Modeling and Mitigation of Noise on the A23 Motorway Using GIS

Carvalho, Antonio P. O.; Cavaleiro, Victor; Albuquerque, António; Ribeiro, José Carlos Rabelo

doi:10.3390/proceedings2201306

Cited by 2 publications

(4 citation statements)

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“…Hence, most of the data used to the classification of this WB is compared against good status thresholds with lower concentration values (20-30 of salinity), easily returning lower classifications results, compared to downstream water bodies. Thus, the lower classifications of this water body must be analyzed carefully and considering that no effect over the phytoplankton indicator has been observed in both the present and previous pieces of work [12]. Such dissociation between nutrients and ecological classifications may be the result of the intense light limitation felt in this region of the estuary [24].…”

Section: Implications Of Spatial Variability In the Wfd Classificationmentioning

confidence: 82%

“…The source of these nutrients could be both runoff from the margins and groundwater [64] and the influence of WWTP outfalls [13,19,21]. There is not much information about the groundwater contribution to the Tagus estuary; however, it is known that aquifers in the south margin are susceptible to nitrogen contamination from agriculture fertilizers and saline water intrusion due to excess of water consumption from the aquifer [12]. In relation to the WWTP, the positive relationship between nutrients and anthropogenic sources has already been reported for the Tagus estuary.…”

Section: Spatial Variations Of the Physicochemical And Biological Var...mentioning

confidence: 99%

“…Changes in the groundwater with the estuarine water may be an important source of freshwater and anthropogenic nutrients in some estuaries [9], affecting estuarine communities [10,11], but no information relative to groundwater effects over the Tagus estuary is available in the literature. However, it is known that some aquifers in the south margin of the Tagus estuary have high NO 2 concentrations due to infiltration of agriculture fertilizers [12] In relation to the wastewater outfalls, in the early 2000s, Gameiro et al [13] reported an association between ammonium and the location of the outfall. More recently, it was considered that an anthropogenic increase in nutrient concentrations is not considered worrying for the water quality of the Tagus estuary, given that the four water bodies, defined for the water framework directive, were considered at "good" to "high" quality status for nutrients and chlorophylla indicators [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Spatial Variability of Physicochemical Parameters and Phytoplankton at the Tagus Estuary (Portugal)

et al. 2022

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The estuarine phytoplankton communities are known to respond rapidly to environmental changes, being considered an important water quality indicator; thus, it is crucial to fully understand its natural variability. The objective of the present study was to assess the spatial variability of both physicochemical variables and the phytoplankton community, to understand how such variability is influenced by seasonality and to evaluate how the anthropogenic sources affect such patterns. The Tagus estuary was used as a case study, since it is one of Europe’s largest estuaries, with high spatial and seasonal variations and a high level of human pressure associated with large urban and industrial areas. To achieve this goal, environmental parameters, nutrients concentration, bivalve biomass (filter feeders) and phytoplankton pigments were quantified in a single summer sampling campaign with high spatial resolution and in monthly campaigns in eight sampling stations through the Tagus estuary, in one year. In general, suspended particulate matter and nutrients decreased from the upper part of the estuary to the estuary mouth; however, relevant local inputs were also observed in more downstream locations, near outfalls of wastewater treatment plants (WWTP). The chlorophyll-a concentrations were higher over the southern intertidal mudflats, probably due to resuspension of microphytobenthos, associated with higher nutrient concentrations. Through a grazing indicator, it was observed that grazers are important drivers of variability of the phytoplankton community composition. All water bodies achieved “good” and “high” water quality classifications for both physicochemical and biological indicators, with the worst results reported for the water bodies located at the upper estuary. Therefore, this estuary presents a decreasing trend of nutrients and chlorophyll-a in the upstream–downstream direction, except for the estuary channels and the outfall in the northern margin, which lead to an increase in nutrient concentrations. However, these increases did not affect the water quality of the three analyzed water bodies, presenting at least good ecological status, considering the nutrient and chlorophyll-a indicators.

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Section: Implications Of Spatial Variability In the Wfd Classificationmentioning

confidence: 82%

Section: Spatial Variations Of the Physicochemical And Biological Var...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial Variability of Physicochemical Parameters and Phytoplankton at the Tagus Estuary (Portugal)

et al. 2022

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“…Carvalho et al [ 39 ] developed a noise model to study the impacts of the environmental noise on motorway A23 in the stretch between Castelo Branco–Alcains (Portugal) and modelled the noise variation for establishing mitigation measures. For measuring the road traffic noise, the authors used French calculation method NMPB-Routes-96 (French standard XPS 31-133) by using several indicators.…”

Section: Literature On Drone Noise Managementmentioning

confidence: 99%

A Conceptual Framework Proposal for a Noise Modelling Service for Drones in U-Space Architecture

Langen

Dahle

2021

IJERPH

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In recent years, there has been a rapid growth in the development and usage of flying drones due to their diverse capabilities worldwide. Public and private sectors will actively use drone technology in the logistics of goods and transporting passengers in the future. There are concerns regarding privacy and noise exposure in and around the rural and urban environment with the rapid expansion. Further, drone noise could affect human health. European Union has defined a service-orientated architecture to provide air traffic management for drones, called U-space. However, it lacks a noise modelling service (NMS). This paper proposes a conceptual framework for such a noise modelling service for drones with a use case scenario and verification method. The framework is conceptualized based on noise modelling from the aviation sector. The NMS can be used to model the noise to understand the accepted drone noise levels in different scenarios and take measures needed to reduce the noise impact on the community.

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Modeling and Mitigation of Noise on the A23 Motorway Using GIS

Cited by 2 publications

References 1 publication

Spatial Variability of Physicochemical Parameters and Phytoplankton at the Tagus Estuary (Portugal)

Spatial Variability of Physicochemical Parameters and Phytoplankton at the Tagus Estuary (Portugal)

A Conceptual Framework Proposal for a Noise Modelling Service for Drones in U-Space Architecture

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