Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed
The Momentum and Aron & White evaluating methods have been adopted to estimate the Nash Instantaneous Hydrograph parameters (IUH), while the two methods of excess rainfall (Ф-index and Natural Resources Conservation Service (NRCS) were applied in a model using a developed computer program in MA...
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| Format: | Article |
| Language: | English |
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Tikrit University
2023-05-01
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| Series: | Tikrit Journal of Engineering Sciences |
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| Online Access: | https://tj-es.com/ojs/index.php/tjes/article/view/992 |
| _version_ | 1797782384968466432 |
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| author | Khalid Mahmoud Khidir |
| author_facet | Khalid Mahmoud Khidir |
| author_sort | Khalid Mahmoud Khidir |
| collection | DOAJ |
| description |
The Momentum and Aron & White evaluating methods have been adopted to estimate the Nash Instantaneous Hydrograph parameters (IUH), while the two methods of excess rainfall (Ф-index and Natural Resources Conservation Service (NRCS) were applied in a model using a developed computer program in MATLAB to predict the direct runoff hydrograph for Goizha-Dabashan watershed located in the northeast of Iraq. In the verification stage, both Nash IUH optimal parameters of the storms and the average optimal values of the same parameters estimated in the calibration stage were applied and compared. The statistical tests showed a preference for the NRCS method with the momentum method in estimating direct runoff hydrograph (the average Nash-Sutcliffe Efficiency (NSE) was equal to 0.815 and 0.77 using optimal parameters verification storms and the average calibrated IUH parameters values, respectively). Also, satisfactory results (NSE was equal to 0.77 and 0.76 using storm parameters and the average calibrated IUH parameters values, respectively) were obtained by applying Aron & White with the NRCS methods, which indicated the ability of both methods for estimating direct runoff hydrograph.
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| first_indexed | 2024-03-13T00:10:13Z |
| format | Article |
| id | doaj.art-fc0f5af53861488986b34683c4b54b5a |
| institution | Directory Open Access Journal |
| issn | 1813-162X 2312-7589 |
| language | English |
| last_indexed | 2024-03-13T00:10:13Z |
| publishDate | 2023-05-01 |
| publisher | Tikrit University |
| record_format | Article |
| series | Tikrit Journal of Engineering Sciences |
| spelling | doaj.art-fc0f5af53861488986b34683c4b54b5a2023-07-12T19:21:41ZengTikrit UniversityTikrit Journal of Engineering Sciences1813-162X2312-75892023-05-0130210.25130/tjes.30.2.8Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan WatershedKhalid Mahmoud Khidir0Water Resources Engineering Department, College of Engineering, University of Duhok, Kurdistan Region, Iraq. The Momentum and Aron & White evaluating methods have been adopted to estimate the Nash Instantaneous Hydrograph parameters (IUH), while the two methods of excess rainfall (Ф-index and Natural Resources Conservation Service (NRCS) were applied in a model using a developed computer program in MATLAB to predict the direct runoff hydrograph for Goizha-Dabashan watershed located in the northeast of Iraq. In the verification stage, both Nash IUH optimal parameters of the storms and the average optimal values of the same parameters estimated in the calibration stage were applied and compared. The statistical tests showed a preference for the NRCS method with the momentum method in estimating direct runoff hydrograph (the average Nash-Sutcliffe Efficiency (NSE) was equal to 0.815 and 0.77 using optimal parameters verification storms and the average calibrated IUH parameters values, respectively). Also, satisfactory results (NSE was equal to 0.77 and 0.76 using storm parameters and the average calibrated IUH parameters values, respectively) were obtained by applying Aron & White with the NRCS methods, which indicated the ability of both methods for estimating direct runoff hydrograph. https://tj-es.com/ojs/index.php/tjes/article/view/992Direct RunoffExcess RainfallNash Instantaneous Unit HydrographWatershed |
| spellingShingle | Khalid Mahmoud Khidir Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed Tikrit Journal of Engineering Sciences Direct Runoff Excess Rainfall Nash Instantaneous Unit Hydrograph Watershed |
| title | Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed |
| title_full | Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed |
| title_fullStr | Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed |
| title_full_unstemmed | Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed |
| title_short | Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed |
| title_sort | evaluation of the storms direct runoff prediction methods used for goizha dabashan watershed |
| topic | Direct Runoff Excess Rainfall Nash Instantaneous Unit Hydrograph Watershed |
| url | https://tj-es.com/ojs/index.php/tjes/article/view/992 |
| work_keys_str_mv | AT khalidmahmoudkhidir evaluationofthestormsdirectrunoffpredictionmethodsusedforgoizhadabashanwatershed |