Skip to main content

Advertisement

SpringerLink
Log in

Monitoring of aerosols and studying its effects on the environment and humans health in Iran

  • Original Paper
  • Published:
Environmental Geochemistry and Health Aims and scope Submit manuscript

Abstract

Natural hazards affect different parts of living organisms. One of these hazards is aerosols. Addressing this issue in areas that suffer from this hazard is of critical importance. Scientific research over the past two decades has shown that aerosol particles are one of the main pollutants from the perspective of public health and health. The purpose of the present study is to monitor and model aerosol temporal and spatial variations in Iran. Aerosols or airborne particles with health effects such as heart, vascular and respiratory diseases are associated. For this purpose, MODIS (or Moderate Resolution Imaging Spectroradiometer) and NOAA (or National Oceanic and Atmospheric Administration) satellite data and BTD (or Brightness Temperature Difference) were used. Given the 20-year study period (2000–2019), the output of much satellite data was divided into four five-year periods to monitor aerosols with high accuracy. The results showed that aerosol values in terms of intensity and frequency of optical depth (AOD) increased over the 20-year time series, and its intensity was higher in the last 5 years. According to the results obtained from the NODIS and NOAA satellite data and comparing their outputs, NOAA satellite data were associated with outliers, which was significantly different from the other cohort data. For this reason, the MODIS satellite image output was used to monitor aerosol images. The innovation of the present study is the use of remote sensing science to monitor the effects of aerosols on the environment and human’s health. According to the results from MODIS satellite data, the maximum optical depth (AOD) of the aerosols is for July 2003 with a value of 0.63, but according to the NOAA satellite data output, the maximum optical depth (AOD) of the aerosols is for March 2013 with a value of 2.54. As the values of aerosols increase in frequency and intensity and the areas with the highest intensity of aerosols have been identified, it can be overcome by careful planning of their problems. Areas, where the amount and volume of aerosols were higher, should be observed in health protocols. By preventing and maintaining good hygiene, the negative effects of aerosols can be reduced.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Al-Hurban, A. E., & Al-Ostad, A. N. (2010). Textural characteristics of dust fallout and potential effect on public health in Kuwait City and suburbs. Environmental Geology, 60(1), 169–181. https://doi.org/10.1007/s12665-009-0177-3.

    Article  Google Scholar 

  • Amarloo, J., Javid, H., Shakarian, R., Rezaei, F., & Vahdani, A. (2017). Dust particles and their impact on air quality. In Fourth international conference on planning and environmental management (pp. 36–41) (in Persian).

  • Arnas, C. J., Celli, S., Detemmerman, G., Addab, Y., Couedel, L., Grisolia, C., et al. (2017). Characterization and origin of large size dust particles produced in the alcator C_ mod tokamak. Nuchear Materials and Energy, 3(11), 12–19. https://doi.org/10.1016/j.nme.2017.02.027.

    Article  Google Scholar 

  • Cuevas, E. G., Plelaz, A. G., Rodriguez, S., Terradellas, E., Basart, S., Garcia, R. D., et al. (2017). The pulsating nature of large scale Saharan dust transport. Atmospheric Environment, 11(167), 586–602. https://doi.org/10.1016/j.atmosenv.2017.08.059.

    Article  CAS  Google Scholar 

  • Dansie, A., Wigs, S., & Washington, D. (2017). Measurements of windblown dust characteristics and ocean fertilization potential. Aeolian Research, 4(29), 30–41. https://doi.org/10.1016/j.aeolia.2017.08.002.

    Article  Google Scholar 

  • Darvishi, J., Abbasgholi, F., & Mohammadi, A. (2017). Sedimentary mineralogy and geochemistry of dust enterance to Khuzestan province. Environmental Hazards, 14(9), 1–16. (in Persian).

    Google Scholar 

  • Fatemi, B., & Rezaei, Y. (2012). The basics of remote sensing (3rd ed., p. 296). Tehran. p: Azadeh Publications.

    Google Scholar 

  • Gandomkar, A., Fanaei, R., Daneshvar, F., Kardan, H., Ahmadinejad, M., & Rezaei, N. (2017). Investigation and relationship of temperature series and days with dust in Hamadan Province. Geography, 53(8), 277–293. (in Persian).

    Google Scholar 

  • Ghasemlounia, R., & Sedaghatherfeh, N. (2017). Study on groundwater quality using geographic information system (GIS), case study: Ardabil, Iran. Civil Engineering Journal, 3(9), 779–799. https://doi.org/10.21859/cej-030914.

    Article  Google Scholar 

  • Ghouse, B., Venkat, M., Ratnama, K., Niranjan, K., Kishored, P., & Isabella, V. (2019). Long-term variation of dust episodes over the United Arab Emirates. Journal of Atmospheric and Solar-Terrestrial Physics, 7(187), 33–39. https://doi.org/10.1016/j.jastp.2019.03.006.

    Article  Google Scholar 

  • Griffin, D. W. (2007). Atmospheric movement of microorganisms in clouds of desert dust and implications for human health. Clinical Microbiology Reviews, 20(3), 459–577. https://doi.org/10.1128/cmr.00039-06.

    Article  Google Scholar 

  • Han, T. O., Win, W. Z., & Cho, T. K. (2020). Analysis of stream flow response to changing climate conditions using SWAT model. Civil Engineering Journal, 6(2), 194–209. https://doi.org/10.28991/cej-2020-03091464.

    Article  Google Scholar 

  • Hejazizadeh, Z., Tolabinezhad, M., Zaree, Z., & Omaraee, B. (2018). Monitoring dust storms in sub-western Iran, case study: Dust storm June 16–19, 2015. Journal of Spatial Analysis of Environmental Hazards, 4(8), 107–124.

    Google Scholar 

  • Holms, C. W., & Miller, R. (2004). Atmospherically transported metals and deposition in the southeastern United States: local or transoceanic. Applied Geochemistry, 19(7), 1189–1200.

    Article  Google Scholar 

  • Hosseini, A., & Rostami, D. (2018). Investigation and tracking of dust phenomena in south and southeast of Iran using hysplit model and principles of remote sensing. Journal of Spatial Analysis of Environmental Hazards, 3(9), 103–109. (in Persian).

    Google Scholar 

  • Jalali, N., Iranmanesh, F., & Davoodi, M. (2017). Identification of origin and areas affected by dust storms in southwestern Iran using Madis images. Journal of Watershed Engineering and Management, 9(4), 218–331. (in Persian).

    Google Scholar 

  • Jixia, H., Zhang, Q., Tan, J., Yue, D., & Quansheng, G. (2017). Association between forestry ecological engineering and dust weather in lnner Mongolia. Physics and Chemistry of the Earth, 36(12), 14–27. https://doi.org/10.1016/j.pce.2017.10.003.

    Article  Google Scholar 

  • Kargar, E., Jamali, J., Ranjbar, A., Moeinuddini, M., & Gashtasb, H. (2016). Numerical simulation and analysis of heavy storm in Eastern Iran. Journal of Spatial Analysis of Environmental Hazards, 4, 101–119. (in Persian).

    Google Scholar 

  • Liu, Z. W., & Gennady, M. (2017). Simulation of dust grain charging under tokamak plasma conditions. Nuclear Materials and Energy, 5(12), 530–535. https://doi.org/10.1016/j.nme.2016.11.030.

    Article  Google Scholar 

  • Lu, M., Xinghua, Y., Tianliang, Z., Qing, H., Lua, H., Ali, M., et al. (2019). Modeling study on three dimensional distribution of dust aerosols during a dust storm over the Tarim Basin, Northwest China. Atmospheric Research, 2(218), 285–295. https://doi.org/10.1016/j.atmosres.2018.12.006.

    Article  Google Scholar 

  • Mohammadkhan, S. H. (2017). Investigating the status and trend of dust storm changes in iran from 1985 to 2005. Iranian Journal of Natural Resources, 2(3), 495–504. (in Persian).

    Google Scholar 

  • Mulenga, D., & Siziya, S. (2019). Indoor air pollution related respiratory ill health, a sequel of biomass use. SciMedicine Journal, 1(1), 30–37. https://doi.org/10.28991/SciMedJ-2019-0101-5.

    Article  Google Scholar 

  • Nabavi, O., Leopold, H., & Cyrus, S. (2017). Sensitivity of WRF_chem predictions to dust source function specification in west Asia. Aeolian Research, 14(24), 115–131. https://doi.org/10.1016/j.aeolia.2016.12.005.

    Article  Google Scholar 

  • Narayan, K., Khanindra, P., Abhisek, C., Subodh, K., Chowdary, V. M., Satiprasad, C. P., et al. (2019). Assessment of foliar dust using hyperion and landsat satellite imagery for mine environmental monitoring in an open cast iron ore mining areas. Journal of Cleaner Production, 4(19), 30–33. https://doi.org/10.1016/j.jclepro.2019.01.305.

    Article  Google Scholar 

  • Nasiri, B., Zarei, Z., Halimi, M., & Rostami, M. (2016). Investigation of changes in height and thickness of boundary layer in dusty conditions of Ahvaz city. Journal of Spatial Analysis of Environmental Hazards, 2(8), 51–64. (in Persian).

    Google Scholar 

  • Rafiei, Z., Yazdani, M., & Rahimi, M. (2016). Trend analysis of the dusty days number in Iran. Khoshkboom Journal, 2(4), 11–23. (in Persian).

    Google Scholar 

  • Raygani, B., & Kheirandish, Z. (2017). using time series satellite data to validate Alborz province dust production hotspots. Journal of Spatial Analysis of Environmental Hazards, 4(2), 1–18. (in Persian).

    Google Scholar 

  • Reisipour, K., & Khosravi, M. (2019). Analysis of long-term aerosol optical depth (AOD) behavior in Sistan plain using MERRA-2 model. In International dust conference on southwest Asia, Zabol, Zabol University (in Persian).

  • Safarianzangir, V., Zeinali, B., Jafari, I., & Jafarzadeh, L. (2018). Study of dust and its prediction in Ardabil Province using ANFIS model. Journal of Spatial Analysis of Environmental Hazards, 2(7), 125–142. (in Persian).

    Google Scholar 

  • Safarianzengir, V., & Sobhani, B. (2020). Simulation and analysis of natural hazard phenomenon, drought in southwest of the Caspian Sea, IRAN. Carpathian Journal of Earth and Environmental Sciences, 15(1), 127–136. https://doi.org/10.26471/cjees/2020/015/115.

    Article  Google Scholar 

  • Safarianzengir, V., Sobhani, B., & Asghari, S. (2019). Modeling and monitoring of drought for forecasting it, to reduce natural hazards atmosphere in western and north western part of Iran, Iran. Air Quality, Atmosphere and Health. https://doi.org/10.1007/s11869-019-00776-8.

    Article  Google Scholar 

  • Sahrahee, J., Bahrami, M., & Mohammadi, N. (2017). Dust storm tracking (case study: Khuzestan). In First conference on new thoughts and technologies in geographical sciences (pp. 11–16).

  • Sahu, O., Dubasi, R., Nigus, G., Addis, E., & Firomsa, T. (2017). Sorption of phenol from synthetic aqueous solution by activated saw dust. Biochemistry and Biophysics Reports, 8(12), 46–53. https://doi.org/10.1016/j.bbrep.2017.08.007.

    Article  Google Scholar 

  • Shahsavani, A., Yarahmadi, M., Jafarzade, H. N., Naimabadie, A., Mahmoudian, M. H., Saki, H., et al. (2011). Dust storms: Environmental and health impacts. Journal of North Khorasan University of Medical Sciences, 2(4), 45–56. https://doi.org/10.29252/jnkums.2.4.45.

    Article  Google Scholar 

  • Shoji, M., Kawamura, G., Smirnov, R., Pigarov, A., Tanaka, Y., Masuzaki, S., et al. (2017). Simulation of impurity transport in the peripheral plasma due to the emission of dust in long pulse discharges on the large helical device. Nuclear Materials and Energy, 14(12), 779–785. https://doi.org/10.1016/j.nme.2017.07.002.

    Article  Google Scholar 

  • Sobhani, B., Jafarzadehaliabad, L., & Safarianzangir, V. (2020a). Investigating the effects of drought on the environment in northwestern province of Iran, Ardabil, using combined indices, Iran. Modeling Earth Systems and Environment, 1, 1. https://doi.org/10.1007/s40808-020-00733-w.

    Article  Google Scholar 

  • Sobhani, B., & Safarianzengir, V. (2019a). Investigation hazard effect of monthly ferrrin temperature on agricultural products in north bar of Iran. Iraqi Journal of Agricultural Sciences, 50(1), 320–330.

    Google Scholar 

  • Sobhani, B., & Safarianzengir, V. (2019b). Modeling, monitoring and forecasting of drought in south and southwestern Iran, Iran. Modeling Earth Systems and Environment. https://doi.org/10.1007/s40808-019-00655-2.

    Article  Google Scholar 

  • Sobhani, B., & Safarianzengir, V. (2020). Evaluation and zoning of environmental climatic parameters for tourism feasibility in northwestern Iran, located on the western border of Turkey. Modeling Earth Systems and Environment. https://doi.org/10.1007/s40808-020-00712-1.

    Article  Google Scholar 

  • Sobhani, B., Safarianzengir, V., & Kianian, M. K. (2018). Potentiometric mapping for wind turbine power plant installation Guilan province in Iran. Journal of Applied Science and Environmental Management, 22, 1363–1368. https://doi.org/10.4314/jasem.v22i8.36.

    Article  Google Scholar 

  • Sobhani, B., Safarianzengir, V., & Kianian, M. K. (2019a). Drought monitoring in the Lake Urmia basin in Iran. Arabian Journal of Geosciences, 12, 448. https://doi.org/10.1007/s12517-019-4571-1.

    Article  Google Scholar 

  • Sobhani, B., Safarianzengir, V., & Kianian, M. K. (2019b). Modeling, monitoring and prediction of drought in Iran. Iranian (Iranica) Journal of Energy and Environment, 10, 216–224. https://doi.org/10.5829/ijee.2019.10.03.09.

    Article  Google Scholar 

  • Sobhani, B., Safarianzengir, V., & Miridizaj, F. (2019c). Feasibility study of potato cultivating of Ardabil province in Iran based on VIKOR model. Revue Agriculture, 10(2), 92–102.

    Google Scholar 

  • Sobhani, B., Safarianzengir, V., & Yazdani, M. H. (2020b). Modelling, evaluation and simulation of drought in Iran, southwest Asia. Journal of Earth System Science, 129, 100. https://doi.org/10.1007/s12040-020-1355-7.

    Article  Google Scholar 

  • Tiangang, Y., Siyu, C., Jianping, H., Xiaorui, Z., Yuan, L., Xiaojun, M., et al. (2019). Sensitivity of simulating a dust storm over Central Asia to different dust schemes using the WRF-Chem model. Atmospheric Environment, 15(207), 16–29. https://doi.org/10.1016/j.atmosenv.2019.03.014.

    Article  CAS  Google Scholar 

  • Tsolmon, R., Ochirkhuyag, L., & Sternberg, T. (2008). Monitoring the source of trans-national dust storms in North East Asia. International Journal of Digital Earth, 1(1), 119–129. https://doi.org/10.1080/17538940701782593.

    Article  Google Scholar 

  • Vali, A., & Rostaee, F. (2017). A survey of wind erosion trends in central iran using the dust storm index in the recent fifty years. Journal of Soil and Water Sciences (Agricultural and Natural Resources Sciences and Technologies), 4(6), 189–200. (in Persian).

    Google Scholar 

  • Wan, Z. (1999). MODIS landsurface temperature algorithm theoretical basis document. Institute for Computational Earth System Science University of California Santa Barbara, 3, 1–77. https://doi.org/10.1117/12.363521.

    Article  Google Scholar 

  • Wang, Z., Xiaole, P., Itsushi, U., Jie, L., Zifa, W., Xueshun, C., et al. (2017). Significant impacts of heterogeneous reactions on the chemical composition and mixing state of dust particles. Atmospheric Environment, 3(159), 83–91. https://doi.org/10.1016/j.atmosenv.2017.03.044.

    Article  CAS  Google Scholar 

  • Wei, P., Qi, S., Feng, X., & Yueyuan, J. (2018). Simulations of the dust behavior in the sampling and dust filters in the primary loop of HTR-10. Nuclear Engineering and Design, 9(302), 112–121. https://doi.org/10.1016/j.nucengdes.2018.09.036.

    Article  CAS  Google Scholar 

  • Willame, Y., Vandaele, A. C., Depiesse, C., Lefevre, F., Letocart, V., Gillotay, D., et al. (2017). Retrieving cloud dust and ozone abundances in the martion atmosphere SPICAM/UV nadir spectra. Planetary and Space Science, 7(142), 9–225. https://doi.org/10.1016/j.pss.2017.04.011.

    Article  CAS  Google Scholar 

  • William, G., Tobin, M., David, J., & Zach, U. (2018). Trajectory measurements for individual dust particles on the Colorado dust accelerator. Nuclear Instruments and Methods in Physics Research, 10, 908.

    Google Scholar 

  • Ye, B., Ji, X., Yang, H., Yao, X., Chan, C., Cadle, S., et al. (2003). Concentration and chemical composition of PM2.5 in Shanghai for a 1-year period. Atmospheric Environment, 37(4), 449–510. https://doi.org/10.1016/s1352-2310(02)00918-4.

    Article  Google Scholar 

  • Zaidoon, T. A., Raghad, H., & Nadia, A. (2019). Integrated TRMM data and standardized precipitation index to monitor the meteorological drought. Civil Engineering Journal, 5(7), 1590–1598. https://doi.org/10.28991/cej-2019-03091355.

    Article  Google Scholar 

  • Zalesna, E., Grzonka, J., Rubel, M., Carrasco, A., Widdowson, V., Baron, A., et al. (2017). Studies of dust from JET with the ITER like wall: Composition and internal structure. Nuclear Materials and Energy, 8(12), 582–587. https://doi.org/10.1016/j.nme.2016.11.027.

    Article  Google Scholar 

  • Zhiyuan, H., Jianping, H., Chun, Z., Jiangrong, B., Qinjian, J., Yun, Q., et al. (2019). Modeling the contributions of Northern Hemisphere dust sources to dust outflow from East Asia. Atmospheric Environment, 6(14), 1352–2310. https://doi.org/10.1016/j.atmosenv.2019.01.022.

    Article  CAS  Google Scholar 

  • Zielhofer, C., Hans, S., William, F., Birgit, S., Elisabeth, D., Michael, S., et al. (2017). Millennial scale fluctuations in Saharan dust supply across the decline of the African humid period. Quatemary Science Reviews, 4(171), 119–135. https://doi.org/10.1016/j.quascirev.2017.07.010.

    Article  Google Scholar 

Download references

Acknowledgements

We acknowledge the MODIS Sensor Satellite Images and NOAA Satellite; personnel and scientists for their efforts, data sharing and for the production its.

Author information

Authors and Affiliations

  1. Department of Physical Geography, University of Mohaghegh Ardabili, Ardabil, Iran

    Aghil Madadi

  2. Department of Geography, Payame Noor University (PNU), Tehran, Iran

    Atefeh Hoseini Sadr

  3. Faculty of Literature and Humanities, University of Mohaghegh Ardabil, Ardabil, Iran

    Abbas Kashani & Vahid Safarianzengir

  4. Geography and Urban and Rural Planning, Faculty of Literature and Humanities, University of Mohaghegh Ardabili, Ardabil, Iran

    Ata Ghaffari Gilandeh

  5. Desert Studies Faculty, Semnan University, Semnan, Iran

    Mohammadkia Kianian

Authors
  1. Aghil Madadi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Atefeh Hoseini Sadr
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abbas Kashani
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ata Ghaffari Gilandeh
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Vahid Safarianzengir
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Mohammadkia Kianian
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vahid Safarianzengir.

Ethics declarations

Conflict of interest

The author declares that there is no conflict of interest regarding the publication of this manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Madadi, A., Sadr, A.H., Kashani, A. et al. Monitoring of aerosols and studying its effects on the environment and humans health in Iran. Environ Geochem Health 43, 317–331 (2021). https://doi.org/10.1007/s10653-020-00709-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10653-020-00709-w

Keywords

Search

Navigation