ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHM
Simulation of rainfall-runoff process is one of the most important research fields in hydrology and water resources. Generally, the models used in this section are divided into two conceptual and data-driven categories. In this study, a conceptual model and two data-driven models have been used to s...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2015-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/529/2015/isprsarchives-XL-1-W5-529-2015.pdf |
| _version_ | 1818438348834865152 |
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| author | A. R. Nemati M. Zakeri Niri S. Moazami |
| author_facet | A. R. Nemati M. Zakeri Niri S. Moazami |
| author_sort | A. R. Nemati |
| collection | DOAJ |
| description | Simulation of rainfall-runoff process is one of the most important research fields in hydrology and water resources. Generally, the models used in this section are divided into two conceptual and data-driven categories. In this study, a conceptual model and two data-driven models have been used to simulate rainfall-runoff process in Tamer sub-catchment located in Gorganroud watershed in Iran. The conceptual model used is HEC-HMS, and data-driven models are neural network model of multi-layer Perceptron (MLP) and support vector regression (SVR). In addition to simulation of rainfall-runoff process using the recorded land precipitation, the performance of four satellite algorithms of precipitation, that is, CMORPH, PERSIANN, TRMM 3B42 and TRMM 3B42RT were studied. In simulation of rainfall-runoff process, calibration and accuracy of the models were done based on satellite data. The results of the research based on three criteria of correlation coefficient (R), root mean square error (RMSE) and mean absolute error (MAE) showed that in this part the two models of SVR and MLP could perform the simulation of runoff in a relatively appropriate way, but in simulation of the maximum values of the flow, the error of models increased. |
| first_indexed | 2024-12-14T17:39:09Z |
| format | Article |
| id | doaj.art-ef5e9effd9454667a1e102b8b751dcf5 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-14T17:39:09Z |
| publishDate | 2015-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-ef5e9effd9454667a1e102b8b751dcf52022-12-21T22:52:53ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-12-01XL-1-W552954110.5194/isprsarchives-XL-1-W5-529-2015ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHMA. R. Nemati0M. Zakeri Niri1S. Moazami2Young Researchers and Elite Club, Islamshahr Branch, Islamic Azad University, Islamshahr, IranYoung Researchers and Elite Club, Islamshahr Branch, Islamic Azad University, Islamshahr, IranDepartment of Civil Engineering, Islamshahr branch, Islamic Azad University, Islamshahr, IranSimulation of rainfall-runoff process is one of the most important research fields in hydrology and water resources. Generally, the models used in this section are divided into two conceptual and data-driven categories. In this study, a conceptual model and two data-driven models have been used to simulate rainfall-runoff process in Tamer sub-catchment located in Gorganroud watershed in Iran. The conceptual model used is HEC-HMS, and data-driven models are neural network model of multi-layer Perceptron (MLP) and support vector regression (SVR). In addition to simulation of rainfall-runoff process using the recorded land precipitation, the performance of four satellite algorithms of precipitation, that is, CMORPH, PERSIANN, TRMM 3B42 and TRMM 3B42RT were studied. In simulation of rainfall-runoff process, calibration and accuracy of the models were done based on satellite data. The results of the research based on three criteria of correlation coefficient (R), root mean square error (RMSE) and mean absolute error (MAE) showed that in this part the two models of SVR and MLP could perform the simulation of runoff in a relatively appropriate way, but in simulation of the maximum values of the flow, the error of models increased.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/529/2015/isprsarchives-XL-1-W5-529-2015.pdf |
| spellingShingle | A. R. Nemati M. Zakeri Niri S. Moazami ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHM The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHM |
| title_full | ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHM |
| title_fullStr | ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHM |
| title_full_unstemmed | ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHM |
| title_short | ASSESSMENT OF RAINFALL-RUNOFF SIMULATION MODEL BASED ON SATELLITE ALGORITHM |
| title_sort | assessment of rainfall runoff simulation model based on satellite algorithm |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/529/2015/isprsarchives-XL-1-W5-529-2015.pdf |
| work_keys_str_mv | AT arnemati assessmentofrainfallrunoffsimulationmodelbasedonsatellitealgorithm AT mzakeriniri assessmentofrainfallrunoffsimulationmodelbasedonsatellitealgorithm AT smoazami assessmentofrainfallrunoffsimulationmodelbasedonsatellitealgorithm |