IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v32y2018i14d10.1007_s11269-018-2072-8.html
   My bibliography  Save this article

Effect of DEM Resolution, Source, Resampling Technique and Area Threshold on SWAT Outputs

Author

Listed:
  • Mou Leong Tan

    (Universiti Sains Malaysia)

  • Hilmi P. Ramli

    (Wisma Air Kelantan Sdn Bhd
    Universiti Teknologi Malaysia)

  • Tze Huey Tam

    (Universiti Teknologi Malaysia)

Abstract

Application of an inappropriate Digital Elevation Model (DEM) might lead to uncertainty in modelling of the hydrological cycle. The novelty of this work is the development of a comprehensive framework to evaluate the effect of DEM resolution (12 to 500 m), source (TanDEM-X, SRTM, AW3D30 and ASTER GDEM2), resampling technique (nearest neighbour, bilinear interpolation, cubic convolution and majority) and area threshold (1000 to 50,000 ha) on Soil and Water Assessment Tool (SWAT) outputs based on five criteria: (1) river network extraction, (2) streamflow simulation, (3) topography, slope and basin characteristics, (4) hydrological and (5) water quality simulations. Kelantan River Basin, a tropical basin in Peninsular Malaysia was selected as study area. The major findings are summarized as follows: (1) TanDEM-X had better river network extraction capability than ASTER GDEM2, (2) better monthly streamflow simulations were obtained between 20 m and 60 m DEM resolutions, with the smallest area threshold (1000 ha), (3) TanDEM-X and SRTM DEMs outperformed ASTER GDEM2 on monthly streamflow simulation, (4) DEM resolution, source and resampling technique were insensitive to most of the hydrological components, except the lateral flow, (5) area threshold was sensitive to SWAT-simulated surface runoff, soil water content and evapotranspiration, (6) DEM scenarios had a larger impact on sediment yield simulations compared to the total nitrogen and total phosphorus simulations. We recommend a preliminary assessment of DEM uncertainties on SWAT outputs to obtain more reliable modelling outputs.

Suggested Citation

  • Mou Leong Tan & Hilmi P. Ramli & Tze Huey Tam, 2018. "Effect of DEM Resolution, Source, Resampling Technique and Area Threshold on SWAT Outputs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4591-4606, November.
  • Handle: RePEc:spr:waterr:v:32:y:2018:i:14:d:10.1007_s11269-018-2072-8
    DOI: 10.1007/s11269-018-2072-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-018-2072-8
    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/s11269-018-2072-8?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. Manish Kumar Goyal & Venkatesh K. Panchariya & Ashutosh Sharma & Vishal Singh, 2018. "Comparative Assessment of SWAT Model Performance in two Distinct Catchments under Various DEM Scenarios of Varying Resolution, Sources and Resampling Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 805-825, January.
    2. 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.
    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. Shizhou Ma & Karen F. Beazley & Patrick Nussey & Christopher S. Greene, 2021. "Assessing Optimal Digital Elevation Model Selection for Active River Area Delineation Across Broad Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4825-4840, November.
    2. Ji Shen & Fangbi Tan, 2020. "Effects of DEM resolution and resampling technique on building treatment for urban inundation modeling: a case study for the 2016 flooding of the HUST campus in Wuhan," 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. 104(1), pages 927-957, October.
    3. Harikrishna Sukumaran & Sanat Nalini Sahoo, 2020. "A Methodological Framework for Identification of Baseline Scenario and Assessing the Impact of DEM Scenarios on SWAT Model Outputs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4795-4814, December.

    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. Alberto Martínez-Salvador & Carmelo Conesa-García, 2020. "Suitability of the SWAT Model for Simulating Water Discharge and Sediment Load in a Karst Watershed of the Semiarid Mediterranean Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 785-802, January.
    2. 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.
    3. 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.
    4. 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.
    5. Medwid, Laura J. & Lambert, Dayton M. & Clark, Christopher D. & Hawkins, Shawn A. & McClellan, Hannah A., 2016. "Estimating Soil Loss Abatement Curves with Primary Survey Data and Hydrologic Models: An Empirical Example for Livestock Production in an East Tennessee Watershed," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230052, Southern Agricultural Economics Association.
    6. Catherine L. Kling & Raymond W. Arritt & Gray Calhoun & David A. Keiser, 2016. "Research Needs and Challenges in the FEW System: Coupling Economic Models with Agronomic, Hydrologic, and Bioenergy Models for Sustainable Food, Energy, and Water Systems," Center for Agricultural and Rural Development (CARD) Publications 16-wp563, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    7. 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.
    8. Negar Tayebzadeh Moghadam & Karim C. Abbaspour & Bahram Malekmohammadi & Mario Schirmer & Ahmad Reza Yavari, 2021. "Spatiotemporal Modelling of Water Balance Components in Response to Climate and Landuse Changes in a Heterogeneous Mountainous Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 793-810, February.
    9. 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.
    10. 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).
    11. 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.
    12. S. K. Aryal & S. Ashbolt & B. S. McIntosh & K. P. Petrone & S. Maheepala & R. K. Chowdhury & T. Gardener & R. Gardiner, 2016. "Assessing and Mitigating the Hydrological Impacts of Urbanisation in Semi-Urban Catchments Using the Storm Water Management Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5437-5454, November.
    13. 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.
    14. Kotchakarn Nantasaksiri & Patcharawat Charoen-Amornkitt & Takashi Machimura, 2021. "Land Potential Assessment of Napier Grass Plantation for Power Generation in Thailand Using SWAT Model. Model Validation and Parameter Calibration," Energies, MDPI, vol. 14(5), pages 1-15, March.
    15. Howard, Gregory E. & Zhang, Wendong & Valcu-Lisman, Adriana M., 2021. "Evaluating the Efficiency-Participation Tradeoff in Agricultural Conservation Programs: The Effect of Reverse Auctions, Spatial Targeting, and Higher Offered Payments," 2021 Annual Meeting, August 1-3, Austin, Texas 313926, Agricultural and Applied Economics Association.
    16. Sanjeet Kumar & Ashok Mishra, 2015. "Critical Erosion Area Identification Based on Hydrological Response Unit Level for Effective Sedimentation Control in a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1749-1765, April.
    17. Savé, R. & de Herralde, F. & Aranda, X. & Pla, E. & Pascual, D. & Funes, I. & Biel, C., 2012. "Potential changes in irrigation requirements and phenology of maize, apple trees and alfalfa under global change conditions in Fluvià watershed during XXIst century: Results from a modeling approximat," Agricultural Water Management, Elsevier, vol. 114(C), pages 78-87.
    18. Darren Ficklin & Iris Stewart & Edwin Maurer, 2013. "Effects of projected climate change on the hydrology in the Mono Lake Basin, California," Climatic Change, Springer, vol. 116(1), pages 111-131, January.
    19. 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.
    20. 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.

    More about this item

    Keywords

    DEM; Resolution; TanDEM-X; SRTM; ASTER; SWAT;
    All these 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:32:y:2018:i:14:d:10.1007_s11269-018-2072-8. 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.