stable solution, that height information consistently yields an improved overall classification accuracy of about 5%, and that label noise can be successfully modelled and thus only marginally influences the classification results.

Flood Inundation Analysis and Mitigation with a Coupled 1D-2D Hydraulic Model: A Case Study in Kochi, Japan

2015 ◽  
Vol 10 (6) ◽  
pp. 1099-1109 ◽  
Author(s):  
M. A. C. Niroshinie ◽  
◽  
Yasuo Nihei ◽  
Kazuaki Ohtsuki ◽  
Shoji Okada ◽  
...  
Keyword(s):  
Flood Plain ◽  
Water Levels ◽  
Flood Inundation ◽  
Two Dimensional ◽  
Hydraulic Models ◽  
Mountain Watershed ◽  
Maximum Water ◽  
Kochi Prefecture ◽  
Inundation Model

Coupled one and two-dimensional (1D-2D) hydraulic models play a significant role in analyzing flooding problems to find possible solutions as they can reproduce the actual situations relatively accurately. This paper summarizes approaches to flood inundation analysis and mitigation with coupled 1D-2D hydraulic models of a small mountain watershed in Japan. A detailed flood inundation model including the effects of drainages, pumping, inflow from mountain sub-watersheds and flood gates is developed using coupled 1D-2D hydraulic models. The model is applied to the inundation in Kubokawa, a small town in Kochi Prefecture, Japan on August 9-10, 2014. Simulated and observed maximum water levels along the river and maximum inundations in the flood plain are compared and found to be consistent. Causes of the flooding and percentage of contribution are quantitatively identified, and countermeasures to reduce the effects of flooding are proposed.

scholarly journals Are Green Infrastructure Strategies Suitable in Arid Climates? A Design Feasibility Study from Jeddah City, Saudi Arabia

2018 ◽  
Author(s):  
Abdulmueen Bogis ◽  
Dean Bork ◽  
Patrick Miller
Keyword(s):  
Saudi Arabia ◽  
Green Infrastructure ◽  
Rainwater Harvesting ◽  
Jeddah City ◽  
Single Function ◽  
Reliable Source ◽  
Vision 2030 ◽  
Graywater Reuse ◽  
Positive Results

This paper describes the feasibility and probable benefits associated with greening the Tahliah Channel, a concrete drainage channel that was originally built to relieve urban flooding in Jeddah City, Saudi Arabia. It includes an estimation of irrigation needs for channel greening based on a standardized planting specification. The study also demonstrates alternative strategies for meeting the required irrigation demand, including water harvesting and graywater reuse on a residential scale. The study shows that greening Tahliah Channel is possible relying mainly on graywater reuse from the surrounding buildings. Also, the study shows that rainwater harvesting is not a reliable source for irrigation. Rather, it can cover only part of the irrigation needs (6%) and so can be used as a secondary supporting source. The positive results of this case study will be of interest to those in arid countries who are looking to upgrade and replace traditional, single function drainage infrastructure with more sustainable, green infrastructure systems. More specifically, the objectives of the study are consistent with the goals of the Saudi government’s ongoing initiative that advocates for more resilient and sustainable cities. (Vision 2030 year).

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