Detection And Reduction of Noise Pollution in Buildings in Palayam

DOI : 10.17577/IJERTCONV10IS06002

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Detection And Reduction of Noise Pollution in Buildings in Palayam

Rani V

Associate Professor Department of civil engineering

Marian Engineering college Trivandrum, India

Gokul K R, Fasna R S, Ameya S, Ajo S S

Department of civil engineering Marian Engineering CollegeTrivandrum,

India

Abstract Noise pollution is an unwanted or harmful sounds in terms of health and quality of life, resulting from human activities. In recent years, excessive noise causes not only discomfort, but also observed that when people are exposed to sound waves at high intensities for long periods of time, they lose their health.

Method of reduction of noise pollution is done by designing insulation projects to increase the ability to absorb sound like wall insulation, floor and ceiling insulation, vegetation which can scatter the sound waves and absorb the noise levels, and by including noise barrier.

KeywordsNoise pollution

  1. INTRODUCTION

    Noise pollution is a problem increasingly acknowledged by authorities and governments around the globe. Noise in buildings are a common grievance among public. Excessive noise in public reduces the intelligibility of speech and impairs communication, causing annoyance, irritation, and fatigue and reducing the quality and safety of healthcare. Noise health effects are the physical and psychological health consequences of regular exposure to consistent elevated sound levels. Elevated workplace or environmental noise can cause hearing impairment, tinnitus, hypertension, ischemic heart disease, annoyance, and sleep disturbance. Changes in the immune system and birth defects have been also attributed to noise exposure.

    Although age-related health effects (presbycusis) occur naturally with age, in many countries the cumulative impact of noise is sufficient to impair the hearing of a large fraction of the population over the course of a lifetime. Noise exposure has been known to induce noise- induced hearing loss, tinnitus, hypertension, vasoconstriction and other cardiovascular adverse effects. Chronic noise exposure has been associated with sleep disturbances and increased Incidence of diabetes. Noise pollution on construction sites can potentially contribute to poor quality of life. The wider effects of construction site noise pollution include structural damage to buildings, decreased property value, loss of productivity and social impacts such as sickness.

  2. SCOPE OF STUDY

    Noise pollution and its effect on human health and his welfare is recently considered as an important and vital issue which encourages scientists and interested agencies all over the world, such as World Health Organization (WHO), to conduct more researches concerning assessmentof its levels and harmful effects

    These impacts may lead to more serious health problems, such as stroke and ischemic heart disease, that can result in a heart attack. Reducing the levels of noise can reduce these adverse health impacts. Reducing noise pollution and protecting quiet areas in cities also has an economic benefit..

  3. OBJECTIVE

    1. To evaluate the noise levels in buildings in Palayamcity, Trivandrum.

    1. To investigate the variation of the noise levels from the standards prescribed by Central Pollution Control Board (CPCB) .

    2. To determine the various mitigation measures to eliminate or reduce the noise

    excellent style manual for science writers is [7].

  4. MATERIALS AND METHODOLOGY

    The noise pollution datas for various buildings in Palayam city is determined using a device called sound level meter.

    1. Collection of noise pollution data

      The datas collected using sound level meter during morning and evening peak hours. The peak hour noise values during morning (8:30 10:30 am ) and evening (4:30

      6 : 30 pm ) in these areas are collected for 2 weeks

      A sound level meter will measure sound pressure level and sound meter application displays the noise volume in decibels (dB).

      TABLE I.

      Sl No

      Location

      Morning Peak hr (dB)

      Evening peak hr(dB)

      1

      SBI Nanthancode

      75.66

      80.5

      2

      Neethi Medical Store

      76.9

      80.42

      3

      Mascott Hotel

      70.1

      75.2

      4

      Bata

      78.6

      84.32

      5

      Saphalyam Complex

      73.2

      77.64

      6

      Canara Bank

      72.9

      76.45

      7

      West Side

      78.7

      84.1

      8

      Allen Solly

      73.9

      79.1

      9

      Premier Towers

      79.2

      82.6

      10

      Sri chithra Home

      72.3

      80.6

      11

      SAJ Luciya

      73.5

      76.4

      12

      Buhari Hotel

      80.2

      86.4

      13

      Unison Towers

      86.1

      89.3

      14

      MS Complex

      75.9

      84.7

      15

      AL Salam Plaza

      65.8

      78.1

      16

      Subhash Trade Links

      80.9

      87.2

      17

      Sweet Rani Bakers

      78.2

      89.5

      18

      Gem Pearl Arcade

      76.4

      90.2

      19

      Attukal Shopping Complex

      72.3

      86.5

      20

      ARS Towers Over Bridge

      78.3

      84.7

      Evening peak hour

    2. ANALYSIS AND COMPARISON WITH STANDARDS

      The permissible limit of noise levels in various types of buildings prescribed by central pollution control board is represented below.

      TABLE II.

      Areacode

      Category of area

      Limits in daytime (dB)

      Limits in nighttime (dB)

      A

      Industrial

      75

      70

      B

      Commercial

      65

      55

      C

      Residential

      55

      45

      D

      Silent zone

      50

      40

    3. COMPARISON

      The following table shows the comparison of obtained noise pollution data with CPCB standards.

      TABLE III.

      Sl No

      Location

      Category

      Morning Peak hr (dB)

      Evening peak hr(dB)

      CPCB

      Standard

      1

      SBI

      Nanthancode

      Commercial

      75.66

      80.5

      > 65 dB

      2

      Neethi Medical Store

      Commercial

      76.9

      80.42

      > 65 dB

      3

      Mascott Hotel

      Commercial

      70.1

      75.2

      > 65 dB

      4

      Bata

      Commercial

      78.6

      84.32

      > 65 dB

      5

      Saphalyam Complex

      Commercial

      73.2

      77.64

      > 65 dB

      6

      Canara Bank

      Commercial

      72.9

      76.45

      > 65 dB

      7

      West Side

      Commercial

      78.7

      84.1

      > 65 dB

      8

      Allen Solly

      Commercial

      73.9

      79.1

      > 65 dB

      9

      Premier Towers

      Commercial

      79.2

      82.6

      > 65 dB

      10

      Sri chithra Home

      Residential

      72.3

      80.6

      > 55 dB

      Morning Peak hour

      SlNo

      Location

      M

      Category

      orning eak hr(dB)

      vening peak hr(dB)

      CPCB

      Standard

      11

      SAJ Luciya

      Commercial

      73.5

      76.4

      > 65 dB

      12

      Buhari Hotel

      Commercial

      80.2

      86.4

      > 65 dB

      13

      UnisonTowers

      Commercial

      86.1

      89.3

      > 65 dB

      14

      MS Complex

      Commercial

      75.9

      84.7

      > 65 dB

      15

      L SalamPlaza

      Commercial

      65.8

      78.1

      > 65 dB

      16

      Subhash Trade Links

      Commercial

      80.9

      87.2

      > 65 dB

      17

      weet RaniBakers

      Commercial

      78.2

      89.5

      > 65 dB

      18

      em PearlArcade

      Commercial

      76.4

      90.2

      > 65 dB

      19

      Attukal Shopping Complex

      Commercial

      72.3

      86.5

      > 65 dB

      20

      ARS Towers Over Bridge

      Commercial

      78.3

      84.7

      > 65 dB

      The permissible limit of noise pollution in residential and commercial buildings are 45 55 db. There is visible variation in the obtained values when comparing with the CPCB standards. It shows that most of the buildings are subjected to noise pollution.

    4. REDUCTION MEASURES

      The various measures for the reduction of noise pollution inbuildings can be done by the following methods:

      • Upgradation of insulations of walls.

      • Acoustic wall panels

      • Installation of rugs and carpets

      • Fixing wall hangings

      • Sound absorption ceiling tiles

      • Window shutters

      • Sealing of cracks and edges.

      • Use of cavity partition.

      • Installation of high-quality storm windows

      • Add central conditioning

      • Add furniture to fil the floor space.

      • Limiting the speed and sound horns

    5. CONCLUSION

    This study has examined the distribution of noise at various buildings in Palayam in Trivandrum Corporation. In this study, it was found that the average sound levels measured at almost all the buildings were above the permissible limit as prescribed by CPCB which is primarily due to increasing transportation and marketing activities in the study area. It can be deducted that noise pollution either directly or indirectly affects in a simultaneous manner, the subjective perception of noise, emotion, physiology, and experience of noise inside and outside the buildings. Hence suitable remedial measures need to be adopted in every building accordingly to isolate the noise from reaching the public in the form of noise barriers.

  5. ACKNOWLEDGMENT

    We take this opportunity to express our sincere gratitude to all those who have been instrumental in the successful completion of this Project.

    Firstly, we thank Dr.David J, the Principal of the Marian Engineering College for the encouragement given to us to do this Project.

    We are thankful to the management of Marian Engineering College for providing all the facilities required for the Project.

    We are thankful to Dr.Narayanan S, the Head of the Department, Civil Engineering for all the help given to us for doing the Project.

    We are greatly obliged to Mr. Abhijith R P, Assistant Professor, civil engineering department, Project coordinator and other staff members of the department for the valuable guidance and suggestions. We express our sincere thanks to my beloved parents, and my friends who have helped us forthe completion of our project.

    Above all, we thank GOD almighty without whose blessings this effort would not have been reality

  6. REFERENCES

[1] Akintuyi A.O., Raji S.A., Adewuni D., Wunude

E.O (2015) GIS- based Assessment and Mapping of Noise Pollution in Bariga area of Lagos State Nigeria.,Sokoto Journal of the Social Sciences, Vol 4: No.1

[2] Ali A. Alesheikh., Nassiri P., Abbaspour M., Moattar F, Evaluation of Noise Pollution using GIS: Case Study 9th District of Tehran, Iran, No MA 07 PN 253.

[3] Ali AsgharAlesheikh and ManouchehrOmidvari (2010) Application of GIS in Urban Traffic Noise Pollution, International Journal of Occupational Hygiene, Vol.2, No.2 pp79-84.

[4] AnirbanKundu Chowdhury,AnupamDebSarkar and ShibnathChakrabarty (2012) Analysis of Day Time Traffic Noise Level: A Case Study of Kolkata, India, International Journal of Environmental Science and Research, Vol. 2, No.2, pp114-118.

[5] Golmohammadi, R., Abbaspour, M., Nassiri, P., and Mahjub, H. (2009) A Compact Model for Predicting Road Traffic Noise, Iran Journal of Environmental Health Science & Engineering, Vol.6, No.3, pp181-186.

[6] Karthik K, Pratheeban P, Prasad Raju. H, Anuradha Pb(2012) Development of Noise Prediction Models Using GIS for Chennai City, International Journal of Emerging Technology and Advanced Engineering, Vol. 5, Issue 10.

[7] Sampath. S., Das, Murali, S and Kumar, Sasi, (2004) Ambient Noise Levels in Major Cities in Kerala, Journal of Indian Geo Physics Union ,Vol. 8, No.4, pp293- 298.

[8] Silvia, R., Ricardo, H. and Luis, C. J., (2003) Evaluation and prediction of noise pollution levels in urban areas of Cdiz (Spain), Acoustical Society of America Journal, Vol.114, No.1, pp-2439- 2439.

[9] SukantaChakraborty., AmarendraJamatia., SumantaChakraborti.,(2014) Assessment of Noise Pollution and Mitigation Measures in Bodhjaungnagar Industrial Growth Centre., International Journal of Advanced Research (IJAR), 2014.

[10] WazirAlam, (2011) GIS based Assessment of Noise Pollution in Guwahati City of Assam, International Journal of Environmental Sciences , Vol. 2, No.2, pp 743-751.

[11] Yilmaz H. and Ozer S, (2005), Evaluation and analysis of environmental noise pollution in the city of Erzurum, Turkey, International Journal of Environmental Pollution, Vol. 23, No.4, pp 438-448.

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