The Conceptual Design of Dynamic Acoustic Maps to Assess Noise Exposure

Borkowski, B.; Czajka, Ireneusz; Pluta, Marek; Suder-Dębska, Katarzyna

doi:10.15244/pjoes/62097

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…PostgreSQL is an object-relational database management system (Borkowski et al, 2016). PostGIS allows the use of geographic details in the PostgreSQL object-relational database.…”

Section: Fig 1 Publication Of Geographic Datamentioning

confidence: 99%

Design and use of crowdsourcing geographic data collection system during the monitoring phase of Environmental Impact Assessment reports

2021

Global NEST: The International Journal

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When the whole earth is considered as a geographic place, it is clearly seen that the physical and social processes in the Earth’s crust have a direct or indirect connection with geography. In this century named information era, it is vital to find new solutions to people’s problems by getting different results from gathering, providing, and querying information. Geographic information systems are frequently used in the preparation and implementation stages of environmental impact assessment (EIA) projects. However, the failure to use spatial data effectively during the monitoring phase, which is the final step of the assessment process, causes the inability to determine whether the activities undertaken in the report are implemented. This situation causes EIA reports and activities to be questioned or even not accepted by the public. By inter-organizational data sharing, geographical data needs can be met and duplicate data productions can be avoided.  However, the problem of updating the geographical data provided always comes out as the real problem.  At this point, there are approaches that are defined as Crowdsourcing which refers the way of solving the problems of the institutions by utilizing the knowledge and experience outsourced. The most important institutional concern regarding crowdsourcing and geographical data extraction reveals itself as data consistency and accuracy. With the system developed within the scope of this study, the status of EIA projects in implementation with the development of the project will be effectively controlled with the participation of the administration and the public. A crowdsourcing-based system has been prepared and introduced to ensure the participation of the public. With this study, the development of the project and the problems experienced during the monitoring phase can be controlled. Thus, it will be ensured that any negative situation that could be experienced will be prevented or minimized in a way that will not harm the environment.

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“…PostgreSQL is an object-relational database management system (Borkowski et al, 2016). PostGIS allows the use of geographic details in the PostgreSQL object-relational database.…”

Section: Fig 1 Publication Of Geographic Datamentioning

confidence: 99%

Design and use of crowdsourcing geographic data collection system during the monitoring phase of Environmental Impact Assessment reports

2021

Global NEST: The International Journal

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“…Geographic information system (GIS) has gained significant popularity and emerged as a pivotal evaluation tool in the field of ecological environment evaluation [10]. Because of that GIS was used during the research for generating noise maps [11] and graphical interpretation of the most polluted areas, based on measured noise levels (L den ) before and after the introduction of corrective measures and the creation of distribution maps. Graphical representation of these results in GIS is enabled by applying the Inverse Distance Weighting (IDW) interpolation technique.…”

Section: Introductionmentioning

confidence: 99%

Assessment and Predictions of Air Traffic Noise at Mitiga International Airport in Tripoli, Libya

Nasr,

Puharić,

Ilić

et al. 2023

Pol. J. Environ. Stud.

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Noise generated by air traffic is one of the leading problems in urban areas in the world. That is why the measures for reducing the noise generated by air traffic are today the subject of constant improvement, extensive research, and standardization. Monitoring and predicting air traffic noise levels represent an important factor in quality control and noise management. In order to reduce the noise level in the vicinity of Mitiga International Airport (Tripoli) in Libya, the aim of this paper is to assess the noise emission levels before and after the introduction of certain measures to reduce airborne noise, as well as to predict the noise level at the analyzed area. The method of interpolation in the Geographic Information System (GIS) was used to graphically represent the spatial distribution of noise emissions in the study area, and by applying zonal statistics deviations from the allowable values for each control grid were calculated. The obtained results showed that the application of certain measures has a great impact on reducing noise levels on controlled grids. Finally, the reliability of noise level prediction was successfully assessed using the artificial neural network (ANN) method.

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The Conceptual Design of Dynamic Acoustic Maps to Assess Noise Exposure

Cited by 2 publications

References 1 publication

Design and use of crowdsourcing geographic data collection system during the monitoring phase of Environmental Impact Assessment reports

Design and use of crowdsourcing geographic data collection system during the monitoring phase of Environmental Impact Assessment reports

Assessment and Predictions of Air Traffic Noise at Mitiga International Airport in Tripoli, Libya

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