Next Article in Journal
Agricultural Diversity and Sustainability: General Features and Bangladeshi Illustrations
Next Article in Special Issue
Assessing the Effectiveness of Using Recharge Wells for Controlling the Saltwater Intrusion in Unconfined Coastal Aquifers with Sloping Beds: Numerical Study
Previous Article in Journal
Environmental Regulation, Environmental Commitment, Sustainability Exploration/Exploitation Innovation, and Firm Sustainable Development
Previous Article in Special Issue
Geomorphological Landscape Research and Flood Management in a Heavily Modified Tyrrhenian Catchment
Article

Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia

1
Research Center, Ministry of Housing, Riyadh 11461, Saudi Arabia
2
Department of Geography, Faculty of Art, Sohag University, Sohag 82524, Egypt
3
Geography and GIS Department, College of Arts, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
4
Geography Department, College of Arts, Princess Nourah bint Abdulrahman University, Riyadh 84428, Saudi Arabia
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(21), 6003; https://doi.org/10.3390/su11216003
Received: 12 September 2019 / Revised: 24 October 2019 / Accepted: 24 October 2019 / Published: 28 October 2019
The current study aimed at measuring the impact of the change in land-use morphology on the increase of flood risk through its application to the case of the Riyadh–Dammam train track in Saudi Arabia. The track was exposed to drift on 18 February 2017, over a length of 10 km, in the district of Dhahran in the capital of Dammam. Flooding caused the train to drift off its track and resulted in damage to lives, property, and infrastructure. This resulted from human interventions in the preplanning land uses and changing the morphology of the land by encroaching on the valleys, which resulted in the loss of the environmental and ecological balance in the study area. In order to achieve these goals, land-use changes in the study area were monitored by analyzing successive images from the GEO-I-1 satellite with a resolution of 60 cm for the years 2011 and 2017, before and after the train drift, using the maximum likelihood classification process provided in ERDAS IMAGINE 2016. GIS was used in the processing of 1 m digital elevation models to extract the morphological changes of the wadies between 2011 and 2017. A hydrological model (HEC–HMS) was used in calculating the (flood) hydrograph curve of the wadies basins and estimating the calculation of flood water quantities and its flow rates based on the Soil Conservation Services (SCS) Unit Hydrograph Method. Rain depth was analyzed and estimated for different return periods. The HEC–RAS hydraulic modeling program was employed in developing a 2D model to calculate the velocity, depth, and spread of the flood in order to apply the risk matrix method. View Full-Text
Keywords: land-use changes; wadi morphology; flood risk; Riyadh–Dammam train track; hydrological and hydraulic modeling; sustainable development land-use changes; wadi morphology; flood risk; Riyadh–Dammam train track; hydrological and hydraulic modeling; sustainable development
Show Figures

Figure 1

MDPI and ACS Style

Abdelkarim, A.; Gaber, A.F.D.; Alkadi, I.I.; Alogayell, H.M. Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia. Sustainability 2019, 11, 6003. https://doi.org/10.3390/su11216003

AMA Style

Abdelkarim A, Gaber AFD, Alkadi II, Alogayell HM. Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia. Sustainability. 2019; 11(21):6003. https://doi.org/10.3390/su11216003

Chicago/Turabian Style

Abdelkarim, Ashraf, Ahmed F.D. Gaber, Ibtesam I. Alkadi, and Haya M. Alogayell. 2019. "Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia" Sustainability 11, no. 21: 6003. https://doi.org/10.3390/su11216003

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop