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Simulation-Based Optimisation for Urban Environmental Noise Coupled with Auditory and Visual Subjective Evaluation
- Source :
- Complexity, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Hindawi-Wiley, 2020.
-
Abstract
- Environmental noise has a major negative impact, causing interference for people to communicate, rest, sleep, and general annoyance. In order to control urban environmental noise, simulation-based optimisation for urban environmental noise is conducted. On the basis of the current acoustic environment of Zhaohui Campus of Zhejiang University of Technology, three optimisation plans that include noise barrier optimisation, greenbelt optimisation, and a combination optimisation of noise barrier and greenbelt are proposed. These scenarios are simulated using NoiseSystem software to obtain their ability to reduce noise and determine auditory perception by using different control measures. To determine the visual perception of the optimisation plan, 100 people of different age groups were randomly selected, and each person scored the noise barrier and the greenbelt in the simulated scenarios. Results of the comprehensive evaluation of auditory and visual perception show that noise barriers can provide better auditory feelings, but greenbelts can provide a better auditory and visual subjective experience. Therefore, in addition to the application of noise control measures, their visual design must be fully considered. Moreover, the visual perception of plants is stronger than that of others.
- Subjects :
- Auditory perception
Multidisciplinary
Visual perception
010504 meteorology & atmospheric sciences
General Computer Science
Article Subject
Computer science
Speech recognition
Annoyance
QA75.5-76.95
010501 environmental sciences
01 natural sciences
Noise
Electronic computers. Computer science
Noise control
Environmental noise
Noise barrier
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 10990526 and 10762787
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- Complexity
- Accession number :
- edsair.doi.dedup.....559ad3ce0296b91b30587947ef223022