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R. López-Úbeda
Department of Civil Engineering, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain

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Journal article
Published: 01 March 2021 in Sustainability
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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.

ACS Style

José Pagán; Antonio Tenza-Abril; Luis Aragonés; Yolanda Villacampa; Isabel López. Classification of Sediment Quality according to Its Behavior in the Accelerated Particle Wear Test (APW). Sustainability 2021, 13, 2633 .

AMA Style

José Pagán, Antonio Tenza-Abril, Luis Aragonés, Yolanda Villacampa, Isabel López. Classification of Sediment Quality according to Its Behavior in the Accelerated Particle Wear Test (APW). Sustainability. 2021; 13 (5):2633.

Chicago/Turabian Style

José Pagán; Antonio Tenza-Abril; Luis Aragonés; Yolanda Villacampa; Isabel López. 2021. "Classification of Sediment Quality according to Its Behavior in the Accelerated Particle Wear Test (APW)." Sustainability 13, no. 5: 2633.

Journal article
Published: 01 April 2020 in Journal of Marine Science and Engineering
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Urbanization and anthropogenic activities have generated significant imbalances in coastal areas. This study analysed the shoreline evolution of the Bay of Cullera (Spain), characterized by strong urban and tourist pressure and with important human interventions during the last century. The evolution of the shoreline was analysed using 60 years of aerial images since the 1950s of the seabed, the maritime climate and the distribution of sediment, as well as anthropogenic actions, such as urban development or the channelling of the Júcar River through the integration of information in a geographical information system (GIS). The results showed: (i) Changes in land-use, in which the substitution of the crop and mountain areas by urban areas was mainly observed. (ii) A general increase in the beach area, although there were important periods of erosion in some points due to anthropic actions. (iii) A significant decrease in the median sediment size in the whole bay since 1987, with a current D50 of 0.125–0.180 mm. The analysis carried out has made it possible to identify trends in coastal accumulation and regression in the different sections of the sector, as well as to demonstrate the usefulness and advantages of GIS.

ACS Style

José Ignacio Pagán; Isabel López; Luis Bañón; Luis Aragonés. Consequences of Anthropic Actions in Cullera Bay (Spain). Journal of Marine Science and Engineering 2020, 8, 240 .

AMA Style

José Ignacio Pagán, Isabel López, Luis Bañón, Luis Aragonés. Consequences of Anthropic Actions in Cullera Bay (Spain). Journal of Marine Science and Engineering. 2020; 8 (4):240.

Chicago/Turabian Style

José Ignacio Pagán; Isabel López; Luis Bañón; Luis Aragonés. 2020. "Consequences of Anthropic Actions in Cullera Bay (Spain)." Journal of Marine Science and Engineering 8, no. 4: 240.

Conference paper
Published: 01 January 2020 in Proceedings e report
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The historical evolution of sandy beaches on the coast of Alicante (Spain) has been analysed from aerial images from 1956 to 2019. The beach nourishments carried out in the 1990s to avoid coastal damages and to improve the touristic offer were studied. Shoreline evolution and beach surface has been obtained using GIS. The change of the sediment composition, from gravel to sand, due to the fills has caused a relevant imbalance. Beach nourishments failed its main aim of avoiding the shoreline erosion, causing environmental damages to the nearby Posidonia oceanica meadows.

ACS Style

José Ignacio Pagán; Isabel López; Luis Aragonés; Antonio J. Tenza-Abril. Experiences with beach nourishments on the coast of Alicante, Spain. Proceedings e report 2020, 441 -450.

AMA Style

José Ignacio Pagán, Isabel López, Luis Aragonés, Antonio J. Tenza-Abril. Experiences with beach nourishments on the coast of Alicante, Spain. Proceedings e report. 2020; ():441-450.

Chicago/Turabian Style

José Ignacio Pagán; Isabel López; Luis Aragonés; Antonio J. Tenza-Abril. 2020. "Experiences with beach nourishments on the coast of Alicante, Spain." Proceedings e report , no. : 441-450.

Conference paper
Published: 01 January 2020 in Proceedings e report
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The main objective to this work is to establish a relationship between shoreline evolution and sediment wear. The shoreline evolution trend is similar to of the results obtained by the accelerated particle wear test (APW). However, the relationship between the number of APW test cycles and the years of shoreline evolution is not clear. In Guardamar beach the ratio (years/cycles) is 9.7, in Marineta Casiana beach (it is 5.6, and in Arenal beach it is 3. Differences may be due to the different mineralogical composition and morphology of the sand particles.

ACS Style

Isabel López; José Ignacio Pagán; Antonio J. Tenza-Abril; Luis Aragonés; Luis Bañón. Relationship between shoreline evolution and sediment wear. Proceedings e report 2020, 432 -440.

AMA Style

Isabel López, José Ignacio Pagán, Antonio J. Tenza-Abril, Luis Aragonés, Luis Bañón. Relationship between shoreline evolution and sediment wear. Proceedings e report. 2020; ():432-440.

Chicago/Turabian Style

Isabel López; José Ignacio Pagán; Antonio J. Tenza-Abril; Luis Aragonés; Luis Bañón. 2020. "Relationship between shoreline evolution and sediment wear." Proceedings e report , no. : 432-440.

Journal article
Published: 30 August 2019 in Journal of Marine Science and Engineering
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In the past few years, unmanned aerial systems (UAS) have achieved great popularity for civil uses. One of the present main uses of these devices is low-cost aerial photogrammetry, being especially useful in coastal environments. In this work, a high-resolution 3D model of a beach section in Guardamar del Segura (Spain) has been produced by employing a low maximum takeoff mass (MTOM) UAS, in combination with the use of structure-from-motion (SfM) techniques. An unprecedented extensive global navigation satellite system (GNSS) survey was simultaneously carried out to statistically validate the model by employing 1238 control points for that purpose. The results show good accuracy, obtaining a vertical root mean square error (RMSE) mean value of 0.121 m and a high point density, close to 30 pt/m2, with similar or even higher quality than most coastal surveys performed with classical techniques. UAS technology permits the acquisition of topographic data with low time-consuming surveys at a high temporal frequency. Coastal managers can implement this methodology into their workflow to study the evolution of complex, highly anthropized dune-beach systems such as the one presented in this study, obtaining more accurate surveys at lower costs.

ACS Style

Luis Bañón; José Ignacio Pagán; Isabel López; Carlos Banon; Luis Aragonés. Validating UAS-Based Photogrammetry with Traditional Topographic Methods for Surveying Dune Ecosystems in the Spanish Mediterranean Coast. Journal of Marine Science and Engineering 2019, 7, 297 .

AMA Style

Luis Bañón, José Ignacio Pagán, Isabel López, Carlos Banon, Luis Aragonés. Validating UAS-Based Photogrammetry with Traditional Topographic Methods for Surveying Dune Ecosystems in the Spanish Mediterranean Coast. Journal of Marine Science and Engineering. 2019; 7 (9):297.

Chicago/Turabian Style

Luis Bañón; José Ignacio Pagán; Isabel López; Carlos Banon; Luis Aragonés. 2019. "Validating UAS-Based Photogrammetry with Traditional Topographic Methods for Surveying Dune Ecosystems in the Spanish Mediterranean Coast." Journal of Marine Science and Engineering 7, no. 9: 297.

Articles
Published: 29 August 2018 in Marine Georesources & Geotechnology
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Artificial neural networks (ANN) have been widely used successfully to solve coastal engineering problems. In this article, they are used to model the cross-shore profile of sandy beaches taking into account the possible effect of marine vegetation (Posidonia oceanica). Sixty ANNs were generated by modifying both the inputs and the number of neurons in the hidden layer. The best results were obtained with the following inputs: wave height perpendicular to the coast and the associated period and probability of occurrence, median sediment size, profile slope, and energy reduction factor due to P. oceanica. With these inputs and 10 neurons in the hidden layer, a mean absolute error of 0.22 m during training and 0.21 m during the test was obtained, which represents an improvement of 81.2% and 55.5% compared to models without and with P. oceanica.

ACS Style

Isabel López; Luis Aragonés; Yolanda Villacampa. Modelling the cross-shore profiles of sand beaches using artificial neural networks. Marine Georesources & Geotechnology 2018, 37, 683 -694.

AMA Style

Isabel López, Luis Aragonés, Yolanda Villacampa. Modelling the cross-shore profiles of sand beaches using artificial neural networks. Marine Georesources & Geotechnology. 2018; 37 (6):683-694.

Chicago/Turabian Style

Isabel López; Luis Aragonés; Yolanda Villacampa. 2018. "Modelling the cross-shore profiles of sand beaches using artificial neural networks." Marine Georesources & Geotechnology 37, no. 6: 683-694.

Journal article
Published: 15 January 2018 in International Journal of Environmental Impacts: Management, Mitigation and Recovery
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Control of water quality of coastal waters is essential to ensure the safety of bathers. Therefore, the current legislation establishes maximum...

ACS Style

A. Palazón; L. Aragonés; I. López; R. López-Úbeda; J.M. Saval. Determination of the most influential factors in the concentration of bacteria in coastal waters. International Journal of Environmental Impacts: Management, Mitigation and Recovery 2018, 1, 61 -69.

AMA Style

A. Palazón, L. Aragonés, I. López, R. López-Úbeda, J.M. Saval. Determination of the most influential factors in the concentration of bacteria in coastal waters. International Journal of Environmental Impacts: Management, Mitigation and Recovery. 2018; 1 (1):61-69.

Chicago/Turabian Style

A. Palazón; L. Aragonés; I. López; R. López-Úbeda; J.M. Saval. 2018. "Determination of the most influential factors in the concentration of bacteria in coastal waters." International Journal of Environmental Impacts: Management, Mitigation and Recovery 1, no. 1: 61-69.

Original articles
Published: 31 October 2017 in Marine Georesources & Geotechnology
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The paper describes the training, validation, testing, and application of models of artificial neural networks (ANN) for computing the cross-shore beach profile of the sand beaches of the province of Valencia (Spain). Sixty ANN models were generated by modifying both the input variables as the number of neurons in the hidden layer. The input variables consist of wave data and sedimentological data. To select and evaluate the performance of the optimal model, the following parameters were used: R2, absolute error, mean absolute percentage error, and percentage relative error. Finally, the results are compared with the numerical model proposed by Aragonés et al. (2016b Aragonés, L., Y. Villacampa, F. J. Navarro-González, and I. López. 2016b. Numerical modelling of the equilibrium profile in Valencia (Spain). Ocean Engineering, 123:164–73. doi:10.1016/j.oceaneng.2016.07.036[Crossref], [Web of Science ®] [Google Scholar]) for the equilibrium profile in the study area. The results show a mean absolute error of 0.21 m compared to 0.33 m Aragones’ model, significantly improving the results of the numerical model in the bar area around de Valencia Port. In addition, when comparing the results with other methods currently used (Dean’s or Vellinga formulation), the errors of these compared to ANN are of the order of 167 and 1538% higher, respectively.

ACS Style

Isabel López; Luis Aragonés; Y. Villacampa; Patricia Compañ. Artificial neural network modeling of cross-shore profile on sand beaches: The coast of the province of Valencia (Spain). Marine Georesources & Geotechnology 2017, 36, 698 -708.

AMA Style

Isabel López, Luis Aragonés, Y. Villacampa, Patricia Compañ. Artificial neural network modeling of cross-shore profile on sand beaches: The coast of the province of Valencia (Spain). Marine Georesources & Geotechnology. 2017; 36 (6):698-708.

Chicago/Turabian Style

Isabel López; Luis Aragonés; Y. Villacampa; Patricia Compañ. 2017. "Artificial neural network modeling of cross-shore profile on sand beaches: The coast of the province of Valencia (Spain)." Marine Georesources & Geotechnology 36, no. 6: 698-708.

Journal article
Published: 01 October 2016 in Science of The Total Environment
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Sun. and beach tourism is very important to the economy of Spain, so the control of the quality of the environment on the beaches is essential. Therefore, the analysis and control of the quality of bathing water is necessary, which is defined by the European Directive 2006/7/EC as excellent, good or sufficient depending on the presence of microbiological contamination or other organisms or waste presenting a risk to bathers' health. For that, 1392 beaches of the Iberian Peninsula and its islands were analysed, taking into account: fecal bacteria (Escherichia coli and Enterococcus), physical characteristics of sediment, level of urbanization, climatic and anthropogenic factors, and maritime climate. Thus, it was observed that urban sand beaches located in seas with fewer hours of sunshine and important tide have higher concentrations of E. coli and Enterococcus. There is also an indirect relationship between these microorganisms with salinity (R(2) 0.746 for E. coli and 0.606 for Enterococcus), temperature (R(2) 0.743 for E. coli and 0.604 for Enterococcus) and hours of sunshine (R(2) 0.781 for E. coli and 0.706 for Enterococcus), while this relationship is direct with rainfall (R(2) 0.640 for E. coli and 0.607 for Enterococcus) or wave height (R(2) 0.769 for E. coli and 0.601 for Enterococcus). From all this, it follows that the Directive 2006/7/EC should define more specific criteria as to the place and time of sampling, and take into account the different environment variables that influence the survival of bacteria, so that the results may reflect reality, and avoid staff responsible for sampling freely choose the place and time of sampling.

ACS Style

L. Aragonés; I. López; A. Palazón; R. López-Úbeda; C. García. Evaluation of the quality of coastal bathing waters in Spain through fecal bacteria Escherichia coli and Enterococcus. Science of The Total Environment 2016, 566-567, 288 -297.

AMA Style

L. Aragonés, I. López, A. Palazón, R. López-Úbeda, C. García. Evaluation of the quality of coastal bathing waters in Spain through fecal bacteria Escherichia coli and Enterococcus. Science of The Total Environment. 2016; 566-567 ():288-297.

Chicago/Turabian Style

L. Aragonés; I. López; A. Palazón; R. López-Úbeda; C. García. 2016. "Evaluation of the quality of coastal bathing waters in Spain through fecal bacteria Escherichia coli and Enterococcus." Science of The Total Environment 566-567, no. : 288-297.