Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin
Study region: The Nile River Basin Study focus: The lack of observed streamflow data at a short time scale poses a critical challenge for calibrating and validating hydrologic models. Therefore, many disaggregation methods were developed, resulting in various relative performances without a clear in...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581824003185 |
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| author | Mohamed Refaat Elgendy Paulin Coulibaly Sonia Hassini Wael El-Dakhakhni Yasser Elsaie Mesfin Benti Tolera Samuel Dagalo Hatiye Mekonen Ayana |
| author_facet | Mohamed Refaat Elgendy Paulin Coulibaly Sonia Hassini Wael El-Dakhakhni Yasser Elsaie Mesfin Benti Tolera Samuel Dagalo Hatiye Mekonen Ayana |
| author_sort | Mohamed Refaat Elgendy |
| collection | DOAJ |
| description | Study region: The Nile River Basin Study focus: The lack of observed streamflow data at a short time scale poses a critical challenge for calibrating and validating hydrologic models. Therefore, many disaggregation methods were developed, resulting in various relative performances without a clear indication of the optimal choice. This study aims to iteratively assess eight monthly to daily streamflow disaggregation methods at 21 major subbasin outlets in the Nile River Basin (NRB) to identify the best-performing ones. These methods include one proportionality method and seven interpolation methods, i.e., linear, 2nd-order spline, 3rd-order spline, Piecewise Cubic Hermite Interpolating Polynomial (Pchip), Modified Akima (MAkima), mean preserved 2nd-order spline, and mean preserved 3rd-order spline. We assessed these methods using three metrics and visual investigations. New hydrologic insights for the region: The results showed that the interpolation methods performed well, better than the proportionality method. However, their performances decreased at stations with high daily streamflow fluctuations. The interpolation methods’ performances were similar in mimicking the daily values but significantly different in preserving the mass balance. The mean preserving 3rd-order interpolation method (Lai 22) was the best in preserving the mass balance and capturing the low, moderate and high flows and, therefore, selected to generate the daily flow data in the NRB. The results of this study can guide a reliable method for obtaining daily streamflow data, which is important for the hydrologic and water management studies in the NRB. |
| format | Article |
| id | doaj-art-3ce6e0d24e6543628a18e0a64a6ea07c |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-3ce6e0d24e6543628a18e0a64a6ea07c2024-12-08T06:10:22ZengElsevierJournal of Hydrology: Regional Studies2214-58182024-12-0156101969Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River BasinMohamed Refaat Elgendy0Paulin Coulibaly1Sonia Hassini2Wael El-Dakhakhni3Yasser Elsaie4Mesfin Benti Tolera5Samuel Dagalo Hatiye6Mekonen Ayana7Dept. of Civil Engineering, McMaster Univ., Hamilton, ON L8S 4L7, Canada; Corresponding author.Dept. of Civil Engineering and School of Earth, Environment & Society, McMaster Univ., Hamilton, ON L8S 4L7, Canada; United Nations University Institute for Water, Environment, and Health, Hamilton, ON L8P 0A1, CanadaDept. of Civil Engineering, McMaster Univ., Hamilton, ON L8S 4L7, CanadaDept. of Department of Civil Engineering, McMaster University, Hamilton, ON, Canada; School of Computational Science & Engineering, McMaster University, Hamilton, ON, CanadaCivil Engineering Department, The Higher Institute of Engineering, Shorouk Academy, EgyptAdama Science and Technology University, Adama, EthiopiaFaculty of Water Resources and Irrigation Engineering, Arba Minch Water Technology Institute, Arba Minch University, Arba Minch, EthiopiaAdama Science and Technology University, Adama, EthiopiaStudy region: The Nile River Basin Study focus: The lack of observed streamflow data at a short time scale poses a critical challenge for calibrating and validating hydrologic models. Therefore, many disaggregation methods were developed, resulting in various relative performances without a clear indication of the optimal choice. This study aims to iteratively assess eight monthly to daily streamflow disaggregation methods at 21 major subbasin outlets in the Nile River Basin (NRB) to identify the best-performing ones. These methods include one proportionality method and seven interpolation methods, i.e., linear, 2nd-order spline, 3rd-order spline, Piecewise Cubic Hermite Interpolating Polynomial (Pchip), Modified Akima (MAkima), mean preserved 2nd-order spline, and mean preserved 3rd-order spline. We assessed these methods using three metrics and visual investigations. New hydrologic insights for the region: The results showed that the interpolation methods performed well, better than the proportionality method. However, their performances decreased at stations with high daily streamflow fluctuations. The interpolation methods’ performances were similar in mimicking the daily values but significantly different in preserving the mass balance. The mean preserving 3rd-order interpolation method (Lai 22) was the best in preserving the mass balance and capturing the low, moderate and high flows and, therefore, selected to generate the daily flow data in the NRB. The results of this study can guide a reliable method for obtaining daily streamflow data, which is important for the hydrologic and water management studies in the NRB.http://www.sciencedirect.com/science/article/pii/S2214581824003185Nile River BasinMonthly streamflow disaggregationData interpolationData processingHydrologyWater management |
| spellingShingle | Mohamed Refaat Elgendy Paulin Coulibaly Sonia Hassini Wael El-Dakhakhni Yasser Elsaie Mesfin Benti Tolera Samuel Dagalo Hatiye Mekonen Ayana Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin Journal of Hydrology: Regional Studies Nile River Basin Monthly streamflow disaggregation Data interpolation Data processing Hydrology Water management |
| title | Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin |
| title_full | Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin |
| title_fullStr | Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin |
| title_full_unstemmed | Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin |
| title_short | Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin |
| title_sort | assessment of monthly to daily streamflow disaggregation methods a case study of the nile river basin |
| topic | Nile River Basin Monthly streamflow disaggregation Data interpolation Data processing Hydrology Water management |
| url | http://www.sciencedirect.com/science/article/pii/S2214581824003185 |
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