A5007074414- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Vehicle emissions and performance
- Catalysis for Biomass Conversion
- Ammonia Synthesis and Nitrogen Reduction
- Asymmetric Hydrogenation and Catalysis
- Supercapacitor Materials and Fabrication
- Atmospheric and Environmental Gas Dynamics
- Atmospheric Ozone and Climate
- Atmospheric aerosols and clouds
- Biofuel production and bioconversion
Carnegie Mellon University
2021-2023
Center for Innovation
2017-2020
University of Delaware
2017-2020
Newark Hospital
2017
Abstract Amines are widely used in the manufacture of pharmaceuticals, agricultural chemicals, polymers, and surfactants. However, amines mostly produced via petrochemical means, which motivates amine production from renewable resources, such as biomass. biomass compounds present added challenges involving poor carbon balances. We show that furfural reacts homogeneously with ammonia to produce reactive primary imines, form large side products leads significant losses. The balance is improved...
Developed as energy-efficient and integrated method for soluble sugars furfurals with high yields carbon efficiency from polysaccharides lignocellulosic biomass.
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...
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...
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...
<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...
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...
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...
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...
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...
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.
KEYWORDS PM25, air pollution sources, exposure BACKGROUND AND AIM The quantification of the contributions sources pollutants, especially PM2.5, can be used for improvement our understanding PM2.5 health effects. Three-dimensional chemical transport models are well suited to address this problem, since they simulate all major processes that impact concentrations and transport. In work, we quantified changes in concentration, exposure, composition, US. Significant reductions emissions SO2,...
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 was used assess impact increasing on ability predict source-resolved variability population exposure PM2.5 at 36 x 36, 12 12, 4 4, 1 km resolutions over city Pittsburgh during typical winter summer periods (February...