Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon.
This study combines Ordinary Kriging, odor monitoring, and wind direction data to demonstrate how these elements can be applied to identify the source of an industrial odor. The specific case study used as an example of how to address this issue was the University Park neighborhood of Portland, Oreg...
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doaj-9ff0995a67d14291a29a051d518734772020-11-25T01:49:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01131e018917510.1371/journal.pone.0189175Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon.Ted C EckmannSamantha G WrightLogan K SimpsonJoe L WalkerSteven A KolmesJames E HouckSandra C VelasquezThis study combines Ordinary Kriging, odor monitoring, and wind direction data to demonstrate how these elements can be applied to identify the source of an industrial odor. The specific case study used as an example of how to address this issue was the University Park neighborhood of Portland, Oregon (USA) where residents frequently complain about industrial odors, and suspect the main source to be a nearby Daimler Trucks North America LLC manufacturing plant. We collected 19,665 odor observations plus 105,120 wind measurements, using an automated weather station to measure winds in the area at five-minute intervals, logging continuously from December 2014 through November 2015, while we also measured odors at 19 locations, three times per day, using methods from the American Society of the International Association for Testing and Materials. Our results quantify how winds vary with season and time of day when industrial odors were observed versus when they were not observed, while also mapping spatiotemporal patterns in these odors using Ordinary Kriging. Our analyses show that industrial odors were detected most frequently to the northwest of the Daimler plant, mostly when winds blew from the southeast, suggesting Daimler's facility is a likely source for much of this odor.http://europepmc.org/articles/PMC5791939?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ted C Eckmann Samantha G Wright Logan K Simpson Joe L Walker Steven A Kolmes James E Houck Sandra C Velasquez |
spellingShingle |
Ted C Eckmann Samantha G Wright Logan K Simpson Joe L Walker Steven A Kolmes James E Houck Sandra C Velasquez Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon. PLoS ONE |
author_facet |
Ted C Eckmann Samantha G Wright Logan K Simpson Joe L Walker Steven A Kolmes James E Houck Sandra C Velasquez |
author_sort |
Ted C Eckmann |
title |
Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon. |
title_short |
Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon. |
title_full |
Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon. |
title_fullStr |
Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon. |
title_full_unstemmed |
Combining Ordinary Kriging with wind directions to identify sources of industrial odors in Portland, Oregon. |
title_sort |
combining ordinary kriging with wind directions to identify sources of industrial odors in portland, oregon. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
description |
This study combines Ordinary Kriging, odor monitoring, and wind direction data to demonstrate how these elements can be applied to identify the source of an industrial odor. The specific case study used as an example of how to address this issue was the University Park neighborhood of Portland, Oregon (USA) where residents frequently complain about industrial odors, and suspect the main source to be a nearby Daimler Trucks North America LLC manufacturing plant. We collected 19,665 odor observations plus 105,120 wind measurements, using an automated weather station to measure winds in the area at five-minute intervals, logging continuously from December 2014 through November 2015, while we also measured odors at 19 locations, three times per day, using methods from the American Society of the International Association for Testing and Materials. Our results quantify how winds vary with season and time of day when industrial odors were observed versus when they were not observed, while also mapping spatiotemporal patterns in these odors using Ordinary Kriging. Our analyses show that industrial odors were detected most frequently to the northwest of the Daimler plant, mostly when winds blew from the southeast, suggesting Daimler's facility is a likely source for much of this odor. |
url |
http://europepmc.org/articles/PMC5791939?pdf=render |
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