Classification of Sediment Quality according to Its Behavior in the Accelerated Particle Wear Test (APW)
José I. Pagán,
Antonio J. Tenza-Abril,
Luis Aragonés,
Yolanda Villacampa and
Isabel López
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José I. Pagán: Department of Civil Engineering, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain
Antonio J. Tenza-Abril: Department of Civil Engineering, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain
Luis Aragonés: Department of Civil Engineering, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain
Yolanda Villacampa: Department of Applied Mathematics, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain
Isabel López: Department of Civil Engineering, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain
Sustainability, 2021, vol. 13, issue 5, 1-10
Abstract:
One of the main problems faced in coastal management is the loss or destruction of beaches due to erosion. A considerable diversity of factors is involved in coastal erosion, which makes it a complex system to study. The quality of the material that constitutes the beach, as well as the choice of appropriate materials for its nourishment are two of the main ones. Therefore, to make future nourishment projects more sustainable and durable, this work proposes a sediment quality classification based on the physical properties and wear process obtained through laboratory tests. The study of these variables, using principal component analysis, discriminant analysis and ANOVA, has divided the quality of 70 samples into three main groups. A Sediment Quality Classification Index (SQCI) is proposed, which categorizes the quality of the material into poor, regular or good, providing the coastal engineer with a simple tool to ensure more sustainable beach nourishments.
Keywords: beach nourishment; sediment; quality; classification; PCA; discriminant analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:5:p:2633-:d:508541
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