Sand transport measurements in Chioggia inlet,Venice lagoon: Theory versus observations |
| |
Authors: | Monique M. Villatoro Carl L. Amos Georg Umgiesser Christian Ferrarin Luca Zaggia Charlotte E.L. Thompson Daniele Are |
| |
Affiliation: | 1. University of Southampton, National Oceanography Centre, European Way, SO14 3ZH Southampton, UK;2. Consiglio Nazionale della Ricerca, Instituto Grande Masse, Castello 1364/a, 30122 Venice, Italy;3. Società per l’ Ecologia delle Lagune e delle Coste, Via dell’Elettricità 3/D, 30175 Marghera, Italy |
| |
Abstract: | This paper presents results of recent measurements of sand transport made in Chioggia inlet as part of an extensive monitoring programme in the Venetian inlets. Measurements were made in order: (1) to define a relationship between sand transport magnitude and tidal flow; (2) to derive the thresholds for sand transport; (3) to identify the dominant modes of transport; (4) to evaluate the concentration profiles of sand within the benthic boundary layer; (5) to compare bedload transport observations with model predictions using existent bedload formulae; and (6) to produce yearly estimates of bedload transport across the inlet. The vertical distribution of sand in the water column was sampled using modified Helley–Smith bedload samplers at three sites. Transport was found to vary according to the flow and bed grain size, with considerable temporal and spatial variability. A difference of up to three orders of magnitude in transport was observed through the inlet, with higher transport rates measured on the seaward part. The dominant mode of transport in the central inlet was suspension, while bedload was dominant in the mouths. The measured profiles of sand concentration varied with the tidal stage and seabed grain size according to the Rouse parameter (R). R was high at the inlet mouths (1<R<2), indicative of a well-developed bedload layer. The inverse movability number (Ws/U*) was also higher at these sites and appeared to be grain size dependant. Formulae for bedload transport were tested against field data; stochastic methods such as Einstein–Brown, Engelund–Hansen and Van Rijn produce the best fits. The coupled model SHYFEM-Sedtrans05 appears to simulate well observed transport for most conditions of flow. Long-term bedload predictions indicate a dominant export of sand, with a yearly average of 4500 m3. |
| |
Keywords: | Tidal inlets Sand transport Thresholds Profiles concentration Bedload samplers |
本文献已被 ScienceDirect 等数据库收录! |
|