2020
DOI: 10.1016/j.ecss.2020.106603
|View full text |Cite
|
Sign up to set email alerts
|

Hydrodynamics at a microtidal inlet: Analysis of propagation of the main wave components

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
17
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1

Relationship

4
4

Authors

Journals

citations
Cited by 24 publications
(19 citation statements)
references
References 37 publications
2
17
0
Order By: Relevance
“…This is estimated as θ 0,l = θ 0 − θ coast , where θ coast ≈ 45 • is the angle between the normal to the coast and the North. As with the numerical simulations presented in [31] and in agreement with recent field observations of swell waves along the Senigallia coast during calm states and storm tales [52], long-crested waves with no directional spreading and T p = (5-10) s have been reproduced. Since the NSWE solver needs to be fed with both instantaneous water level and depth-averaged velocity, the spectral data of both baseline tests (Table 1) have been transformed into random free-surface time series using the method described in [53], which consists of the following steps: (i) spectrum discretization into a finite number of frequency intervals; (ii) setting of the wave characteristics of each frequency interval; (iii) summation of all waves (e.g., see [7]).…”
Section: The Numerical Simulationssupporting
confidence: 88%
“…This is estimated as θ 0,l = θ 0 − θ coast , where θ coast ≈ 45 • is the angle between the normal to the coast and the North. As with the numerical simulations presented in [31] and in agreement with recent field observations of swell waves along the Senigallia coast during calm states and storm tales [52], long-crested waves with no directional spreading and T p = (5-10) s have been reproduced. Since the NSWE solver needs to be fed with both instantaneous water level and depth-averaged velocity, the spectral data of both baseline tests (Table 1) have been transformed into random free-surface time series using the method described in [53], which consists of the following steps: (i) spectrum discretization into a finite number of frequency intervals; (ii) setting of the wave characteristics of each frequency interval; (iii) summation of all waves (e.g., see [7]).…”
Section: The Numerical Simulationssupporting
confidence: 88%
“…Moreover, one of the observed winter storms well penetrated within the MR was characterized by a direction almost perpendicular to the MR mouth. This led to an upriver propagation of all wave components during the storm, especially the IG band, while the sea/swell components experienced a large breakinginduced decay at the mouth [10]. Sediment samples and water-surface elevations recorded along the MR also suggested an upriver propagation of the tidal forcing up to distances larger than ~2 km from the estuary [9].…”
Section: Introductionmentioning
confidence: 93%
“…In this context, a series of field studies has been recently carried out to better understand the wave propagation within the microtidal estuary and final reach of the Misa River (MR hereafter), located in the municipality of Senigallia (Marche Region, Italy) and flowing into the middle Adriatic Sea [8][9][10]. Two experimental campaigns were undertaken in September 2013 and January 2014, aiming at characterizing the main forcing actions interacting in the estuarine region.…”
Section: Introductionmentioning
confidence: 99%
“…A third hydrometric station was operating during the analyzed period along the Tronto river, but this could not be used for the present analysis due to the strong tidal influence that is typically observed in microtidal environments, even some kilometers far from the river mouth [43].…”
Section: Baseflow Monitoring Strategymentioning
confidence: 99%