Spatial traffic noise pollution assessment – A case study

Abstract Noise pollution assessment was carried out in selected traffic junctions of Imphal city of Manipur, India. The noise pollution assessment was carried out using noise parameters and indices such as L10, L50, L90, Leq for selected traffic junctions during the different periods of the day, i.e., morning, noon, and evening hours. The study of equivalent noise level (Leq), noise parameters, and various noise indices have enabled the evaluation of the overall traffic noise environment of the city. The traffic noise indices such as traffic noise index (TNI), noise climate (NC), traffic noise pollution level (LNP), noise exposure index (NEI) along with day time (LD), night time (LN) average, and day-night (Ldn) noise levels were assessed for the selected traffic junctions. Moreover, spatial noise mapping was carried out using the geostatistical interpolation technique to evaluate the changes of traffic noise scenarios during the different time zones of the day. The Leq values in few traffic junctions exceeded the required noise standards. The study shows equivalent noise level ranging between 52.2–69.9 dB(A) during the morning (7–10 am), 52.4–69.3 dB(A) during noon (12 noon-2 pm), and 54.6–71.1 dB(A) during the evening (4–7 pm) hours, respectively.

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ECONOMIC ASPECTS OF THE CITY TRAFFIC NOISE: CASE STUDY // EKONOMSKI ASPEKTI BUKE OD GRADSKOG SAOBRAĆAJA: STUDIJA SLUČAJA

EMC Review - Časopis za ekonomiju - APEIRON ◽

10.7251/emc1801134b ◽

2018 ◽

Vol 15 (1) ◽

Author(s):

Jelena Božić ◽

Predrag Ilić ◽

Ljiljana Stojanović Bjelić

Keyword(s):

Noise Level ◽

Road Traffic ◽

Scientific Evidence ◽

Traffic Noise ◽

Noise Pollution ◽

Common Denominator ◽

Economic Implications ◽

The Impact ◽

The City

Noise pollution is one of the main environmental problems today.The main source of environmental noise is traffic noise, especially the noise of road vehicles. The continuing expansion of motorized transport in Europe and Republic of Srpska today, and especially the sharp increase in the use of private cars raises concerns about the health risks.The aim of the case study was to determine the noise level at the location „Borik“ in Banja Luka. The measured values indicate that the noise level in this street is alarming. This paper discusses health and well-being related impacts of traffic noise pollution as well as the economic and social benefits associated with its reduction. It summarizes the latest scientific evidence on the impact of road traffic-induced noise on physical and mental health as a reaction to the high level of traffic noise risks. According to the scientific evidence, road traffic is the main source of noise pollution in Europe that cause harmful health such as impaired communication and disturbed sleep, as well as adverse after effects such as fatigue and decreased performance, annoyance, hearing impairment, ischemic heart disease and hypertension. The effects of unhealthy noise level are reflected on living and working conditions, consequently affecting the economy.This paper highlights economic implications and health benefits linked to cross-functionalities in the process of noise reduction in urbanism, architecture and vehicle design and methods for its evaluation. Cost-benefit analysis would be a pivotal decision-making tool for the city road traffic and land-use decisions. Economic valuation is about identifying all preferences and translating them into a money measure, to create a common denominator for comparing the pros and cons. Any decision implicitly include a money value into health effects. A holistic approach is crucial, considering the various health and economic consequences together.

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Traffic Noise Pollution in a Historical City Center - Case Study Project within Environmental Engineering Field of Study

Balkan Region Conference on Engineering and Business Education ◽

10.1515/cplbu-2015-0033 ◽

2015 ◽

Vol 1 (1) ◽

pp. 289-296

Author(s):

Valentin Petrescu ◽

Rodica Ciudin ◽

Claudiu Isarie ◽

Lucian Ionel Cioca ◽

Victor Nederita

Keyword(s):

Environmental Protection Agency ◽

Urban Areas ◽

Traffic Noise ◽

Noise Pollution ◽

City Center ◽

Road Surfaces ◽

Asphalt Road ◽

Traffic Related Pollution ◽

Behavior Frequency

AbstractNoise reduction for urban areas, especially noise generated by traffic is one of the major problems in today’s European cities. This paper is focused on more aspects that are addressing to traffic noise, like pavement, driver’s behavior, frequency of stops, pick hours, traffic agglomerations, etc. Research leading to this paper was conducted within the project “Adaptation to the Climate Change” developed in partnership with Environmental protection Agency Sibiu, focusing for this case study on traffic related pollution in a historical city center of Sibiu. Were considered three types of pavements (cobblestones, streets covered with dense asphalt, and graded asphalt road surfaces), three types of vehicles (small passenger car, family car and SUV), and testing’s were done using 3M Quest SoundPro Sonometer. Higher noise levels were registered for cobblestone and dense asphalt surfaces. Acoustic measurements and maps emphasizing studied are presented, and the identified parameters considered to be related to the traffic noise are given.

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Anthropogenic Noise Mapping of a Periurban Natural Park on the Coastal Area in the SW of Spain: Case Study of Bird's Ecosystem Protection

Acta Acustica united with Acustica ◽

10.3813/aaa.919380 ◽

2019 ◽

Vol 105 (6) ◽

pp. 1015-1025

Author(s):

José Luis Cueto ◽

David Bienvenido-Huertas ◽

Francisco Fernández-Zacarías ◽

Ricardo Gey ◽

Ricardo Hernández-Molina

Keyword(s):

Ad Hoc ◽

Methodological Approach ◽

Traffic Noise ◽

Noise Pollution ◽

Small Population ◽

Noise Levels ◽

Noise Mapping ◽

Natural Park ◽

Methodological Guidelines

This article presents a methodological approach to try to respond to some of the protection and management needs against the noise of a peri-urban natural park. The methodology presented is based on the generation of "ad hoc" noise maps. To analyze its possibilities and the limits of use, a coastal park surrounded by a densely populated area in the southwest of Spain is used as a case study. In this study, birds in their diverse ecosystems are the main target noise receiver of the study. The source of noise pollution considered is the traffic noise of the highways and the urbanized areas surrounding the park. However, the methodology can be extrapolated to any source of noise and other protection figures. An adequate diagnosis of the environmental noise would help to overcome the supposed incompatibility between the preservation of nature and the tourist exploitation of natural spaces. With this in mind, it has also been proposed as target noise receivers, the ornithologists and visitors who wish to become bird-watchers and bird-listeners. To this end, it has been proposed to produce noise maps with certain methodological guidelines that fit on a case-by-case basis. Several heights are used in this paper, adapting the map to noise receivers. With the same purpose, noise level maps in octave bands were developed. The tonal frequencies of interest are those that the birds use in their songs (according to the species, normally between 2 and 8 kHz). The maps have been contrasted with noise measurements carried out throughout the park. The study shows that in the areas most exposed to the noise of the Rio San Pedro and the university campus, noise levels at 2 kHz can reach 74 dB during the peak traffic hours. In addition, a large percentage of the area of both areas is affected by noise levels that exceed 50 dB (100% and 44% respectively). We are also concerned that a small population of birds has been counted in these areas based on preliminary observations at peak traffic times. The results can help the decision-makers to evaluate how traffic noise invades different ecosystems and where it can mask the sound of birds.

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A Decentralized Semantic Reasoning Approach for the Detection and Representation of Continuous Spatial Dynamic Phenomena in Wireless Sensor Networks

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10030182 ◽

2021 ◽

Vol 10 (3) ◽

pp. 182

Author(s):

Roger Cesarié Ntankouo Njila ◽

Mir Abolfazl Mostafavi ◽

Jean Brodeur

Keyword(s):

Sensor Network ◽

Traffic Noise ◽

Noise Pollution ◽

Pollution Monitoring ◽

Sensor Data ◽

Second Step ◽

Semantic Reasoning ◽

Spatial Objects ◽

Dynamic Phenomena

In this paper, we propose a decentralized semantic reasoning approach for modeling vague spatial objects from sensor network data describing vague shape phenomena, such as forest fire, air pollution, traffic noise, etc. This is a challenging problem as it necessitates appropriate aggregation of sensor data and their update with respect to the evolution of the state of the phenomena to be represented. Sensor data are generally poorly provided in terms of semantic information. Hence, the proposed approach starts with building a knowledge base integrating sensor and domain ontologies and then uses fuzzy rules to extract three-valued spatial qualitative information expressing the relative position of each sensor with respect to the monitored phenomenon’s extent. The observed phenomena are modeled using a fuzzy-crisp type spatial object made of a kernel and a conjecture part, which is a more realistic spatial representation for such vague shape environmental phenomena. The second step of our approach uses decentralized computing techniques to infer boundary detection and vertices for the kernel and conjecture parts of spatial objects using fuzzy IF-THEN rules. Finally, we present a case study for urban noise pollution monitoring by a sensor network, which is implemented in Netlogo to illustrate the validity of the proposed approach.

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