Related Experiment Video
Updated: May 12, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
Published on: January 20, 2023
PM10 source apportionment in a Swiss Alpine valley impacted by highway traffic
Regina E Ducret-Stich1, Ming-Yi Tsai, Devraj Thimmaiah
1Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, 4002, Basel, Switzerland. regina.ducret@unibas.ch
Trans-Alpine highway traffic significantly contributes to air pollution, impacting residential exposure. This study quantifies particulate matter (PM10) sources, revealing traffic exhaust, road dust, and secondary particles as key contributors in Alpine villages.
Area of Science:
- Environmental Science
- Air Quality
- Public Health
Background:
- Trans-Alpine highway traffic exhaust is a major air pollution source in Alpine valleys.
- Limited understanding exists regarding its contribution to residential exposure and respiratory health impacts.
- Particulate matter (PM10) exposure is a growing concern in sensitive environments like Alpine villages.
Purpose of the Study:
- To determine source-specific contributions to PM10 concentrations in an Alpine village.
- To analyze the spatio-temporal distribution of PM10 sources.
- To provide data for a pediatric asthma panel study.
Main Methods:
- Positive matrix factorization (PMF) was applied to daily PM10 filters.
- Chemical trace elements, elemental carbon, and organic carbon data were used.
- Samples were collected from seven village locations between November 2007 and June 2009.
Main Results:
- Nine PM10 sources were identified, with four directly related to road traffic (exhaust, dust, tire/brake wear, road salt).
- Traffic-related sources contributed 16% (exhaust), 8% (dust), 1% (tire/brake wear), and 2% (road salt) to annual PM10.
- Other significant sources included secondary particles (27%), biomass burning (18%), railway (11%), and mineral dust (13%).
- Traffic-related source contributions showed a clear distance dependence from the highway.
Conclusions:
- Road traffic is a significant contributor to PM10 in Alpine village environments.
- Source apportionment provides crucial data for understanding residential exposure and health impacts.
- Biomass burning and secondary particles are also major contributors, particularly in winter.
More Related Videos
Related Concept Videos
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Elevation of Intermediate Points on Vertical Curves
Design Example: Alignment of a Road Line Using GIS

