Runoff hazard analysis of Wadi Qena Watershed, Egypt based on GIS and remote sensing approach

Elsadek, Wael M.; Ibrahim, Mona G.; Mahmod, Wael Elham

doi:10.1016/j.aej.2019.02.001

Cited by 20 publications

(30 citation statements)

References 12 publications

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“…Elewa et al [22] have also introduced a detailed hydromorphometric analysis for the El-Arish watershed in the north and central Sinai to highlight the priority areas for runoff water harvesting (RWH) which means concentration, collection, storage and use of rainwater by runoff for various purposes such as domestic, animal and agricultural use. Moawad et al [23] and Elsadek et al [24][25][26] argue that given its history of flash floods, Wadi Qena should be considered a highrisk area in the Nile Valley in terms of flooding and economic losses and assess the susceptibility of Wadi Qina watershed sub-catchments based on morphological parameters. The potential damage due to flash floods in Wadi Qena involves cutting off main roads, breaking water pipelines, and lossing lives.…”

Section: Applied Environmental Researchmentioning

confidence: 99%

Flood Hazard Mapping and Assessment of Precipitation Monitoring System Using GIS-Based Morphometric Analysis and TRMM Data: A Case Study of the Wadi Qena Watershed, Egypt

2021

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Wadi Qena is one of the Nile Valley areas particularly at risk of severe flash flooding, located in Egypt. The study aims to verify TRMM rainfall data (TRMM 3B42), using eight stations across Egypt as well as relies on morphometric analysis to generate a flood risk map based on the ranking method. Three process could be recognized through the study, calibration, correction and verification processes. The results discuss the match daily rainfall trends of TRMM and observed data, producing a correction equation for TRMM data with root mean square error (RMSE) value of 0.837 mm d-1 and R2= 0.238 (calibration process). On the other hand, a verification process, using the developed correction equation, obtain RMSE value of 1.701 mm d-1 and R2= 0.601. The morphometric analysis shows 32 sub-basins with a hazard degree from moderate to high, amounting to 50.3% of the watershed area. Conclusively, this study confirms that the current monitoring system is not enough to cover the whole area, especially the high-risk sub-basins, and TRMM data could provide key information for water-related applications in Egypt.

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Section: Applied Environmental Researchmentioning

confidence: 99%

Flood Hazard Mapping and Assessment of Precipitation Monitoring System Using GIS-Based Morphometric Analysis and TRMM Data: A Case Study of the Wadi Qena Watershed, Egypt

2021

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“…Utlu & Özdemir (2018) explained the flood generation potential of the sub-basins of the Biga stream with basin morphometry. There are various studies conducted through the employment of drainage watershed morphometry based on DEM, orthophotos, different scale topographic maps, satellite images, and field measurement data using GIS to understand of the hydrological situation of the watershed concerning flood (Özdemir & Bird, 2009;Youssef et al, 2011;Poyraz et al 2011;Bhat et al, 2018;Hamdan & Khozyem, 2018;Bhat et al, 2019;Elsadek et al, 2019a;2019b;Shadmehri Toosi et al, 2019). Morphometric studies measure various river drainage watershed properties using several indices concerning linear, areal, and relief parameters that mainly involve many indices such as stream order-rank, watershed geometry, watershed relief properties, ruggedness number, form factor, drainage network, density, and texture, etc.…”

Section: Introductionmentioning

confidence: 99%

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

Utlu

Ghasemlounia

2021

Jeomorfolojik Araştırmalar Dergisi

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Drainage watershed morphometry plays a major role in terms of understanding flood dynamics. Flood potentials are explained considering the linear, areal, and relief morphometry features of the watersheds. In general, there are number of geomorphometric indices in the description of these features. The formal geometries, geomorphology, geology, and general climate characteristics, etc., which play a decisive role in the flood potential in the watershed, can be determined relatively with morphometric indices. In this study, 35 different river watersheds draining their waters to the Aras, located in the center of Iğdır Province, were examined. Geographic information systems (GIS) and statistical software were chosen to analyze and calculate indices for this research. Flood events occur in these 35 different river watersheds and this study evaluates river watersheds in terms of their flood potential using 14 different indices. In the evaluation of the results obtained, the values that have a high impact on the floods are ranked according to their priorities. These results were evaluated in terms of flood priorities using morphometric analysis and principal component analysis methods. Flood priorities of watersheds, obtained through two different methods, are classified as high, medium, or low priorities. The number of common watersheds, determined based on two different methods, is 8 in river watersheds with "high" priority, 11 in river watersheds with "medium" priority, and 7 in river watersheds with "low" priority. According to these results, it is seen that river watersheds with high priority flood potential correspond to the areas where flood events occurred.

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“…Besides, morphometric analysis of watershed includes the preparation of drainage map with the order of drainage streams, catchment area, and perimeter, stream order, and stream length (Alam et al, 2020;Charizopoulos et al, 2019). Three morphometric parameters such as basic parameters (Banerjee et al, 2017;Choudhari et al, 2018;Elsadek et al, 2019;Gajbhiye et al, 2014), linear parameters (Gajbhiye et al, 2014;Patel et al, 2012), and shape parameters (Ahmed et al, 2010;Gajbhiye et al, 2014;Panhalkar et al, 2012;Patel et al, 2012) are used to characterize the watershed. The basic parameters characterize the area, perimeter, basin length, stream order, stream length, maximum and minimum height, and slope.…”

Section: Introductionmentioning

confidence: 99%

“…RS data offer accurate, timely, and real-time information about specific aspects such as watershed size and form, soil distribution, drainage characteristics, etc (Suresh et al, 2004). Elsadek. W. M. et al, 2019 have analyzed the morphometric characteristics to estimate the flood risk hazards of sub-watersheds using morphometric analysis in Qena watersheds.…”

Section: Introductionmentioning

confidence: 99%

“…In their research, the shuttle radar topography mission (STRM) data are used to analyze the topography, modeling of surface processes, and flood risk zone. The calculation of hydrological parameters, extraction of topography map, drainage network, and the direction of the flow of floods are analyzed by GIS techniques (Elsadek et al, 2019). Choudhari, P. P. et al, 2018 have analyzed the morphometric parameters and prioritization of sub-watersheds for groundwater potential and conservation structures for a watershed of the Mula river basin in the Puna district of Maharashtra, India.…”

Section: Introductionmentioning

confidence: 99%

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Geographical Information System Approach to Delineate the Watershed’s Morphometric Parameters for Sustainable Hydrological Modeling of Barind Region, Bangladesh

Rahman¹,

Sazzad

Rupom

2021

MIST International Journal of Science and Technology

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Water is an important resource of the earth’s surface and it is integral for all on this planet. The availability or the scarcity of water depends on the watershed characterizes that consider the basic, linear, and shape parameters of any waterbody. The objective of the study was to delineate 14 morphometric parameters in the Barind region (Dinajpur district, Bangladesh) for sustainable hydrological modeling. An ASTER-DEM of 30-meter resolution data, geographical information system (GIS), and Remote sensing technique were used for extracting drainage components of interest region. The whole study region was covered by the flow of the Purnovoba river, Jamuna river, Atrai river (part-1 and part-2). Research results found that the Purnovoba river had a high bifurcation ratio (0.9982) that defined hydrologically more disturbed than the other three watershed areas and it had a high stream frequency (0.8332) that denoted rocky having low infiltration capacity. Jamuna river had a low drainage density (0.7322) that defined more vegetation having higher permeability. Besides, the Jamuna river had the lowest no. of stream order that was insignificant in the steady runoff process and less prone to cause a flash flood. The research predicted that the availability of groundwater might decrease to Jamuna river in the future as it had the lowest basin area (217.42 sqr. km ) and perimeter (114.90 km) and the basin surface slope would become gentle to Atrai river part-1 for the lowest length of overland flow (0.6072). Purnovoba river experienced the lowest form factor (0.2351) which indicated the most possibility for erosion. The elongated ratio of all basins was greater than 0.5 which considered all the shapes were more elongated. These findings will help for further modeling of an integrated watershed for sustainable hydrological models in the Barind region.

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Runoff hazard analysis of Wadi Qena Watershed, Egypt based on GIS and remote sensing approach

Cited by 20 publications

References 12 publications

Flood Hazard Mapping and Assessment of Precipitation Monitoring System Using GIS-Based Morphometric Analysis and TRMM Data: A Case Study of the Wadi Qena Watershed, Egypt

Flood Hazard Mapping and Assessment of Precipitation Monitoring System Using GIS-Based Morphometric Analysis and TRMM Data: A Case Study of the Wadi Qena Watershed, Egypt

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

Geographical Information System Approach to Delineate the Watershed’s Morphometric Parameters for Sustainable Hydrological Modeling of Barind Region, Bangladesh

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