Assessment of drainage network analysis methods to rank sediment yield hotspots

Sepehri, Mehdi and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Kiani-Harchegani, Mahboobeh and Ildoromi, Ali Reza and Talebi, Ali and Rodrigo-Comino, Jesus (2021) Assessment of drainage network analysis methods to rank sediment yield hotspots. Hydrological Sciences Journal. pp. 1-46. ISSN 0262-6667


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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Sustainable Agricultural Systems (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Sustainable Agricultural Systems (1 Aug 2018 -)
Date Deposited: 10 Mar 2021 05:42
Last Modified: 10 Mar 2021 05:42
Uncontrolled Keywords: Cluster analysis, sediment yield, modelling, soil erosion
Fields of Research (2008): 05 Environmental Sciences > 0599 Other Environmental Sciences > 059999 Environmental Sciences not elsewhere classified
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040608 Surfacewater Hydrology
07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
Fields of Research (2020): 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300201 Agricultural hydrology
37 EARTH SCIENCES > 3707 Hydrology > 370799 Hydrology not elsewhere classified
37 EARTH SCIENCES > 3707 Hydrology > 370704 Surface water hydrology
41 ENVIRONMENTAL SCIENCES > 4199 Other environmental sciences > 419999 Other environmental sciences not elsewhere classified
Socio-Economic Objectives (2008): D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified
Socio-Economic Objectives (2020): 18 ENVIRONMENTAL MANAGEMENT > 1803 Fresh, ground and surface water systems and management > 180308 Surface water quantification, allocation and impact of depletion
Identification Number or DOI: https://doi.org/10.1080/02626667.2021.1899183
URI: http://eprints.usq.edu.au/id/eprint/41525

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