IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v38y2024i1d10.1007_s11269-023-03671-1.html
   My bibliography  Save this article

Different Infiltration Methods for Swat Model Seasonal Calibration of Flow and Sediment Production

Author

Listed:
  • Priscila Pacheco Mariani

    (Federal University of Rio Grande do Sul)

  • Nilza Maria Reis Castro

    (Federal University of Rio Grande do Sul)

  • Vanessa Sari

    (Federal University of Santa Maria)

  • Taís Carine Schmitt

    (Federal University of Santa Maria)

  • Olavo Correa Pedrollo

    (Federal University of Rio Grande do Sul)

Abstract

Hydrosedimentological models make it possible to better understand the dynamics of water and sediment production in watersheds when properly calibrated. The objective of this study was to analyze the effects of the curve number (CN) and Green and Ampt (GA) methods and of seasonal calibration of the Soil and Water Assessment Tool (SWAT) model for estimating flow and sediment production in an agricultural basin. In this research, we presented an original application with the hourly suspended sediment concentration (SSC) generated by artificial neural networks (ANNs) for use in SWAT model calibration. This method was applied in the Taboão basin (77.5 km2), with data from 2008 to 2018. The best Nash–Sutcliffe (NS) coefficient values were obtained using the combination of wet years for calibration and the GA method for both daily flow (NScalibration: 0.74; and NSvalidation: 0.68) and daily sediment production (NScalibration: 0.83; and NSvalidation: 0.77). The CN method did not result in satisfactory values during daily flow calibration (NScalibration 0.39). The results showed that it is possible to employ the SWAT model for hydrosedimentological prediction in the Taboão basin, with a favorable efficiency, using the GA method and calibration with data for wet periods.

Suggested Citation

  • Priscila Pacheco Mariani & Nilza Maria Reis Castro & Vanessa Sari & Taís Carine Schmitt & Olavo Correa Pedrollo, 2024. "Different Infiltration Methods for Swat Model Seasonal Calibration of Flow and Sediment Production," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 303-322, January.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:1:d:10.1007_s11269-023-03671-1
    DOI: 10.1007/s11269-023-03671-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-023-03671-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-023-03671-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Dejian & Chen, Xingwei & Yao, Huaxia & Lin, Bingqing, 2015. "Improved calibration scheme of SWAT by separating wet and dry seasons," Ecological Modelling, Elsevier, vol. 301(C), pages 54-61.
    2. Laís Coelho Teixeira & Priscila Pacheco Mariani & Olavo Correa Pedrollo & Nilza Maria Castro & Vanessa Sari, 2020. "Artificial Neural Network and Fuzzy Inference System Models for Forecasting Suspended Sediment and Turbidity in Basins at Different Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(11), pages 3709-3723, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nikolaos Efthimiou, 2025. "Suspended Load Estimation in Data Scarce Rivers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(1), pages 311-378, January.
    2. Yohana G. Jimenez & Ezequiel Aráoz, 2024. "Modeling the Role of Novel Ecosystems in Runoff and Soil Protection: Native and Non-native Subtropical Montane Forests," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(10), pages 3837-3852, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lijun Jiao & Ruimin Liu & Linfang Wang & Lin Li & Leiping Cao, 2021. "Evaluating Spatiotemporal Variations in the Impact of Inter-basin Water Transfer Projects in Water-receiving Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5409-5429, December.
    2. De Girolamo, Anna Maria & Barca, Emanuele & Pappagallo, Giuseppe & Lo Porto, Antonio, 2017. "Simulating ecologically relevant hydrological indicators in a temporary river system," Agricultural Water Management, Elsevier, vol. 180(PB), pages 194-204.
    3. Yi Tang & Yang Pan & Lei Zhang & Hongchen Yi & Yiping Gu & Weihao Sun, 2023. "Efficient Monitoring of Total Suspended Matter in Urban Water Based on UAV Multi-spectral Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2143-2160, March.
    4. Eswar Sai Buri & Venkata Reddy Keesara & K. N. Loukika & Venkataramana Sridhar, 2025. "An Integrated Framework for Optimal Allocation of Land and Water Resources in an Agricultural Dominant Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(3), pages 1435-1451, February.
    5. Dan Li & Bingjun Liu & Changqing Ye, 2022. "Meteorological and hydrological drought risks under changing environment on the Wanquan River Basin, Southern China," 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. 114(3), pages 2941-2967, December.
    6. Rumph Frederiksen, Rasmus & Molina-Navarro, Eugenio, 2021. "The importance of subsurface drainage on model performance and water balance in an agricultural catchment using SWAT and SWAT-MODFLOW," Agricultural Water Management, Elsevier, vol. 255(C).
    7. Jiahui Tao & Yicheng Gu & Xin Yin & Junlai Chen & Tianqi Ao & Jianyun Zhang, 2024. "Coupling SWAT and Transformer Models for Enhanced Monthly Streamflow Prediction," Sustainability, MDPI, vol. 16(19), pages 1-14, October.
    8. Kotapati Narayana Loukika & Venkata Reddy Keesara & Eswar Sai Buri & Venkataramana Sridhar, 2022. "Predicting the Effects of Land Use Land Cover and Climate Change on Munneru River Basin Using CA-Markov and Soil and Water Assessment Tool," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    9. Molina-Navarro, Eugenio & Hallack-Alegría, Michelle & Martínez-Pérez, Silvia & Ramírez-Hernández, Jorge & Mungaray-Moctezuma, Alejandro & Sastre-Merlín, Antonio, 2016. "Hydrological modeling and climate change impacts in an agricultural semiarid region. Case study: Guadalupe River basin, Mexico," Agricultural Water Management, Elsevier, vol. 175(C), pages 29-42.
    10. Bisrat Ayalew Yifru & Il-Moon Chung & Min-Gyu Kim & Sun Woo Chang, 2020. "Assessment of Groundwater Recharge in Agro-Urban Watersheds Using Integrated SWAT-MODFLOW Model," Sustainability, MDPI, vol. 12(16), pages 1-18, August.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:38:y:2024:i:1:d:10.1007_s11269-023-03671-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.