Time filter

Source Type

Angat, Philippines

Bautista VII A.T.,Philippine Nuclear Research Institute | Bautista VII A.T.,University of the Philippines at Diliman | Pabroa P.C.B.,Philippine Nuclear Research Institute | Santos F.L.,Notre Dame Of Vie Institute | And 2 more authors.
Atmospheric Pollution Research | Year: 2014

Concentrations of organic carbon (OC) and elemental carbon (EC) in PM2.5 were measured at an urban (Valenzuela City, Metro Manila) and a rural (Angat, Bulacan) site in the Philippines from September 2011 to August 2012 by thermal-optical reflectance analysis following IMPROVE-A protocol. Results show that OC (8.00 μg m-3) and EC (6.63 μg m-3) levels in Valenzuela were 2-3 times higher than those in Angat (OC: 4.08 μg m-3, EC: 2.29 μg m-3). The total carbon contributions (OC+EC) to PM2.5 mass for the urban and rural site were 38.9% and 19.7% respectively. Compared to neighboring countries in Asia, the Philippine sites have intermediate OC concentrations and greatly elevated EC levels. These suggest the presence of highly inefficient combustion sources and highlight the need for the regulation of such emissions. Valenzuela was dominated by OC2, OC3, and EC1 (carbon fractions evolving at 280 °C and 480 °C in pure He phase and 580 °C in He/O2 phase of the analysis, respectively) which points to vehicular, industrial, and cooking sectors as the possible main sources. While generally having lower concentrations and being less EC-dominated, Angat had remarkably higher levels of the EC2 fraction which suggests a unique EC source in the area. Conditional Probability Function (CPF) for Valenzuela OC and EC show similar results pointing towards the 30°, 150°, and 210° direction, indicating common sources for these species. Detailed survey of the surrounding area is needed to ascertain the identities of the sources present in these directions. © Author(s) 2014. Source

Bautista A.T.,Philippine Nuclear Research Institute | Bautista A.T.,University of the Philippines at Diliman | Pabroa P.C.B.,Philippine Nuclear Research Institute | Santos F.L.,Notre Dame Of Vie Institute | And 4 more authors.
Atmospheric Pollution Research | Year: 2015

Thermal-optical analysis is one of the most widely-recognized methods for measuring organic carbon (OC) and elemental carbon (EC) in atmospheric particulates. Up to date however, there is no standard protocol of analysis and different protocols give varying OC/EC apportionments. This study aims to find an optimal thermal-optical analysis protocol for Philippine OC/EC samples by comparing three widely-used protocols: NIOSH, IMPROVE_A and EUSAAR_2. Philippines is particularly interesting because it has one of the highest EC concentration and lowest OC/EC ratio in the region. In terms of total OC and EC quantification, NIOSH and IMPROVE_A show negative and positive EC bias, respectively-NIOSH exhibits premature EC evolution in the OC4 pure He phase, while IMPROVE_A OC4 temperature step (580 °C) is not sufficiently high, causing some OC to be carried over to He/O2 phase to be measured mainly as EC2. EUSAAR_2 minimizes both effects and may be most accurate in this aspect. However, IMPROVE_A is the only method that is capable of properly resolving individual OC and Philippines’s particularly abundant EC fractions owing to the protocol’s variable step durations. Concurrently, IMPROVE_A and EUSAAR_2 yield lowest pyrolized carbon (PC) formation for urban and rural site, respectively. Minimal PC formation is desired to minimize errors associated with its correction. Finally, transmittance laser correction is preferred over reflectance as it is capable of accounting for char formed within filter. The study thus recommends a modified IMPROVE_A, with increased OC4 temperature step (650 °C, adopted from EUSAAR_2) and transmittance laser correction, as optimal. This protocol is expected to give proper OC and EC evolution, fractionation, and measurement with minimized PC formation and proper correction, leading to more accurate results. Preliminary testing shows that recommended protocol meets those expectations. Application to larger number and wider variety of samples is needed to more properly assert these findings. © Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License. Source

Discover hidden collaborations