Indian Journal of Pure and Applied Physics

Open Access Open Access  Restricted Access Subscription Access

Noise Mapping and Variance of Road Traffic Noise: Identification of Most Noise Impacting Vehicular Type in an Urban Region


Affiliations
1 NEERI-Hyderabad Zonal Centre, CSIR-National Environmental Engineering Research Institute, IICT Campus, Tarnaka, Hyderabad-500 007, Telangana State, India
 

Urban road traffic noise is a major concern in developing as well as developed countries. Often it is difficult to identify the most noise impacting vehicular type especially in urban region with mixed vehicular flow. Herein, we analysed in a systematic way to identify the most noise impacting vehicular type at Hyderabad city of India. The road traffic noise across the corridor-3 metro line known as the blue line metro was chosen in the present study because, it stretches from north to south connecting 23 stations comprising major residential and commercial locations of the city. The noise levels were analysed as per CPCB guidelines. The noise pollution quantifyingparameters such as Noise Climate (NC), Noise Pollution Level (LNP), and Traffic Noise Index (TNI) were analysed across the lane. A systematic analysis revealed that, the two-wheelers are the most noise impacting vehicles in the daytime whereas four-wheelers in the nighttime. Noise map generated using the IDW spatial interpolation method shows the noise impacted regions across the metro lane stretching ~27 km of the city. The methodological pattern in the present investigation can be useful tool in identifying the most noise impacting vehicular type in any region with a mixed vehicular flow.

Keywords

Noise map; Honking; IDW; Hyderabad, India.
User
Notifications
Font Size

  • Raja R V, Rajasekaran V & Sriraman G, Indian J Otolaryngol Head Neck Surg, (2019) 71.

  • Walker E D, Brammer A, Cherniack M G, Laden F & Cavallari J M, Environ Res, (2016) 150.

  • Sygna K, Aasvang G M, Aamodt G, Oftedal B & Krog N H, Environ Res, (2014) 131.

  • Bluhm G, Nordling E & Berglind N, Noise Health, 6 (2004).

  • Ziaran S, Noise Health, 15 (2013).

  • Magiera A & Solecka J, Roczniki Panstwowego Zakladu Higieny, 72 (2021).

  • Lim J, Kweon K, Kim H W, Cho S W, Park J & Sim C S, Noise Health, 96 (2018).

  • Ising H & Kruppa B, Noise Health, 6 (2004).

  • Pretzsch A, Seidler A & Hegewald J, Curr Pollut Rep, 7 (2021) 344.

  • Clark C & Paunovic K, Int J Environ Res Public Health, 15 (2018).

  • Clark C & Paunovic K, Int J Environ Res Public Health, 15 (2018).

  • van Kempen E, Casas M, Pershagen G & Foraster M, Int J Environ Res Public Health, 15 (2018).

  • Śliwińska-Kowalska M & Zaborowski K, Int J Environ Res Public Health,

  • (2017). 14 Basner M & McGuire S. Int J Environ Res Public Health, 15 (2018).

  • Brown A L & van Kamp I, Int J Environ Res Public Health, 14 (2017)

  • Goswami S & Swain B K, Curr Pollut Rep, 3 (2017) 220.

  • Rani B & David S, Int J Innovat Eng Technol, 7 (2016) 367.

  • Indian Standards. IS 10399 (1998): Automotive Vehicles - Noise Emitted by Stationary Vehicles - Method of Measurement.

  • Indian Standards. IS 3028 (1998): Automotive Vehicles - Noise Emitted by Moving Vehicles - Method of Measurement.

  • Pathak V, Tripathi B D & Mishra V K, Environ Monitor Assess, 146 (2008) 67.

  • Harman B I, Koseoglu H & Yigit C O, Appl Acoust, 112 (2016) 147.

  • Alam P, Ahmad K, Afsar S S & Akhtar N, J Ecol Eng, 21 (2020).

  • Bostanci B, Arab J Geosci, 11 (2018).

  • Ahmed A A & Pradhan B, Environ Monitor Assess, 191 (2019).

  • Vijay R, Sharma A, Chakrabarti T & Gupta R, J Environ Health Sci Eng,13 (2015).

  • Thakre C, Laxmi V, Vijay R, Killedar D J & Kumar R, Environ Sci Pollut Res, 27 (2020) 38311.

  • Aditya K & Chowdary V, Environ Climate Technol, 24 (2020) 23.

  • Thakre C, Laxmi V, Vijay R, Killedar D J & Kumar R, Environ Sci Pollut Res, 27 (2020) 38311.

  • Kalaiselvi R & Ramachandraiah A, Appl Acoust, 111 (2016) 25.

  • Kalaiselvi R & Ramachandraiah A, In Proc 20th Int Congress Acoust (ICA), (2010) 23.

  • Harman B I, Koseoglu H & Yigit C O, Appl Acoust, 112 (2016) 147.

  • Yilmaz G & Hocanli Y, Environ Monitor Assess, 121 (2006) 103.

  • Mishra R K, Nair K, Kumar K & Shukla A, Arab J Geosci, 14 (2021) 122.

  • Chiru A, Covaciu D, Florea D, Timar J & Vlase S, In The 3rd Int Conf Computat Mech Virtual Eng (COMEC), 2009.


Abstract Views: 114

PDF Views: 85




  • Noise Mapping and Variance of Road Traffic Noise: Identification of Most Noise Impacting Vehicular Type in an Urban Region

Abstract Views: 114  |  PDF Views: 85

Authors

Sathravada Balaji
NEERI-Hyderabad Zonal Centre, CSIR-National Environmental Engineering Research Institute, IICT Campus, Tarnaka, Hyderabad-500 007, Telangana State, India
Pragati Tiwari
NEERI-Hyderabad Zonal Centre, CSIR-National Environmental Engineering Research Institute, IICT Campus, Tarnaka, Hyderabad-500 007, Telangana State, India
Ampolu Suresh
NEERI-Hyderabad Zonal Centre, CSIR-National Environmental Engineering Research Institute, IICT Campus, Tarnaka, Hyderabad-500 007, Telangana State, India
Dimple Sharma
NEERI-Hyderabad Zonal Centre, CSIR-National Environmental Engineering Research Institute, IICT Campus, Tarnaka, Hyderabad-500 007, Telangana State, India
G V Santosh Kumar
NEERI-Hyderabad Zonal Centre, CSIR-National Environmental Engineering Research Institute, IICT Campus, Tarnaka, Hyderabad-500 007, Telangana State, India
Hemadri V J
NEERI-Hyderabad Zonal Centre, CSIR-National Environmental Engineering Research Institute, IICT Campus, Tarnaka, Hyderabad-500 007, Telangana State, India
Abhijeet Mondal
NEERI-Hyderabad Zonal Centre, CSIR-National Environmental Engineering Research Institute, IICT Campus, Tarnaka, Hyderabad-500 007, Telangana State, India

Abstract


Urban road traffic noise is a major concern in developing as well as developed countries. Often it is difficult to identify the most noise impacting vehicular type especially in urban region with mixed vehicular flow. Herein, we analysed in a systematic way to identify the most noise impacting vehicular type at Hyderabad city of India. The road traffic noise across the corridor-3 metro line known as the blue line metro was chosen in the present study because, it stretches from north to south connecting 23 stations comprising major residential and commercial locations of the city. The noise levels were analysed as per CPCB guidelines. The noise pollution quantifyingparameters such as Noise Climate (NC), Noise Pollution Level (LNP), and Traffic Noise Index (TNI) were analysed across the lane. A systematic analysis revealed that, the two-wheelers are the most noise impacting vehicles in the daytime whereas four-wheelers in the nighttime. Noise map generated using the IDW spatial interpolation method shows the noise impacted regions across the metro lane stretching ~27 km of the city. The methodological pattern in the present investigation can be useful tool in identifying the most noise impacting vehicular type in any region with a mixed vehicular flow.

Keywords


Noise map; Honking; IDW; Hyderabad, India.

References