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Norman F. Robinson

Researcher at Desert Research Institute

Publications -  17
Citations -  1480

Norman F. Robinson is an academic researcher from Desert Research Institute. The author has contributed to research in topics: Particulates & Aerosol. The author has an hindex of 12, co-authored 17 publications receiving 1351 citations.

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The IMPROVE_A Temperature Protocol for Thermal/Optical Carbon Analysis: Maintaining Consistency with a Long-Term Database

TL;DR: A method to detect small quantities of O2 in the pure He carrier gas shows that O2 levels above 100 ppmv also affect the comparability of thermal carbon fractions but have little effect on the IMPROVE_TOR split between OC and EC.
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Real-world automotive emissions—Summary of studies in the Fort McHenry and Tuscarora mountain tunnels

TL;DR: In this article, vehicle emission rates of CO, NO, NOx, and gas-phase speciated nonmethane hydrocarbons (NMHC) and carbonyl compounds were measured in 1992 in the Fort McHenry Tunnel under Baltimore Harbor and in the Tuscarora Mountain Tunnel of the Pennsylvania Turnpike, for comparison with emission-model predictions and for calculation of the reactivity of vehicle emissions with respect to 03 formation.
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The USEPA/DRI chemical mass balance receptor model, CMB 7.0

TL;DR: The U.S. Environmental Protection Agency's Chemical Mass Balance Model developed in cooperation with the Desert Research Institute, Reno, NV as discussed by the authors was used to estimate source contributions to pollutants measured at a receptor site, using measured profiles of the source chemical and elemental compositions.
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The ammonium nitrate particle equivalent of NOx emissions for wintertime conditions in Central California's San Joaquin Valley

TL;DR: In this paper, a photochemical box model with gas-phase photochemistry, aerosol production and deposition was used to calculate the ammonium nitrate particle equivalent of NOx emissions.
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Performance of the chemical mass balance model with simulated local-scale aerosols

TL;DR: In this article, a general methodology for performing simulations of the Chemical Mass Balance (CMB) model is developed and applied to simple and complex local scale scenarios, where the CMB is applied to each daily measurement using a source library containing all sources and their long-term profiles.