Platform of integrated tools to support environmental studies and management of dredging activities

Feola, Alessandra; Lisi, Iolanda; Salmeri, Andrea; Venti, Francesco; Pedroncini, Andrea; Gabellini, Massimo; Romano, Elena

doi:10.1016/j.jenvman.2015.10.022

Cited by 22 publications

(21 citation statements)

References 23 publications

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“…In the present case, following Equations (1) and (2) we have obtained the consistency ratios less than 0.1 (Table 10) for both physical and socio-economic matrixes, consequently these weights derived using AHP have been used to compute the PVI and SVI.…”

Section: Intensity Of Importancementioning

confidence: 79%

“…Some of the most relevant natural factors are: wave height and direction, wind, tide, sediment transport, sediment supply from rivers to sea, soil subsidence, relative sea level change, rainfall, frequency and intensity of extreme climate events, including storms. As well, among the main factors induced by man we can group: maritime constructions and coastal defence such as ports and barriers, which interfere with the dynamics of sediments [2]; construction of housing, industrial, recreational infrastructures; interventions in river basin management and regulation of watercourses to provide water resources for drinking, irrigation and industrial use, which induce alteration of vegetation and forest drainage [1].…”

Section: Introductionmentioning

confidence: 99%

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How to Define Priorities in Coastal Vulnerability Assessment

et al. 2018

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Awareness of coastal landscapes vulnerability to both natural and man-made hazards induce to monitor their evolution, adaptation, resilience and to develop appropriate defence strategies. The necessity to transform the monitoring results into useful information is the motivation of the present paper. Usually, to this scope, a coastal vulnerability index is deduced, by assigning ranking values to the different parameters governing the coastal processes. The principal limitation of this procedure is the individual discretion used in ranking. Moreover, physical parameters are generally considered, omitting socio-economic factors. The aim of the present study is to complement a geographical information system (GIS) with an analytical hierarchical process (AHP), thus allowing an objective prioritization of the key parameters. Furthermore, in the present case, socio-economic parameters have been added to physical ones. Employing them jointly, an integrated coastal vulnerability index (ICVI) has been estimated and its effectiveness has been investigated. To show how it works, the proposed method has been applied to a portion of the Adriatic coastline, along the Apulian region in southern Italy. It has permitted to identify and prioritize the most vulnerable areas, revealing its efficacy as a potential tool to support coastal planning and management.

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Section: Intensity Of Importancementioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

How to Define Priorities in Coastal Vulnerability Assessment

et al. 2018

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“…It has to be highlighted that the implementation of specific data analysis procedures to synthesize numerical results is required to compare environmental effects related to different dredging projects, and thus to support decision and risk assessment. The reader is referred to [27] that provided standard methods and statistical parameters to relate the severity of environmental effects with magnitude, duration and frequency of the exposure to high predicted SSC levels.…”

Section: Integrated Approachmentioning

confidence: 99%

“…Model results are expected to allow catching key features of dredging plumes arising from different mechanical and hydraulic dredging sources, as a function of stratified circulation patterns, as described in the following. Marine sediments have been highly polluted by heavy metals, especially in the southern area ( [27,62,63]). Past researches payed attention to the hydrodynamic characterization of the area (e.g.…”

Section: Augusta Harbour Case Study: Hydrodynamics and Ssc Dispersionmentioning

confidence: 99%

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Engineering Tools for the Estimation of Dredging-Induced Sediment Resuspension and Coastal Environmental Management

Lisi¹,

Risio²,

Girolamo³

et al. 2016

Applied Studies of Coastal and Marine Environments

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In recent years, increasing attention has been paid to environmental impacts that may result from resuspension, sedimentation and increase in concentration of chemicals during dredging activities. Dredging dislodges and resuspends bottom sediments that are not captured by dredge-head movements. Resuspended sediments are advected far from the dredging site as a dredging plume and the increase in the suspended solid concentration (SSC) can strongly differ, in time and space, depending on site and operational conditions. Well-established international guidelines often include numerical modelling applications to support environmental studies related to dredging activities. Despite the attention that has been focused on this issue, there is a lack of verified predictive techniques of plume dynamics at progressive distances from the different dredging sources, as a function of the employed dredging techniques and work programs, i.e., spatial and temporal variation of resuspension source. This chapter illustrates predictive techniques to estimate the SSC arising from dredges with different mechanisms of sediment release and to assess the spatial and temporal variability of the resulting plume in estuarine and coastal areas. Predictive tools are aimed to support technical choices during planning and operational phases and to better plan the location and frequency of environmental monitoring activities during dredging execution.

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