Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed
<strong>BACKGROUND AND OBJECTIVES: </strong>The study explored the capability of the geographic information system interface for the water erosion prediction project, a process-based model, to predict and visualize the specific location of soil erosion and sediment yield from the agricul...
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2021-01-01
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| Series: | Global Journal of Environmental Science and Management |
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| author | G.R. Puno R.A. Marin R.C.C. Puno A.G. Toledo-Bruno |
| author_facet | G.R. Puno R.A. Marin R.C.C. Puno A.G. Toledo-Bruno |
| author_sort | G.R. Puno |
| collection | DOAJ |
| description | <strong>BACKGROUND AND OBJECTIVES: </strong>The study explored the capability of the geographic information system interface for the water erosion prediction project, a process-based model, to predict and visualize the specific location of soil erosion and sediment yield from the agricultural watershed of Taganibong.<br /> <strong>METHODS:</strong> The method involved the preparation of the four input files corresponding to climate, slope, land management, and soil properties. Climate file processing was through the use of a breakpoint climate data generator. The team had calibrated and validated the model using the observed data from the three monitoring sites.<br /> <strong>FINDINGS:</strong> Model evaluation showed a statistically acceptable performance with coefficient of determination values of 0.64 (probability value = 0.042), 0.85 (probability value = 0.000), and 0.69 (probability value = 0.001) at 95% level, for monitoring sites 1, 2, and 3, respectively. A further test revealed a statistically satisfactory model performance with root mean square error-observations standard deviation ratio, Nash-Sutcliffe efficiency, and percent bias of 0.62, 0.61, and 44.30, respectively, for monitoring site 1; 0.65, 0.56, and 25.60, respectively, for monitoring site 2; and 0.60, 0.65, and 27.90, respectively, for monitoring site 3. At a watershed scale, the model predicted the erosion and sediment yield at 89 tons per hectare per year and 22 tons per hectare per year, respectively, which are far beyond the erosion tolerance of 10 tons per hectare per year. The sediment delivery ratio of 0.20 accounts for a total of 126,390 tons of sediments that accumulated downstream in a year.<br /> <strong>CONCLUSION:</strong> The model generated maps that visualize a site-specific hillslope, which is the source of erosion and sedimentation. The study enables the researchers to provide information helpful in the formulation of a sound policy statement for sustainable soil management in the agricultural watershed of Taganibong. |
| format | Article |
| id | doaj-art-5422b991d97d4374b16d7be9cf8e2262 |
| institution | Kabale University |
| issn | 2383-3572 2383-3866 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj-art-5422b991d97d4374b16d7be9cf8e22622025-02-02T01:13:26ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662021-01-017111410.22034/gjesm.2021.01.0140280Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershedG.R. Puno0R.A. Marin1R.C.C. Puno2A.G. Toledo-Bruno3Department of Forest Resources Management, College of Forestry and Environmental Science, Central Mindanao University, Musuan, Maramag, PhilippinesDepartment of Forest Resources Management, College of Forestry and Environmental Science, Central Mindanao University, Musuan, Maramag, PhilippinesDepartment of Environmental Science, College of Forestry and Environmental Science, Central Mindanao University, Musuan, Maramag, PhilippinesDepartment of Environmental Science, College of Forestry and Environmental Science, Central Mindanao University, Musuan, Maramag, Philippines<strong>BACKGROUND AND OBJECTIVES: </strong>The study explored the capability of the geographic information system interface for the water erosion prediction project, a process-based model, to predict and visualize the specific location of soil erosion and sediment yield from the agricultural watershed of Taganibong.<br /> <strong>METHODS:</strong> The method involved the preparation of the four input files corresponding to climate, slope, land management, and soil properties. Climate file processing was through the use of a breakpoint climate data generator. The team had calibrated and validated the model using the observed data from the three monitoring sites.<br /> <strong>FINDINGS:</strong> Model evaluation showed a statistically acceptable performance with coefficient of determination values of 0.64 (probability value = 0.042), 0.85 (probability value = 0.000), and 0.69 (probability value = 0.001) at 95% level, for monitoring sites 1, 2, and 3, respectively. A further test revealed a statistically satisfactory model performance with root mean square error-observations standard deviation ratio, Nash-Sutcliffe efficiency, and percent bias of 0.62, 0.61, and 44.30, respectively, for monitoring site 1; 0.65, 0.56, and 25.60, respectively, for monitoring site 2; and 0.60, 0.65, and 27.90, respectively, for monitoring site 3. At a watershed scale, the model predicted the erosion and sediment yield at 89 tons per hectare per year and 22 tons per hectare per year, respectively, which are far beyond the erosion tolerance of 10 tons per hectare per year. The sediment delivery ratio of 0.20 accounts for a total of 126,390 tons of sediments that accumulated downstream in a year.<br /> <strong>CONCLUSION:</strong> The model generated maps that visualize a site-specific hillslope, which is the source of erosion and sedimentation. The study enables the researchers to provide information helpful in the formulation of a sound policy statement for sustainable soil management in the agricultural watershed of Taganibong.https://www.gjesm.net/article_40280_47b46d88a0690d6a8a0d697dc2537d9d.pdfagriculturegeospatialsedimentssoil conservationsustainability |
| spellingShingle | G.R. Puno R.A. Marin R.C.C. Puno A.G. Toledo-Bruno Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed Global Journal of Environmental Science and Management agriculture geospatial sediments soil conservation sustainability |
| title | Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed |
| title_full | Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed |
| title_fullStr | Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed |
| title_full_unstemmed | Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed |
| title_short | Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed |
| title_sort | geographic information system and process based modeling of soil erosion and sediment yield in agricultural watershed |
| topic | agriculture geospatial sediments soil conservation sustainability |
| url | https://www.gjesm.net/article_40280_47b46d88a0690d6a8a0d697dc2537d9d.pdf |
| work_keys_str_mv | AT grpuno geographicinformationsystemandprocessbasedmodelingofsoilerosionandsedimentyieldinagriculturalwatershed AT ramarin geographicinformationsystemandprocessbasedmodelingofsoilerosionandsedimentyieldinagriculturalwatershed AT rccpuno geographicinformationsystemandprocessbasedmodelingofsoilerosionandsedimentyieldinagriculturalwatershed AT agtoledobruno geographicinformationsystemandprocessbasedmodelingofsoilerosionandsedimentyieldinagriculturalwatershed |