Data Analysis and Numerical Modelling to Detect Hydrodynamics and Sediment Transport in a semi Enclosed Basin

Francesca De Serio; Elvira Armenio; Diana De Padova; Michele Mossa

doi:10.29007/h936

Download PDF Open PDF in browser

Data Analysis and Numerical Modelling to Detect Hydrodynamics and Sediment Transport in a semi Enclosed Basin

9 pages•Published: September 20, 2018

Francesca De Serio, Elvira Armenio, Diana De Padova and Michele Mossa

Abstract

Current monitoring programs in the nearshore region are necessary to allow a thorough knowledge of coastline erosion as well as diffusion and dispersion of polluting tracers. Collecting a large amount of data in widespread areas is challenging, because of technical and economic limitations, thus numerical models are often preferred to simulate the hydrodynamics and the transport of tracers in extended areas with the desired level of precision. To be accurate, models need to be calibrated and validated by high quality field measurements. Therefore, to examine current and tracer patterns in a basin, using data and numerical modelling in conjunction could be the best practice. The aim of the present work is: i) to provide some information on the typical and recurrent processes occurring in a target basin, by analyzing a set of current field data; ii) to reproduce the principal current patterns and derive information on the possible sediment transport fluxes in the basin by applying mathematical modelling. The site selected for this study is a semi enclosed coastal sea, in southern Italy. The obtained results successfully confirm the typical hydrodynamic behavior of the basin, and delineate areas which are more exposed to erosion.

Keyphrases: Current patterns, field data, numerical modelling, sediment fluxes, semi-enclosed basin

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 526--534

Links:	https://easychair.org/publications/paper/KCbf
	https://doi.org/10.29007/h936

BibTeX entry

@inproceedings{HIC2018:Data_Analysis_and_Numerical,
  author    = {Francesca De Serio and Elvira Armenio and Diana De Padova and Michele Mossa},
  title     = {Data Analysis and Numerical Modelling to Detect Hydrodynamics and Sediment Transport in a semi Enclosed Basin},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {526--534},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/KCbf},
  doi       = {10.29007/h936}}

Download PDF Open PDF in browser