Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018

Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitro...
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Gespeichert in:

Autor*in:	Mohammad Noorisepehr [verfasserIn] Mehdi Vosoughi [verfasserIn] Afsane Chavoshani [verfasserIn] Zahra Eskandari [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	air pollution air quality index karaj temporal changes

Übergeordnetes Werk:	In: International Journal of Environmental Health Engineering - Wolters Kluwer Medknow Publications, 2017, 12(2023), 1, Seite 14-14
Übergeordnetes Werk:	volume:12 ; year:2023 ; number:1 ; pages:14-14

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.4103/ijehe.ijehe_40_21

Katalog-ID:	DOAJ092447627

Internformat


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650		4	\|a air pollution
650		4	\|a air quality index
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650		4	\|a temporal changes
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700	0		\|a Afsane Chavoshani \|e verfasserin \|4 aut
700	0		\|a Zahra Eskandari \|e verfasserin \|4 aut
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allfields	10.4103/ijehe.ijehe_40_21 doi (DE-627)DOAJ092447627 (DE-599)DOAJ9173fc0274b64512a2c78d3cc9271469 DE-627 ger DE-627 rakwb eng TD1-1066 TA170-171 GE1-350 Mohammad Noorisepehr verfasserin aut Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) recorded at four monitoring stations across Karaj city, Iran, to investigate the air pollutant trends based on air quality indexes (AQIs) in the city during 2012–2018. Materials and Methods: The correlations between PMs and gaseous pollutants were analyzed using the Pearson correlation coefficient. The concentrations of air pollutants indexes including O3, NO2, SO2, CO, PM10, and PM2.5 were recorded in four air pollution monitoring stations in Karaj obtained from the monitoring system of the environment department. Then, the data were analyzed using SPSS and Graph pad softwares. Results: The findings showed that in 20%–40% and 1%–5% of days during 2012–2018, higher concentrations of PM2.5 and PM10 were experienced than the national standard (NS) concentration, respectively. Furthermore, during this time, 0.3%–0.9% of days indicated the higher concentrations of CO and SO2 than the NS, respectively. Although the daily concentration of NO2 was lower than NS, 0.5%–5% of days were exposed to the higher concentration of O3 than NS. SO2 concentration showed a negative and positive correlation with PM10 (r = −0.69, P = 0.013) and O3(r = 0.58, P = 0.03), respectively. Conclusion: These results indicated that Karaj AQI was moderate and the most problem with air quality in Karaj city was attributed to the PM2.5 concentrations. To reduce health disorders related to this pollutant, it is necessary to control PM2.5 sources and sensitive groups should reduce outdoor activities. air pollution air quality index karaj temporal changes Environmental technology. Sanitary engineering Environmental engineering Environmental sciences Mehdi Vosoughi verfasserin aut Afsane Chavoshani verfasserin aut Zahra Eskandari verfasserin aut In International Journal of Environmental Health Engineering Wolters Kluwer Medknow Publications, 2017 12(2023), 1, Seite 14-14 (DE-627)768579430 (DE-600)2734156-2 22779183 nnns volume:12 year:2023 number:1 pages:14-14 https://doi.org/10.4103/ijehe.ijehe_40_21 kostenfrei https://doaj.org/article/9173fc0274b64512a2c78d3cc9271469 kostenfrei http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=14;epage=14;aulast=Noorisepehr kostenfrei https://doaj.org/toc/2277-9183 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1 14-14
spelling	10.4103/ijehe.ijehe_40_21 doi (DE-627)DOAJ092447627 (DE-599)DOAJ9173fc0274b64512a2c78d3cc9271469 DE-627 ger DE-627 rakwb eng TD1-1066 TA170-171 GE1-350 Mohammad Noorisepehr verfasserin aut Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) recorded at four monitoring stations across Karaj city, Iran, to investigate the air pollutant trends based on air quality indexes (AQIs) in the city during 2012–2018. Materials and Methods: The correlations between PMs and gaseous pollutants were analyzed using the Pearson correlation coefficient. The concentrations of air pollutants indexes including O3, NO2, SO2, CO, PM10, and PM2.5 were recorded in four air pollution monitoring stations in Karaj obtained from the monitoring system of the environment department. Then, the data were analyzed using SPSS and Graph pad softwares. Results: The findings showed that in 20%–40% and 1%–5% of days during 2012–2018, higher concentrations of PM2.5 and PM10 were experienced than the national standard (NS) concentration, respectively. Furthermore, during this time, 0.3%–0.9% of days indicated the higher concentrations of CO and SO2 than the NS, respectively. Although the daily concentration of NO2 was lower than NS, 0.5%–5% of days were exposed to the higher concentration of O3 than NS. SO2 concentration showed a negative and positive correlation with PM10 (r = −0.69, P = 0.013) and O3(r = 0.58, P = 0.03), respectively. Conclusion: These results indicated that Karaj AQI was moderate and the most problem with air quality in Karaj city was attributed to the PM2.5 concentrations. To reduce health disorders related to this pollutant, it is necessary to control PM2.5 sources and sensitive groups should reduce outdoor activities. air pollution air quality index karaj temporal changes Environmental technology. Sanitary engineering Environmental engineering Environmental sciences Mehdi Vosoughi verfasserin aut Afsane Chavoshani verfasserin aut Zahra Eskandari verfasserin aut In International Journal of Environmental Health Engineering Wolters Kluwer Medknow Publications, 2017 12(2023), 1, Seite 14-14 (DE-627)768579430 (DE-600)2734156-2 22779183 nnns volume:12 year:2023 number:1 pages:14-14 https://doi.org/10.4103/ijehe.ijehe_40_21 kostenfrei https://doaj.org/article/9173fc0274b64512a2c78d3cc9271469 kostenfrei http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=14;epage=14;aulast=Noorisepehr kostenfrei https://doaj.org/toc/2277-9183 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1 14-14
allfields_unstemmed	10.4103/ijehe.ijehe_40_21 doi (DE-627)DOAJ092447627 (DE-599)DOAJ9173fc0274b64512a2c78d3cc9271469 DE-627 ger DE-627 rakwb eng TD1-1066 TA170-171 GE1-350 Mohammad Noorisepehr verfasserin aut Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) recorded at four monitoring stations across Karaj city, Iran, to investigate the air pollutant trends based on air quality indexes (AQIs) in the city during 2012–2018. Materials and Methods: The correlations between PMs and gaseous pollutants were analyzed using the Pearson correlation coefficient. The concentrations of air pollutants indexes including O3, NO2, SO2, CO, PM10, and PM2.5 were recorded in four air pollution monitoring stations in Karaj obtained from the monitoring system of the environment department. Then, the data were analyzed using SPSS and Graph pad softwares. Results: The findings showed that in 20%–40% and 1%–5% of days during 2012–2018, higher concentrations of PM2.5 and PM10 were experienced than the national standard (NS) concentration, respectively. Furthermore, during this time, 0.3%–0.9% of days indicated the higher concentrations of CO and SO2 than the NS, respectively. Although the daily concentration of NO2 was lower than NS, 0.5%–5% of days were exposed to the higher concentration of O3 than NS. SO2 concentration showed a negative and positive correlation with PM10 (r = −0.69, P = 0.013) and O3(r = 0.58, P = 0.03), respectively. Conclusion: These results indicated that Karaj AQI was moderate and the most problem with air quality in Karaj city was attributed to the PM2.5 concentrations. To reduce health disorders related to this pollutant, it is necessary to control PM2.5 sources and sensitive groups should reduce outdoor activities. air pollution air quality index karaj temporal changes Environmental technology. Sanitary engineering Environmental engineering Environmental sciences Mehdi Vosoughi verfasserin aut Afsane Chavoshani verfasserin aut Zahra Eskandari verfasserin aut In International Journal of Environmental Health Engineering Wolters Kluwer Medknow Publications, 2017 12(2023), 1, Seite 14-14 (DE-627)768579430 (DE-600)2734156-2 22779183 nnns volume:12 year:2023 number:1 pages:14-14 https://doi.org/10.4103/ijehe.ijehe_40_21 kostenfrei https://doaj.org/article/9173fc0274b64512a2c78d3cc9271469 kostenfrei http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=14;epage=14;aulast=Noorisepehr kostenfrei https://doaj.org/toc/2277-9183 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1 14-14
allfieldsGer	10.4103/ijehe.ijehe_40_21 doi (DE-627)DOAJ092447627 (DE-599)DOAJ9173fc0274b64512a2c78d3cc9271469 DE-627 ger DE-627 rakwb eng TD1-1066 TA170-171 GE1-350 Mohammad Noorisepehr verfasserin aut Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) recorded at four monitoring stations across Karaj city, Iran, to investigate the air pollutant trends based on air quality indexes (AQIs) in the city during 2012–2018. Materials and Methods: The correlations between PMs and gaseous pollutants were analyzed using the Pearson correlation coefficient. The concentrations of air pollutants indexes including O3, NO2, SO2, CO, PM10, and PM2.5 were recorded in four air pollution monitoring stations in Karaj obtained from the monitoring system of the environment department. Then, the data were analyzed using SPSS and Graph pad softwares. Results: The findings showed that in 20%–40% and 1%–5% of days during 2012–2018, higher concentrations of PM2.5 and PM10 were experienced than the national standard (NS) concentration, respectively. Furthermore, during this time, 0.3%–0.9% of days indicated the higher concentrations of CO and SO2 than the NS, respectively. Although the daily concentration of NO2 was lower than NS, 0.5%–5% of days were exposed to the higher concentration of O3 than NS. SO2 concentration showed a negative and positive correlation with PM10 (r = −0.69, P = 0.013) and O3(r = 0.58, P = 0.03), respectively. Conclusion: These results indicated that Karaj AQI was moderate and the most problem with air quality in Karaj city was attributed to the PM2.5 concentrations. To reduce health disorders related to this pollutant, it is necessary to control PM2.5 sources and sensitive groups should reduce outdoor activities. air pollution air quality index karaj temporal changes Environmental technology. Sanitary engineering Environmental engineering Environmental sciences Mehdi Vosoughi verfasserin aut Afsane Chavoshani verfasserin aut Zahra Eskandari verfasserin aut In International Journal of Environmental Health Engineering Wolters Kluwer Medknow Publications, 2017 12(2023), 1, Seite 14-14 (DE-627)768579430 (DE-600)2734156-2 22779183 nnns volume:12 year:2023 number:1 pages:14-14 https://doi.org/10.4103/ijehe.ijehe_40_21 kostenfrei https://doaj.org/article/9173fc0274b64512a2c78d3cc9271469 kostenfrei http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=14;epage=14;aulast=Noorisepehr kostenfrei https://doaj.org/toc/2277-9183 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1 14-14
allfieldsSound	10.4103/ijehe.ijehe_40_21 doi (DE-627)DOAJ092447627 (DE-599)DOAJ9173fc0274b64512a2c78d3cc9271469 DE-627 ger DE-627 rakwb eng TD1-1066 TA170-171 GE1-350 Mohammad Noorisepehr verfasserin aut Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) recorded at four monitoring stations across Karaj city, Iran, to investigate the air pollutant trends based on air quality indexes (AQIs) in the city during 2012–2018. Materials and Methods: The correlations between PMs and gaseous pollutants were analyzed using the Pearson correlation coefficient. The concentrations of air pollutants indexes including O3, NO2, SO2, CO, PM10, and PM2.5 were recorded in four air pollution monitoring stations in Karaj obtained from the monitoring system of the environment department. Then, the data were analyzed using SPSS and Graph pad softwares. Results: The findings showed that in 20%–40% and 1%–5% of days during 2012–2018, higher concentrations of PM2.5 and PM10 were experienced than the national standard (NS) concentration, respectively. Furthermore, during this time, 0.3%–0.9% of days indicated the higher concentrations of CO and SO2 than the NS, respectively. Although the daily concentration of NO2 was lower than NS, 0.5%–5% of days were exposed to the higher concentration of O3 than NS. SO2 concentration showed a negative and positive correlation with PM10 (r = −0.69, P = 0.013) and O3(r = 0.58, P = 0.03), respectively. Conclusion: These results indicated that Karaj AQI was moderate and the most problem with air quality in Karaj city was attributed to the PM2.5 concentrations. To reduce health disorders related to this pollutant, it is necessary to control PM2.5 sources and sensitive groups should reduce outdoor activities. air pollution air quality index karaj temporal changes Environmental technology. Sanitary engineering Environmental engineering Environmental sciences Mehdi Vosoughi verfasserin aut Afsane Chavoshani verfasserin aut Zahra Eskandari verfasserin aut In International Journal of Environmental Health Engineering Wolters Kluwer Medknow Publications, 2017 12(2023), 1, Seite 14-14 (DE-627)768579430 (DE-600)2734156-2 22779183 nnns volume:12 year:2023 number:1 pages:14-14 https://doi.org/10.4103/ijehe.ijehe_40_21 kostenfrei https://doaj.org/article/9173fc0274b64512a2c78d3cc9271469 kostenfrei http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=14;epage=14;aulast=Noorisepehr kostenfrei https://doaj.org/toc/2277-9183 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2023 1 14-14
language	English
source	In International Journal of Environmental Health Engineering 12(2023), 1, Seite 14-14 volume:12 year:2023 number:1 pages:14-14
sourceStr	In International Journal of Environmental Health Engineering 12(2023), 1, Seite 14-14 volume:12 year:2023 number:1 pages:14-14
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	air pollution air quality index karaj temporal changes Environmental technology. Sanitary engineering Environmental engineering Environmental sciences
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container_title	International Journal of Environmental Health Engineering
authorswithroles_txt_mv	Mohammad Noorisepehr @@aut@@ Mehdi Vosoughi @@aut@@ Afsane Chavoshani @@aut@@ Zahra Eskandari @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
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issn	22779183
topic_title	TD1-1066 TA170-171 GE1-350 Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018 air pollution air quality index karaj temporal changes
topic	misc TD1-1066 misc TA170-171 misc GE1-350 misc air pollution misc air quality index misc karaj misc temporal changes misc Environmental technology. Sanitary engineering misc Environmental engineering misc Environmental sciences
topic_unstemmed	misc TD1-1066 misc TA170-171 misc GE1-350 misc air pollution misc air quality index misc karaj misc temporal changes misc Environmental technology. Sanitary engineering misc Environmental engineering misc Environmental sciences
topic_browse	misc TD1-1066 misc TA170-171 misc GE1-350 misc air pollution misc air quality index misc karaj misc temporal changes misc Environmental technology. Sanitary engineering misc Environmental engineering misc Environmental sciences
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title	Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018
ctrlnum	(DE-627)DOAJ092447627 (DE-599)DOAJ9173fc0274b64512a2c78d3cc9271469
title_full	Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018
author_sort	Mohammad Noorisepehr
journal	International Journal of Environmental Health Engineering
journalStr	International Journal of Environmental Health Engineering
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author_browse	Mohammad Noorisepehr Mehdi Vosoughi Afsane Chavoshani Zahra Eskandari
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author-letter	Mohammad Noorisepehr
doi_str_mv	10.4103/ijehe.ijehe_40_21
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title_sort	investigating air pollutant trends based on temporal air quality indexes in karaj, iran, during 2012 − 2018
callnumber	TD1-1066
title_auth	Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018
abstract	Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) recorded at four monitoring stations across Karaj city, Iran, to investigate the air pollutant trends based on air quality indexes (AQIs) in the city during 2012–2018. Materials and Methods: The correlations between PMs and gaseous pollutants were analyzed using the Pearson correlation coefficient. The concentrations of air pollutants indexes including O3, NO2, SO2, CO, PM10, and PM2.5 were recorded in four air pollution monitoring stations in Karaj obtained from the monitoring system of the environment department. Then, the data were analyzed using SPSS and Graph pad softwares. Results: The findings showed that in 20%–40% and 1%–5% of days during 2012–2018, higher concentrations of PM2.5 and PM10 were experienced than the national standard (NS) concentration, respectively. Furthermore, during this time, 0.3%–0.9% of days indicated the higher concentrations of CO and SO2 than the NS, respectively. Although the daily concentration of NO2 was lower than NS, 0.5%–5% of days were exposed to the higher concentration of O3 than NS. SO2 concentration showed a negative and positive correlation with PM10 (r = −0.69, P = 0.013) and O3(r = 0.58, P = 0.03), respectively. Conclusion: These results indicated that Karaj AQI was moderate and the most problem with air quality in Karaj city was attributed to the PM2.5 concentrations. To reduce health disorders related to this pollutant, it is necessary to control PM2.5 sources and sensitive groups should reduce outdoor activities.
abstractGer	Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) recorded at four monitoring stations across Karaj city, Iran, to investigate the air pollutant trends based on air quality indexes (AQIs) in the city during 2012–2018. Materials and Methods: The correlations between PMs and gaseous pollutants were analyzed using the Pearson correlation coefficient. The concentrations of air pollutants indexes including O3, NO2, SO2, CO, PM10, and PM2.5 were recorded in four air pollution monitoring stations in Karaj obtained from the monitoring system of the environment department. Then, the data were analyzed using SPSS and Graph pad softwares. Results: The findings showed that in 20%–40% and 1%–5% of days during 2012–2018, higher concentrations of PM2.5 and PM10 were experienced than the national standard (NS) concentration, respectively. Furthermore, during this time, 0.3%–0.9% of days indicated the higher concentrations of CO and SO2 than the NS, respectively. Although the daily concentration of NO2 was lower than NS, 0.5%–5% of days were exposed to the higher concentration of O3 than NS. SO2 concentration showed a negative and positive correlation with PM10 (r = −0.69, P = 0.013) and O3(r = 0.58, P = 0.03), respectively. Conclusion: These results indicated that Karaj AQI was moderate and the most problem with air quality in Karaj city was attributed to the PM2.5 concentrations. To reduce health disorders related to this pollutant, it is necessary to control PM2.5 sources and sensitive groups should reduce outdoor activities.
abstract_unstemmed	Aim: Due to the importance of the relationship between air pollutants and the incidence of many diseases in polluted cities, in this study, we collected the data related to yearly, seasonally, monthly, daily, and hourly concentrations of particulate matter (PM) 2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) recorded at four monitoring stations across Karaj city, Iran, to investigate the air pollutant trends based on air quality indexes (AQIs) in the city during 2012–2018. Materials and Methods: The correlations between PMs and gaseous pollutants were analyzed using the Pearson correlation coefficient. The concentrations of air pollutants indexes including O3, NO2, SO2, CO, PM10, and PM2.5 were recorded in four air pollution monitoring stations in Karaj obtained from the monitoring system of the environment department. Then, the data were analyzed using SPSS and Graph pad softwares. Results: The findings showed that in 20%–40% and 1%–5% of days during 2012–2018, higher concentrations of PM2.5 and PM10 were experienced than the national standard (NS) concentration, respectively. Furthermore, during this time, 0.3%–0.9% of days indicated the higher concentrations of CO and SO2 than the NS, respectively. Although the daily concentration of NO2 was lower than NS, 0.5%–5% of days were exposed to the higher concentration of O3 than NS. SO2 concentration showed a negative and positive correlation with PM10 (r = −0.69, P = 0.013) and O3(r = 0.58, P = 0.03), respectively. Conclusion: These results indicated that Karaj AQI was moderate and the most problem with air quality in Karaj city was attributed to the PM2.5 concentrations. To reduce health disorders related to this pollutant, it is necessary to control PM2.5 sources and sensitive groups should reduce outdoor activities.
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title_short	Investigating air pollutant trends based on temporal air quality indexes in Karaj, Iran, during 2012 − 2018
url	https://doi.org/10.4103/ijehe.ijehe_40_21 https://doaj.org/article/9173fc0274b64512a2c78d3cc9271469 http://www.ijehe.org/article.asp?issn=2277-9183;year=2023;volume=12;issue=1;spage=14;epage=14;aulast=Noorisepehr https://doaj.org/toc/2277-9183
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author2	Mehdi Vosoughi Afsane Chavoshani Zahra Eskandari
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up_date	2024-07-04T01:21:55.649Z
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