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Hydrological Evaluation of Flow Diversion Terraces Using Downhill-Slope Calculation Method for High Resolution and Accuracy DEMs

Author

Listed:
  • Junyu Qi

    (Earth System Science Interdisciplinary Center, University of Maryland, College Park, 5825 University Research Ct, College Park, MD 20740, USA)

  • Kang Liang

    (Faculty of Forestry and Environmental Management, University of New Brunswick, P.O. Box 4400, 28 Dineen Drive, Fredericton, NB E3B 6C2, Canada)

  • Sheng Li

    (Potato Research Centre, Agriculture and Agri-Food Canada, P.O. Box 20280, 850 Lincoln Road, Fredericton, NB E3B 4Z7, Canada)

  • Lichun Wang

    (Department of Geosciences, University of Texas at Austin, Austin, TX 78712, USA)

  • Fan-Rui Meng

    (Faculty of Forestry and Environmental Management, University of New Brunswick, P.O. Box 4400, 28 Dineen Drive, Fredericton, NB E3B 6C2, Canada)

Abstract

Slope is an important topographical parameter in hydrological models. Dramatic changes in slope are produced due to micro variations of topography in flow diversion terrace (FDT) systems. Assessing the effectiveness of FDT on soil conservation yields different results using different slope calculation methods with different resolution and accuracy digital elevation models (DEMs). In this study, the ArcGIS built-in average-neighborhood-slope (ANS) method and a downhill-slope (DHS) method were used to calculate slopes for a small agricultural watershed in New Brunswick, Canada. Six DEMs were used, i.e., 1, 5 and 10 m resolution DEMs generated with conventional photogrammetric techniques, and 1, 5, and 10 m resolution DEMs derived from light detection and ranging (LiDAR) data. Calculated slopes were summarized for the whole watershed, a patch of FDT systems, and grassed flow channels in front of embankments in the patch. Results indicated that the DHS method produced smaller slopes than the ANS method with LiDAR-1m DEM along grasses flow channels. Furthermore, the mean L-factor derived from the DHS method was smaller than that derived from the ANS in terraces and grassed flow channels for the LiDAR-1m DEM. Finally, soil loss estimated from the DHS method using RUSLE was more consistent with measurement for the watershed than that from the ANS method when the LiDAR-1m DEM was used. The DHS method can provide accurate slopes along grassed flow channels and can be used to assess FDT systems using USLE-based models with high resolution and accuracy DEMs.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2414-:d:157350
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    References listed on IDEAS

    as
    1. Zhengyong Zhao & Glenn Benoy & Thien Chow & Herb Rees & Jean-Louis Daigle & Fan-Rui Meng, 2010. "Impacts of Accuracy and Resolution of Conventional and LiDAR Based DEMs on Parameters Used in Hydrologic Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1363-1380, May.
    2. 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.
    3. 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.
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    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).

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