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

Abdelkarim, Ashraf; Gaber, Ahmed; Alkadi, Ibtesam I.; Alogayell, Haya M.

doi:10.3390/su11216003

Cited by 15 publications

(15 citation statements)

References 63 publications

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“…The OKC is a measure of overall statistical agreement of an error matrix, which takes non-diagonal elements into account [36]. The Kappa coefficient is calculated from Equation (1) [37]: where N is the total number of samples,…”

Section: Image Classification and Accuracy Assessmentmentioning

confidence: 99%

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

et al. 2020

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In this research, vegetation indices (VIs) were analyzed as indicators of the spatio-temporal variation of vegetation in a semi-arid region. For a better understanding of this dynamic, interactions between vegetation and climate should be studied more widely. To this end, the following methodology was proposed: (1) acquire the NDVI, EVI, SAVI, MSAVI, and NDMI by classification of vegetation and land cover categories in a monthly period from 2014 to 2018; (2) perform a geostatistical analysis of rainfall and temperature; and (3) assess the application of ordinary and uncertainty least squares linear regression models to experimental data from the response of vegetation indices to climatic variables through the BiDASys (bivariate data analysis system) program. The proposed methodology was tested in a semi-arid region of Zacatecas, Mexico. It was found that besides the high values in the indices that indicate good health, the climatic variables that have an impact on the study area should be considered given the close relationship with the vegetation. A better correlation of the NDMI and EVI with rainfall and temperature was found, and similarly, the relationship between VIs and climatic factors showed a general time lag effect. This methodology can be considered in management and conservation plans of natural ecosystems, in the context of climate change and sustainable development policies.

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Section: Image Classification and Accuracy Assessmentmentioning

confidence: 99%

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

et al. 2020

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“…Geographic Information System (GIS) facilitates in the processing of SRTM DEM data used as input for rainfall runoff modeling in order to extract basin features for the Vamdsadhara River basin. Numerous researches have established that integrating GIS with HEC-GeoHMS enables the creation of a hydrological model [16,17,18]. Hydrological models provide a framework for forecasting and evaluating rainfall runoff processes.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of real-time flood forecast model for vamsadhara river through hydrological approach

Mahapatra¹,

Mahammood²,

Rao³

2021

IJATEE

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River floods are usually caused by a combination of wind-driven flood surges, low barometric pressure, and massive waves colliding with high upstream river flows. These floods are known to be the most devastating natural hazards. In India, wide sectoral and regional variables impact country climate change adaptability [1]. According to Markus et al. [2] climate change effects in the catchment, this change in climate is the leading cause of floods, mostly due to deforestation, urbanization, etc. *Author for correspondence Statistics suggest that floods account for almost 15% of all deaths from natural disasters and that the economic damages caused by floods have been seen to surpass billions of dollars worldwide, not just in developed countries in Asia but also in the countries of the European Union [3].The occurrence of catastrophic weather conditions in recent years has proven the need of realistic flood models, which function as early warning systems in severe storm situations, reducing economic damage. An early warning system comprises both structural and non-structural measures. While structural incorporates physical construction of embankments, canals, and so on, non structural initiatives include

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“…To identify and monitor the land use changes of the Al-Lith City during the period from 1998 to 2019, the ERDAS IMAGINE 2016 program was used. The process for monitoring these changes has four basic phases [31].…”

Section: Monitoring the Land Use Changes In The Al-lith City During The Period From 1988 To 2019mentioning

confidence: 99%

“…This program is used to map the spread of floods and calculate the risk of floods in threatened places. The applications of this program are used to calculate the rates of degradation and aggradation resulting from the flood water currents, and the twodimensional modelling from HEC-RAS [31] was employed to calculate the speed, depth, and spread of the Wadi Al-Lith flood. The construction of the two-dimensional hydraulic model was achieved using HEC-RAS with four stages: (a) Correction, or the addition of engineering data for transverse sections and hydraulic structures;…”

Section: Hydraulic Modellingmentioning

confidence: 99%

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Intergration Remote Sensing and Hydrologic, Hydroulic Modelling on Assessment Flood Risk and Mitigation: Al-Lith City, Ksa

Elkarim¹

2020

GEOMATE

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This study aims to evaluate and identify potential floods in coastal areas with simple slopes of the Al-Lith valley basin, and to identify urban areas exposed to flooding with flood water in the coastal city of Al-Lith during the period between 1988-2019 as a model for the coastal city of Saudi Arabia, and designing strategies to mitigate the effects of floods and the establishment of a Department of Urban Planning Flood Risk. These are very important things for political and planning decision-makers, as the city suffers from repeated exposure to the risk of floods as a result of its occurrence directly below the Al-Lith valley basin. In order to reach these goals, the (Light Detection and Ranging, Lidar) data was analyzed to build and develop a twodimensional model of the depth, speed and spread of water using a hydraulic model (Hydrologic Engineering Center-River Analysis System, HEC-RAS) to calculate the risk matrix of floods. Changes in Earth's use of the city of Al-Lith were monitored by analyzing consecutive satellite visualizations made by the American satellite Landsat in the years 1988, 2000, 2013, and 2019. The hydrological model (Hydrologic Engineering Center-Hydrologic Modelling System, HEC-HMS) was applied in calculating the floods hydrograph curve for the Al-Lith Valley basin during different return periods, and estimating the calculation of the amounts of flood water and flow rates depending on the (SCS Unit Hydrograph) method.

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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

Cited by 15 publications

References 63 publications

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

Development of real-time flood forecast model for vamsadhara river through hydrological approach

Intergration Remote Sensing and Hydrologic, Hydroulic Modelling on Assessment Flood Risk and Mitigation: Al-Lith City, Ksa

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