IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i15p6221-d393597.html
   My bibliography  Save this article

Evaluation of the SEdiment Delivery Distributed (SEDD) Model in the Shihmen Reservoir Watershed

Author

Listed:
  • Kent Thomas

    (Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Walter Chen

    (Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Bor-Shiun Lin

    (Disaster Prevention Technology Research Center, Sinotech Engineering Consultants, Taipei 11494, Taiwan)

  • Uma Seeboonruang

    (Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand)

Abstract

The sediment delivery ratio (SDR) connects the weight of sediments eroded and transported from slopes of a watershed to the weight that eventually enters streams and rivers ending at the watershed outlet. For watershed management agencies, the estimation of annual sediment yield (SY) and the sediment delivery has been a top priority due to the influence that sedimentation has on the holding capacity of reservoirs and the annual economic cost of sediment-related disasters. This study establishes the SEdiment Delivery Distributed (SEDD) model for the Shihmen Reservoir watershed using watershed-wide SDR w and determines the geospatial distribution of individual SDR i and SY in its sub-watersheds. Furthermore, this research considers the statistical and geospatial distribution of SDR i across the two discretizations of sub-watersheds in the study area. It shows the probability density function (PDF) of the SDR i . The watershed-specific coefficient (β) of SDR i is 0.00515 for the Shihmen Reservoir watershed using the recursive method. The SY mean of the entire watershed was determined to be 42.08 t/ha/year. Moreover, maps of the mean SY by 25 and 93 sub-watersheds were proposed for watershed prioritization for future research and remedial works. The outcomes of this study can ameliorate future watershed remediation planning and sediment control by the implementation of geospatial SDR w /SDR i and the inclusion of the sub-watershed prioritization in decision-making. Finally, it is essential to note that the sediment yield modeling can be improved by increased on-site validation and the use of aerial photogrammetry to deliver more updated data to better understand the field situations.

Suggested Citation

  • Kent Thomas & Walter Chen & Bor-Shiun Lin & Uma Seeboonruang, 2020. "Evaluation of the SEdiment Delivery Distributed (SEDD) Model in the Shihmen Reservoir Watershed," Sustainability, MDPI, vol. 12(15), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6221-:d:393597
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/15/6221/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/15/6221/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bor-Shiun Lin & Chun-Kai Chen & Kent Thomas & Chen-Kun Hsu & Hsing-Chuan Ho, 2019. "Improvement of the K-Factor of USLE and Soil Erosion Estimation in Shihmen Reservoir Watershed," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    2. Kieu Anh Nguyen & Walter Chen & Bor-Shiun Lin & Uma Seeboonruang, 2020. "Using Machine Learning-Based Algorithms to Analyze Erosion Rates of a Watershed in Northern Taiwan," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    3. Saskia Keesstra & Gerben Mol & Jan De Leeuw & Joop Okx & Co Molenaar & Margot De Cleen & Saskia Visser, 2018. "Soil-Related Sustainable Development Goals: Four Concepts to Make Land Degradation Neutrality and Restoration Work," Land, MDPI, vol. 7(4), pages 1-20, November.
    4. Kieu Anh Nguyen & Walter Chen & Bor-Shiun Lin & Uma Seeboonruang & Kent Thomas, 2019. "Predicting Sheet and Rill Erosion of Shihmen Reservoir Watershed in Taiwan Using Machine Learning," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    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. Kieu Anh Nguyen & Walter Chen & Bor-Shiun Lin & Uma Seeboonruang, 2020. "Using Machine Learning-Based Algorithms to Analyze Erosion Rates of a Watershed in Northern Taiwan," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    2. Walter Chen & Kieu Anh Nguyen, 2022. "The New Island-Wide LS Factors of Taiwan, with Comparison with EU Nations," Sustainability, MDPI, vol. 14(5), pages 1-11, March.
    3. Kieu Anh Nguyen & Walter Chen & Bor-Shiun Lin & Uma Seeboonruang & Kent Thomas, 2019. "Predicting Sheet and Rill Erosion of Shihmen Reservoir Watershed in Taiwan Using Machine Learning," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    4. Asghari, Shiva & Zeinalzadeh, Kamran & Kheirfam, Hossein & Habibzadeh Azar, Behnam, 2022. "The impact of cyanobacteria inoculation on soil hydraulic properties at the lab-scale experiment," Agricultural Water Management, Elsevier, vol. 272(C).
    5. Sheikh Adil Edrisi & Vishal Tripathi & Purushothaman Chirakkuzhyil Abhilash, 2019. "Performance Analysis and Soil Quality Indexing for Dalbergia sissoo Roxb. Grown in Marginal and Degraded Land of Eastern Uttar Pradesh, India," Land, MDPI, vol. 8(4), pages 1-19, April.
    6. Ilaria Zambon & Artemi Cerdà & Sirio Cividino & Luca Salvati, 2019. "The (Evolving) Vineyard’s Age Structure in the Valencian Community, Spain: A New Demographic Approach for Rural Development and Landscape Analysis," Agriculture, MDPI, vol. 9(3), pages 1-13, March.
    7. Ilaria Zambon & Artemi Cerdà & Filippo Gambella & Gianluca Egidi & Luca Salvati, 2019. "Industrial Sprawl and Residential Housing: Exploring the Interplay between Local Development and Land-Use Change in the Valencian Community, Spain," Land, MDPI, vol. 8(10), pages 1-18, September.
    8. Fullana-Pericàs, Mateu & Conesa, Miquel À. & Douthe, Cyril & El Aou-ouad, Hanan & Ribas-Carbó, Miquel & Galmés, Jeroni, 2019. "Tomato landraces as a source to minimize yield losses and improve fruit quality under water deficit conditions," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    9. Saskia Keesstra & Saskia Visser & Margot De Cleen, 2021. "Achieving Land Degradation Neutrality: A Robust Soil System Forms the Basis for Nature-Based Solutions," Land, MDPI, vol. 10(12), pages 1-4, November.
    10. Zheng, Haijin & Nie, Xiaofei & Liu, Zhao & Mo, Minghao & Song, Yuejun, 2021. "Identifying optimal ridge practices under different rainfall types on runoff and soil loss from sloping farmland in a humid subtropical region of Southern China," Agricultural Water Management, Elsevier, vol. 255(C).
    11. Jesús Barrena-González & Jesús Rodrigo-Comino & Yeboah Gyasi-Agyei & Manuel Pulido Fernández & Artemi Cerdà, 2020. "Applying the RUSLE and ISUM in the Tierra de Barros Vineyards (Extremadura, Spain) to Estimate Soil Mobilisation Rates," Land, MDPI, vol. 9(3), pages 1-17, March.
    12. Purushothaman Chirakkuzhyil Abhilash, 2021. "Restoring the Unrestored: Strategies for Restoring Global Land during the UN Decade on Ecosystem Restoration (UN-DER)," Land, MDPI, vol. 10(2), pages 1-19, February.
    13. Lucio Di Matteo & Alessandro Spigarelli & Sofia Ortenzi, 2020. "Processes in the Unsaturated Zone by Reliable Soil Water Content Estimation: Indications for Soil Water Management from a Sandy Soil Experimental Field in Central Italy," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
    14. Saskia Keesstra & Jeroen Veraart & Jan Verhagen & Saskia Visser & Marit Kragt & Vincent Linderhof & Wilfred Appelman & Jolanda van den Berg & Ayodeji Deolu-Ajayi & Annemarie Groot, 2023. "Nature-Based Solutions as Building Blocks for the Transition towards Sustainable Climate-Resilient Food Systems," Sustainability, MDPI, vol. 15(5), pages 1-20, March.
    15. Valencia Torres, Angélica & Tiwari, Chetan & Atkinson, Samuel F., 2021. "Progress in ecosystem services research: A guide for scholars and practitioners," Ecosystem Services, Elsevier, vol. 49(C).
    16. Mulat Guadie & Eyayu Molla & Mulatie Mekonnen & Artemi Cerdà, 2020. "Effects of Soil Bund and Stone-Faced Soil Bund on Soil Physicochemical Properties and Crop Yield Under Rain-Fed Conditions of Northwest Ethiopia," Land, MDPI, vol. 9(1), pages 1-15, January.
    17. Abou-Soufianou Sadda & Maud Loireau & Nouhou Salifou Jangorzo & Hassane Bil-Assanou Issoufou & Jean-Luc Chotte, 2023. "Standardized Description of Degraded Land Reclamation Actions and Mapping of Actors’ Roles: A Key Step for Action in Combatting Desertification (Niger)," Land, MDPI, vol. 12(5), pages 1-17, May.
    18. Meine van Noordwijk, 2021. "Agroforestry-Based Ecosystem Services: Reconciling Values of Humans and Nature in Sustainable Development," Land, MDPI, vol. 10(7), pages 1-24, July.
    19. Ali Keshavarzi & Vinod Kumar & Eduardo Leonel Bottega & Jesús Rodrigo-Comino, 2019. "Determining Land Management Zones Using Pedo-Geomorphological Factors in Potential Degraded Regions to Achieve Land Degradation Neutrality," Land, MDPI, vol. 8(6), pages 1-14, June.
    20. Jihui Fan & Artemis Motamedi & Majid Galoie, 2021. "Impact of C factor of USLE technique on the accuracy of soil erosion modeling in elevated mountainous area (case study: the Tibetan plateau)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12615-12630, August.

    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:gam:jsusta:v:12:y:2020:i:15:p:6221-:d:393597. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.