Brian Naess
University of North Carolina at Chapel Hill
10 Papers
16 Citations
Brian Naess is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Air quality index & Atmospheric dispersion modeling. The author has an hindex of 5, co-authored 9 publications.
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Papers
Assessment of source contribution to air quality in an urban area close to a harbor: Case-study in Porto, Portugal
Sandra Sorte,Saravanan Arunachalam,Brian Naess,Catherine Seppanen,Vera Rodrigues,Alejandro Valencia,Carlos Borrego,Alexandra Monteiro +7 more
TL;DR: This contribution was investigated using a numerical modelling approach based on the web-based research screening tool C-PORT and indicated that land-based emission sources at the Port were the major contributors for the levels of surface PM10 concentrations over the study area.
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A modeling framework for characterizing near-road air pollutant concentration at community scales
Shih Ying Chang,William Vizuete,Alejandro Valencia,Brian Naess,Vlad Isakov,Ted Palma,Michael Breen,Saravanan Arunachalam +7 more
TL;DR: A novel Space/Time Ordinary Kriging (STOK) approach that uses data from monitoring networks to provide urban background concentrations to inform exposure estimates for traffic-related air pollutants (TRAPs) with a high spatial resolution is developed.
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A near-road modeling system for community-scale assessments of traffic-related air pollution in the United States
TL;DR: The Community Line Source (C-LINE) modeling system estimates emissions and dispersion of toxic air pollutants for roadways within the continental United States, and is optimized for use on community-sized areas.
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Creating Locally-Resolved Mobile-Source Emissions Inputs for Air Quality Modeling in Support of an Exposure Study in Detroit, Michigan, USA
Michelle Snyder,Saravanan Arunachalam,Vlad Isakov,Kevin Talgo,Brian Naess,Alejandro Valencia,Mohammad Omary,Neil Davis,Rich Cook,Adel Hanna +9 more
TL;DR: It is concluded that with detailed model inputs supported by local traffic measurements and meteorology, it is possible to capture the spatial and temporal patterns needed to accurately estimate exposure from traffic-related pollutants.
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ZIP Code-Level Estimation of Air Quality and Health Risk Due to Particulate Matter Pollution in New York City
Komal Shukla,Catherine Seppanen,Brian Naess,Charles Chang,David Cooley,Andreas Maier,Frank Divita,Masha Pitiranggon,Sarah Johnson,Kazuhiko Ito,Saravanan Arunachalam +10 more
TL;DR: In this paper , the authors developed a new ZIP Code-Level Air Pollution Policy Assessment (ZAPPA) tool for NYC by integrating two reduced form models, Community Air Quality Tools (C-TOOLS) and the Co-Benefits Risk Assessment Health Impacts Screening and Mapping Tool (COBRA), that propagate emissions changes to estimate air pollution exposures and health benefits.
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