Spatio-temporal model for predicting the concentration of fine particulate matter (PM 2.5) in metropolitan area of São Paulo

• Grant number: 16/09411-1
• Support Opportunities: Scholarships in Brazil - Doctorate
• Effective date (Start): March 01, 2017
• Effective date (End): June 30, 2020
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Paulo Hilário Nascimento Saldiva
• Grantee: Aline Santos Damascena
• Host Institution: Faculdade de Medicina (FM). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 13/21728-2 - The use of modern autopsy techniques to investigate human diseases (MODAU), AP.TEM

Abstract

Spatial-temporal patterns of atmospheric particulate matter (PM) are known to be an important factor to predict some poor health outcomes of inhabitants in a urban area. In general, the number of monitoring centers measuring PM in a certain region is less than what is needed to reach the appropriate resolution. Statistical models for data such as Aerosol Optical Depth (AOD) and Land-Use variables are used to fill in the gap. Our objective is to develop models that allow the estimation of PM concentration with the desirable resolution and to use the results to evaluate the impact on health outcomes of people living in the metropolitan area of São Paulo, Brazil. We intend to collaborate with investigators from the Harvard School of Public Health who have experience in High resolution AOD retrievals.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DAMASCENA, ALINE SANTOS; YAMASOE, MARCIA AKEMI; MARTINS, VITOR SOUZA; ROSAS, JORGE; BENAVENTE, NOELIA ROJAS; SANCHEZ, MACIEL PINERO; TANAKA, NELSON ITHIRO; NASCIMENTO SALDIVA, PAULO HILARIO. Exploring the relationship between high-resolution aerosol optical depth values and ground-level particulate matter concentrations in the Metropolitan Area of SAo Paulo. Atmospheric Environment, v. 244, JAN 1 2021. (16/09411-1)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

DAMASCENA, Aline Santos. Spatiotemporal model fine for predicting fine particulate matter concentration in the Metropolitan Area of São Paulo. 2020. Doctoral Thesis - Universidade de São Paulo (USP). Faculdade de Medicina (FM/SBD) São Paulo.