Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/19475705.2022.2080005 |
Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins | |
Niyazi, Burhan; Khan, Abdul A.; Masoud, Milad; Elfeki, Amro; Basahi, Jalal; Zaidi, Syed | |
通讯作者 | Masoud, M |
来源期刊 | GEOMATICS NATURAL HAZARDS & RISK
![]() |
ISSN | 1947-5705 |
EISSN | 1947-5713 |
出版年 | 2022 |
卷号 | 13期号:1页码:1482-1509 |
英文摘要 | The use of the soil conservation service (SCS) curve number (CN) model for estimation of the rainfall excess and the SCS-unit hydrograph (UH) model are common tools for flood studies in arid regions. In this research, we are investigating the capability of these models to simulate flood events in the arid region under the common parametrization provided by the SCS model (SCS-CN, the initial abstraction ratio, lambda, and UH theory) and the optimum parameterization for best simulating the hydrologic response. A case study is performed in Al-Lith basin in the west of Saudi Arabia (SA). The study simulates measured rainfall-runoff events in the area using seven scenarios (various SCS-CN estimation methods: least-squares method (CNLSM), asymptotic fitting method (CN infinity), SCS-CN tables (CNdesign), and antecedent moisture content CN (CNI, CNII, and CNIII), lambda = 0.2 and 0.01, and SCS-UH and UH derived from streamflow data) and a comparison is made between the observations and model results under the common parameterization of the SCS model and parameterization estimated from the Saudi arid environment. The comparison between simulated and observed peak flow and runoff volume of the studied events shows high scatter which is a common feature in arid regions due to the inherent uncertainties in the hydrological processes which are not yet resolved due to the lack of detailed measurements of the rainfall-runoff processes. Statistical analysis showed that lambda = 0.01 provides a minimum root mean square error (RMSE) in the peak flow (24.8 m(3)/s) and the runoff volume (0.31 million m(3)) with CNLSM obtained by LSM. CN infinity is bad to simulate the hydrologic response. The SCS-CN Tables cannot be used for hydrological simulation. They can rather be used for the design purposes of mitigation structures. |
英文关键词 | Rainfall-runoff modeling SCS-CN method unit hydrograph theory arid zone hydrology Al-Lith basin Saudi Arabia |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000809651700001 |
WOS关键词 | RUNOFF CURVE NUMBERS ; RAINFALL-RUNOFF ; FLOOD |
WOS类目 | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/392939 |
推荐引用方式 GB/T 7714 | Niyazi, Burhan,Khan, Abdul A.,Masoud, Milad,et al. Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins[J],2022,13(1):1482-1509. |
APA | Niyazi, Burhan,Khan, Abdul A.,Masoud, Milad,Elfeki, Amro,Basahi, Jalal,&Zaidi, Syed.(2022).Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins.GEOMATICS NATURAL HAZARDS & RISK,13(1),1482-1509. |
MLA | Niyazi, Burhan,et al."Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins".GEOMATICS NATURAL HAZARDS & RISK 13.1(2022):1482-1509. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。