Variation of PM10 and its relationship with Dust and Climate in Birjand, Iran

References 
 
Ahmadi, Z., Doostan., R, A. Mofidi, 2015. Synoptic Analysis of Dust from the Warm Half of the Year in  Southern Khorasan Province. Physical Geography Quarterly, 29; 41-62. Al-Hemoud, A., Al-Dousari., A, Al-Shatti., A, Al-Khayat., A, Behbehani., W., M. Malak, 2018. Health impact assessment associated with exposure to PM10 and dust storms in Kuwait. Atmosphere (Basel). Multidisciplinary Digital Publishing Institute, 9; 1-13. Ali, MA., Islam, MM., Islam, MN., M. Almazroui, 2019. Investigations of MODIS AOD and cloud properties with CERES sensor based net cloud radiative effect and a NOAA HYSPLIT Model over Bangladesh for the period 2001–2016. Atmospheric Research, 215; 268–83 . Alifa, M., Bolster, D., Mead, MI., Latif, MT., P. Crippa, 2020. The influence of meteorology and emissions on the spatio-temporal variability of PM10 in Malaysia. Atmospheric Research, 246; 105-107 . Anake, WU., Ana, GREE., NU, Benson, 2016. Study of surface morphology, elemental composition and sources of airborne fine particulate matter in Agbara industrial estate, Nigeria. International Journal of Applied Environmental Sciences, 11; 881–890 . Arslan, O., Ö. Akyürek, 2018. Spatial modelling of air pollution from PM10 and SO2 concentrations during winter season in Marmara Region (2013-2014). International Journal of Environment and Geoinformatics, 5; 1–16. Atabaki, MR., Sakhaei, M., Hoveidi, H., Pooteh Rigi, M., E. Karimimanesh, 2017. Investigation of PM10 particles concentration changes and influence of meteorological parameters on it in year 2013 (Case study: Zahedan). Journal of Research in Environmental Health, 3; 198–207 . Azarmi, F., Kumar, P., Marsh, D., G. Fuller, 2016. Assessment of the long-term impacts of PM 10 and PM 2.5 particles from construction works on surrounding areas. Environmental Science: Processes & Impacts, 18; 208–221 . Baghi, M., Rashki, A., MH. Mahmudy Gharaie, 2020. Investigation of Chemical and Mineralogical Properties of Dust Entering Northeastern Iran and its Pathogenic Potential. Journal of Geography and Environmental Hazards, 9;139–53 . Bodor, K., Micheu, MM., Keresztesi, Á., Birsan, M-V., Nita, I-A., Z. Bodor, 2021. Effects of PM10 and weather on respiratory and cardiovascular diseases in the Ciuc Basin (Romanian Carpathians). Atmosphere (Basel). Multidisciplinary Digital Publishing Institute, 12; 1-21 . 
DESERT2022, 27(1): 97-114                                                                                                                                                    112   
Bodor, Z., Bodor, K., Keresztesi, Á., R. Szép R, 2020. Major air pollutants seasonal variation analysis and long-range transport of PM 10 in an urban environment with specific climate condition in Transylvania (Romania). Environmental Science and Pollution Research, 27; 38181–38199 . Che, H., Zhang, X-Y., Xia, X., Goloub, P., Holben, B., H. Zhao, 2015. Ground-based aerosol climatology of  China: aerosol optical depths from the China Aerosol Remote Sensing Network (CARSNET) 2002– 2013. Atmospheric Chemistry and Physics, 15; 7619–7652 . Choubin, B., Abdolshahnejad, M., Moradi, E., Querol, X., Mosavi, A., S. Shamshirband, 2020. Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain. Science of The Total Environment, 701; 134474 . Csavina, J., Field, J., Félix, O., Corral-Avitia, AY., Sáez, AE., EA. Betterton, 2014. Effect of wind speed and relative humidity on atmospheric dust concentrations in semi-arid climates. Science of The Total Environment, 487; 82–90 . Cujia, A., Agudelo-Castañeda, D., Pacheco-Bustos, C., EC. Teixeira, 2019. Forecast of PM10 time-series data: A study case in Caribbean cities. Atmospheric Pollution Research,10; 2053–2062 . Czernecki, B., Półrolniczak, M., Kolendowicz, L., Marosz, M., Kendzierski, S., N. Pilguj, 2017. Influence of the atmospheric conditions on PM 10 concentrations in Poznań, Poland. Journal of Atmospheric Chemistry, 74; 115–139 . Draxler, R., Stunder, B., Rolph, G., Stein, A., A. Taylor, 2009. HYSPLIT4 user’s guide, Version 4.9. Last Revised; 1-242. Drury, E., Jacob, DJ., Wang, J., Spurr, RJD., K. Chance, 2008. Improved algorithm for MODIS satellite retrievals of aerosol optical depths over western North America. Journal of Geophysical Research: Atmospheres,113: (D16) . Ebrahimikhusfi, Z., F. Dargahian, 2018. Investigation of the Climatic parameters Effect on the Concentration Change of Particles Matter less than 10 μm and its Relation to Wind Erosion Occurrence in Arid Regions. Journal of Arid Regions Geographics Studies, 9; 76–92 . Ekhtesasi, MR., Z. Gohari, 2012. Determining area affected by dust storms in different wind speeds, using  satellite images. Desert, 17; 193–202 . EPA US, 2012. The National Ambient Air Quality Standards for Particle Matter: Revised Air Quality  Standards for Particle Pollution and Updates to the Air Quality Index (AQI). Environmental. Protection  Agency. Filonchyk, M., Yan, H., Zhang, Z., Yang, S., Li, W., Y. Li, 2019. Combined use of satellite and surface observations to study aerosol optical depth in different regions of China. Scientific reports, 9; 1-15. Ganguly, R., Sharma, D., P. Kumar, 2019.  Trend analysis of observational PM10 concentrations in Shimla city, India. Sustainable Cities and Society, 51;101719 . Goudie, AS, 2014. Desert dust and human health disorders. Environment international; 63; 101–113 . Han, L., Zhao, J., Gao, Y., Gu, Z., Xin, K., J. Zhang, 2020. Spatial distribution characteristics of PM2. 5 and PM10 in Xi’an City predicted by land use regression models. Sustainable Cities and Society; 61; 102329 . Hassan, H., Latif, MT., Juneng, L., Amil, N., Khan, MF., DJ. Yik, 2020. Interaction of PM10 concentrations  with local and synoptic meteorological conditions at different temporal scales. Atmospheric Research, 241; 104975 . Kalderon-Asael, B., Erel, Y., Sandler, A., U. Dayan, 2009. Mineralogical and chemical characterization of  suspended atmospheric particles over the east Mediterranean based on synoptic-scale circulation  patterns. Atmospheric Environment, 43; 3963–3970 . Kaskaoutis, DG., Dumka, UC., Rashki, A., Psiloglou, BE., Gavriil, A., A. Mofidi, 2019. Analysis of intense  dust storms over the eastern Mediterranean in March 2018: Impact on radiative forcing and Athens  air quality. Atmospheric Environment, 209; 23–39 . Kim, S., Hong, K-H., Jun, H., Park, Y-J., Park, M., Y. Sunwoo, 2014. Effect of precipitation on air pollutant  concentration in Seoul, Korea. Asian Journal of Atmospheric Environment, 8; 202–211 . Kliengchuay, W., Worakhunpiset, S., Limpanont, Y., Meeyai, AC., K. Tantrakarnapa, 2021. Influence of the meteorological conditions and some pollutants on PM10 concentrations in Lamphun, Thailand. Journal of Environmental Health Science and Engineering, 19; 237–249 . 
113  Ebrahimi et al. 
 
 
Krasnov, H., Katra, I., Koutrakis, P., MD. Friger, 2014. Contribution of dust storms to PM10 levels in an urban arid environment. Journal of the Air & Waste Management Association, 64; 89–94 . Levy, R., C. Hsu, 2015. Modis atmosphere l2 aerosol product, NASA MODIS adaptive processing system . Goddard Sp. Flight Center, USA, 10 . Li, J., He, Q., Ge, X., Abbas, A., L. Jin, 2021. Spatio-temporal changes of AOD in Xinjiang of China from 2000 to 2019: Which factor is more influential, natural factor or human factor? PLoS One, 16; 1-19 . Maghrabi, AH., RN. Alotaibi, 2018. Long-term variations of AOD from an AERONET station in the central  Arabian Peninsula. Theoretical and Applied Climatology, 134; 1015–1026 . Mehrabi, S., Soltani, S., R. Jafari, 2015. Analyzing the relationship between dust storm occurrence and climatic parameters. Journal of Science and Technology of Agriculture and Natural Resources, 19; 69– 81 . Modarres, R., S. Sadeghi, 2018. Spatial and temporal trends of dust storms across desert regions of Iran. Natural Hazards, 90; 101–114 . Mosavi, H., A, reza. Pourkhabaz, 2017. Dust Source Identification Using Physical-Chemical Characterization in Birjand. Journal of Environmental Geology, 11; 1–9. Munir, S., Habeebullah, TM., Mohammed, AMF., Morsy, EA., Rehan, M., K. Ali, 2017. Analysing PM2.5 and its association with PM10 and meteorology in the arid climate of Makkah, Saudi Arabia. Aerosol and Air Quality Research, 17; 453–464 . Namdari, S., Valizade, KK., Rasuly, AA., BS. Sarraf, 2016. Spatio-temporal analysis of MODIS AOD over  western part of Iran. Arabian Journal of Geosciences, 9; 191 . Onuorah, CU., Leton, TG., YOL. Momoh, 2019. Influence of meteorological parameters on particle pollution (PM2. 5 and PM10) in the Tropical Climate of Port Harcourt, Nigeria. Archives of Current Research International, 19; 1–12 . Prospero, JM., Ginoux, P., Torres, O., Nicholson, SE., TE. Gill, 2002. Environmental characterization of global sources of atmospheric soil dust identified with the Nimbus 7 Total Ozone Mapping Spectrometer  (TOMS) absorbing aerosol product. Reviews of geophysics, 40; 1–2 . Qiao, W., Wang, Y., Zhang, J., Tian, W., Tian, Y., Q, 2021. Yang, An innovative coupled model in view of wavelet transform for predicting short-term PM10 concentration. Journal of Environmental Management, 289;112438 . Rahimi, M., Yazdani, MR., Asadi, M., MT. Haydari, 2015. Investigating the Air Pollution of Sanandaj whit  emphasis on temporal variation of PM10 concentration. Journal of Urban Ecology Researches, 6; 99–116. Rashki, A., Arjmand, M., DG. Kaskaoutis, 2017. Assessment of dust activity and dust-plume pathways over Jazmurian Basin, southeast Iran. Aeolian Research, 24;145–160 . Rashki, A., Kaskaoutis, DG., Goudie, AS., RA. Kahn, 2013. Dryness of ephemeral lakes and consequences for dust activity: the case of the Hamoun drainage basin, southeastern Iran. Science of the total environment, 463; 552–564 . Rezaei, A., Rezaei, MR., MH. Sayadi, 2017. Survey on Air Pollution and the Effects of Climatic Factors on Birjand city in 2012. Community Health Journal, 7; 62–65 . de Rooij, MMT., Heederik, DJJ., Borlée, F., Hoek, G., IM. Wouters, 2017. Spatial and temporal variation in endotoxin and PM10 concentrations in ambient air in a livestock dense area. Environmental research, 153; 161–170 . Safarpour, S., Abdullah, K., San Lim, H., M. Dadras, 2014. Accuracy assessment of Terra-MODIS aerosol optical depth retrievals. IOP Conference Series: Earth and Environmental Science (Vol. 20, No. 1, p. 012059). IOP Publishing. Sánchez-Soberón, F., Rovira, J., Sierra, J., Mari, M., Domingo, JL., M. Schuhmacher, 2019. Seasonal characterization and dosimetry-assisted risk assessment of indoor particulate matter (PM10-2.5, PM2. 5-0.25, and PM0. 25) collected in different schools. Environmental research, 175; 287–296 . Sarkar, T., M. Mishra, 2018. Soil erosion susceptibility mapping with the application of logistic regression and artificial neural network. Journal of Geovisualization and Spatial Analysis, 2; 1–17 . Sayadi, MH, 2014. Impact of land use on the distribution of toxic metals in surface soils in Birjand city, Iran. Proceedings of the international Academy of Ecology and Environmental Sciences, 4;18 . 
DESERT2022, 27(1): 97-114                                                                                                                                                    114   
Sayadi, MH., Shabani, M., N. Ahmadpour, 2015. Pollution index and ecological risk of heavy metals in the surface soils of Amir-Abad Area in Birjand City, Iran. Health Scope, 4; 1-5 . Sayer, AM., Munchak, LA., Hsu, NC., Levy, RC., Bettenhausen, C., M. Jeong, 2014. MODIS Collection 6 aerosol products: Comparison between Aqua’s e‐Deep Blue, Dark Target, and “merged” data sets, and usage recommendations. Journal of Geophysical Research: Atmospheres, 119; 13–965 . Sfîcă, L., Iordache, I., Ichim, P., Leahu, A., Cazacu, M-M., S. Gurlui, 2018. The influence of weather conditions and local climate on particulate matter (PM10) concentration in Metropolitan Area of Iasi, Romania. Present Environment and Sustainable Development, 2; 47–70 . Sharif, F., Alam, K., S. Afsar, 2015. Spatio-temporal distribution of aerosol and cloud properties over Sindh using MODIS satellite data and a HYSPLIT model. Aerosol and Air Quality Research, 15; 657–672 . Sharma, RC., N. Sharma, 2016. Influence of some meteorological variables on PM10 and NOx in Gurgaon , Northern India. American Journal of Environmental Protection, 4; 1–6 . Shaziayani, WN., Ul-Saufie, AZ., Libasin, Z., Shukri, FNA., Abdullah, SSS., NM. Noor, 2020. A Review of PM10 Concentrations Modelling in Malaysia. IOP Conf. Series. Earth Environmental Science. IOP Publishing,. p. 12008 . Taheri Shahraiyni, H., S. Sodoudi, 2016. Statistical modeling approaches for PM10 prediction in urban areas; A review of 21st-century studies. Atmosphere (Basel). Multidisciplinary Digital Publishing Institute, 7; 15 Wang, J., Xu, X., Spurr, R., Wang, Y., E. Drury, 2010. Improved algorithm for MODIS satellite retrievals of aerosol optical thickness over land in dusty atmosphere: Implications for air quality monitoring in China.  Remote Sensing of Environment, 114; 2575–2583 . Yarmoradi, Z., Nasiri, B., Mohammadi, GH., M. Karampour, 2020. Long-term characteristics of the observed dusty days and its relationship with climatic parameters in East Iran. Arabian Journal of Geosciences,13; 1–11 .