Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, Thailand
Land use changes such as deforestation and urban development influences the river discharge, soil erosion and sediment yield. It is important to evaluate tools which can be used to assess such impacts on water and sediment yield. Therefore, this study evaluated the Annualized Agricultural Non-Point...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-11-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844021024993 |
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| author | A. Jirasirichote S. Ninsawat S. Shrestha N.K. Tripathi |
| author_facet | A. Jirasirichote S. Ninsawat S. Shrestha N.K. Tripathi |
| author_sort | A. Jirasirichote |
| collection | DOAJ |
| description | Land use changes such as deforestation and urban development influences the river discharge, soil erosion and sediment yield. It is important to evaluate tools which can be used to assess such impacts on water and sediment yield. Therefore, this study evaluated the Annualized Agricultural Non-Point Source Pollutant (AnnAGNPS) model's performance in simulating runoff and sediment loads in Nan Province, Thailand using seven years of continuous monitoring data. The river discharge and sediment yield data from 2011–2013 were used for calibration, and data from 2014–2017 were used for validation. Several input parameters were computed using methods suggested by other researchers and previous studies. In this study, the runoff curve number, soil erodibility factor (K), and RUSLE-C value were used to accurately simulate runoff and sediment loads. The results indicate that the model satisfactorily simulated runoff and sediment loads (R2 = 0.65 and NSE = 0.53 for runoff volume, and R2 = 0.62 and NSE = 0.60 for sediment yields). Moreover, the model estimated the total sediment yield, which contributed 12,932 hundred tons of material to the Nan River in 2017. The maximum sediment yield was obtained below the catchment (Na Noi sub-district, Na Noi district), which corresponds to areas with high crop densities. Cropland generated the highest soil erosion of all investigated land use (87.52% of total soil erosion). Thus, the AnnAGNPS model has the potential to use for investigating management practices to reduce soil erosion and controlling floods and droughts in Nan Province of Thailand. |
| first_indexed | 2024-12-19T04:43:54Z |
| format | Article |
| id | doaj.art-d03a7a84fb6348ec8789e81ac4c5c1c2 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-12-19T04:43:54Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-d03a7a84fb6348ec8789e81ac4c5c1c22022-12-21T20:35:33ZengElsevierHeliyon2405-84402021-11-01711e08396Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, ThailandA. Jirasirichote0S. Ninsawat1S. Shrestha2N.K. Tripathi3Remote Sensing and Geographic Information System (RSGIS) Program, School of Engineering and Technology, Asian Institute of Technology, 58 Moo 9, Klong Luang, Pathumthani, 12120, Thailand; Corresponding author.Remote Sensing and Geographic Information System (RSGIS) Program, School of Engineering and Technology, Asian Institute of Technology, 58 Moo 9, Klong Luang, Pathumthani, 12120, ThailandWater Engineering and Management Program, School of Engineering and Technology, Asian Institute of Technology, 58 Moo 9, Klong Luang, Pathumthani, 12120, ThailandRemote Sensing and Geographic Information System (RSGIS) Program, School of Engineering and Technology, Asian Institute of Technology, 58 Moo 9, Klong Luang, Pathumthani, 12120, ThailandLand use changes such as deforestation and urban development influences the river discharge, soil erosion and sediment yield. It is important to evaluate tools which can be used to assess such impacts on water and sediment yield. Therefore, this study evaluated the Annualized Agricultural Non-Point Source Pollutant (AnnAGNPS) model's performance in simulating runoff and sediment loads in Nan Province, Thailand using seven years of continuous monitoring data. The river discharge and sediment yield data from 2011–2013 were used for calibration, and data from 2014–2017 were used for validation. Several input parameters were computed using methods suggested by other researchers and previous studies. In this study, the runoff curve number, soil erodibility factor (K), and RUSLE-C value were used to accurately simulate runoff and sediment loads. The results indicate that the model satisfactorily simulated runoff and sediment loads (R2 = 0.65 and NSE = 0.53 for runoff volume, and R2 = 0.62 and NSE = 0.60 for sediment yields). Moreover, the model estimated the total sediment yield, which contributed 12,932 hundred tons of material to the Nan River in 2017. The maximum sediment yield was obtained below the catchment (Na Noi sub-district, Na Noi district), which corresponds to areas with high crop densities. Cropland generated the highest soil erosion of all investigated land use (87.52% of total soil erosion). Thus, the AnnAGNPS model has the potential to use for investigating management practices to reduce soil erosion and controlling floods and droughts in Nan Province of Thailand.http://www.sciencedirect.com/science/article/pii/S2405844021024993AnnAGNPS modelSurface runoffSediment yieldWatershed managementThailand |
| spellingShingle | A. Jirasirichote S. Ninsawat S. Shrestha N.K. Tripathi Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, Thailand Heliyon AnnAGNPS model Surface runoff Sediment yield Watershed management Thailand |
| title | Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, Thailand |
| title_full | Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, Thailand |
| title_fullStr | Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, Thailand |
| title_full_unstemmed | Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, Thailand |
| title_short | Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, Thailand |
| title_sort | performance of annagnps model in predicting runoff and sediment yields in nan province thailand |
| topic | AnnAGNPS model Surface runoff Sediment yield Watershed management Thailand |
| url | http://www.sciencedirect.com/science/article/pii/S2405844021024993 |
| work_keys_str_mv | AT ajirasirichote performanceofannagnpsmodelinpredictingrunoffandsedimentyieldsinnanprovincethailand AT sninsawat performanceofannagnpsmodelinpredictingrunoffandsedimentyieldsinnanprovincethailand AT sshrestha performanceofannagnpsmodelinpredictingrunoffandsedimentyieldsinnanprovincethailand AT nktripathi performanceofannagnpsmodelinpredictingrunoffandsedimentyieldsinnanprovincethailand |