Related Experiment Video
Updated: May 25, 2026

06:52
Lab-Scale Model to Evaluate Odor and Gas Concentrations Emitted by Deep Bedded Pack Manure
Published on: July 19, 2018
A multi-year field olfactometry study near a concentrated animal feeding operation
Pamela Dalton1, Edward A Caraway, Herman Gibb
1Monell Chemical Senses Center, Philadelphia, Pennsylvania 19104, USA. pdalton@pobox.upenn.edu
Journal of the Air & Waste Management Association (1995)
|January 24, 2012
Summary
This study monitored odors near a Concentrated Animal Feeding Operation (CAFO) using the Nasal Ranger. Hog manure odors were detected infrequently, correlating with wind direction and speed.
Area of Science:
- Environmental Science
- Atmospheric Science
- Animal Science
Background:
- Concentrated Animal Feeding Operations (CAFOs) can generate significant odor emissions.
- Effective odor monitoring protocols are crucial for assessing environmental impact and community relations.
Purpose of the Study:
- To develop and validate a protocol for monitoring odors using portable field olfactometry near a swine CAFO.
- To assess the frequency and characteristics of odors attributable to hog manure.
Main Methods:
- A panel of trained individuals utilized the Nasal Ranger, a portable field olfactometry instrument.
- Monitoring was conducted over three years, collecting data on odor intensity, odor descriptions, and meteorological conditions.
- Monitors were selected for olfactory sensitivity and impartiality.
Main Results:
- Over 50,000 readings were collected, with only 41 (0.1%) instances of hog manure odor at a dilution to threshold ratio (D/T) of +/- 7:1.
- Odor detection frequency was negatively correlated with wind speed and positively correlated with wind originating from the CAFO's direction.
- Temperature, precipitation, cloud cover, and time of day did not significantly influence odor detection frequency.
Conclusions:
- The developed protocol provides a reliable method for monitoring CAFO-related odors.
- Hog manure odors were infrequent under the monitored conditions, with wind being a primary influencing factor.
- Further research can refine odor dispersion modeling and mitigation strategies.

