scholarly journals 2D and 3D mapping of traffic induced noise near major roads passing through densely populated residential area of South Delhi, India

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248939
Author(s):  
Pervez Alam ◽  
Kafeel Ahmad ◽  
Afzal Husain Khan ◽  
Nadeem A. Khan ◽  
Mohammad Hadi Dehghani
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Standard Procedure ◽  
Sound Level ◽  
Exposure Level ◽  
Residential Areas ◽  
Noise Levels ◽  
Night Time ◽  
Noise Mapping ◽  
Regulatory Standards

Noise monitoring and mapping is the critical processes to ensure that the noise level does not reach the harmful levels and provides noise exposure level details. 2-D and 3-D noise mapping has been carried out at pre-selected critical locations of major roads passing through densely populated residential areas, namely, Mathura Road, Lodhi Road, Lala Lajpat Rai Road, and Ring road, along with significant intersections, viz. Moolchand, Ashram, Sabz Burj, and Lodhi road. The monitoring has been performed during the day and night’s peak traffic hours using Sound Level Meter (SLM) Larson & Davis 831as per standard procedure. Then after, 2-D and 3-D noise maps have been prepared, visualized, and analyzed by soundPLAN (acoustic) and MapInfo Pro (Desktop GIS). The maximum noise level is observed at Ashram Chowk [81.1 dB (A)] at 8 pm; however, the minimum noise level is found to be at Lala Lajpat Rai Road [76.4dB (A)] at 7 pm. Monitoring results of noise level show non-compliance of regulatory standards for day time and night time. 2-D noise maps revealed that the noise level is maximum at the centerline of the road and decreases either side with the distance, and remains above the permissible limits at all locations. However, the 3-D noise maps show horizontal as well as vertical noise levels at all locations. The 3-D noise maps also revealed a noise level of 70 dB (A) up to a height of 6.096m at the Ashram Chowk and Moolchand intersection. However, a noise level of 65 dB (A) has been observed at the height of 5.486m at Lala Lajpat Rai Marg and Sabz Burj. This study will explore noise levels in both horizontal and vertical directions near roads surrounded by high-rise buildings. It will help the decision-makers take remedial measures.

scholarly journals Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping

2017 ◽  
Vol 42 (3) ◽  
pp. 423-432 ◽  
Author(s):  
Satish K. Lokhande ◽  
Satyajeet A. Dhawale ◽  
Samir S. Pathak ◽  
Rakesh Gautam ◽  
Mohindra C. Jain ◽  
...  
Keyword(s):  
Noise Level ◽  
Sound Level ◽  
Noise Levels ◽  
Night Time ◽  
Noise Mapping ◽  
High Noise ◽  
Sensitive Areas ◽  
Sound Levels ◽  
Directorate General ◽  
Open Cast

Abstract Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (LAeq,T ) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads, and industrial and commercial zone. The LAeq,T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time LAeq, T level of both zones ranged between 43.2-62.2 dB(A) and 30.5-53.4 dB(A), respectively, whereas, the average Ldn values vary between 32.7 and 51.2 dB(A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R2 of 0.605 for Ld, 0.217 for Ln, and 0.524 for Ldn. Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0-5.3 dB(A).

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.

scholarly journals Assessment of traffic noise due to transverse rumble strips at residential areas

2018 ◽  
Vol 250 ◽  
pp. 02006
Author(s):  
Zaiton Haron ◽  
Darus Nadirah ◽  
Supandi Mohamad Afif ◽  
Yahya Khairulzan ◽  
Nordiana Mashros ◽  
...  
Keyword(s):  
Noise Level ◽  
Traffic Noise ◽  
Middle Layer ◽  
Sound Level ◽  
Skid Resistance ◽  
Residential Areas ◽  
Noise Levels ◽  
Traffic Characteristics ◽  
Level Meter ◽  
Road Characteristics

Transverse rumble strips (TRS) are commonly being installed to alert the drivers through sound and vibration effects. The sound produced affects the existing traffic noise level which caused noise annoyance to the nearby residents. This study aims to assess the traffic noise due to TRS at residential areas by determining the roadside noise levels, traffic and road characteristics and evaluating the relationship between these parameters. Middle overlapped (MO), middle layer overlapped (MLO) and raised rumbler (RR) TRS profiles with same thickness were selected. The measurements of roadside noise levels and skid resistance were conducted using sound level meter (SLM) and British pendulum tester (BPT) respectively. Traffic characteristics were evaluated using previous data measured using automatic traffic counter (ATC). In overall, MLO produced highest roadside noise levels with increase of 20.5dBA from baseline. Generally, the increase of roadside noise level due to TRS is strong with speed, weak to medium with skid resistance of TRS and no relationship with traffic volume. Based on three TRS profile types, MLO is not suitable to be installed on the roadways adjacent to the residential areas as the increase of roadside noise level is significant which is more than 5dBA compared to MO and RR.

scholarly journals Evaluation of Noise Level at the Position of Water Cutter Operator at Selected Enterprise

2019 ◽  
Vol 2 (2) ◽  
pp. 341-349
Author(s):  
Michał Pałęga ◽  
Marcin Kwapisz
Keyword(s):  
Work Environment ◽  
Noise Level ◽  
Noise Exposure ◽  
Sound Level ◽  
Exposure Level ◽  
Basic Information ◽  
Computer Service ◽  
Measurement Results ◽  
The Subject

Abstract The subject of this publication is to assess the exposure of the waterjet operator to the noise hazard. The publication presents basic information about noise in the work environment. Next, the procedure of noise measurement in the work environment was discussed and the results of tests carried out at the waterjet operator’s station for three basic activities were presented, ie: (1) plotter support, supervision of the cutting process, loading and receiving material, (2) auxiliary, transport and cleaning, (3) computer service, keeping documentation, hygienic and social break. The noise level test included the determination of: the maximum sound level A LA max, the peak sound level C LCpeak, the noise exposure level related to the 8-hour work day LEX,8h. Based on the obtained measurement results, it can be stated that the exposure to noise at the station of the waterjet operator is at an acceptable level.

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.

scholarly journals A Study of Some of the Indicators of Noise Pollution in Certain Residential Districts in Fallujah City

2021 ◽  
pp. 2571-2579
Author(s):  
Ahmed H. Ali ◽  
Mohammed M. Abed ◽  
Berivan H. Mahdi ◽  
Wassan D. Hussain ◽  
Aisar M. Mohaisen
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Heavy Traffic ◽  
Field Measurements ◽  
Noise Pollution ◽  
Sound Level ◽  
Noise Levels ◽  
Mean Values ◽  
Daily Average ◽  
Main Streets

     The aim of this study was to evaluate the effects of noise exposure in certain residential districts in Fallujah city. Twenty-nine stations were selected and divided into two groups; the first group was located 50 to 100 metres from the main streets (quiet areas), whilst the second was located directly on the main streets. Noise levels were measured at a rate of three readings per station for different time periods for approximately sixty days in the year 2020. Mean values were taken in both the morning and evening using a portable sound level meter (Auto range, RS-232). The highest noise level was measured at Alforkan station for the morning reading (83.8 dB) within the second group, while the lowest noise level was measured at Alshohada alawla district station for the morning reading (63.2 dB) within the first group. As for the results of the daily noise level in the evening, the highest daily average (79.4 dB) was measured at Jaish al Shabi street, while the lowest daily average (56.4 dB) was at Dor Alsekak district. The total average noise levels for the morning measurements for the first and second groups were 66.7 dB and 77.2 dB, respectively, whereas those for evening measurements were 65.3 dB and 71.7 dB, respectively. According to field measurements, the average values for the noise (traffic) for the first and second groups in the morning and afternoon exceeded 68 dB, which may cause people to feel very disturbed according to the WHO guidelines on exposure to external environmental noise. In general, all the results measured in this study are above the limits allowed both locally and internationally. This is due to certain erroneous practices in daily activities in addition to the irregular spread of electric generators and commercial activities as well as heavy traffic in the city.

scholarly journals Annoyance among Staff and Noise Level in a Tertiary Care Hospital in New Delhi, India: A Pilot Study

2021 ◽  
Vol 06 (03) ◽  
pp. 10-16
Author(s):  
Aritrik Das ◽  
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Tertiary Care ◽  
Extensive Study ◽  
Sound Level ◽  
Care Hospital ◽  
Noise Levels ◽  
National Guidelines ◽  
Hospital Noise ◽  
Workplace Noise

Introduction: In India, an area of not less than 100 metres around a hospital is considered a silence zone, with guidelines restricting noise levels at 50dBA during daytime and 40dBA during the night. Annoyance is a known effect of noise exposure. Objectives: To determine the feasibility of an extensive study on noise in the hospital, annoyance in staff due to hospital noise and its associated factors. Methods: Noise data was collected from 3 sites, using a Digital Integrating Sound Level Meter, LutronSL-4035SD(ISO-9001,CE,IEC1010) meeting IEC61672 standards. Stratified random sampling of staff was done on basis of noise exposure. A pre-designed, semi-structured questionnaire collected information on sociodemographic and work profile. Annoyance was measured using standardized general purpose noise reaction questionnaire (ISO-TS/ 15666). Data was analysed in SPSS. Result: Laeq ranged from 56dB in nephrology ward to 89.2dB at OPD atrium. Maximum noise level was 98.6dB in OPD atrium and 86.1dB in nephrology ward. Levels at night in ward were higher than during day time. 24 (53.3%) of the staff said their workplace is noisy, while 26(57.8%) were annoyed by workplace noise. Annoyance due to hospital noise was associated with age (p=0.003), duration of work in hospital per week (p=0.04), duration of work in current department (p=0.007), noise level (p=0.04) and workplace distance from arterial road (p=0.02). Conclusion: Hospital noise levels are higher than recommended levels for sensitive zones as per national guidelines and exceed levels inside wards as stipulated by WHO. More than half the study population were annoyed by workplace noise indicating need for interventions. A study throughout the hospital to study noise levels and annoyance among staff following similar methodology is feasible and necessary.

scholarly journals Traffic Intersections Noise Levels and Daily Noise Exposure in Chandrapur City, Central India

2019 ◽  
Vol 3 (3) ◽  
pp. 80-92
Author(s):  
Rahul K. Kamble
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Health And Safety ◽  
Central India ◽  
Sound Level ◽  
Control Measures ◽  
Noise Levels ◽  
Road Design ◽  
Traffic Intersections ◽  
Level Meter

Noise level monitoring was carried out at nine important traffic intersections of the Chandrapur city to ascertain noise levels and daily noise exposure. A pre-calibrated mini sound level meter was used for noise measurement. Observations were recorded for 24 hours and noise level during the day, night and for 24-hours was computed. Maximum noise level during daytime was 84.27 dB(A) at Bangali camp square; whereas, minimum 79.23 dB(A) at Priyadarshani square. In case of nighttime maximum 85.90 dB(A) was at Warora naka square and minimum 70.06 dB(A) at the Jatpura gate. Minimum noise level during 24-hours was at Bagla square 84.34 dB(A) and maximum 91.14 dB(A) at Warora naka square. Noise level during day and night were above the Indian noise standard for the commercial area. The Bangali camp square was identified as the most ear-splitting square during daytime and Warora naka square at nighttime and for 24-hours also. Peak noise was recorded from 10.00 am to 11.00 am and 3.00 pm to 7.00 pm. Vehicular noise, horns, and improper road design contributed significantly to noise levels at traffic intersections. Daily noise exposure analysis by Health and Safety Executive, UK software revealed Bangali camp square and Ramnagar police station square’s daily noise exposure for 0.25 hour was maximum 70 LEP,d and minimum at Gandhi square and Bagla square 65 LEP,d. Noise levels indicated no immediate effect for hearing loss. Control measures for reduction of noise levels at traffic intersections have also been proposed.

scholarly journals Spatio-Temporal Analysis of Environmental Noise in Institutional Area

2019 ◽  
Vol 8 (2) ◽  
pp. 4037-4042
Keyword(s):  
Correlation Coefficient ◽  
Strong Correlation ◽  
Noise Level ◽  
Noise Exposure ◽  
Temporal Analysis ◽  
Environmental Noise ◽  
Sound Level ◽  
Motor Vehicles ◽  
Noise Mapping ◽  
Spearman’S Correlation

Environmental noise is identified as unwanted sound arises mainly from motor vehicles. The increasing number of motor vehicles in institutional area would negatively affect the environment and students learning process. This study assesses the variability of environmental noise in institutional area in terms of temporal and spatial analysis. Noise level was taken in Universiti Malaysia Terengganu (UMT) campus by using sound level meter at varying time intervals of 0700hrs - 1000hrs (morning), 1100hrs – 1400hrs (afternoon) and 1500hrs – 1800hrs (evening) and noise mapping was constructed by using Surfer14® and SketchUp® software. Lmax (78.8 dBA, weekday (WD) and 84.4 dBA, weekend (WK)), LAeq (75.0 dBA, WD and 75.5 dBA, WK), Lmin (43.9 dBA, WD and 41.3 dBA, WK), L10 (66.8 dBA, WD and 58.5 dBA, WK) and L90 (47.5 dBA, WD and 44.4 dBA, WK) were evaluated. Motor vehicles from Class M (cars and buses) shows strong correlation with noise level (Spearman’s correlation coefficient, r=0.74, p<0.01, WD) while Class L (motorcycle) shows strong correlation (Spearman’s correlation coefficient r=0.59, p<0.01, WK). The finding from this study is important for UMT management team to control noise pollution in campus in line to reduce noise exposure towards university students and staff

scholarly journals Spatial Mapping of Traffic Noise Levels in Urban Areas

2011 ◽  
Vol 47 (2) ◽  
Author(s):  
Mohammed Taleb Obaidat
Keyword(s):  
Noise Level ◽  
Urban Areas ◽  
City Planning ◽  
Traffic Noise ◽  
Sound Level ◽  
Signalized Intersections ◽  
Mapping Technique ◽  
Residential Areas ◽  
Noise Levels ◽  
High Traffic Volume

This paper combines field data with an analytical approach to spatially map noise levels due to traffic movements at relatively high traffic volume signalized intersections utilizing the potential of Geographic Information Systems (GIS). Noise data were collected using a discrete mapping technique at 29 signalized intersections, as well as between intersections, and at their respective neighborhood areas in Amman, capital of Jordan. Data were collected in three different highly congested traffic peak periods: 7:30 a.m.-9:00 a.m., 1:30 p.m.-3:00 p.m., and 9:00 p.m.-11:00 p.m. A portable precision sound level meter capable of measuring noise levels from 34 to 134 decibels (dB) was used during the data collection process. The highest recorded noise level at some signals was 80 dB, while the lowest was 34 dB. In fact, some signalized intersections showed higher noise levels than the acceptable or the standard ones, i.e., 65 dB for daytime and 55 dB for nighttime in residential areas at city center. Two-dimensional (2D) vector and raster maps of noise levels, at different time periods for signals' areas and neighborhoods, were spatially displayed. Results showed that the developed GIS maps could be useful for city planning and other environmental management applications for the purpose of: 1) temporal monitoring and queries of noise level changes as a function of time, 2) spatial queries to find the highest noise disturbance location and its time of the day, 3) development of an online noise information system, 4) using noise level based spatial maps as indicators of variation in land prices, and 5) forecasting and current assessment of the acoustic climate of urban areas.

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