IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v117y2023i1d10.1007_s11069-023-05859-5.html
   My bibliography  Save this article

Considering flood scaling property in multi-objective calibration of the SWAT model: a case study in Zijinguan watershed, Northern China

Author

Listed:
  • Yanchen Zheng

    (Tianjin University
    University of Bristol)

  • Jianzhu Li

    (Tianjin University)

  • Ting Zhang

    (Tianjin University)

  • Youtong Rong

    (University of Bristol)

  • Ping Feng

    (Tianjin University)

Abstract

Adopting new technologies to calibrate hydrological models to produce good simulations for water resources or flood risk management is one of the important research topics in hydrology field. Incorporating hydrological signatures and concepts in hydrological model calibration becomes prevalent in recent years. A good realistic simulation of hydrological processes within the catchment is more significant than only achieving good performance at watershed outlet with single-statistical-objective function. This research adopts the concept of flood scaling property, which describes the statistical relationship between flood peak, its contributing areas and additional catchment attributes, to behave as one of the constraints under multi-objective model calibration framework. Several designed calibration scenarios are tested by employing the soil and water assessment tool hydrological model. In comparison with single-objective calibration scenarios, multi-objective calibration method is recommended to obtain both good simulation at catchment outlet and sub-basins reaches. The multi-objective calibration method assists in improving the model performance in terms of flow duration curve and also in reducing the bias of long-term runoff ratio. The proposed model calibration approach reflects the hydrological interaction of flood peaks across sub-basins and takes into account the catchment antecedent wetness and climatic condition for each flood event.

Suggested Citation

  • Yanchen Zheng & Jianzhu Li & Ting Zhang & Youtong Rong & Ping Feng, 2023. "Considering flood scaling property in multi-objective calibration of the SWAT model: a case study in Zijinguan watershed, Northern 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. 117(1), pages 267-292, May.
  • Handle: RePEc:spr:nathaz:v:117:y:2023:i:1:d:10.1007_s11069-023-05859-5
    DOI: 10.1007/s11069-023-05859-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-05859-5
    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/s11069-023-05859-5?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. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    2. Jianzhu Li & Qiushuang Ma & Yu Tian & Yuming Lei & Ting Zhang & Ping Feng, 2019. "Flood scaling under nonstationarity in Daqinghe River basin, 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. 98(2), pages 675-696, September.
    3. Jianzhu Li & Ping Feng & Zhaozhen Wei, 2013. "Incorporating the data of different watersheds to estimate the effects of land use change on flood peak and volume using multi-linear regression," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(8), pages 1183-1196, December.
    Full references (including those not matched with items on IDEAS)

    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. Egbendewe-Mondzozo, Aklesso & Swinton, Scott M. & Bals, Bryan D. & Dale, Bruce E., 2011. "Can Dispersed Biomass Processing Protect the Environment and Cover the Bottom Line for Biofuel?," Staff Paper Series 119348, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    2. Andersson, Jafet C.M. & Zehnder, Alexander J.B. & Rockström, Johan & Yang, Hong, 2011. "Potential impacts of water harvesting and ecological sanitation on crop yield, evaporation and river flow regimes in the Thukela River basin, South Africa," Agricultural Water Management, Elsevier, vol. 98(7), pages 1113-1124, May.
    3. Hongxing Liu & Wendong Zhang & Elena Irwin & Jeffrey Kast & Noel Aloysius & Jay Martin & Margaret Kalcic, 2020. "Best Management Practices and Nutrient Reduction: An Integrated Economic-Hydrologic Model of the Western Lake Erie Basin," Land Economics, University of Wisconsin Press, vol. 96(4), pages 510-530.
    4. Alan F. Hamlet & Nima Ehsani & Jennifer L. Tank & Zachariah Silver & Kyuhyun Byun & Ursula H. Mahl & Shannon L. Speir & Matt T. Trentman & Todd V. Royer, 2024. "Effects of climate and winter cover crops on nutrient loss in agricultural watersheds in the midwestern U.S," Climatic Change, Springer, vol. 177(1), pages 1-21, January.
    5. Yates, Andrew J. & Doyle, Martin W. & Rigby, J.R. & Schnier, Kurt E., 2013. "Market power, private information, and the optimal scale of pollution permit markets with application to North Carolina's Neuse River," Resource and Energy Economics, Elsevier, vol. 35(3), pages 256-276.
    6. Eini, Mohammad Reza & Salmani, Haniyeh & Piniewski, Mikołaj, 2023. "Comparison of process-based and statistical approaches for simulation and projections of rainfed crop yields," Agricultural Water Management, Elsevier, vol. 277(C).
    7. 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.
    8. 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.
    9. Roy Brouwer & Rute Pinto & Jorge Garcia‐Hernandez & Xingtong Li & Merrin Macrae & Predrag Rajsic & Wanhong Yang & Yongbo Liu & Mark Anderson & Louise Heyming, 2023. "Spatial optimization of nutrient reduction measures on agricultural land to improve water quality: A coupled modeling approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(3-4), pages 329-353, September.
    10. Ramesh P. Rudra & Balew A. Mekonnen & Rituraj Shukla & Narayan Kumar Shrestha & Pradeep K. Goel & Prasad Daggupati & Asim Biswas, 2020. "Currents Status, Challenges, and Future Directions in Identifying Critical Source Areas for Non-Point Source Pollution in Canadian Conditions," Agriculture, MDPI, vol. 10(10), pages 1-25, October.
    11. Javier Senent-Aparicio & Sitian Liu & Julio Pérez-Sánchez & Adrián López-Ballesteros & Patricia Jimeno-Sáez, 2018. "Assessing Impacts of Climate Variability and Reforestation Activities on Water Resources in the Headwaters of the Segura River Basin (SE Spain)," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    12. 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.
    13. Gao, Jie & Xie, Pengxuan & Zhuo, La & Shang, Kehui & Ji, Xiangxiang & Wu, Pute, 2021. "Water footprints of irrigated crop production and meteorological driving factors at multiple temporal scales," Agricultural Water Management, Elsevier, vol. 255(C).
    14. 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.
    15. Ribaudo, Marc & Savage, Jeffrey, 2014. "Controlling non-additional credits from nutrient management in water quality trading programs through eligibility baseline stringency," Ecological Economics, Elsevier, vol. 105(C), pages 233-239.
    16. Lin Ye & Nancy Grimm, 2013. "Modelling potential impacts of climate change on water and nitrate export from a mid-sized, semiarid watershed in the US Southwest," Climatic Change, Springer, vol. 120(1), pages 419-431, September.
    17. Panagopoulos, Y. & Makropoulos, C. & Baltas, E. & Mimikou, M., 2011. "SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations," Ecological Modelling, Elsevier, vol. 222(19), pages 3500-3512.
    18. Mudassar Iqbal & Jun Wen & Muhammad Masood & Muhammad Umer Masood & Muhammad Adnan, 2022. "Impacts of Climate and Land-Use Changes on Hydrological Processes of the Source Region of Yellow River, China," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    19. Vinit Sehgal & Venkataramana Sridhar & Luke Juran & Jactone Arogo Ogejo, 2018. "Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S," Sustainability, MDPI, vol. 10(9), pages 1-27, August.
    20. repec:bla:canjag:v:58:y:2010:i:s1:p:411-431 is not listed on IDEAS
    21. Zhou, Xia Vivian & Clark, Christopher D. & Nair, Sujithkumar Surendran & Hawkins, Shawn A. & Lambert, Dayton M., 2015. "Environmental and economic analysis of using SWAT to simulate the effects of switchgrass production on water quality in an impaired watershed," Agricultural Water Management, Elsevier, vol. 160(C), pages 1-13.

    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:nathaz:v:117:y:2023:i:1:d:10.1007_s11069-023-05859-5. 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.