Home Email this page Print this page Bookmark this page Decrease font size Default font size Increase font size
Noise & Health  
 CURRENT ISSUE    PAST ISSUES    AHEAD OF PRINT    SEARCH   GET E-ALERTS    
 
 Next article
 Previous article
Table of Contents

Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Citation Manager
Access Statistics
Reader Comments
Email Alert *
Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed138    
    Printed3    
    Emailed0    
    PDF Downloaded0    
    Comments [Add]    

Recommend this journal

 

 ORIGINAL ARTICLE
Year : 2019  |  Volume : 21  |  Issue : 102  |  Page : 194--199

Evaluation of practical framework for industrial noise mapping: A case study


Analytical Instruments Division, CSIR – National Environmental Engineering Research Institute, Nagpur, Maharashtra, India

Correspondence Address:
Satish K Lokhande
Analytical Instruments Division, CSIR – National Environmental Engineering Research Institute, W.H. C. Road, Nehru Marg, Nagpur 440020, Maharashtra
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/nah.NAH_7_17

Rights and Permissions

Strategic noise maps are typically prepared for large-scale areas, towns and cities. However, some comparatively smaller industries are given less importance during preparation of noise maps. Very few studies have been reported worldwide providing insight on industrial noise mapping, and similar reports from India are negligible. This study provides a noise map of a forging plant and also investigates noise distribution pattern within 2 km of surrounding area. The complete study is evaluated in two types of scenario; in the first scenario all individual noise sources of the plant were considered as point sources whereas in the second scenario complete plant was treated as an area source. Furthermore, a regression graph is generated between the predicted and measured values for both scenarios individually which gives coefficients of determination of 0.4689 and 0.6382. This study reveals that the second scenario provides more precise noise prediction map than the first scenario.






[FULL TEXT] [PDF]*


        
Print this article     Email this article