Next Article in Journal
Suggesting a Framework for Performance Evaluation of Tourist Attractions: A Balance Score Approach
Next Article in Special Issue
Constructability Criteria for Farmland Reclamation and Vegetable Cultivation Using Micro-Dam Sediments in Tigray, Ethiopia
Previous Article in Journal
Clothing Lifespans: What Should Be Measured and How
Previous Article in Special Issue
Effects of Landscape Changes on Soil Erosion in the Built Environment: Application of Geospatial-Based RUSLE Technique
Open AccessArticle

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

1
Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
2
Disaster Prevention Technology Research Center, Sinotech Engineering Consultants, Taipei 11494, Taiwan
3
Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(15), 6221; https://doi.org/10.3390/su12156221
Received: 3 June 2020 / Revised: 24 July 2020 / Accepted: 30 July 2020 / Published: 2 August 2020
(This article belongs to the Special Issue Soil Erosion and Sustainable Land Management (SLM))
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 SDRw and determines the geospatial distribution of individual SDRi and SY in its sub-watersheds. Furthermore, this research considers the statistical and geospatial distribution of SDRi across the two discretizations of sub-watersheds in the study area. It shows the probability density function (PDF) of the SDRi. The watershed-specific coefficient (β) of SDRi 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 SDRw/SDRi 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. View Full-Text
Keywords: sediment delivery distributed model; sediment yield; SEDD; sediment delivery ratio; β coefficient; Shihmen Reservoir watershed sediment delivery distributed model; sediment yield; SEDD; sediment delivery ratio; β coefficient; Shihmen Reservoir watershed
Show Figures

Figure 1

MDPI and ACS Style

Thomas, K.; Chen, W.; Lin, B.-S.; Seeboonruang, U. Evaluation of the SEdiment Delivery Distributed (SEDD) Model in the Shihmen Reservoir Watershed. Sustainability 2020, 12, 6221.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop