Estimation of particulate matter from simulation and measurements

Makiko Nakata; Tomio Nakano; Takaaki Okuhara; Itaru Sano; Sonoyo Mukai

doi:10.1117/12.897935

26 October 2011 Estimation of particulate matter from simulation and measurements

Makiko Nakata, Tomio Nakano, Takaaki Okuhara, Itaru Sano, Sonoyo Mukai

Proceedings Volume 8177, Remote Sensing of Clouds and the Atmosphere XVI; 817713 (2011) https://doi.org/10.1117/12.897935
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

The particulate matter is a typical indicator of small particles in the atmosphere. In addition to providing impacts on climate and environment, these small particles can bring adverse effects on human health. Then an accurate estimation of particulate matter is an urgent subject. We set up SPM sampler attached to our AERONET (Aerosol Robotics Network) station in urban city of Higashi-Osaka in Japan. The SPM sampler provides particle information about the concentrations of various SPMs (e.g., PM10 and PM2.5) separately. The AEROENT program is world wide ground based sunphotometric observation networks by NASA and provides the spectral information about aerosol optical thickness (AOT) and Angstrom exponent (α). Simultaneous measurements show that a linear correlation definitely exists between AOT and PM2.5. These results indicate that particulate matter can be estimated from AOT. However AOT represents integrated values of column aerosol amount retrieved from optical property, while particulate matter concentration presents in-situ aerosol loading on the surface. Then simple way using linear correlation brings the discrepancy between observed and estimated particulate matter. In this work, we use cluster information about aerosol type to reduce the discrepancy. Our improved method will be useful for retrieving particulate matter from satellite measurements.

Citation Download Citation

Makiko Nakata, Tomio Nakano, Takaaki Okuhara, Itaru Sano, and Sonoyo Mukai "Estimation of particulate matter from simulation and measurements", Proc. SPIE 8177, Remote Sensing of Clouds and the Atmosphere XVI, 817713 (26 October 2011); https://doi.org/10.1117/12.897935

ACCESS THE FULL ARTICLE

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