DSpace
 

DSpace at IIT Bombay >
IITB Publications >
Article >

Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/10505

Title: An empirical model to predict indoor NO(2) concentrations
Authors: KULKARNI, MM
PATIL, RS
Keywords: exposure
Issue Date: 2002
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: ATMOSPHERIC ENVIRONMENT, 36(30), 4777-4785
Abstract: This paper discusses the development of an empirical model to predict indoor NO(2) concentration (C(in)) from outdoor NO(2) concentration (C(out)) measured just outside the homes. Concentrations were 48-h time integrated averages. Data from a study carried out on measurement of indoor, outdoor and personal exposure to nitrogen dioxide (NO(2)) in Mumbai were used in the development of the model. Concentrations were measured over 2-day periods both in winter (February 1996) and summer (April 1996) for 43 respondents. The form of the developed model is (C) over bar (in) = k (C) over bar (out) + S/Q where k, the ventilation factor and S/Q the source term are the model constants. Analysis of variance and regression analysis indicated that type of fuel was the most significant factor influencing indoor concentration and model constants. Measured indoor concentrations were regressed on outdoor concentrations to evaluate model constants for kerosene and liquefied petroleum gas (LPG), which are the most predominantly used cooking fuels in Indian households. Final models, after evaluating the constants suggested that contribution to indoor NO(2) concentration due to indoor sources was higher in kerosene using households whereas in the case of LPG using households, the contribution due to outdoor sources was relatively higher. Results of model validation indicated that the predictive power of the models was good. (C) 2002 . .
URI: http://dx.doi.org/10.1016/S1352-2310(02)00471-5
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10505
http://hdl.handle.net/10054/10505
ISSN: 1352-2310
Appears in Collections:Article

Files in This Item:

There are no files associated with this item.

View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback