Pablo Garcia Rivera

ORCID: 0000-0002-1742-696X
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About
Contact & Profiles
Research Areas
  • Atmospheric chemistry and aerosols
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Vehicle emissions and performance
  • Child Nutrition and Water Access
  • Odor and Emission Control Technologies
  • Atmospheric aerosols and clouds
  • Viral gastroenteritis research and epidemiology
  • Infection Control and Ventilation
  • Atmospheric and Environmental Gas Dynamics
  • Occupational Health and Safety Research
  • Atmospheric Ozone and Climate
  • Risk and Safety Analysis
  • Biochemical Analysis and Sensing Techniques

Carnegie Mellon University
2021-2023

Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud
2023

Universidad Santo Tomás
2014

Occidental Petroleum (United States)
2006

The purpose of this study was to estimate cardiopulmonary mortality associations for long-term exposure PM2.5 species and sources (i.e., components) within the U.S. National Health Interview Survey cohort. Exposures were estimated through a chemical transport model six elemental carbon (EC), primary organic aerosols (POA), secondary (SOA), sulfate (SO4), ammonium (NH4), nitrate (NO3)) five vehicles, electricity-generating units (EGU), non-EGU industrial sources, biogenic (bio), "other"...

10.1021/acs.est.1c04176 article EN Environmental Science & Technology 2021-10-23

Abstract. Increasing the resolution of chemical transport model (CTM) predictions in urban areas is important to capture sharp spatial gradients atmospheric pollutant concentrations and better inform air quality emissions controls policies that protect public health. The PMCAMx (Particulate Matter Comprehensive Air Model with Extensions) was used assess impact increasing on ability predict source-resolved variability population exposure PM2.5 at 36×36, 12×12, 4×4, 1×1 km resolutions over...

10.5194/acp-22-2011-2022 article EN cc-by Atmospheric chemistry and physics 2022-02-11

Abstract. Significant reductions in emissions of SO2, NOx, volatile organic compounds (VOCs), and primary particulate matter (PM) took place the US from 1990 to 2010. We evaluate here our understanding links between these changes corresponding concentrations health outcomes using a chemical transport model, Particulate Matter Comprehensive Air Quality Model with Extensions (PMCAMx), for 1990, 2001, The use Particle Source Apportionment Algorithm (PSAT) allows us link concentration sources...

10.5194/acp-21-17115-2021 article EN cc-by Atmospheric chemistry and physics 2021-11-25

Introduction.The impact of non-nutritive sweeteners (NNS) on energy intake and body weight is not clear although they provide no compared to sucrose.Objective.To establish if there are differences in the consumption NNS as per nutritional status its association with overweight.Population, Material Methods.Crosssectional study including 571 male female students aged 10-16 years old from cities Viña del Mar Santiago de Chile who were administered an adapted food survey using pictures...

10.5546/aap.2014.eng.207 article EN Archivos Argentinos de Pediatria 2014-04-22

Abstract. Accurately predicting urban PM2.5 concentrations and composition has proved challenging in the past, partially due to resolution limitations of computationally intensive chemical transport models (CTMs). Increasing predictions is desired support emissions control policy development address issues related environmental justice. A nested grid approach using CTM PMCAMx-v2.0 was used predict at increasing resolutions 36 km × km, 12 4 1 for a domain largely consisting Allegheny County...

10.5194/gmd-15-8899-2022 article EN cc-by Geoscientific model development 2022-12-13

<p>Quantification of the spatial and temporal variations in sources air pollutants, especially PM<sub>2.5</sub>, can inform control strategies and, potentially, understanding PM<sub>2.5 </sub>health effects. Three-dimensional chemical transport models (CTMs) are well suited to help address this problem, since they simulate all major processes that impact </sub>concentrations transport. In study we quantify...

10.5194/egusphere-egu21-10567 article EN 2021-03-04

Abstract Managers and safety professionals have historically relied upon a series of lagging or trailing indicators to measure performance. Indicators such as the recordable incident rate (RIR) Lost Work Case Rate (LWCR) been used traditional ‘safety yardstick’. The inherent flaw in using is well known; tracking failure merely an exercise reporting old news. Focusing on RIR other indictors also leads problems. are often duped into believing that because they experiencing low RIR; their...

10.2118/98644-ms article EN 2006-04-02

The ability to provide speciated and source-resolved PM2.5 estimates make chemical transport models a potentially valuable tool for exposure assessments. However, epidemiological studies often require unbiased estimates, which can be challenging models. We use geographically weighted regression predict correct the bias in species (elemental carbon, organic aerosol, ammonium, nitrate, sulfate) across continental U.S. 2001 2010. are trained using ground-level monitors from CSN IMPROVE...

10.33774/chemrxiv-2021-h71p5 preprint EN cc-by-nc 2021-09-01

Abstract. Significant reductions of emissions SO2, NOx, volatile organic compounds (VOCs) and primary particulate matter (PM) took place in the US from 1990 to 2010. We evaluate here our understanding links between these changes corresponding concentrations health outcomes using a chemical transport model, Particulate Matter Comprehensive Air Quality Model with Extensions (PMCAMx) Particle Source Apportionment Algorithm (PSAT). Results for 1990, 2001 2010 are presented. The SO2 (64 %, mainly...

10.5194/acp-2021-495 preprint EN cc-by 2021-06-14

Abstract. Accurately predicting urban PM2.5 concentrations and composition has proved challenging in the past, partially due to resolution limitations of computationally intensive chemical transport models (CTMs). Increasing predictions is highly desired better inform air quality emissions controls policies that protect public health, also address issues related environmental justice. A nested grid approach using CTM PMCAMx-v2.0 was used predict at 36 × km, 12 4 1 km for a domain largely...

10.5194/gmd-2022-145 preprint EN cc-by 2022-07-19

Abstract. Biogenic secondary organic aerosol (bSOA) is a major component of atmospheric particulate matter (PM2.5) in the southeast United States especially during summer, when emissions biogenic volatile compound (VOCs) are high and from anthropogenic sources enhance formation matter. We evaluate performance PM2.5 predictions by chemical transport model (PMCAMx) response to significant changes summers 2001 2010. Average predicted bSOA concentrations US did not change appreciably summer...

10.5194/acp-2022-648 preprint EN cc-by 2022-09-19

Figure S1: Average surface level temperature in the summer of (a) 2001 and (b) 2010.Average 2 was higher 2010, promoting increases predicted emissions 3 biogenic VOCs by MEGANv3.

10.5194/acp-2022-648-supplement preprint EN 2022-09-19
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