IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

GIS Approach for Collaborative Monitoring and Prediction of Environmental Noise in Urban Areas

GIS Approach for Collaborative Monitoring and Prediction of Environmental Noise in Urban Areas
View Sample PDF
Author(s): Juan H. Juarez (Centro de Investigación en Computación, Instituto Politécnico Nacional (IPN), Mexico City, Mexico), Marco A. Moreno (Centro de Investigación en Computación, Instituto Politécnico Nacional (IPN), Mexico City, Mexico) and Miguel J. Torres-Ruiz (Centro de Investigación en Computación, Instituto Politécnico Nacional (IPN), Mexico City, Mexico)
Copyright: 2019
Pages: 27
Source title: Environmental Information Systems: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7033-2.ch069

Purchase

View GIS Approach for Collaborative Monitoring and Prediction of Environmental Noise in Urban Areas on the publisher's website for pricing and purchasing information.

Abstract

Environmental noise, as well as being a form of environmental pollution that affects mainly urban areas, it is a problem that involves people's quality of life. This paper presents a methodology that takes advantage of the Volunteered Geographic Information (VGI) in obtaining georeferenced environmental noise maps and the corresponding statistics for a particular area of interest. The methodology herein presented considers the phases of Data acquisition, Analysis and data processing, and Visualization of the information. The design and development of a Geographic Information System is presented, which consists of a web mapping application, an application for mobile devices, called NoiseMonitor, Geospatial Analysis and Machine Learning methods (Support Vector Machines and Artificial Neural Networks) for acoustic noise prediction using contextual information, that is, some factors around the measurements. A study case is based on Mexico City.

Related Content

Delphine Defossez. © 2022. 24 pages.
Pendo Shukrani Kasoga, Amani Gration Tegambwage. © 2022. 25 pages.
S. Jithender Kumar Naik, Malek Hassanpour. © 2022. 52 pages.
Ayele Ulfata Gelan, Ahmad Shareef AlAwadhi. © 2022. 42 pages.
Xin Sheng, Rangan Gupta. © 2022. 15 pages.
Joseph Dery Nyeadi, Kannyiri Thadious Banyen, Simon Akumbo Eugene Mbilla. © 2022. 30 pages.
Valentina Vinsalek Stipic. © 2022. 25 pages.
Body Bottom