Effect of Different Pollution Parameters and Chemical Components of PM 2.5 on Health of Residents of Xinxiang City, China

Shuang Wang, Mandeep Kaur, Tengfei Li and Feng Pan
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Shuang Wang: School of Environment, Henan Normal University, Xinxiang 453007, China
Mandeep Kaur: Henan Key Laboratory of Earth System Science Observation and Modeling, Henan University, Jinming Campus, Kaifeng 475004, China
Tengfei Li: Henan Key Laboratory of Earth System Science Observation and Modeling, Henan University, Jinming Campus, Kaifeng 475004, China
Feng Pan: School of Environment, Henan Normal University, Xinxiang 453007, China

IJERPH, 2021, vol. 18, issue 13, 1-20

Abstract: The present study was planned to explore the pollution characteristics, health risks, and influence of atmospheric fine particulate matter (PM 2.5 ) and its components on blood routine parameters in a typical industrial city (Xinxiang City) in China. In this study, 102 effective samples 28 (April–May), 19 (July–August), 27 (September–October), 28 (December–January) of PM 2.5 were collected during different seasons from 2017 to 2018. The water-soluble ions and metal elements in PM 2.5 were analyzed via ion chromatography and inductively coupled plasma–mass spectrometry. The blood routine physical examination parameters under different polluted weather conditions from January to December 2017 and 2018, the corresponding PM 2.5 concentration, temperature, and relative humidity during the same period were collected from Second People’s Hospital of Xinxiang during 2017–2018. Risk assessment was carried out using the generalized additive time series model (GAM). It was used to analyze the influence of PM 2.5 concentration and its components on blood routine indicators of the physical examination population. The “mgcv” package in R.3.5.3 statistical software was used for modeling and analysis and used to perform nonparametric smoothing on meteorological indicators such as temperature and humidity. When Akaike’s information criterion (AIC) value is the smallest, the goodness of fit of the model is the highest. Additionally, the US EPA exposure model was used to evaluate the health risks caused by different heavy metals in PM 2.5 to the human body through the respiratory pathway, including carcinogenic risk and non-carcinogenic risk. The result showed that the air particulate matter and its chemical components in Xinxiang City were higher in winter as compared to other seasons with an overall trend of winter > spring > autumn > summer. The content of nitrate (NO 3 ? ) and sulfate (SO 4 2 ? ) ions in the atmosphere were higher in winter, which, together with ammonium, constitute the main components of water-soluble ions in PM 2.5 in Xinxiang City. Source analysis reported that mobile pollution sources (coal combustion emissions, automobile exhaust emissions, and industrial emissions) in Xinxiang City during the winter season contributed more to atmospheric pollution as compared to fixed sources. The results of the risk assessment showed that the non-carcinogenic health risk of heavy metals in fine particulate matter is acceptable to the human body, while among the carcinogenic elements, the order of lifetime carcinogenic risk is arsenic (As) > chromium(Cr) > cadmium (Cd) > cobalt(Co) > nickel (Ni). During periods of haze pollution, the exposure concentration of PM 2.5 has a certain lag effect on blood routine parameters. On the day when haze pollution occurs, when the daily average concentration of PM 2.5 rises by 10 ?g·m ?3 , hemoglobin (HGB) and platelet count (PLT) increase, respectively, by 9.923% (95% CI, 8.741–11.264) and 0.068% (95% CI, 0.067–0.069). GAM model analysis predicted the maximum effect of PM 2.5 exposure concentration on red blood cell count (RBC) and PLT was reached when the hysteresis accumulates for 1d (Lag0). The maximum effect of exposure concentration ofPM 2.5 on MONO is reached when the lag accumulation is 3d (Lag2). When the hysteresis accumulates for 6d (Lag5), the exposure concentration of PM 2.5 has the greatest effect on HGB. The maximum cumulative effect of PM 2.5 on neutrophil count (NEUT) and lymphocyte (LMY) was strongest when the lag was 2d (Lag1). During periods of moderate to severe pollution, the concentration of water-soluble ions and heavy metal elements in PM 2.5 increases significantly and has a significant correlation with some blood routine indicators.

Keywords: air pollution; PM 2.5; water-soluble ions; blood routine parameters; urban air quality; heavy metal (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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