Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.5004/dwt.2020.25512 |
Automatic calibration of arid rainfall-runoff model for Wadi Thara Western Kingdom of Saudi Arabia | |
Alahmadi, Fahad S. | |
通讯作者 | Alahmadi, Fahad S. |
来源期刊 | DESALINATION AND WATER TREATMENT
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ISSN | 1944-3994 |
EISSN | 1944-3986 |
出版年 | 2020 |
卷号 | 176页码:155-163 |
英文摘要 | Input parameter calibration to rainfall-runoff models is the most critical stage of the overall flood modeling processes, where the input parameters values are adjusted to make the simulated flood hydrographs fit the corresponding records. Wadi Thara (275 km(2)) in the Western Kingdom of Saudi Arabia (KSA) is selected and hourly rainfall data are extracted from the paper charts. Five-minute observed runoffs are analysed and ASTER Digital Elevation Model (DEM) with 30-m pixel size is processed to compute automatically the morphometric parameters and to extract the geometric features of the catchment. hydrological soil group map and land cover/land use (LCLU) map are developed to estimate the excess rainfall using composite SCS curve number (SCS-CN). Clark unit hydrograph (Clark-UH) time of concentration approach is used to transform the excess rainfall to flood hydrograph. Four parameters are chosen for calibration, which are SCS-CN, initial abstraction (I-a), Clark-UH time of concentration (T-c) and Clark storage coefficient (R). Nine observed runoff events are selected for modeling; seven different events are chosen for parameter calibration and two for parameter validation. This study focuses on calibrating the peak flow only, which is one of the most critical hydrograph characteristics in rainfall-runoff modeling in arid regions. Calibration process produced exact peak flow for five out of seven events and one event with very close match (-2.6% of change). On the average parameters, calibrations for SCS-CN, I-a, T-c and R are 81.6, 11.0 mm, 3.81 h and 1.88 h, respectively, where R is the most highly variable parameter with 139% coefficient of variation. The reason behind this variation may be because of the local search algorithms usage, which produce local minimum objective function and assign optimized value to the parameter that is not in existence, also the selected hydrological methods are lumped, where the spatial rainfall variation and the other input parameters are not taken into consideration. In the validation process, the four average calibrated parameters are used to validate two events, the first event produced a peak flow with -50% change, which can be considered as relatively high, while the second event resulted in a peak flow with -6.0% change). The value of calibrated parameters is very valuable and can be used in the future for the same and similar catchments. More optimization module applications may be needed with global search algorithm and multiple objective functions to enhance the estimated parameters in future studies. |
英文关键词 | Automatic calibration Parameter optimization Rainfall runoff model Arid regions Kingdom of Saudi Arabia Wadi Thara |
类型 | Article ; Proceedings Paper |
语种 | 英语 |
国家 | Saudi Arabia |
收录类别 | SCI-E |
WOS记录号 | WOS:000544992300024 |
WOS类目 | Engineering, Chemical ; Water Resources |
WOS研究方向 | Engineering ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/319469 |
作者单位 | Almadinah Almunawwarah, Minist Environm Water & Agr, Medina, Saudi Arabia |
推荐引用方式 GB/T 7714 | Alahmadi, Fahad S.. Automatic calibration of arid rainfall-runoff model for Wadi Thara Western Kingdom of Saudi Arabia[J],2020,176:155-163. |
APA | Alahmadi, Fahad S..(2020).Automatic calibration of arid rainfall-runoff model for Wadi Thara Western Kingdom of Saudi Arabia.DESALINATION AND WATER TREATMENT,176,155-163. |
MLA | Alahmadi, Fahad S.."Automatic calibration of arid rainfall-runoff model for Wadi Thara Western Kingdom of Saudi Arabia".DESALINATION AND WATER TREATMENT 176(2020):155-163. |
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