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Understanding and predicting wave erosion of marsh edges
Author(s) -
Marani M.,
D'Alpaos A.,
Lanzoni S.,
Santalucia M.
Publication year - 2011
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2011gl048995
Subject(s) - marsh , erosion , enhanced data rates for gsm evolution , geology , margin (machine learning) , predictive power , environmental science , computer science , geomorphology , ecology , physics , wetland , telecommunications , biology , quantum mechanics , machine learning
Margin lateral erosion is arguably the main mechanism leading to marsh loss in estuaries and lagoons worldwide. Our understanding of the mechanisms controlling marsh edge erosion is currently quite limited and current predictive models rely on empirical laws with limited general applicability. We propose here a simple theoretical treatment of the problem based on dimensional analysis. The identification of the variables controlling the problem and the application of Buckingham's theorem show, purely on dimensional grounds, that the rate of edge erosion and the incident wave power density are linearly related. The predictive ability of the derived relationship is then evaluated, positively, using new long‐term observations from the Venice lagoon (Italy) and by re‐interpreting data available in previous literature.