IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v31y2017i12d10.1007_s11269-017-1718-2.html
   My bibliography  Save this article

SWAT Setup with Long-Term Detailed Landuse and Management Records and Modification for a Micro-Watershed Influenced by Freeze-Thaw Cycles

Author

Listed:
  • Junyu Qi

    (University of New Brunswick)

  • Sheng Li

    (University of New Brunswick
    Potato Research Centre, Agriculture and Agri-Food Canada)

  • Qi Yang

    (Guangxi Key Laboratory of Forest Ecology and Conservation
    Guangxi University)

  • Zisheng Xing

    (University of New Brunswick
    Potato Research Centre, Agriculture and Agri-Food Canada)

  • Fan-Rui Meng

    (University of New Brunswick)

Abstract

In the widely used soil and water assessment tool (SWAT), the standard hydrological response units (HRUs) delineation method has low spatial resolution with respect to model inputs and outputs and renders difficulties in using long-term detailed landuse and management records. In addition, the modified universal soil loss equation (MUSLE) uses a constant K-factor which cannot address seasonal variation in soil erodibility caused by freeze-thaw cycles in cold regions. The current study presents a simple method to incorporate detailed landuse and management inputs in SWAT. The method delineates HRUs based on field boundaries and associates each HRU with a particular field. As a result, long-term detailed records can be incorporated into the SWAT management files. In addition, the existing MUSLE in SWAT was modified by introducing a variable K-factor to address effects of freeze-thaw cycles on soil erosion for cold regions. This modified version of SWAT was calibrated and validated for an agricultural micro-watershed, i.e., Black Brook Watershed in New Brunswick, Canada. The results showed that, compared with the standard HRU-delineation method, field-based HRU-delineation method was able to improve landuse and management practice input accuracy for SWAT and save time and effort for long-term simulation, and provide high resolution outputs in the watershed. As a result, the field-based HRU-delineation method can facilitate decision making not only at the subbasin scale but also at the field scale. In addition, results showed that sediment loading simulation accuracy was improved with the modified-MUSLE compared with the original-MUSLE.

Suggested Citation

  • Junyu Qi & Sheng Li & Qi Yang & Zisheng Xing & Fan-Rui Meng, 2017. "SWAT Setup with Long-Term Detailed Landuse and Management Records and Modification for a Micro-Watershed Influenced by Freeze-Thaw Cycles," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3953-3974, September.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:12:d:10.1007_s11269-017-1718-2
    DOI: 10.1007/s11269-017-1718-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-017-1718-2
    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/s11269-017-1718-2?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Sha Li & Wei Liang & Weibin Zhang & Qinghua Liu, 2016. "Response of Soil Moisture to Hydro-meteorological Variables Under Different Precipitation Gradients in the Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1867-1884, April.
    2. Bekele Debele & Raghavan Srinivasan & A. Gosain, 2010. "Comparison of Process-Based and Temperature-Index Snowmelt Modeling in SWAT," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1065-1088, April.
    3. Ullrich, Antje & Volk, Martin, 2009. "Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity," Agricultural Water Management, Elsevier, vol. 96(8), pages 1207-1217, August.
    4. Wenzhi Cao & William Bowden & Tim Davie & Andrew Fenemor, 2009. "Modelling Impacts of Land Cover Change on Critical Water Resources in the Motueka River Catchment, New Zealand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(1), pages 137-151, January.
    5. Manoj Jha & Philip W. Gassman & Silvia Secchi & Roy Gu & Jeffrey G. Arnold, 2002. "Effect of Watershed Subdivision on SWAT Flow, Sediment, and Nutrient Predictions," Center for Agricultural and Rural Development (CARD) Publications 02-wp315, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    6. Bhumika Uniyal & Madan Jha & Arbind Verma, 2015. "Assessing Climate Change Impact on Water Balance Components of a River Basin Using SWAT Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4767-4785, October.
    7. N. Maier & J. Dietrich, 2016. "Using SWAT for Strategic Planning of Basin Scale Irrigation Control Policies: a Case Study from a Humid Region in Northern Germany," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3285-3298, July.
    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. Kang, Xiaoyu & Qi, Junyu & Li, Sheng & Meng, Fan-Rui, 2022. "A watershed-scale assessment of climate change impacts on crop yields in Atlantic Canada," Agricultural Water Management, Elsevier, vol. 269(C).
    2. Mohammad Zare & Shahid Azam & David Sauchyn, 2022. "A Modified SWAT Model to Simulate Soil Water Content and Soil Temperature in Cold Regions: A Case Study of the South Saskatchewan River Basin in Canada," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    3. Rui Yan & Yanpeng Cai & Chunhui Li & Xuan Wang & Qiang Liu, 2019. "Hydrological Responses to Climate and Land Use Changes in a Watershed of the Loess Plateau, China," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    4. Zhuoshi He & Shouliang Huo & Chunzi Ma & Hanxiao Zhang & Da An & Beidou Xi & Qiujing Xu & Xinghui Xia & Fengchang Wu, 2019. "The Contributions of Climate Changes and Human Activities to Long-Term Variations in Lake Sediments Based on Results from Generalized Additive Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 1069-1085, February.
    5. Junyu Qi & Kang Liang & Sheng Li & Lichun Wang & Fan-Rui Meng, 2018. "Hydrological Evaluation of Flow Diversion Terraces Using Downhill-Slope Calculation Method for High Resolution and Accuracy DEMs," Sustainability, MDPI, vol. 10(7), pages 1-13, July.

    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. Junyu Qi & Sheng Li & Qiang Li & Zisheng Xing & Charles P.-A. Bourque & Fan-Rui Meng, 2016. "Assessing an Enhanced Version of SWAT on Water Quantity and Quality Simulation in Regions with Seasonal Snow Cover," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5021-5037, November.
    2. Uniyal, Bhumika & Dietrich, Jörg & Vasilakos, Christos & Tzoraki, Ourania, 2017. "Evaluation of SWAT simulated soil moisture at catchment scale by field measurements and Landsat derived indices," Agricultural Water Management, Elsevier, vol. 193(C), pages 55-70.
    3. Peng Shi & Xinxin Ma & Yuanbing Hou & Qiongfang Li & Zhicai Zhang & Simin Qu & Chao Chen & Tao Cai & Xiuqin Fang, 2013. "Effects of Land-Use and Climate Change on Hydrological Processes in the Upstream of Huai River, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1263-1278, March.
    4. Peng Shi & Chao Chen & Ragahavan Srinivasan & Xuesong Zhang & Tao Cai & Xiuqin Fang & Simin Qu & Xi Chen & Qiongfang Li, 2011. "Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2595-2612, August.
    5. Ravish K. Rathee & Sudipta K. Mishra, 2024. "Climate change impact assessment on the water resources of the Upper Yamuna River Basin in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18477-18498, July.
    6. Jeong, Hanseok & Kim, Hakkwan & Jang, Taeil & Park, Seungwoo, 2016. "Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River watershed in Korea using the SWAT model," Agricultural Water Management, Elsevier, vol. 163(C), pages 393-402.
    7. Lingcheng Li & Liping Zhang & Jun Xia & Christopher Gippel & Renchao Wang & Sidong Zeng, 2015. "Implications of Modelled Climate and Land Cover Changes on Runoff in the Middle Route of the South to North Water Transfer Project in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2563-2579, June.
    8. Elias Bekele & H. Knapp, 2010. "Watershed Modeling to Assessing Impacts of Potential Climate Change on Water Supply Availability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3299-3320, October.
    9. Carolina Natel Moura & Sílvio Luís Rafaeli Neto & Claudia Guimarães Camargo Campos & Eder Alexandre Schatz Sá, 2020. "Hydrological Impacts of Climate Change in a Well-preserved Upland Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2255-2267, June.
    10. Swati Maurya & Prashant K. Srivastava & Lu Zhuo & Aradhana Yaduvanshi & R. K. Mall, 2023. "Future Climate Change Impact on the Streamflow of Mahi River Basin Under Different General Circulation Model Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2675-2696, May.
    11. Nina Zarrineh & Karim C. Abbaspour & Ann Van Griensven & Bernard Jeangros & Annelie Holzkämper, 2018. "Model-Based Evaluation of Land Management Strategies with Regard to Multiple Ecosystem Services," Sustainability, MDPI, vol. 10(11), pages 1-21, October.
    12. Deepak Srivastava & Amit Kumar & Akshaya Verma & Siddharth Swaroop, 2014. "Analysis of Climate and Melt-runoff in Dunagiri Glacier of Garhwal Himalaya (India)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3035-3055, August.
    13. Ricci, Giovanni Francesco & D’Ambrosio, Ersilia & De Girolamo, Anna Maria & Gentile, Francesco, 2022. "Efficiency and feasibility of Best Management Practices to reduce nutrient loads in an agricultural river basin," Agricultural Water Management, Elsevier, vol. 259(C).
    14. 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.
    15. Cisneros, J.M. & Grau, J.B. & Antón, J.M. & de Prada, J.D. & Cantero, A. & Degioanni, A.J., 2011. "Assessing multi-criteria approaches with environmental, economic and social attributes, weights and procedures: A case study in the Pampas, Argentina," Agricultural Water Management, Elsevier, vol. 98(10), pages 1545-1556, August.
    16. Pignalosa, Antonio & Silvestri, Nicola & Pugliese, Francesco & Corniello, Alfonso & Gerundo, Carlo & Del Seppia, Nicola & Lucchesi, Massimo & Coscini, Nicola & De Paola, Francesco & Giugni, Maurizio, 2022. "Long-term simulations of Nature-Based Solutions effects on runoff and soil losses in a flat agricultural area within the catchment of Lake Massaciuccoli (Central Italy)," Agricultural Water Management, Elsevier, vol. 273(C).
    17. George HALKOS & Georgia GALANI, 2014. "Cost Effectiveness Analysis in Reducing Nutrient Loading in Baltic and Black Seas A Review," Journal of Advanced Research in Management, ASERS Publishing, vol. 5(1), pages 28-51.
    18. Brouziyne, Youssef & Abouabdillah, Aziz & Hirich, Abdelaziz & Bouabid, Rachid & Zaaboul, Rashyd & Benaabidate, Lahcen, 2018. "Modeling sustainable adaptation strategies toward a climate-smart agriculture in a Mediterranean watershed under projected climate change scenarios," Agricultural Systems, Elsevier, vol. 162(C), pages 154-163.
    19. Yongchao Duan & Min Luo & Xiufeng Guo & Peng Cai & Fu Li, 2021. "Study on the Relationship between Snowmelt Runoff for Different Latitudes and Vegetation Growth Based on an Improved SWAT Model in Xinjiang, China," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    20. Babak Farjad & Anil Gupta & Danielle J. Marceau, 2016. "Annual and Seasonal Variations of Hydrological Processes Under Climate Change Scenarios in Two Sub-Catchments of a Complex Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(8), pages 2851-2865, June.

    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:31:y:2017:i:12:d:10.1007_s11269-017-1718-2. 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.