Practical Use of Noise Mapping to Reduce Noise Exposure in the Construction Industry

2020 ◽  
pp. 209-216
Author(s):  
M. L. De la Hoz-Torres ◽  
Antonio J. Aguilar-Aguilera ◽  
M. D. Martínez-Aires ◽  
Diego P. Ruiz
Keyword(s):  
Construction Industry ◽  
Noise Exposure ◽  
Noise Mapping

Integrating environmental noise considerations into public policy: the case of Ireland

2021 ◽  
Vol 263 (3) ◽  
pp. 3218-3222
Author(s):  
Jon Paul Faulkner ◽  
Enda Murphy
Keyword(s):  
Noise Exposure ◽  
Environmental Noise ◽  
Management Policy ◽  
Policy And Practice ◽  
Noise Mapping ◽  
Current Application ◽  
Eu Member States ◽  
Mapping Process ◽  
Irish Case ◽  
Harmful Effects

European Commission Directive (EU) 2020/367 describes how harmful effects from environmental noise exposure are to be calculated for ischemic heart disease (IHD), high annoyance (HA), and high sleep disturbance (HSD) for road, rail, and aircraft noise under the Environmental Noise Directive's (END) strategic noise mapping process. It represents a major development in understanding the extent of exposure from transport-based environmental noise given it is a legal requirement for all EU member states from the 2022 reporting round. It also has the potential to accelerate the development of stronger noise-health policies across the EU. While this development is to be welcomed, there are a number of basic noise-health policy applications that first need to be implemented in the Irish case if the noise-health situation is be accurately assessed and if public health is to be adequately protected. In order to address this requirement the following paper presents concrete policy and practice recommendations as well as an evaluation of the current application of noise management policy in Ireland which is administered to protect the public from the harmful effects of environmental noise. This paper provides guidance on how noise-health considerations can be integrated into key relevant areas of Irish policy including healthcare, the environment, transportation, and planning.

Traffic Noise Pollution Assessment in Major RoadJunctions of Imphal City, Manipur (India)

2021 ◽  
Author(s):  
WAZIR ALAM ◽  
Ramtharmawi Nungate
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Traffic Noise ◽  
Pollution Assessment ◽  
Noise Pollution ◽  
Pollution Level ◽  
Night Time ◽  
Noise Mapping ◽  
Noise Parameters ◽  
Spatial Noise

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.

Road traffic noise disease burden estimates for a model study of varying urban morphology cases

2021 ◽  
Vol 263 (3) ◽  
pp. 3282-3293
Author(s):  
Jens Forssén ◽  
Andreas Gustafson ◽  
Meta Berghauser Pont ◽  
Marie Haeger-Eugensson ◽  
Christine Achberger ◽  
...  
Keyword(s):  
Disease Burden ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Urban Morphology ◽  
Urban Setting ◽  
Road Traffic Noise ◽  
Noise Mapping ◽  
Direct Exposure ◽  
Life Years

For a model set of 31 different building morphologies in an urban setting, road traffic noise exposure has been calculated and analysed. For five of the building morphologies also vegetation surfaces on facades and roofs were studied. Facade exposures were analysed for both smaller (single-sided) flats and larger (floor-through) flats, considering the direct exposure from the roads as well as the non-direct exposure at noise-shielded positions like inner yards, applying a noise mapping software in combination with a prediction model for the non-direct exposure. Using noise indicators Lden and Lnight, the disease burden, in terms of DALY (Disability-Adjusted Life Years) per person, was estimated and analysed, via predictions of annoyance and sleep disturbance. The resulting effects of varying the building morphology and adding vegetation are shown and discussed, including effects of a bonus model for flats having additional facade elements with lower noise exposure.

scholarly journals NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps

2019 ◽  
Author(s):  
Erwan Bocher ◽  
Gwenaël Guillaume ◽  
Judicaël Picaut ◽  
Gwendall Petit ◽  
Nicolas Fortin
Keyword(s):  
Open Source ◽  
Input Data ◽  
Noise Exposure ◽  
Road Traffic ◽  
Transportation Network ◽  
Environmental Noise ◽  
Noise Model ◽  
Population Exposure ◽  
Noise Mapping ◽  
The Impact

The urbanisation phenomenon and related cities expansion and transport networks entail preventing the increase of population exposed to environmental pollution. Regarding noise exposure, the Environmental Noise Directive demands on main metropolis to produce noise maps. While based on standard methods, these latter are usually generated by proprietary software and require numerous input data concerning, for example, the buildings, land use, transportation network and traffic. The present work describes an open source implementation of a noise mapping tool fully implemented in a Geographic Information System compliant with the Open Geospatial Consortium standards. This integration makes easier at once the formatting and harvesting of noise model input data, cartographic rendering and output data linkage with population data. An application is given for a French city, which consists in estimating the impact of road traffic-related scenarios in terms of population exposure to noise levels both in relation to a threshold value and level classes.

scholarly journals Development of Airport Noise Mapping using Matlab Software (Case Study: Adi Soemarmo Airport – Boyolali, Indonesia)

2018 ◽  
Vol 31 ◽  
pp. 12007
Author(s):  
Pertiwi Andarani ◽  
Haryono Setiyo Huboyo ◽  
Diny Setyanti ◽  
Wiwik Budiawan
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Model Simulation ◽  
Develop Model ◽  
Noise Power ◽  
Noise Levels ◽  
Noise Mapping ◽  
Matlab Software ◽  
International Airport

Noise is considered as one of the main environmental impact of Adi Soemarmo International Airport (ASIA), the second largest airport in Central Java Province, Indonesia. In order to manage the noise of airport, airport noise mapping is necessary. However, a model that requires simple input but still reliable was not available in ASIA. Therefore, the objective of this study are to develop model using Matlab software, to verify its reliability by measuring actual noise exposure, and to analyze the area of noise levels‥ The model was developed based on interpolation or extrapolation of identified Noise-Power-Distance (NPD) data. In accordance with Indonesian Government Ordinance No.40/2012, the noise metric used is WECPNL (Weighted Equivalent Continuous Perceived Noise Level). Based on this model simulation, there are residence area in the region of noise level II (1.912 km2) and III (1.16 km2) and 18 school buildings in the area of noise levels I, II, and III. These land-uses are actually prohibited unless noise insulation is equipped. The model using Matlab in the case of Adi Soemarmo International Airport is valid based on comparison of the field measurement (6 sampling points). However, it is important to validate the model again once the case study (the airport) is changed.

PREVENTING RISK OF NOISE EXPOSURE IN WORKING ENVIRONMENT USING NOISE MAPPING

2014 ◽  
Vol 13 (6) ◽  
pp. 1349-1354 ◽  
Author(s):  
Silviu Nicolae Platon ◽  
Corina Anda Hionis
Keyword(s):  
Noise Exposure ◽  
Working Environment ◽  
Noise Mapping

Compensation Process for Noise Induced Hearing Loss

2015 ◽  
Vol 74 (4) ◽  
Author(s):  
Ain Naadia Mazlan ◽  
Khairulzan Yahya
Keyword(s):  
Hearing Loss ◽  
Social Security ◽  
Construction Industry ◽  
Current Practice ◽  
Noise Exposure ◽  
Noise Induced Hearing Loss ◽  
Current Compensation ◽  
Current Process ◽  
Lasting Effect ◽  
Compensation Process

Noise exposure from worksite can cause a lasting effect of noise induced hearing loss (NIHL). The effect may vary according to industries with manufacturing and construction industries among heavily affected. However, the total number of compensation cases is still low compared to the affected population of construction industry workers. This might due to inefficient and slow compensation process. This paper aim to evaluate the current compensation process for NIHL, with in-depth discussion about the procedure adopted to find alternative ways to expedite and improve the compensation process involving noise induced hearing loss (NIHL) cases. Although the compensation methodologies is not relatively new, the current practice today still leaves  gaps in processing compensation cases efficiently and promptly. In this study, compensation process for NIHL cases were reviewed. Data were collected through articles, regulation and law acts. It was complemented with research visits to social security and insurance providers. The result demonstrates that while the current process adopted is workable, it still inefficient to cater the population of affected.

scholarly journals Detecting and Correlating Aircraft Noise Events below Ambient Noise Levels Using OpenSky Tracking Data

Proceedings ◽  
2020 ◽  
Vol 59 (1) ◽  
pp. 13
Author(s):  
Luc Dekoninck
Keyword(s):  
Spatial Data ◽  
Ambient Noise ◽  
Noise Exposure ◽  
Environmental Noise ◽  
Aircraft Noise ◽  
Data Series ◽  
Noise Levels ◽  
Noise Mapping ◽  
High Exposure ◽  
Ambient Exposure

Noise annoyance due to aircraft operations extends well beyond the 55 Lden noise contours as calculated according to the Environmental Noise Directive (END). Noise mapping beyond these contours will improve the understanding of the perception, annoyance and health impact of aircraft operations. OpenSky data can provide the spatial data to create an aircraft noise exposure map for lower exposure levels. This work presents the first step of region-wide noise exposure methodology based on open source data: detecting low LAmax aircraft events in ambient noise using spectral noise measurements and correlating the detected noise events to the matching flights retrieved from the OpenSky database. In ISO 20906:2009, the specifications of noise monitoring near airports is standardized, using LAeq,1sec values for event detection. This limits the detection potential due to masking by other noise sources in areas with low maximum levels of aircraft noise and in areas with medium maximum levels of high ambient exposure areas. The typical lower detection limit in airport-based monitoring systems ranges from 55 to 60 LAeq,max, depending on the ambient levels. Using a detection algorithm sensitive to third-octave band levels, aircrafts can be detected down to 40 LAmax in ambient noise levels of a similar magnitude. The measurement approach is opportunistic: aircraft events are detected in available environmental noise data series registered for other applications (e.g., road noise, industrial noise, etc.). Most of the measurement locations are not identified as high-exposure areas for aircraft noise. Detection settings can vary to match ambient noise levels to improve the correlation success.

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