Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins
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 th...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
|
| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2022.2080005 |
| _version_ | 1811248124790833152 |
|---|---|
| author | Burhan Niyazi Abdul A. Khan Milad Masoud Amro Elfeki Jalal Basahi Syed Zaidi |
| author_facet | Burhan Niyazi Abdul A. Khan Milad Masoud Amro Elfeki Jalal Basahi Syed Zaidi |
| author_sort | Burhan Niyazi |
| collection | DOAJ |
| description | 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, λ, 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∞), SCS-CN tables (CNdesign), and antecedent moisture content CN (CNI, CNII, and CNIII), λ = 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 λ = 0.01 provides a minimum root mean square error (RMSE) in the peak flow (24.8 m3/s) and the runoff volume (0.31 million m3) with CNLSM obtained by LSM. CN∞ 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. |
| first_indexed | 2024-04-12T15:22:37Z |
| format | Article |
| id | doaj.art-422c358d81c24728a7932d05abe961c6 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-04-12T15:22:37Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-422c358d81c24728a7932d05abe961c62022-12-22T03:27:23ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132022-12-011311482150910.1080/19475705.2022.2080005Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basinsBurhan Niyazi0Abdul A. Khan1Milad Masoud2Amro Elfeki3Jalal Basahi4Syed Zaidi5Water Research Center, King Abdulaziz University, Jeddah, Kingdom of Saudi ArabiaGlenn Department of Civil Engineering, Clemson University- Lowry Hall, Clemson, SC, USAWater Research Center, King Abdulaziz University, Jeddah, Kingdom of Saudi ArabiaDepartment of Hydrology and Water Resources Management – Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University, Jeddah, Kingdom of Saudi ArabiaDepartment of Hydrology and Water Resources Management – Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University, Jeddah, Kingdom of Saudi ArabiaWater Research Center, King Abdulaziz University, Jeddah, Kingdom of Saudi ArabiaThe 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, λ, 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∞), SCS-CN tables (CNdesign), and antecedent moisture content CN (CNI, CNII, and CNIII), λ = 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 λ = 0.01 provides a minimum root mean square error (RMSE) in the peak flow (24.8 m3/s) and the runoff volume (0.31 million m3) with CNLSM obtained by LSM. CN∞ 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.https://www.tandfonline.com/doi/10.1080/19475705.2022.2080005Rainfall-runoff modelingSCS-CN methodunit hydrograph theoryarid zone hydrologyAl-Lith basinSaudi Arabia |
| spellingShingle | Burhan Niyazi Abdul A. Khan Milad Masoud Amro Elfeki Jalal Basahi Syed Zaidi Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins Geomatics, Natural Hazards & Risk Rainfall-runoff modeling SCS-CN method unit hydrograph theory arid zone hydrology Al-Lith basin Saudi Arabia |
| title | Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins |
| title_full | Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins |
| title_fullStr | Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins |
| title_full_unstemmed | Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins |
| title_short | Optimum parametrization of the soil conservation service (SCS) method for simulating the hydrological response in arid basins |
| title_sort | optimum parametrization of the soil conservation service scs method for simulating the hydrological response in arid basins |
| topic | Rainfall-runoff modeling SCS-CN method unit hydrograph theory arid zone hydrology Al-Lith basin Saudi Arabia |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2022.2080005 |
| work_keys_str_mv | AT burhanniyazi optimumparametrizationofthesoilconservationservicescsmethodforsimulatingthehydrologicalresponseinaridbasins AT abdulakhan optimumparametrizationofthesoilconservationservicescsmethodforsimulatingthehydrologicalresponseinaridbasins AT miladmasoud optimumparametrizationofthesoilconservationservicescsmethodforsimulatingthehydrologicalresponseinaridbasins AT amroelfeki optimumparametrizationofthesoilconservationservicescsmethodforsimulatingthehydrologicalresponseinaridbasins AT jalalbasahi optimumparametrizationofthesoilconservationservicescsmethodforsimulatingthehydrologicalresponseinaridbasins AT syedzaidi optimumparametrizationofthesoilconservationservicescsmethodforsimulatingthehydrologicalresponseinaridbasins |