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Assessing Short-Term Productivity Losses Due to PM2.5 Exposure among Industrial Workers in Asaluyeh, Iran | ||
| Pollution | ||
| دوره 12، شماره 1، فروردین 2026، صفحه 403-419 اصل مقاله (1.11 M) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/poll.2025.401733.3098 | ||
| نویسندگان | ||
| Fatemeh Sadat Alavipoor1؛ Saeed Karimi* 1؛ Hamidreza Jafari1؛ Mohammad Sadegh Hassanvand2، 3؛ Mahdi Tanha Ziyarati4 | ||
| 1University of Tehran, Graduate Faculty of Environment, University of Tehran, P.O.Box 14155-6135, Tehran, Iran | ||
| 2Tehran University of Medical Sciences, School of Public Health, Department of Environmental Health Engineering, Tehran, Iran | ||
| 3Center for air pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran | ||
| 4Department of health, safety and environment, Ferdous Rahjoyan Danesh Higher, Iran | ||
| چکیده | ||
| This investigation examines the effect of short-term exposure to fine particulate matter (PM2.5) on productivity of workers in the industrial city of Asaluyeh, Iran, with an objective to help develop better air quality control action plans. Because the immediate effects of PM2.5 on the workers in an industrial setting are poorly understood, we collected PM2.5 counts at each of the 6 monitors in 2018 and calculated the lost workdays using log-linear health models. We then isolated the spatial data using Kriging Interpolation and fuzzy logic models (FDEMATEL and FDANP) and consequently generated risk maps in six different areas. We estimated the economic burden by multiplying daily productivity (based on the average wage) with healthcare costs associated with respiratory health. Every 10 µg/m³ increase in the annual mean concentration of PM2.5 was associated with a 75% increase in workdays lost in Chah Mobarak (relative risk [RR] = 1.75, 95% confidence interval [CI]: 1.6–1.9) and a 61% increase in Shirino (RR = 1.61, 95% CI: 1.5–1.73). Hara and Phases 6, 7 and 8 had no significant effect on workdays lost (RR = 1.0). For the spatial model, we assessed areas identified as very high-risk, which covered a land use footprint of 3,072.96 hectares and legitimate risk variables that were primarily caused by closeness to emission sources. Economic losses equaled $889,200 in productivity losses and $983.76 in health care costs per 10 µg/m³ increase in Chah Mobarak, and the indirect losses we assigned for examples - reductions in industrial output - were $20 million. These results show the potential effects PM2.5 has on economic issues and health issues in industry served. We suggest specific emission controls that could be fairly easy and inexpensive to implement such as filter systems and live air quality monitoring to improve productive capacity and health of workers. | ||
| کلیدواژهها | ||
| PM2.5 exposure؛ Workforce productivity؛ Occupational health؛ Economic impact؛ Industrial pollution | ||
| مراجع | ||
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