Научная статья на тему 'The risk to the health of the population exposed to the influence of the road-car complex'

The risk to the health of the population exposed to the influence of the road-car complex Текст научной статьи по специальности «Медицинские технологии»

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Ключевые слова
RISK ASSESSMENT / ROAD TRANSPORT / AIR POLLUTION / PUBLIC HEALTH / LIFE EXPECTANCY

Аннотация научной статьи по медицинским технологиям, автор научной работы — Levanchuk Alexander V., Kopytenkova Olga I.

Growth of vehicle-to-population ratio is accompanied by environmental pollutants growth. This paper deals with health risk indicators of gaseous and dust components in environment result from vehicles operation. A quantitative assessment of road-cars operation impact at different levels of air pollution. is provided. Value of public health risk indicator at different values of air pollution caused by road-cars operation was determined. Dependence of public health risk on distance from the roads with different traffic intensity was determined. Growth of vehicle-to-population ratio resulted in high level of air pollution formation in megalopolises, caused by fuel combustion; road surface destruction and accumulation of braking system and tires wastes. Solid particles in atmospheric air samples by 70 % consists of aluminosilicates, which provide fibrogenic effect, contains heavy metal and substances with a pronounced carcinogenic effect (Benz-(a)-pyrene, dibenz-(a, h)-anthracene, Benz-(B)-fluoranthene and chrysene). It was shown that non-carcinogenic risk caused by vehicle emissions in case of traffic intensity constituting 2500-3000 cars per hour for population up to 30 years old was determined as negligible; up to 40 years as moderate, at the age of 50 years as high and for the age over 53 years as very high. Respiratory and cardiovascular systems were determined as the most susceptive. Dependence of the risk level on distance from the road is determined.

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Текст научной работы на тему «The risk to the health of the population exposed to the influence of the road-car complex»

2019

ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА МЕДИЦИНА

Т. 14. Вып. 1

PREVENTIVE MEDICINE

UDC 818-02:614.78

The risk to the health of the population exposed to the influence of the road-car complex

A. V. Levanchuk1, O. I. Kopytenkova2

1 Northwestern State Medical University named after I. I. Mechnikov, Russian Federation Ministry of Healthcare,

47, Piskarevsky prosp., St. Petersburg, 195067, Russian Federation,

2 St. Petersburg State University,

7-9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation

For citation: Levanchuk A. V., Kopytenkova O. I. The risk to the health of the population exposed to the influence of the road-car complex. Vestnik of Saint Petersburg University. Medicine, 2019, vol. 14, issue 1, pp. 69-74. https://doi.org/10.21638/11701/spbu10.2019.108

Growth of vehicle-to-population ratio is accompanied by environmental pollutants growth. This paper deals with health risk indicators of gaseous and dust components in environment result from vehicles operation. A quantitative assessment of road-cars operation impact at different levels of air pollution. is provided. Value of public health risk indicator at different values of air pollution caused by road-cars operation was determined. Dependence of public health risk on distance from the roads with different traffic intensity was determined. Growth of vehicle-to-population ratio resulted in high level of air pollution formation in megalopolises, caused by fuel combustion; road surface destruction and accumulation of braking system and tires wastes. Solid particles in atmospheric air samples by 70 % consists of aluminosilicates, which provide fibrogenic effect, contains heavy metal and substances with a pronounced carcinogenic effect (Benz-(a)-pyrene, dibenz-(a, h)-anthracene, Benz-(B)-fluoranthene and chrysene). It was shown that non-carcinogenic risk caused by vehicle emissions in case of traffic intensity constituting 2500-3000 cars per hour for population up to 30 years old was determined as negligible; up to 40 years — as moderate, at the age of 50 years — as high and for the age over 53 years as very high. Respiratory and cardiovascular systems were determined as the most susceptive. Dependence of the risk level on distance from the road is determined.

Keywords: risk assessment, road transport, air pollution, public health, life expectancy. Introduction

Road transport has become the main source of air pollution in major cities. The negative impact on the health of the population of air pollutants of residential areas due to

© Санкт-Петербургский государственный университет, 2019

https://doi.org/10.21638/11701/spbu10.2019.108

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emissions of vehicles has not been fully studied, due to their multicomponent, as well as the extreme complexity of the organization of research in a metropolis. The only real possibility for obtaining quantitative characteristics of the potential threat is the use of methods for assessing and analyzing the risk to public health [1; 2; 8; 12-16; 17].

This study is aimed at assessing the level of air pollution (AB) and a comparative analysis of the risk to health of the population living in the zone of influence of chemical air pollutants at different distances from the DAC with different intensity of road transport.

Methods

Quantitative assessment of contamination of AV when operating the DAC of varying intensity. The following methods were used: chromatographic method for determination of organic compounds; atomic absorption method for determination of heavy metal compounds in the composition of solid dust particles; dust analyzer model 8520 for determination of PM10 and PM2.5 in the range of 0.001-100 mg/m3. Air sampling was carried out continuously for 8-12 hours. The study was conducted in the period 2009-2013 (796 air samples, 3077 samples).

Assessment of health risk conducted in accordance with the guidance "Guidance on risk assessment for public health when exposed to chemical pollutants environment" (P 2.1.10.1920-04) [3] for the population residing on territories in the zone of influence DAK with the intensity of traffic flow 2500 cars/hour. As an control of the territory adopted in the territory in the zone of influence DAK with intensity of movement of transport streams 1000 cars/hour. The indicators of carcinogenic and non-carcinogenic risk were determined. Additionally, for risk assessment used guidelines 2.1.10.0062 — 12 "quantifying non-cancer risk from exposure to chemicals on the basis of evolutionary models" [4].

Study Design

On the basis of full-scale study determined the intensity of traffic flows in the selected study areas of the city. We took into account the composition of vehicles, the main categories of vehicles (trucks, buses, cars), engine type. Sections of highways in residential areas are grouped taking into account the intensity of traffic flows in the daytime: up to 500 cars per hour (7 sections); 1500-2000 cars per hour (8 sections); 2500-3000 cars per hour (7 sections). In the areas of influence of DAC with different intensity of traffic flows conducted full-scale studies of atmospheric air accredited laboratory.

The identified characteristics of the level of air pollution allowed to form a database to identify the connection in the system "DAC-air pollution-risk to public health".

At the final stage, we determined the value of the indicator of risk to public health at different intensity of air pollution by the products of operation of the DAC. The dependence of the risk to public health on the distance to roads with different traffic intensity was established.

Sensitivity Analysis

Metrological characteristics were evaluated during the certification of the methods used [5; 6; 7].

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Results

The results of field studies conducted in residential areas of the city, in areas along the roads with different intensity of traffic flows (TP) allowed to establish the following. On the site with an intensity of 2500-3000 TP cars/hour revealed the most unfavorable situation. The maximum single concentration reached 3.3 maximum permissible concentration (MPC) for carbon monoxide, 8.2 MPC for nitrogen dioxide. In the area of TP 15002000 cars/hour they reached 3.1 MPC for carbon monoxide and 4.5 MPC for nitrogen dioxide per hour. In the TP area less than 500 cars/hour of carbon monoxide-2.9 MPC, nitrogen dioxide-2.2 MPC.

Contamination of AB along the roads with fine dust particles occurs as a result of primary dust formation — combustion of fuel components and abrasive processes of DAC, as well as secondary dust formation (resuspending dust particles). In the study of samples air of residential areas on the content of TSP at different distances from the roadway with traffic intensity of 2000-2500 watts./hour at the edge of the road was determined 2.83 ± 0.51 mg/m3; at a distance of 10 m-1.04 ± 0.12 mg/m3; at a distance of 20 m — 0.68 ± 0.15 mg/m3; at a distance of 30 m — 0.61 ± 0.10 mg/m3; at a distance of 50 m — 0.48 ± 0.09 mg/m3; at a distance of 60 m — 0.42 ± 0.09 mg/m3. The content of solid dust particles of different dispersion in samples AB at a distance of up to 10 m from the roadway is presented in Table 1.

According to the chemical analysis of TSP samples in AB on 70 % are aluminosilicates and are in the state of microscopic particles. It was found that the average concentrations of Zinc, Iron, Cobalt, Lead, Chromium, Nickel, Exceed hygienic standards with traffic intensity of more than 1500 cars/hour (Table 2).

Differences between indicators of the content of all studied metals in samples of AB along the highway with intensity of TP to 500 cars/hour, 1500-2000 cars/hour and 25003000 cars/hour are statistically significant (p < 0.05, f = 13 and f = 12, respectively).

Currently, there is an increase in environmental pollution by such super-toxic compounds as polycyclic aromatic hydrocarbons (PAHs). The main source of PAH in the area of the road network is emissions from road transport. Chromatographic study of atmospheric air samples in the residential area at the border of the highway with the intensity of TP 2500-3000 cars/hour identified 86 organic compounds, 34 of which are cumulative and have not been previously accounted for.

In the surface layer of the atmosphere clearly manifested dimethylnaphthalenes. Additionally, the following substances have been identified: Benz(a)anthracene, Benz(a)pyr-

Table 1. Content of solid dust particles in atmospheric air samples in residential areas with traffic flows of different intensity (mg / m3), M±m

Dust particles MPC , mg/m3 Exceeding the maximum permissible concentration (MPC) at traffic intensity (cars/hour) M±m

<500 (n = 112) 1500 - 2000(n = 128) 2500 - 3000 (n = 112)

TSP 0,5 0,61±0,13 2,1±0,54* t = 2,68 2,86±0,63* t = 3,50

PM10 0,30 0,39±0,09 1,49±0,36* t = 2,98 1,98±0,45* t = 3,46

PM2,5 0,16 0,15±0,04 0,51±0,11* t = 3,08 0,91±0,16* t = 4,61

* — Differences are statistically significant P < 0.05

Вестник CM6rY MeduHUHa. 2019. T. 14. Bun. 1 71

Table 2. Content of metal compounds in atmospheric air samples along roads with different vehicle

traffic intensity (mg/m3)

Substance MPC , Mr/M3 Exceeding the maximum permissible concentration (MPC) at traffic intensity (cars/hour) M±m

<500 (n = 63) 1500-2000(n=96) 2500-3000(n = 63)

Cu 0,002 0,16±0,04 0,75±0,02* 0,92±0,05*

Pb 0,0003 0,47±0,01 1,29±0,24* 1,84±0,27*

Cd 0,0003 < < 0,02±0,003

Ni 0,001 0,01±0,002 1,02±0,14* 1,6±0,31*

Cr 0,0015 0,18±0,03 1,10±0,09* 1,14±0,095*

Co 0,0004 0,24±0,05 1,50±0,34* 1,83±0,39*

Zi 0,05 0,94±0,11 3,6±0,86* 4,65±0,94*

Fe 0,04 0,52±0,06 3,5±0,47* 4,26±0,52*

* — Differences are statistically significant P < 0.05

The distace from the source 1 uu

Diagram. Carcinogenic risk in different parts of the residential area in the area of influence of the DAC with different intensity of traffic flows

ene, Benz(e)pyrene, Benz (B) fluoranthene, Benz (k) fluoranthene, Benz (ghi) perylene, dibenz (a, h) anthracene, coronene, pyrene, chrysene. Of the identified substances, four (Benz (a) pyrene, dibenz (a, h) anthracene, Benz (b) fluoranthene and chrysene have a pronounced carcinogenic effect.

Discussion

It is established that the value of the indicators of carcinogenic risk in the zone of influence DAK with the intensity of the traffic flow 1000 cars/hour are mainly at the level

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of 10-4-10-5, typical for most major cities [9-11; 18]. At the same time, the values of carcinogenic risk indicators in the zone with traffic intensity of 2500 cars/hour and above are at 10-2, which characterizes carcinogenic risk as "above acceptable". In international practice, this indicator corresponds to the quantitative criterion under which risk reduction measures should be implemented.

The leading place among carcinogens is occupied by chromium and formaldehyde, followed by heavy metal compounds (Lead, Cobalt, Nickel and Cadmium).

Heavy metal compounds and formaldehyde also contribute to the total non-carcinogenic risk index. Calculations have shown that the level of risk in the area with the intensity of TP 1000 cars/hour is estimated as "average". In the area with intensity TP 2500 cars/hour — as "extremely high". The main systems of non-carcinogenic risk are the respiratory and immune. In risk assessment using evolutionary models, it was found that the risk of health loss due to cardiovascular disease (CCC) due to chemical contamination of AB in areas with a TP intensity of less than 500 cars/hour is negligible and is less than 1.00 E-04 by age 73. The magnitude of the risk of health loss due to the pathology of the respiratory system throughout life in the area of DAC with an intensity of TP 2500-3000 cars/hour is 0.78 and almost 3 times higher than the risk of loss of health due to CCC pathology (0.26). The generalized risk before the age of 30 is negligible, at the age of 40 years as moderate, at the age of 50 years as high, for the age over 53 years as "very high". In addition, a reduction in life expectancy by 8.2 years (to 64.8 years, compared with the estimated life expectancy of 73 years) was revealed.

Conclusion

The results of the study of atmospheric air in the area of influence of the DAC allowed to establish that the process of operation of cars leads to environmental pollution TSP which includes heavy metal compounds and polycyclic aromatic hydrocarbons. The intensity of pollution depends on the intensity of traffic flow on the road network.

The population living in the area affected by roads with heavy traffic has a risk of loss of health due to the pathology of the respiratory, cardiovascular systems, as well as carcinogenic pathology as a result of the influence of chemical air pollutants.

The life expectancy of the population living under the influence in the area of DAK with the intensity of traffic 2500-3000 cars/hour, will be 64.8 years, i.e. 8.2 years less, compared with the exposure at a traffic intensity of less than 500 cars/hour.

Acknowledgment

This work was done in Northwestern state medical University them. I. I. Mechnikov of Ministry of healthcare of the Russian Federation.

References

1. Risk Assessment Forum. U. S. Environmental Protection Agency. Guidelines for Exposure Assessment.

Washington, DC, 1992, pp. 178-233.

2. Rakhmanin Yu. A., Novikov S. M., Shashina T. A. Modern trends in risk assessment methodology.

Gigiena i sanitariia, Moscow, 2007, pp. 3-8. (In Russian)

3. Methodical recommendations of Mr 2.1.10.0062-12 Quantitative assessment of non-carcinogenic

risk under the influence of chemicals based on the construction of evolutionary models. Federal'naia

BecmnuK Cn6ry. Meduuuna. 2019. T. 14. Bun. 1

73

sluzhba po nadzoru v sfere zashchity prav potrebitelei i blagopoluchiia cheloveka 2012. Moscow, 2012. 36 p. (In Russian)

4. Methodical recommendations of Mr 2.1.10.0059-12 Assessment of public health risk from exposure to transport noise. Federal'naia sluzhba po nadzoru v sferezashchity prav potrebitelei i blagopoluchiia cheloveka. Moscow, 2011. 40 p. (In Russian)

5. GOST R ISO 5725-2002 Accuracy (correctness) of methods and measurements. Moscow, IPK Izdatel'stvo standartov, 2002. 21 p. (In Russian)

6. Kadisa R. L., Nezhihovskogo G. R., Simina V. B., Konopel'ko L. A. Quantifying Uncertainty in Analytical Measurements. EVRAHIM/SITAK. St. Petersburg, 2002. 141 p. (In Russian)

7. Kopytenkova O. I., Levanchuk A. V., Mingulova I. R. Hygienic characteristic of chemical pollution of the environment in the use of transport-road complex. Profilakticheskaia i klinicheskaia meditsina. 2012, no. 3, pp. 87-92. (In Russian)

8. Polichetti G., Cocco S., Spinali A., Trimarco V., Nunziata A. Effects of particulate matter (PM 10, PM 2.5 and PM 1) on the cardiovascular system. Toxicology, 2009, vol. 261, no. 1-2, pp. 1-8.

9. Künzli N., Kaiser R., Medina S., Studnicka M., Chanel O. Public-health impact of outdoor and traffic-related air pollution: a European assessment. The Lancet, 2000, vol. 356, no. 9232, pp. 795-801.

10. Wang W., Yu T., Ciren P., Jiang P. Assessment of human health impact from PM 10 exposure in China based on satellite observations. Journal of Applied Remote Sensing, 2015, vol. 9, no. 1, pp. 151-159.

11. Berico M., Luciani A., Formignani M. Atmospheric aerosol in an urban area — measurements of TSP and PM 10 standards and pulmonary deposition assessments. Atmospheric Environment, 1997, vol. 31, no. 21, pp. 3659-3665.

12. Zhang X.-X., Chen X., Wang Z.-F., Guo Y.-H., Li J., Chen H.-S., Yang W.-Y., Sharratt B., Liu L.-Y. Dust deposition and ambient PM 10 concentration in Northwest China: spatial and temporal variability. Atmospheric Chemistry and Physics, 2017, vol. 17, no. 3, pp. 1699-1711.

13. Soriano A., Pallarás S., Vicente A. B., Sanfeliu T., Jordán M. M. Assessment of the main sources of PM 10 in an industrialized area situated in a Mediterranean Basin. Fresenius Environmental Bulletin, 2011, vol. 20, no. 9, pp. 2379-2390.

14. Bernardoni V., Vecchi R., Valli G., Piazzalunga A., Fermo P. PM 10 Source apportionment in Milan (Italy) using time-resolved data. The Science of the Total Environment, 2011, vol. 409, no. 22, pp. 47884795.

15. Lim J.-M., Moon J.-H., Chung Y.-S., Lee J.-H., Kim K.-H. Airborne PM 10 and metals from multifarious sources in an industrial complex area. Atmospheric Research, 2010, vol. 96, no. 1, pp. 53-64.

16. Strelyaeva A. B., Barikaeva N. S., Kalyuzhina E. A., Nikolenko D. A. The analysis of the sources of atmospheric air pollution by fine dust. Internet-vestnik VolgGASU. Seriia: Politematicheskaia, 2014, no. 3 (34). Available at: http://vestnik.vgasu.ru/?source=4&articleno=1715] (accessed: 17.07.2017). (In Russian)

17. Maj I. V., Zagorodnov S. Yu., Maks A. A., Zagorodnov M. Yu. Assessment of potential air pollution by fine particles in the area of machine-building enterprise location. Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Urbanistika, 2012, no. 2, pp. 109-118. (In Russian)

18. Strelyaeva A. B., Lavrent'eva L. M., Lupinogin V. V., Gvozdkov I. A. Investigation of pollution in the residential area located near the industrial enterprise by RM 10 and RM 2.5 particles. Inzhenernyi Vestnik Dona, 2017, vol. 45, no. 2, pp. 154-156. (In Russian)

19. Prosviryakova I. A. Methodological approaches to estimation of fine particles in atmospheric air. Zdorov'e i okruzhaiushchaia sreda, 2015, vol. 25, pp. 85-87. (In Russian)

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20. Mironenko O. V., Kopytenkova O. I., Levanchuk A. V., Magomedov H. K. Hygienic evaluation of the effect of methane coming out of the body of the polygon for storage of sewage sludge, on the condition of the air basin. Vestnik of Saint Petersburg University. Medicina, 2018, vol. 13, no. 3, pp. 316-324.

Received: October 19, 2018 Accepted: December 3, 2018

Author's information:

Alexander V. Levanchuk — MD, Assoc. Prof.; [email protected] Olga I. Kopytenkova — MD, Prof.; [email protected]

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