SMCε, a coastal modeling system for assessing beach processes and coastal interventions: Application to the Brazilian coast

Abstract A user-friendly system designed to understand local littoral processes and design/evaluate coastal interventions, named the Coastal Modeling System (SMCe) is presented. The system, which comprises a set of numerical models, state-of-the-art methodologies and numerical databases, is prepared to provide a method for coastal practitioners, researchers and decision-makers to address coastal issues, such as erosion and flooding or to evaluate coastal defense structures. The system incorporates a method to transfer numerically generated, calibrated and validated wave series to the surf zone; to estimate the sediment littoral drift by means of up-to-date formulations; and to estimate the flooding level and impacts such as those produced by climate change. In this paper, these skills are detailed. The system, which is adaptable to any coastal region, was implemented for the Brazilian coast (SMC-Brasil). The implementation includes databases and methodological adaptations to local characteristics, a dissemination plan and the development of several study cases.

[1]  J. William Kamphuis,et al.  ALONGSHORE SEDIMENT TRANSPORT RATE , 1991 .

[2]  Roberto Mínguez,et al.  Regression Models for Outlier Identification (Hurricanes and Typhoons) in Wave Hindcast Databases , 2012 .

[3]  Tomoya Shibayama,et al.  Energy Dissipation Model for Regular and Irregular Breaking Waves , 1998 .

[4]  J. Nicolodi,et al.  Brazilian Coastal Processes: Wind, Wave Climate and Sea Level , 2016 .

[5]  J. A. Battjes,et al.  ENERGY LOSS AND SET-UP DUE TO BREAKING OF RANDOM WAVES , 1978 .

[6]  D. Stammer,et al.  Projecting twenty-first century regional sea-level changes , 2014, Climatic Change.

[7]  J. S. Schoonees,et al.  IMPROVEMENT OF THE MOST ACCURATE LONGSHORE TRANSPORT FORMULA , 1997 .

[8]  P. Camus,et al.  A hybrid efficient method to downscale wave climate to coastal areas , 2011 .

[9]  Inigo J. Losada,et al.  A Global Ocean Wave (GOW) calibrated reanalysis from 1948 onwards , 2012 .

[10]  Inigo J. Losada,et al.  Directional Calibration of Wave Reanalysis Databases Using Instrumental Data , 2011 .

[11]  Edward B. Thornton,et al.  Transformation of wave height distribution , 1983 .

[12]  Eduardo Nuber Evolução morfológica e sedimentológica do Arco Praial de Massaguaçú, litoral norte de São Paulo , 2008 .

[13]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[14]  R. Dalrymple,et al.  Coastal Processes with Engineering Applications , 2001 .

[15]  N. Kraus,et al.  Cross-shore distribution of longshore sediment transport: comparison between predictive formulas and field measurements , 2001 .

[16]  Atilla Bayram,et al.  A new formula for the total longshore sediment transport rate , 2007 .

[17]  G. Egbert,et al.  Efficient Inverse Modeling of Barotropic Ocean Tides , 2002 .

[18]  J. Hsu,et al.  PARABOLIC BAY SHAPES AND APPLICATIONS. , 1989 .

[19]  P. Bruun Sea-Level Rise as a Cause of Shore Erosion , 1962 .

[20]  M. Losada,et al.  Dependence of coefficient K on grain size , 1993 .

[21]  P Willett,et al.  Comparison of algorithms for dissimilarity-based compound selection. , 1997, Journal of molecular graphics & modelling.

[22]  P. Nielsen,et al.  Wave Runup Distributions on Natural Beaches , 1991 .

[23]  A. Bennett,et al.  TOPEX/POSEIDON tides estimated using a global inverse model , 1994 .

[24]  James C. McWilliams,et al.  A method for computing horizontal pressure‐gradient force in an oceanic model with a nonaligned vertical coordinate , 2003 .

[25]  Mark E. Dickson,et al.  Dilemmas of modelling and decision-making in environmental research , 2018, Environ. Model. Softw..

[26]  A. D. da Silva,et al.  Coastal Erosion Case at Candeias Beach (NE-Brazil) , 2014 .

[27]  V. E. Amaro,et al.  Avaliação do clima de ondas da praia de Ponta Negra (RN, Brasil) através do uso do SMC-Brasil e sua contribuição à gestão costeira * , 2014 .

[28]  N. Booij,et al.  A third-generation wave model for coastal regions-1 , 1999 .

[29]  S. Lentz,et al.  Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE , 2002 .

[30]  Paul D. Bates,et al.  Evaluation of a coastal flood inundation model using hard and soft data , 2012, Environ. Model. Softw..

[31]  Andrés F. Osorio,et al.  An integrated coastal modeling system for analyzing beach processes and beach restoration projects, SMC , 2007, Comput. Geosci..

[32]  Marcel J. F. Stive,et al.  Re-evaluation and improvement of three commonly used bulk longshore sediment transport formulas , 2013 .

[33]  K. Lambeck,et al.  Estimates of the Regional Distribution of Sea Level Rise over the 1950–2000 Period , 2004 .

[34]  D. A. Barry,et al.  BeachWin: modelling groundwater effects on swash sediment transport and beach profile changes , 2002, Environ. Model. Softw..

[35]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[36]  M. Longuet-Higgins,et al.  Radiation stress and mass transport in gravity waves, with application to ‘surf beats’ , 1962, Journal of Fluid Mechanics.

[37]  Roger A. Falconer,et al.  Development of an integrated model for assessing the impact of diffuse and point source pollution on coastal waters , 2007, Environ. Model. Softw..

[38]  Raúl Medina,et al.  On the application of static equilibrium bay formulations to natural and man-made beaches , 2001 .

[39]  R. Franke Scattered data interpolation: tests of some methods , 1982 .

[40]  W. Peltier Chapter 4 Global glacial isostatic adjustment and modern instrumental records of relative sea level history , 2001 .