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Caron-Beaudoin É, Subramanian A, Daley C, Lakshmanan S, Whitworth KW. Estimation of exposure to particulate matter in pregnant individuals living in an area of unconventional oil and gas operations: Findings from the EXPERIVA study. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2023; 86:383-396. [PMID: 37154018 DOI: 10.1080/15287394.2023.2208594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Northeastern British Columbia (Canada) is an area of oil and gas exploitation, which may result in release of fine (PM2.5) and inhalable (PM10) particulate matter. The aims of this study were to: 1) apply extrapolation methods to estimate exposure to PM2.5 and PM10 concentrations among EXPERIVA (Exposures in the Peace River Valley study) participants using air quality data archives; and 2) conduct exploratory analyses to investigate correlation between PM exposure and metrics of oil and gas wells density, proximity, and activity. Gestational exposure to PM2.5 and PM10 of the EXPERIVA participants (n = 85) was estimated by averaging the concentrations measured at the closest or three closest air monitoring stations during the pregnancy period. Drilling metrics were calculated based upon the density and proximity of conventional and unconventional oil and gas wells to each participant's residence. Phase-specific metrics were determined for unconventional wells. The correlations (ρ) between exposure to PM2.5 and PM10 and metrics of well density/proximity were determined using Spearman's rank correlation test. Estimated PM ambient air concentrations ranged between 4.73 to 12.13 µg/m3 for PM2.5 and 7.14 to 26.61 µg/m3 for PM10. Conventional wells metrics were more strongly correlated with PM10 estimations (ρ between 0.28 and 0.79). Unconventional wells metrics for all phases were positively correlated with PM2.5 estimations (ρ between 0.23 and 0.55). These results provide evidence of a correlation between density and proximity of oil and gas wells and estimated PM exposure in the EXPERIVA participants.
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Affiliation(s)
- Élyse Caron-Beaudoin
- Department of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Centre for Clinical Epidemiology and Evaluation, University of British Columbia, Vancouver, British Columbia, Canada
| | - Amrita Subramanian
- Department of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Coreen Daley
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Siddharthan Lakshmanan
- Department of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Kristina W Whitworth
- Department of Medicine, Section of Epidemiology and Population Sciences, Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
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Fanti G, Spinazzè A, Borghi F, Rovelli S, Campagnolo D, Keller M, Borghi A, Cattaneo A, Cauda E, Cavallo DM. Evolution and Applications of Recent Sensing Technology for Occupational Risk Assessment: A Rapid Review of the Literature. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22134841. [PMID: 35808337 PMCID: PMC9269318 DOI: 10.3390/s22134841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 06/06/2022] [Accepted: 06/24/2022] [Indexed: 05/19/2023]
Abstract
Over the last decade, technological advancements have been made available and applied in a wide range of applications in several work fields, ranging from personal to industrial enforcements. One of the emerging issues concerns occupational safety and health in the Fourth Industrial Revolution and, in more detail, it deals with how industrial hygienists could improve the risk-assessment process. A possible way to achieve these aims is the adoption of new exposure-monitoring tools. In this study, a systematic review of the up-to-date scientific literature has been performed to identify and discuss the most-used sensors that could be useful for occupational risk assessment, with the intent of highlighting their pros and cons. A total of 40 papers have been included in this manuscript. The results show that sensors able to investigate airborne pollutants (i.e., gaseous pollutants and particulate matter), environmental conditions, physical agents, and workers' postures could be usefully adopted in the risk-assessment process, since they could report significant data without significantly interfering with the job activities of the investigated subjects. To date, there are only few "next-generation" monitors and sensors (NGMSs) that could be effectively used on the workplace to preserve human health. Due to this fact, the development and the validation of new NGMSs will be crucial in the upcoming years, to adopt these technologies in occupational-risk assessment.
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Affiliation(s)
- Giacomo Fanti
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
- Correspondence: ; Tel.: +39-031-2386645
| | - Andrea Spinazzè
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
| | - Francesca Borghi
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
| | - Sabrina Rovelli
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
| | - Davide Campagnolo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
| | - Marta Keller
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
| | - Andrea Borghi
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
| | - Andrea Cattaneo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
| | - Emanuele Cauda
- Center for Direct Reading and Sensor Technologies, National Institute for Occupational Safety and Health, Pittsburgh, PA 15236, USA;
- Centers for Disease Control and Prevention, Pittsburgh, PA 15236, USA
| | - Domenico Maria Cavallo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (F.B.); (S.R.); (D.C.); (M.K.); (A.B.); (A.C.); (D.M.C.)
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Fanti G, Borghi F, Spinazzè A, Rovelli S, Campagnolo D, Keller M, Cattaneo A, Cauda E, Cavallo DM. Features and Practicability of the Next-Generation Sensors and Monitors for Exposure Assessment to Airborne Pollutants: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2021; 21:4513. [PMID: 34209443 PMCID: PMC8271362 DOI: 10.3390/s21134513] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/25/2021] [Accepted: 06/28/2021] [Indexed: 11/22/2022]
Abstract
In the last years, the issue of exposure assessment of airborne pollutants has been on the rise, both in the environmental and occupational fields. Increasingly severe national and international air quality standards, indoor air guidance values, and exposure limit values have been developed to protect the health of the general population and workers; this issue required a significant and continuous improvement in monitoring technologies to allow the execution of proper exposure assessment studies. One of the most interesting aspects in this field is the development of the "next-generation" of airborne pollutants monitors and sensors (NGMS). The principal aim of this review is to analyze and characterize the state of the art and of NGMS and their practical applications in exposure assessment studies. A systematic review of the literature was performed analyzing outcomes from three different databases (Scopus, PubMed, Isi Web of Knowledge); a total of 67 scientific papers were analyzed. The reviewing process was conducting systematically with the aim to extrapolate information about the specifications, technologies, and applicability of NGMSs in both environmental and occupational exposure assessment. The principal results of this review show that the use of NGMSs is becoming increasingly common in the scientific community for both environmental and occupational exposure assessment. The available studies outlined that NGMSs cannot be used as reference instrumentation in air monitoring for regulatory purposes, but at the same time, they can be easily adapted to more specific applications, improving exposure assessment studies in terms of spatiotemporal resolution, wearability, and adaptability to different types of projects and applications. Nevertheless, improvements needed to further enhance NGMSs performances and allow their wider use in the field of exposure assessment are also discussed.
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Affiliation(s)
- Giacomo Fanti
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Francesca Borghi
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Andrea Spinazzè
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Sabrina Rovelli
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Davide Campagnolo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Marta Keller
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Andrea Cattaneo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
| | - Emanuele Cauda
- Center for Direct Reading and Sensor Technologies, National Institute for Occupational Safety and Health, Pittsburgh, PA 15236, USA;
- Centers for Disease Control and Prevention, Pittsburgh, PA 15236, USA
| | - Domenico Maria Cavallo
- Department of Science and High Technology, University of Insubria, 22100 Como, Italy; (A.S.); (S.R.); (D.C.); (M.K.); (A.C.); (D.M.C.)
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Cheriyan D, Choi JH. Data on different sized particulate matter concentration produced from a construction activity. Data Brief 2020; 33:106467. [PMID: 33195778 PMCID: PMC7644872 DOI: 10.1016/j.dib.2020.106467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 10/21/2020] [Accepted: 10/23/2020] [Indexed: 11/11/2022] Open
Abstract
Particulate matter (PM) exposure is produced during most of the construction activities. The dataset was acquired from an experimental investigation by monitoring PM10, PM2.5, and PM1 concentration produced while building a solid concrete block wall. Alphasense OPC-N2 sensors and Sharp GP2Y1010 sensors were collocated in each of the monitoring stations (MS) to measure the PM concentration. The data was collected at 2 s time interval during the entire 40 min of the activity. The data can be utilized for study PM produced and propagated from construction. Furthermore, the dataset can be used to improve the awareness of the construction professionals about the PM production and exposure during the construction works and refine the current construction practices.
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Affiliation(s)
- Daniel Cheriyan
- Dept. of Civil Engineering, Dong-A University, 550Bungil 37, Nakdong-Daero, Saha-Gu, Busan, 49315 South Korea
| | - Jae-ho Choi
- Dept. of Civil Engineering, Dong-A University, 550Bungil 37, Nakdong-Daero, Saha-Gu, Busan, 49315 South Korea
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