TY - JOUR ID - 51875 TI - Long-term spatial and temporal variability of ambient carbon monoxide in Urmia, Iran JO - Journal of Advances in Environmental Health Research JA - JAEHR LA - en SN - 2676-3478 AU - Aghdasi, Hamed AU - Aali, Rahim AU - Mansouri, Nabiollah AU - Amini, Heresh AD - Graduate School of the Environment and Energy, Science and Research Branch, IAU, Tehran, Iran AD - Department of Environmental Health Engineering, Health Technology Incubator Centre, School of Health, Urmia University of Medical Sciences, Urmia, Iran AD - Department of HSE Management, Graduate School of the Environment and Energy, Science and Research Branch, IAU, Tehran, Iran AD - Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland & University of Basel, Basel, Switzerland Y1 - 2017 PY - 2017 VL - 5 IS - 2 SP - 78 EP - 84 KW - Air pollution KW - carbon monoxide variability KW - intra-urban KW - Iran KW - long-term KW - Urmia KW - Spatial DO - 10.22102/jaehr.2017.90610.1027 N2 - One of the pillars of epidemiologic research on the long-term health effects of air pollution is to estimate the chronic exposures over space and time. In this study, we aimed to measure the intra-urban ambient carbon monoxide (CO) concentrations within Urmia city in Iran, and to build a model within the geographic information system (GIS) to estimate the annual and seasonal means anywhere within the city. We collected more than 5,000 measurements from 53 locations during July 2010 to July 2011 in four seasons to calculate the annual and seasonal means in Urmia. The Universal Kriging was used to predict the spatial and seasonal concentrations of CO. The annual mean and annual peak CO concentrations were respectively 2.5 and 4.4 ppm. The results of the spatial analysis showed that the north-eastern parts of the city were more polluted than the other areas. The mean and peak seasonal spatial patterns were consistent over time. This is the first study that monitored and predicted the long-term CO concentrations with a dense measurement network in Urmia, providing a foundation for future epidemiological studies on the health effects of air pollution. The spatial estimates can also be used for a variety of other purposes, such as evidence-based air quality management and urban planning. Overall, the CO levels in Urmia were lower than the values recommended by the World Health Organization. However, further research is required on other important pollutants, such as particulate matter, nitrogen dioxide, air toxics and so forth. UR - https://jaehr.muk.ac.ir/article_51875.html L1 - https://jaehr.muk.ac.ir/article_51875_7acd2ab2495702bf24433eee87890f26.pdf ER -