{"id":{"repo_id":"umn","oai_identifier":"oai:conservancy.umn.edu:11299/191267"},"canonical_url":"https://search.dev.ndltd.org/etd/umn/oai:conservancy.umn.edu:11299/191267","repository":{"repo_id":"umn","name":"University of Minnesota","base_url":"https://conservancy.umn.edu/server/oai/request"},"display":{"title":"Wireless Dust Sensor Network for a Feedlot Dust Abatement Study","abstract":"The mobilization of animals across Concentrated Animal Feeding Operations (CAFOs) generates large dust plumes causing visibility and human health issues. The ability to measure with many sampling points across a field and to have vertical measurements would aid in the characterization of dust plumes by providing a more accurate, average concentration. A small, inexpensive, portable, wireless nephelometer dust sensor was developed using a low-cost, commercial optical sensing module. A second dust sensor was developed that samples air by the method of impaction of a dust-air stream into a water droplet capturing images using a low-cost USB microscope. The Box Model was used to calculate the emissions from measured concentrations at a source location and a Gaussian Dispersion Model predicted the concentration at a downwind location. Dust plume modelling showed six low-cost sensors with 20% error resulted in higher accuracy than a single reference sensor.","abstract_html":"The mobilization of animals across Concentrated Animal Feeding Operations (CAFOs) generates large dust plumes causing visibility and human health issues. The ability to measure with many sampling points across a field and to have vertical measurements would aid in the characterization of dust plumes by providing a more accurate, average concentration. A small, inexpensive, portable, wireless nephelometer dust sensor was developed using a low-cost, commercial optical sensing module. A second dust sensor was developed that samples air by the method of impaction of a dust-air stream into a water droplet capturing images using a low-cost USB microscope. The Box Model was used to calculate the emissions from measured concentrations at a source location and a Gaussian Dispersion Model predicted the concentration at a downwind location. Dust plume modelling showed six low-cost sensors with 20% error resulted in higher accuracy than a single reference sensor.","abstract_has_math":false,"creators":["Klar, Scott"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-02","date_published":"2016-02","updated_at":"2026-07-24T05:19:50Z","subjects":["dust","gaussian","nephelometer","network","sensor","wireless"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11299/191267","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Klar, Scott"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-11-27T21:26:49Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-11-27T21:26:49Z"]},{"key":"dc:date.issued","label":"Date","values":["2016-02"]},{"key":"dc:type","label":"Dc Type","values":["Thesis or Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["dust","gaussian","nephelometer","network","sensor","wireless"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11299/191267"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["University of Minnesota M.S. thesis.February 2016. Major: Electrical/Computer Engineering. Advisor: Taek Kwon. 1 computer file (PDF); viii, {4} 42 pages."]},{"key":"dc:description.abstract","label":"Abstract","values":["The mobilization of animals across Concentrated Animal Feeding Operations (CAFOs) generates large dust plumes causing visibility and human health issues. The ability to measure with many sampling points across a field and to have vertical measurements would aid in the characterization of dust plumes by providing a more accurate, average concentration. A small, inexpensive, portable, wireless nephelometer dust sensor was developed using a low-cost, commercial optical sensing module. A second dust sensor was developed that samples air by the method of impaction of a dust-air stream into a water droplet capturing images using a low-cost USB microscope. The Box Model was used to calculate the emissions from measured concentrations at a source location and a Gaussian Dispersion Model predicted the concentration at a downwind location. Dust plume modelling showed six low-cost sensors with 20% error resulted in higher accuracy than a single reference sensor."]},{"key":"dc:title","label":"Title","values":["Wireless Dust Sensor Network for a Feedlot Dust Abatement Study"]}]}],"canonical_facts":{"dc:creator":["Klar, Scott"],"dc:date.accessioned":["2017-11-27T21:26:49Z"],"dc:date.available":["2017-11-27T21:26:49Z"],"dc:date.issued":["2016-02"],"dc:description":["University of Minnesota M.S. thesis.February 2016. Major: Electrical/Computer Engineering. Advisor: Taek Kwon. 1 computer file (PDF); viii, {4} 42 pages."],"dc:description.abstract":["The mobilization of animals across Concentrated Animal Feeding Operations (CAFOs) generates large dust plumes causing visibility and human health issues. The ability to measure with many sampling points across a field and to have vertical measurements would aid in the characterization of dust plumes by providing a more accurate, average concentration. A small, inexpensive, portable, wireless nephelometer dust sensor was developed using a low-cost, commercial optical sensing module. A second dust sensor was developed that samples air by the method of impaction of a dust-air stream into a water droplet capturing images using a low-cost USB microscope. The Box Model was used to calculate the emissions from measured concentrations at a source location and a Gaussian Dispersion Model predicted the concentration at a downwind location. Dust plume modelling showed six low-cost sensors with 20% error resulted in higher accuracy than a single reference sensor."],"dc:identifier.uri":["http://hdl.handle.net/11299/191267"],"dc:language.iso":["en"],"dc:subject":["dust","gaussian","nephelometer","network","sensor","wireless"],"dc:title":["Wireless Dust Sensor Network for a Feedlot Dust Abatement Study"],"dc:type":["Thesis or Dissertation"]},"updated_at":"2026-07-24T05:19:50Z"}