Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number method
Runoff assessment and estimation is crucial for watershed management as it provides information that is needed to expedite the course of watershed planning and development. The most commonly used model due to its simplicity and versatility in runoff estimation is the soil conservation service curve...
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GJESM Publisher
2020-07-01
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| Series: | Global Journal of Environmental Science and Management |
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| Online Access: | https://www.gjesm.net/article_38452_37e0e9c7eacd713475a9c4669705f8a5.pdf |
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| author | C.A. Odiji O.M. Aderoju M.C. Ekwe D.T. Oje J.O. Imhanfidon |
| author_facet | C.A. Odiji O.M. Aderoju M.C. Ekwe D.T. Oje J.O. Imhanfidon |
| author_sort | C.A. Odiji |
| collection | DOAJ |
| description | Runoff assessment and estimation is crucial for watershed management as it provides information that is needed to expedite the course of watershed planning and development. The most commonly used model due to its simplicity and versatility in runoff estimation is the soil conservation service curve number developed by the United States Department of Agriculture. The study estimates the surface runoff of Upper Benue watershed using a geospatial based soil conservation service curve number model. Datasets utilized for this purpose are; Rainfall, land use, digitial elevation model and FAO-Soil. The soil and land use data were intersected to create the curve number grid and database. The curve number grid combined with the mean annual rainfall data from 1990 – 2017 was used to estimate runoff. The result revealed that 61.5% of rainfall was direct runoff while 38.5% of the rainfall was retained by tree/plant cover and soil. The average curve number for the normal condition was calculated to be 80.1 while the dry and wet season was 59.6, and 93.2 respectively. The average runoff volume for 27 years was estimated to be 69,887.43mm3. A correlation coefficient of 0.79 was found for the relationship between rainfall and runoff. The research highlights the importance of geospatial technique when integrated with soil conservation service curve number to estimate runoff conditions in Upper Benue Watershed. |
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| id | doaj.art-b1ff269b94b042b5898f6f80c619acfb |
| institution | Directory Open Access Journal |
| issn | 2383-3572 2383-3866 |
| language | English |
| last_indexed | 2025-02-16T09:30:51Z |
| publishDate | 2020-07-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj.art-b1ff269b94b042b5898f6f80c619acfb2025-02-03T02:31:39ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662020-07-016341542810.22034/gjesm.2020.03.1038452Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number methodC.A. Odiji0O.M. Aderoju1M.C. Ekwe2D.T. Oje3J.O. Imhanfidon4Department of Strategic Space Application, National Space Research and Development Agency, Abuja, NigeriaDepartment of Geosciences, Environment and Spatial Planning, University of Porto, Porto, PortugalDepartment of Strategic Space Application, National Space Research and Development Agency, Abuja, NigeriaDepartment of Strategic Space Application, National Space Research and Development Agency, Abuja, NigeriaDepartment of Strategic Space Application, National Space Research and Development Agency, Abuja, NigeriaRunoff assessment and estimation is crucial for watershed management as it provides information that is needed to expedite the course of watershed planning and development. The most commonly used model due to its simplicity and versatility in runoff estimation is the soil conservation service curve number developed by the United States Department of Agriculture. The study estimates the surface runoff of Upper Benue watershed using a geospatial based soil conservation service curve number model. Datasets utilized for this purpose are; Rainfall, land use, digitial elevation model and FAO-Soil. The soil and land use data were intersected to create the curve number grid and database. The curve number grid combined with the mean annual rainfall data from 1990 – 2017 was used to estimate runoff. The result revealed that 61.5% of rainfall was direct runoff while 38.5% of the rainfall was retained by tree/plant cover and soil. The average curve number for the normal condition was calculated to be 80.1 while the dry and wet season was 59.6, and 93.2 respectively. The average runoff volume for 27 years was estimated to be 69,887.43mm3. A correlation coefficient of 0.79 was found for the relationship between rainfall and runoff. The research highlights the importance of geospatial technique when integrated with soil conservation service curve number to estimate runoff conditions in Upper Benue Watershed.https://www.gjesm.net/article_38452_37e0e9c7eacd713475a9c4669705f8a5.pdfantecedent moisture condition (amc)digitial elevation model (dem)harmonized soil group (hsg)runoffsoil conservation service curve number (scs cn)watershed |
| spellingShingle | C.A. Odiji O.M. Aderoju M.C. Ekwe D.T. Oje J.O. Imhanfidon Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number method Global Journal of Environmental Science and Management antecedent moisture condition (amc) digitial elevation model (dem) harmonized soil group (hsg) runoff soil conservation service curve number (scs cn) watershed |
| title | Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number method |
| title_full | Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number method |
| title_fullStr | Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number method |
| title_full_unstemmed | Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number method |
| title_short | Surface runoff estimation in an upper watershed using geo-spatial based soil conservation service-curve number method |
| title_sort | surface runoff estimation in an upper watershed using geo spatial based soil conservation service curve number method |
| topic | antecedent moisture condition (amc) digitial elevation model (dem) harmonized soil group (hsg) runoff soil conservation service curve number (scs cn) watershed |
| url | https://www.gjesm.net/article_38452_37e0e9c7eacd713475a9c4669705f8a5.pdf |
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