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This study aims to estimate the runoff volume by analyzing satellite data and Digital Elevation Model (DEM) data utilizing a set of software tools such as (ArcHydro Tool, ArcGIS) to excerpt hydrological and morphological characteristics of Wadi Al Arab Dam basin with an area of 266 km2 in Jordan. Natural data “soil and land use” were analyzed and defined by the curve number (CN) method with geographic information systems (GIS). The novelty of this study lies in the application of high-resolution DEMs combined with advanced GIS techniques to achieve more precise elevation mapping and hydrological flow assessments, which were previously less accurate in similar studies. Moreover, it highlights runoff concentration time and the minimal dissection of the basin, providing a better understanding of flood potential and geomorphological traits in arid regions. This fills a gap in quantifying basin hydrodynamics compared to previous studies. Results found that the total CN for the basin was 86.5. The drainage density of the basin was found to be 4.39 × 10-5 m/m2, indicating less impact from erosion factors and less dissection. The concentration time of the basin was approximately 65.69 minutes, increasing the possibility of high flood potential due to the short distance traveled by the runoff. The relief ratio was found to be low at 0.018, indicating minimal dissection and runoff in the basin. We recommended the urgent adoption of high-accuracy digital data sources due to the precision they offer when conducting quantitative measurements.
Wydawca
Rocznik
Tom
Strony
165--179
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
- Faculty of Sciences, Department of Geology, Université Ibn Tofail, Kénitra 14000, Morocco
autor
- Department of Geographic Information Systems and Remote Sensing, Faculty of Earth and Environmental Sciences, Al Al-Bayt University, Jordan
autor
- Faculty of Sciences, Department of Geology, Université Ibn Tofail, Kénitra 14000, Morocco
autor
- Faculty of Sciences, Department of Geology, Université Ibn Tofail, Kénitra 14000, Morocco
Bibliografia
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- 16. Kumar V, Sharma KV, Caloiero T, Mehta DJ, Singh K. 2023. Comprehensive overview of flood modeling approaches: A review of recent advances. Hydrology 10(7): 141.
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- 18. Li X, Yan D, Wang K, Weng B, Qin T, Liu S. 2019. Flood risk assessment of global watersheds based on multiple machine learning models. Water 11(8): 1654.
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- 25. Shafapour Tehrany M, Shabani F, Neamah Jebur M, Hong H, Chen W, Xie X. 2017. GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques. Geomatics, Natural Hazards and Risk 8(2): 1538–1561.
- 26. Shatnawi A, Ibrahim M. 2022. Derivation of flood hydrographs using SCS synthetic unit hydrograph technique for Housha catchment area. Water Supply 22(5): 4888–4901.
- 27. Shawky M, Moussa A, Hassan QK, El-Sheimy N. 2019. Pixel-based geometric assessment of channel networks/orders derived from global spaceborne digital elevation models. Remote Sensing 11(3): 235.
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- 29. Thakur JK, Singh SK, Ekanthalu VS. 2017. Integrating remote sensing, geographic information systems and global positioning system techniques with hydrological modeling. Applied Water Science 7(4): 1595–1608.
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- 31. Weifeng X, Jun L, Dailiang P, Jinge J, Hongxuan X, Hongyue Y, Jun Y. 2024. Multi-source DEM accuracy evaluation based on ICESat-2 in Qinghai-Tibet Plateau, China. International Journal of Digital Earth 17(1): 2297843.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-17e0a2ef-15a4-48f0-aa50-1c721184a1fd
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