119
Views
11
CrossRef citations to date
0
Altmetric
Research Articles

Characterization of beach run-up patterns in Bagnoli bay during ABBACO project

ORCID Icon, , , , , , & show all
Pages 619-636 | Received 12 Jan 2020, Accepted 12 Mar 2020, Published online: 02 Jul 2020

References

  • Small C, Nicholls RJ. A global analysis of human settlement in coastal zones. J Coast Res. 2003;19(3):584–599.
  • Di Paola G, Aucelli PPC, Benassai G, et al. Coastal vulnerability to wave storms of Sele littoral plain (Southern Italy). Nat Hazards. 2014;71(3):1795–1819. doi: 10.1007/s11069-013-0980-8
  • Benassai G, Di Paola G, Aucelli PPC. Coastal risk assessment of a micro-tidal littoral plain in response to sea level rise. Ocean Coast Manag. 2015;104:22–35. doi: 10.1016/j.ocecoaman.2014.11.015
  • Montuori A, de Ruggiero P, Migliaccio M, et al. Wind speed retrieval by means of x-band COSMO-SkyMed SAR data, with application to coastal circulation modeling. Proceedings of the ESA, SOLAS & EGU Joint Conference Earth Observation for Ocean-Atmosphere Interactions Science, held on 29 November - 2 December 2011 at Frascati in Italy. Edited by L. Ouwehand. ESA-SP Vol. 703, 2012, id.26.
  • Benassai G, Migliaccio M, Montuori A. Sea wave numerical simulations with COSMO-SkyMed© SAR data. J Coast Res. 2013;65(sp1):660–665. doi: 10.2112/SI65-112.1
  • Benassai G, Montuori A, Migliaccio M, et al. Sea wave modeling with x-band COSMO-SkyMed© SAR-derived wind field forcing and applications in coastal vulnerability assessment. Ocean Sci. 2013;9(2):325. doi: 10.5194/os-9-325-2013
  • Vousdoukas MI, Wziatek D, Almeida LP. Coastal vulnerability assessment based on video wave run-up observations at a mesotidal, steep-sloped beach. Ocean Dyn. 2012;62(1):123–137. doi: 10.1007/s10236-011-0480-x
  • Davidson M, Van Koningsveld M, de Kruif A, et al. The coastview project: developing video-derived coastal state indicators in support of coastal zone management. Coast Eng. 2007;54(6–7):463–475. doi: 10.1016/j.coastaleng.2007.01.007
  • Stockdon HF, Holman RA, Howd PA, et al. Empirical parameterization of setup, swash, and runup. Coast Eng. 2006;53(7):573–588. doi: 10.1016/j.coastaleng.2005.12.005
  • Aagaard T, Holm J. Digitization of wave run-up using video records. J Coast Res. 1989;5(3):547–551.
  • Benassai G, Aucelli P, Budillon G, et al. Rip current evidence by hydrodynamic simulations, bathymetric surveys and UAV observation. Nat Hazards Earth Syst Sci. 2017;17(9):1493–1503. doi: 10.5194/nhess-17-1493-2017
  • Pugliano G, Robustelli U, Di Luccio D, et al. Statistical deviations in shoreline detection obtained with direct and remote observations. J Marine Sci Eng. 2019;7(5):137. doi: 10.3390/jmse7050137
  • Romano E, Ausili A, Zharova N, et al. Marine sediment contamination of an industrial site at port of Bagnoli, gulf of naples, Southern Italy. Mar Pollut Bull. 2004;49(5–6):487–495. doi: 10.1016/j.marpolbul.2004.03.014
  • Pennetta M, Valente A, Abate D, et al. Influenza della morfologia costiera sulla circolazione e sedimentazione sulla piattaforma continentale campano-laziale tra cuma e gaeta (italia meridionale). 1998.
  • de Ruggiero P. A high-resolution ocean circulation model of the gulf of naples and adjacent areas. Nuovo Cimento C (Print). 2013;36(4):143–150.
  • de Ruggiero P, Napolitano E, Iacono R, et al. A high-resolution modelling study of the circulation along the campania coastal system, with a special focus on the gulf of naples. Cont Shelf Res. 2016;122:85–101. doi: 10.1016/j.csr.2016.03.026
  • Wright LD, Short AD. Morphodynamic variability of surf zones and beaches: a synthesis. Mar Geol. 1984;56(1–4):93–118. doi: 10.1016/0025-3227(84)90008-2
  • Somma R, Iuliano S, Matano F, et al. High-resolution morpho-bathymetry of Pozzuoli Bay, Southern Italy. J Maps. 2016;12(2):222–230. doi: 10.1080/17445647.2014.1001800
  • Folk RL. Petrology of sedimentary rocks. Austin (TX): Hemphill Publishing Company; 1980.
  • Montella R, Brizius A, Di Luccio D, et al. Applications of the face-it portal and workflow engine for operational food quality prediction and assessment: mussel farm monitoring in the bay of Napoli, Italy; 2016.
  • Montella R, Brizius A, Di Luccio D, et al. Using the face-it portal and workflow engine for operational food quality prediction and assessment: an application to mussel farms monitoring in the bay of Napoli, Italy. Future Gener Comput Syst. in press. https://www.sciencedirect.com/science/article/pii/S0167739X16308305.
  • Skamarock WC, Klemp JB, Dudhia J. Prototypes for the WRF (weather research and forecasting) model. Preprints, Ninth Conf. Mesoscale Processes, J11–J15. Fort Lauderdale: American Meteorological Society; 2001.
  • Tolman HL. User manual and system documentation of WaveWatch III TM version 3.14. Tech Note MMAB Contrib. 2009;276:220.
  • Di Luccio D, Benassai G, Budillon G, et al. Wave run-up prediction and observation in a micro-tidal beach. Nat Hazards Earth Syst Sci Discuss. 2017;2017:1–21. Available from: https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2017-252/.
  • Montella R, Di Luccio D, Kosta S. Dagon*: executing direct acyclic graphs as parallel jobs on anything. 2018 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS). IEEE; 2018. p. 64–73.
  • Leonard BP. A stable and accurate convective modelling procedure based on quadratic upstream interpolation. Comput Methods Appl Mech Eng. 1979;19(1):59–98. doi: 10.1016/0045-7825(79)90034-3
  • Tolman HL. Alleviating the garden sprinkler effect in wind wave models. Ocean Model. 2002;4(3):269–289. doi: 10.1016/S1463-5003(02)00004-5
  • Hasselmann S, Hasselmann K. Computations and parameterizations of the nonlinear energy transfer in a gravity-wave spectrum. part I: a new method for efficient computations of the exact nonlinear transfer integral. J Phys Oceanogr. 1985;15(11):1369–1377. doi: 10.1175/1520-0485(1985)015<1369:CAPOTN>2.0.CO;2
  • Tolman HL, Chalikov D. Source terms in a third-generation wind wave model. J Phys Oceanogr. 1996;26(11):2497–2518. doi: 10.1175/1520-0485(1996)026<2497:STIATG>2.0.CO;2
  • Cavaleri L, Rizzoli PM. Wind wave prediction in shallow water: theory and applications. J Geophys Res. 1981;86(C11):10961–10973. doi: 10.1029/JC086iC11p10961
  • Tolman HL. Effects of numerics on the physics in a third-generation wind-wave model. J Phys Oceanogr. 1992;22(10):1095–1111. doi: 10.1175/1520-0485(1992)022<1095:EONOTP>2.0.CO;2
  • Hasselmann K. Measurements of wind wave growth and swell decay during the joint north sea wave project (jonswap). Dtsch Hydrogr Z. 1973;8:95.
  • Battjes JA, Janssen J. Energy loss and set-up due to breaking of random waves. Coast Eng. 1978;1978:569–587. doi: 10.1061/9780872621909.034
  • Benassai G, Ascione I. Implementation and validation of wave watch III model offshore the coastlines of Southern Italy. 25th International Conference on Offshore Mechanics and Arctic Engineering. American Society of Mechanical Engineers Digital Collection; 2006. p. 553–560.
  • VanderMeer J, Allsop N, Bruce T, et al. Eurotop: manual on wave overtopping of sea defences and related structures –an overtopping manual largely based on European research, but for worldwide application; 2016.
  • Holman R. Extreme value statistics for wave run-up on a natural beach. Coast Eng. 1986;9(6):527–544. doi: 10.1016/0378-3839(86)90002-5
  • Mase H. Random wave runup height on gentle slope. J Waterway Port Coast Ocean Eng. 1989;115(5):649–661. doi: 10.1061/(ASCE)0733-950X(1989)115:5(649)
  • Poate TG, McCall RT, Masselink G. A new parameterisation for runup on gravel beaches. Coast Eng. 2016;117:176–190. doi: 10.1016/j.coastaleng.2016.08.003
  • Shore Protection Manual. Department of the army, waterways experiment station, corps of engineers. Coastal engineering Research Center. Vol. 2. 1984.
  • Fenton JD, McKee W. On calculating the lengths of water waves. Coast Eng. 1990;14(6):499–513. doi: 10.1016/0378-3839(90)90032-R
  • Robustelli U, Baiocchi V, Pugliano G. Assessment of dual frequency GNSS observations from a Xiaomi MI 8 android smartphone and positioning performance analysis. Electronics (Switzerland). 2019;8(1):91.
  • Holland KT, Holman RA. Video estimation of foreshore topography using trinocular stereo. J Coast Res. 1997;13(1):81–87.
  • Mucerino L, Albarella M, Carpi L, et al. Coastal exposure assessment on Bonassola bay. Ocean Coast Manag. 2019;167:20–31. doi: 10.1016/j.ocecoaman.2018.09.015
  • Brignone M, Schiaffino CF, Isla FI, et al. A system for beach video-monitoring: beachkeeper plus. Comput Geosci. 2012;49:53–61. doi: 10.1016/j.cageo.2012.06.008
  • Almar R, Ranasinghe R, Sénéchal N, et al. Video-based detection of shorelines at complex meso–macro tidal beaches. J Coast Res. 2012;28(5):1040–1048. doi: 10.2112/JCOASTRES-D-10-00149.1
  • Albanese S, De Vivo B, Lima A, et al. Geochemical baselines and risk assessment of the Bagnoli brownfield site coastal sea sediments (Naples, Italy). J Geochem Explor. 2010;105(1–2):19–33. doi: 10.1016/j.gexplo.2010.01.007
  • Benassai G, Di Luccio D, Corcione V, et al. Marine spatial planning using high-resolution synthetic aperture radar measurements. IEEE J Ocean Eng. 2018;43(3):586–594. doi: 10.1109/JOE.2017.2782560
  • Di Luccio D, Benassai G, Di Paola G, et al. Monitoring and modelling coastal vulnerability and mitigation proposal for an archaeological site (Kaulonia, Southern Italy). Sustainability. 2018;10(6):2017. doi: 10.3390/su10062017
  • Montella R, Di Luccio D, Marcellino L, et al. Workflow-based automatic processing for internet of floating things crowdsourced data. Future Gener Comput Syst. 2019;94:103–119. doi: 10.1016/j.future.2018.11.025
  • Valentini N, Saponieri A, Danisi A, et al. Exploiting remote imagery in an embayed sandy beach for the validation of a runup model framework. Estuar Coast Shelf Sci. 2019;225:106244. doi: 10.1016/j.ecss.2019.106244
  • Roelvink D, Reniers A, Van Dongeren A, et al. Xbeach model description and manual. UNESCO-IHE Institute for Water Education, Deltares and Delft University of Technology; 2010 (Report; 2010).
  • Barnard PL, van Ormondt M, Erikson LH, et al. Development of the coastal storm modeling system (cosmos) for predicting the impact of storms on high-energy, active-margin coasts. Nat Hazards. 2014;74(2):1095–1125. doi: 10.1007/s11069-014-1236-y

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.