Dr. Alexandra Chudnovsky Profile

Dr. Alexandra Chudnovsky

at Tel-Aviv Univ

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 3 October 2006 Paper

Spatial pattern of indoor settled dust in Tel-Aviv urban area as was monitored by reflectance spectroscopy in the NIR-SWIR region (1.2-2.4 μm)

A. Chudnovsky, E. Ben-Dor

Proceedings Volume 6366, 63660R (2006) https://doi.org/10.1117/12.690969

KEYWORDS: Reflectivity, Calibration, Glasses, Statistical modeling, Reflectance spectroscopy, Buildings, Absorption, Environmental sensing, Near infrared spectroscopy, Particles

Read Abstract +

The aim of this study was to apply a spectral reflectance approach to account for small amounts of sediment dust in occupied homes. We examined the method's ability to predict the gravimetric weight of sediment dust particles solely from the reflectance data (1250-2400 nm). Multivariate data analysis based on Partial Least Squares (PLS) regression was run to predict the dust loads solely from reflectance data. Use of difference spectral index in the PLS analyses was found to demonstrate the best pre-treatment in PLS modeling. In this study, 92 measurements of dust settled on glass traps in living and bed room environments were performed, in 90 buildings within Tel-Aviv city. A map of dust distribution, based both, on the reference gravimetric and spectrally predicted weight values was generated. Reasonable explanation was provided to the found distribution that can be easily used by decision makers to improve the indoor life quality. We conclude that this methodology (simple and rapid in-situ spectral measurements with appropriate analyses), can be employed to assess dust in both indoor and outdoor environments (in small and high dust environment). This information can be used for initial decision making, improving indoor conditions, and tracking dust contamination following environmental change. This method can be further used to assess on-line very small amounts of dust and accordingly to identify shade on the environmental air quality on regular non dusty-days.

Proceedings Article | 22 October 2004 Paper

Indoor sediment dust load as monitored by reflectance spectroscopy in the NIR-SWIR region (1.2-2.4 µm)

Alexandra Chudnovsky, Eyal Ben-Dor, E. Paz

Proceedings Volume 5574, (2004) https://doi.org/10.1117/12.563359

KEYWORDS: Reflectivity, Talc, Calibration, Glasses, Absorbance, Particles, Data modeling, Near infrared, Spectroscopy, Statistical modeling

Read Abstract +

This study was aimed at developing a new sensitive approach to account for small sediment dust particles using spectral reflectance across the shortwave spectral region (1250-2400 micron). The NIRA (Near Infrared Analyses) approach was adopted in order to examine its capability to predict gravimetric weight of sediment dust particles solely from the reflectance data. In order to quantitatively characterize the dust loading process, two model composition mixtures representing homogeneity (talc powder) and heterogeneity (Environmental Protected Agency (EPA) dust) of chemical compounds were examined. A wind tunnel was constructed and used to simulate the different amounts of dust loadings over an indoor environment. Different spectral manipulations most commonly used to analyze spectral data were tested. On these manipulated spectra, a multivariate data analysis based on Partial Least Squares (PLS) regression was run and prediction modeling between NIR spectroscopy and the dust loadings was generated. For this purpose, the relationship between spectroscopic measurements and the total gravimetric weight was used. Using reflectance values in the PLS analysis was found to demonstrate the best performance in EPA dust relative to other manipulations employed (with RMSEP of 4.8%). For the talc dust, the first derivative of absorbance manipulation was found to demonstrate the best performance relative to other manipulations with RMSEP of 5.4%. Although the RMSEP might seem somewhat high, one should note that this concerns a relatively small amount of dust with a narrow gravimetric weight of ±0.0001 g. Moreover, validation and examination tests applied to the population studied have presented very significant results. This method can be further used to assess very small amounts of dust in indoor environments and accordingly to identify shade on the environmental air quality on regular non dusty-days.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years