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Evaluation of the AnnAGNPS model for predicting runoff and sediment yield in a small Mediterranean agricultural watershed in Navarre (Spain)

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Listed:
  • Chahor, Y.
  • Casalí, J.
  • Giménez, R.
  • Bingner, R.L.
  • Campo, M.A.
  • Goñi, M.

Abstract

AnnAGNPS (Annualized Agricultural Non-Point Source Pollution Model) is a computer model developed to predict non-point source pollutant loadings within agricultural watersheds. It contains a daily time step distributed parameter continuous simulation surface runoff model designed to assist with determining Best Management Practices (BMPs), the setting of Total Maximum Daily Loads (TMDLs), and for risk and cost/benefit analyses. The purpose of this study was to evaluate the capabilities of the model to simulate runoff and sediment loads in a small Mediterranean agricultural watershed (207ha) located in the region of Navarre (Spain) using nine years of continuous data monitoring. Data for the first five years (2003–2007) were used for calibration and the remaining four years (2008–2011) for validation. No significant channel erosion nor in-stream structures were identified within this small and homogeneous watershed. Thus the set of models for analysing stream networks and corridors were not considered in this study. Firstly, AnnAGNPS was calibrated for runoff by modifying Curve Number values for different stages of the main crops. Results showed that the model satisfactory simulated surface runoff at monthly, seasonal and annual scales both in calibration and in validation processes. A Differential Sensitivity Analysis (DSA) was carried out to evaluate the sensitivity of eight input parameters for sediment load prediction. Based on DSA results, the AnnAGNPS model was calibrated for sediment load simulation. The model was capable of simulating the sediment load at an annual scale with a difference of less than 1% for calibration and 7% for validation. However, the results at monthly and seasonal scale were less precise. The use of stream networks and corridors models, already inserted in the system of computer models that make up AnnAGNPS, seem to be necessary for a more precise explanation of sediment yields and loads at monthly and seasonal scales, even for small watersheds.

Suggested Citation

  • Chahor, Y. & Casalí, J. & Giménez, R. & Bingner, R.L. & Campo, M.A. & Goñi, M., 2014. "Evaluation of the AnnAGNPS model for predicting runoff and sediment yield in a small Mediterranean agricultural watershed in Navarre (Spain)," Agricultural Water Management, Elsevier, vol. 134(C), pages 24-37.
    • Handle: RePEc:eee:agiwat:v:134:y:2014:i:c:p:24-37
    DOI: 10.1016/j.agwat.2013.11.014
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    1. Monika Schaffner & Hans-Peter Bader & Ruth Scheidegger, 2011. "Modeling non-point source pollution from rice farming in the Thachin River Basin," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 13(2), pages 403-422, April.
    2. Casalí, J. & Gastesi, R. & Álvarez-Mozos, J. & De Santisteban, L.M. & Lersundi, J. Del Valle de & Giménez, R. & Larrañaga, A. & Goñi, M. & Agirre, U. & Campo, M.A. & López, J.J. & Donézar, M., 2008. "Runoff, erosion, and water quality of agricultural watersheds in central Navarre (Spain)," Agricultural Water Management, Elsevier, vol. 95(10), pages 1111-1128, October.
    3. Casalí, J. & Giménez, R. & Díez, J. & Álvarez-Mozos, J. & Del Valle de Lersundi, J. & Goñi, M. & Campo, M.A. & Chahor, Y. & Gastesi, R. & López, J., 2010. "Sediment production and water quality of watersheds with contrasting land use in Navarre (Spain)," Agricultural Water Management, Elsevier, vol. 97(10), pages 1683-1694, October.
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    1. Chuan Luo & Zhaofu Li & Hengpeng Li & Xiaomin Chen, 2015. "Evaluation of the AnnAGNPS Model for Predicting Runoff and Nutrient Export in a Typical Small Watershed in the Hilly Region of Taihu Lake," IJERPH, MDPI, vol. 12(9), pages 1-19, September.
    2. Ying Chen & Binbin Lu & Chongyu Xu & Xingwei Chen & Meibing Liu & Lu Gao & Haijun Deng, 2022. "Uncertainty Evaluation of Best Management Practice Effectiveness Based on the AnnAGNPS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1307-1321, March.
    3. Oduor, Brian Omondi & Campo-Bescós, Miguel Ángel & Lana-Renault, Noemí & Casalí, Javier, 2023. "Effects of climate change on streamflow and nitrate pollution in an agricultural Mediterranean watershed in Northern Spain," Agricultural Water Management, Elsevier, vol. 285(C).
    4. R. L. Bingner & R. R. Wells & H. G. Momm & J. R. Rigby & F. D. Theurer, 2016. "Ephemeral gully channel width and erosion simulation technology," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1949-1966, February.
    5. Zhang, J.L. & Li, Y.P. & Wang, C.X. & Huang, G.H., 2015. "An inexact simulation-based stochastic optimization method for identifying effluent trading strategies of agricultural nonpoint sources," Agricultural Water Management, Elsevier, vol. 152(C), pages 72-90.
    6. Villamizar, Martha L. & Brown, Colin D., 2016. "Modelling triazines in the valley of the River Cauca, Colombia, using the annualized agricultural non-point source pollution model," Agricultural Water Management, Elsevier, vol. 177(C), pages 24-36.
    7. Karki, Ritesh & Tagert, Mary Love M. & Paz, Joel O. & Bingner, Ronald L., 2017. "Application of AnnAGNPS to model an agricultural watershed in East-Central Mississippi for the evaluation of an on-farm water storage (OFWS) system," Agricultural Water Management, Elsevier, vol. 192(C), pages 103-114.
    8. R. Bingner & R. Wells & H. Momm & J. Rigby & F. Theurer, 2016. "Ephemeral gully channel width and erosion simulation technology," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1949-1966, February.
    9. Momm, H.G. & Porter, W.S. & Yasarer, L.M. & ElKadiri, R. & Bingner, R.L. & Aber, J.W., 2019. "Crop conversion impacts on runoff and sediment loads in the Upper Sunflower River watershed," Agricultural Water Management, Elsevier, vol. 217(C), pages 399-412.
    10. Zhang, Junlong & Li, Yongping & You, Li & Huang, Guohe & Xu, Xiaomei & Wang, Xiaoya, 2022. "Optimizing effluent trading and risk management schemes considering dual risk aversion for an agricultural watershed," Agricultural Water Management, Elsevier, vol. 269(C).
    11. Momm, Henrique G. & Bingner, Ronald L. & Moore, Katy & Herring, Glenn, 2022. "Integrated surface and groundwater modeling to enhance water resource sustainability in agricultural watersheds," Agricultural Water Management, Elsevier, vol. 269(C).
    12. Jialin Liu & Fangyan Cheng & Yi Zhu & Qun Zhang & Qing Song & Xinhong Cui, 2022. "Urban Land-Use Type Influences Summertime Water Quality in Small- and Medium-Sized Urban Rivers: A Case Study in Shanghai, China," Land, MDPI, vol. 11(4), pages 1-14, April.

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