Assessment of drainage network analysis methods to rank sediment yield hotspots

Article

Sepehri, Mehdi, Ghahramani, Afshin, Kiani-Harchegani, Mahboobeh, Ildoromi, Ali Reza, Talebi, Ali and Rodrigo-Comino, Jesus. 2021. "Assessment of drainage network analysis methods to rank sediment yield hotspots." Hydrological Sciences Journal. 66 (5), pp. 904-918. https://doi.org/10.1080/02626667.2021.1899183
Article Title

Assessment of drainage network analysis methods to rank sediment yield hotspots

ERA Journal ID30188
Article CategoryArticle
AuthorsSepehri, Mehdi (Author), Ghahramani, Afshin (Author), Kiani-Harchegani, Mahboobeh (Author), Ildoromi, Ali Reza (Author), Talebi, Ali (Author) and Rodrigo-Comino, Jesus (Author)
Journal TitleHydrological Sciences Journal
Journal Citation66 (5), pp. 904-918
Number of Pages15
Year2021
Place of PublicationUnited Kingdom
ISSN0262-6667
2150-3435
Digital Object Identifier (DOI)https://doi.org/10.1080/02626667.2021.1899183
Web Address (URL)https://www.tandfonline.com/doi/full/10.1080/02626667.2021.1899183
Abstract

This paper aims to test different methods used for assessing the indices of sediment yield to identify hotspots and rank sediment yield hotspots. This process includes the assessment of the Entropy Weighting (EW), Fractal Dimension (FD), Slope Length (SL) gradient, and Sediment Connectivity (SC) methods. The indices at different sub-catchment levels were applied in the Ilanlu catchment (Iran) and organized based on five different levels of sediment hazard classes. To assess the performance of sediment hazard mapping, the superimposing methods were used and assessed by the Erosion Potential Model (EPM). The superimposing method showed that 8, 10, 4 and 9 sub-catchments based on the degree of susceptibility obtain the highest results considering the results of FD, EW, SL and SC with an output of EPM model, respectively. The results show that EW and SC can achieve greater performance than FD and SL methods in identifying sediment production hotspots.

KeywordsCluster analysis, sediment yield, modelling, soil erosion
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020300201. Agricultural hydrology
370799. Hydrology not elsewhere classified
370704. Surface water hydrology
419999. Other environmental sciences not elsewhere classified
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsYazd University, Iran
Centre for Sustainable Agricultural Systems
Malayer University, Iran
University of Valencia, Spain
Institution of OriginUniversity of Southern Queensland
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