The use of InVEST-SDR model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in Sri Lanka
Soil erosion is a significant environmental threat, impacting water quality and the siltation of the productive capacity of reservoirs. To prioritize soil conservation areas for sustainable land management, quantitative spatial assessment of soil erosion is essential, particularly in the catchment o...
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| Format: | Article |
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KeAi Communications Co., Ltd.
2025-04-01
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| Series: | International Journal of Sediment Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1001627924001422 |
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| author | Hulan Badde Gedara Dilshan Madubhashana Padminda Ekanayaka Nimal Shantha Abeysingha Tusita Amarasekara Ram Lakhan Ray Dinithi Kusalani Samarathunga |
| author_facet | Hulan Badde Gedara Dilshan Madubhashana Padminda Ekanayaka Nimal Shantha Abeysingha Tusita Amarasekara Ram Lakhan Ray Dinithi Kusalani Samarathunga |
| author_sort | Hulan Badde Gedara Dilshan Madubhashana Padminda Ekanayaka |
| collection | DOAJ |
| description | Soil erosion is a significant environmental threat, impacting water quality and the siltation of the productive capacity of reservoirs. To prioritize soil conservation areas for sustainable land management, quantitative spatial assessment of soil erosion is essential, particularly in the catchment of a reservoir. The current study aims to evaluate the soil erosion severity and sediment generation in the closer catchment of a proposed reservoir, the lower Malwathu Oya Reservoir in Sri Lanka. Erosion modeling has proven cost-effective in assessing the spatial distribution of soil erosion severity. This current study utilized the Integrated valuation of ecosystem services and tradeoffs sediment delivery ratio (InVEST-SDR) model to analyze the spatial distribution of soil erosion and sediment export. A digital elevation model (30 m × 30 m), 22 years of rainfall data, land use and land cover data, soil map, and cropping factors were used as model inputs. The results revealed an average annual soil loss ranging from 0 to 15.55 t/(ha·y) in the catchment and a mean annual sediment export of 0.016 t/(ha·y). Erosion severity was classified into four hazard classes, i.e., insignificant (<0.5 t/(ha·y)), weak (0.5–3 t/(ha·y)), considerable (3–12 t/(ha·y)), and severe (12 < t/(ha·y)). A critical 0.12% area was identified as a considerable soil erosion hazard area, necessitating urgent measures for erosion control. High-risk areas were at Galpottegama, Asirikgama, Puleliya, Navodagama, and Thuppitiyawa Grama Niladari. These findings provide valuable insight for formulating and implementing soil conservation practices in the catchment to reduce the siltation of the proposed lower Malwathu Oya reservoir. The study is an example of using InVEST-SDR to evaluate the sedimentation of a proposed reservoir. |
| format | Article |
| id | doaj-art-52ef19ac8b9543fc88e36270ea204ee9 |
| institution | DOAJ |
| issn | 1001-6279 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | KeAi Communications Co., Ltd. |
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| series | International Journal of Sediment Research |
| spelling | doaj-art-52ef19ac8b9543fc88e36270ea204ee92025-08-20T02:57:34ZengKeAi Communications Co., Ltd.International Journal of Sediment Research1001-62792025-04-0140225326810.1016/j.ijsrc.2024.12.005The use of InVEST-SDR model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in Sri LankaHulan Badde Gedara Dilshan Madubhashana Padminda Ekanayaka0Nimal Shantha Abeysingha1Tusita Amarasekara2Ram Lakhan Ray3Dinithi Kusalani Samarathunga4Department of Agriculture Engineering and Soil Science, Faculty of Agriculture, Rajarata University of Sri Lanka, Puliyankulama, Anuradhapura, Sri LankaDepartment of Agriculture Engineering and Soil Science, Faculty of Agriculture, Rajarata University of Sri Lanka, Puliyankulama, Anuradhapura, Sri Lanka; Corresponding author.Department of Agriculture Engineering and Soil Science, Faculty of Agriculture, Rajarata University of Sri Lanka, Puliyankulama, Anuradhapura, Sri LankaCollege of Agriculture, Food and Natural Resources, Prairie View A&M University, Prairie View, TX, USAInternational Union for Conservation of Nature, Battaramulla, Sri LankaSoil erosion is a significant environmental threat, impacting water quality and the siltation of the productive capacity of reservoirs. To prioritize soil conservation areas for sustainable land management, quantitative spatial assessment of soil erosion is essential, particularly in the catchment of a reservoir. The current study aims to evaluate the soil erosion severity and sediment generation in the closer catchment of a proposed reservoir, the lower Malwathu Oya Reservoir in Sri Lanka. Erosion modeling has proven cost-effective in assessing the spatial distribution of soil erosion severity. This current study utilized the Integrated valuation of ecosystem services and tradeoffs sediment delivery ratio (InVEST-SDR) model to analyze the spatial distribution of soil erosion and sediment export. A digital elevation model (30 m × 30 m), 22 years of rainfall data, land use and land cover data, soil map, and cropping factors were used as model inputs. The results revealed an average annual soil loss ranging from 0 to 15.55 t/(ha·y) in the catchment and a mean annual sediment export of 0.016 t/(ha·y). Erosion severity was classified into four hazard classes, i.e., insignificant (<0.5 t/(ha·y)), weak (0.5–3 t/(ha·y)), considerable (3–12 t/(ha·y)), and severe (12 < t/(ha·y)). A critical 0.12% area was identified as a considerable soil erosion hazard area, necessitating urgent measures for erosion control. High-risk areas were at Galpottegama, Asirikgama, Puleliya, Navodagama, and Thuppitiyawa Grama Niladari. These findings provide valuable insight for formulating and implementing soil conservation practices in the catchment to reduce the siltation of the proposed lower Malwathu Oya reservoir. The study is an example of using InVEST-SDR to evaluate the sedimentation of a proposed reservoir.http://www.sciencedirect.com/science/article/pii/S1001627924001422Dry zoneErosion hazard zonesGeographic information systemMalwathu Oya River basinSri Lanka |
| spellingShingle | Hulan Badde Gedara Dilshan Madubhashana Padminda Ekanayaka Nimal Shantha Abeysingha Tusita Amarasekara Ram Lakhan Ray Dinithi Kusalani Samarathunga The use of InVEST-SDR model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in Sri Lanka International Journal of Sediment Research Dry zone Erosion hazard zones Geographic information system Malwathu Oya River basin Sri Lanka |
| title | The use of InVEST-SDR model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in Sri Lanka |
| title_full | The use of InVEST-SDR model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in Sri Lanka |
| title_fullStr | The use of InVEST-SDR model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in Sri Lanka |
| title_full_unstemmed | The use of InVEST-SDR model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in Sri Lanka |
| title_short | The use of InVEST-SDR model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in Sri Lanka |
| title_sort | use of invest sdr model to evaluate soil erosion and sedimentation in the closer catchment of a proposed tropical reservoir in sri lanka |
| topic | Dry zone Erosion hazard zones Geographic information system Malwathu Oya River basin Sri Lanka |
| url | http://www.sciencedirect.com/science/article/pii/S1001627924001422 |
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