{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:29:39Z","timestamp":1760239779603,"version":"build-2065373602"},"reference-count":62,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,24]],"date-time":"2020-12-24T00:00:00Z","timestamp":1608768000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Particulate matter is a common health hazard, and under certain conditions, an ecological threat. While many studies were conducted in regard to air pollution and potential effects, this paper serves as a pilot scale investigation into the spatial and temporal variability of particulate matter (PM) pollution in arid urban environments in general, and Beer-Sheva, Israel as a case study. We explore the use of commercially off the shelf (COTS) sensors, which provide an economical solution for spatio-temporal measurements. We started with a comparison process against an A-grade meteorological station, where it was shown that under specific climatic conditions, a number of COTS sensors were able to produce robust agreement (mean R2=0.93,\u00a0average\u00a0SD=17.5). The second stage examined the COTS sensors that were proven accurate in a mobile measurement campaign. Finally, data collected was compared to a validated satellite prediction model. We present how these tests and COTS sensor-kits could then be used to further explain the continuity and dispersion of particulate matter in similar areas.<\/jats:p>","DOI":"10.3390\/s21010063","type":"journal-article","created":{"date-parts":[[2020,12,24]],"date-time":"2020-12-24T09:02:44Z","timestamp":1608800564000},"page":"63","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Validating and Comparing Highly Resolved Commercial \u201cOff the Shelf\u201d PM Monitoring Sensors with Satellite Based Hybrid Models, for Improved Environmental Exposure Assessment"],"prefix":"10.3390","volume":"21","author":[{"given":"Dan","family":"Lesser","sequence":"first","affiliation":[{"name":"Faculty of Humanities and Social Sciences, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Itzhak","family":"Katra","sequence":"additional","affiliation":[{"name":"Faculty of Humanities and Social Sciences, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Dorman","sequence":"additional","affiliation":[{"name":"Faculty of Humanities and Social Sciences, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Homero","family":"Harari","sequence":"additional","affiliation":[{"name":"Ichan School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029-5674, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Itai","family":"Kloog","sequence":"additional","affiliation":[{"name":"Faculty of Humanities and Social Sciences, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1186\/1476-069X-11-40","article-title":"Using new satellite based exposure methods to study the assosication between pregnancy pm2.5 exposure, premature birth and birth weight in Massachusetts","volume":"11","author":"Itai","year":"2012","journal-title":"Environ. Health"},{"key":"ref_2","unstructured":"Luisa, M. (2007). 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