دانشگاه علوم کشاورزی و منابع طبیعی گرگان

 آمار

تعداد نشریات13
تعداد شماره‌ها660
تعداد مقالات6,885
تعداد مشاهده مقاله10,045,523
تعداد دریافت فایل اصل مقاله9,331,694
Masoudi, M., Asadifard, E., Rastegar, M.. (1397). Status of PM10 as an air pollutant and its prediction using meteorological parameters in Ahvaz, Iran. , 6(2), 163-174. doi: 10.22069/ijerr.2018.13346.1205
M. Masoudi; E. Asadifard; M. Rastegar. "Status of PM10 as an air pollutant and its prediction using meteorological parameters in Ahvaz, Iran". , 6, 2, 1397, 163-174. doi: 10.22069/ijerr.2018.13346.1205
Masoudi, M., Asadifard, E., Rastegar, M.. (1397). 'Status of PM10 as an air pollutant and its prediction using meteorological parameters in Ahvaz, Iran', , 6(2), pp. 163-174. doi: 10.22069/ijerr.2018.13346.1205
Masoudi, M., Asadifard, E., Rastegar, M.. Status of PM10 as an air pollutant and its prediction using meteorological parameters in Ahvaz, Iran. , 1397; 6(2): 163-174. doi: 10.22069/ijerr.2018.13346.1205

Status of PM10 as an air pollutant and its prediction using meteorological parameters in Ahvaz, Iran

Environmental Resources Research
مقاله 6، دوره 6، شماره 2، مهر 2018، صفحه 163-174    اصل مقاله (778.84 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22069/ijerr.2018.13346.1205
نویسندگان
M. Masoudi؛ E. Asadifard؛ M. Rastegar
Shiraz University, Iran
چکیده
In the present study, air quality analyses for particulate matters (PM10) were conducted
in Ahvaz, a city in the south of Iran. The measurements were taken from 2009 through
2010 in two different locations to prepare average data for the city. The average
concentrations were calculated for every 24 hours, and each month and each season which
showed the highest concentration of PM10 in the morning while the least concentration was
found in the afternoon. Monthly concentrations of the PM10 showed the highest value in
July and the least in January. The seasonal concentrations show the highest amounts in
summer. Relationships between air pollutant and meteorological parameters were assessed
statistically using the daily average data. The wind data (velocity, direction), relative
humidity, temperature, sunshine periods, dew point and rainfall were considered as
independent variables. The relationships were expressed by multiple linear and nonlinear
regression equations for annual and seasonal conditions using SPSS software. Results
showed significant relationships between PM10 and some meteorological parameters.
RMSE test showed that among the different prediction models, stepwise model is the best
option. Unfortunately, mostly the concentration of the PM10 was very higher than primary
standards of PM10 (50 μg/m3) for human health, that is why recently, Ahvaz is considered
one of worst polluted cities in the country.
کلیدواژه‌ها
Particulate Matters؛ Ahvaz؛ Air pollution؛ RMSE، Regression model
مراجع

 Abdul-Wahab, S.A., and Al-Alawi, S.M. 2002. Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks. Environmental Modelling and Software, 17(3), 219–228.

 Abdul-Wahab, S.A., Bakheit, C.S., and Al-Alawi, S.M. 2005. Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations. Environmental Modelling and Software,  20(10), 1263–1271.

Asadifard, E., and Masoudi, M. 2018. Status and prediction of carbon monoxide as an air pollutant in Ahvaz City, Iran. Caspian Journal of Environmental Sciences, 16, 203-213.

Asghari Esfandani, M., and Nematzadeh, H. 2016. Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network. Journal of Air and Data Mining, 4(1), 49-54.

Asrari, E., Sen, P.N, and Masoudi, M. 2007. Status of carbon mono oxide in Tehran City- Iran. Pollution Research, 26 (4), 531-535.

Chelani, A.B., et al. 2001. Statistical modeling of ambient air pollutants in Delhi. Water, Air and Soil Pollution, 1326, 315-331.

Cunningham, W.P., and Cunningham, M.A. 2002. Principles of Environmental Science inquiry and applications. MxGraw Hill Company, p. 389.

Dundar, M.S., Altundag, H., Yilmazcan, O., and Kaygaldurak, S. 2013. Determination of some heavy metal contents in PM1 and PM10 airborne particulate matters by AAS analysis. Fresenius Environmental Bulletin, 22, 3179-3183.

 Cuhadaroglu, B., and Demirci, E. 1997. Influence of some meteorological factors on air pollution in Trabzon city. Energy and Buildings,  25(3), 179–184.

 Elminir, H. K. 2005. Dependence of urban air pollutants on meteorology. Science of The Total Environment, 350, 225–237.

Guinness World Records. 2013. Page 036 (Hardcover edition).

Ho, L.C., and Lin, W.Y. 1994. Semi-statistical model for evaluating the effects of source emissions and meteorological effects on daily average NOx concentrations in South Taiwan. Atmospheric Environment, 37, 2051-2059.

Lam, G.C.K., Leong, D.Y.C., and et al. 1997. Street level concentration of NOX and suspended particulate matter in Hong Kong. Atmospheric Environment, 93, 1-11.

Li, L., Qian, J., Ou, C.Q., Zhou, Y.X., Guo, C., and Guo, Y. 2014. Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001–2011. Environmental Pollution, 190, 75-81.

Khader, Y., Abdelrahman, M., Abdo, N., Awad, S., Al-Sharif, M., and Elbetieha A. 2016. Exposure to Air Pollution and Pregnancy Outcomes in the East Mediterranean Region: a Systematic Review. International Journal of Pediatrics, 4 (1), 1255-1271.

Kinnear, P.R. 2002. SPSS for windows made simple release 10. Psychology press.

Mandal, S. 2000. Progressive decrease of air pollution level from west to east at Calcutta'. Indian Journal of Environmental Protection, 20, 6-10.

Masoudi, M., Asadifard, E., and Rastegar, M. 2014a. Status and prediction of ozone as an air pollutant in Ahvaz City, Iran. Caspian Journal of Environmental Sciences, 12, 215-224.

Masoudi, M., Behzadi, F., and Sakhaei, M. 2014b. Status and prediction of Ozone as an air pollutant in Tehran, Iran. Ecology Environment and Conservation, 20(2):775-780.

Masoudi, M., and Asadifard, E. 2015. Status and prediction of Nitrogen Dioxide as an air pollutant in Ahvaz City, Iran. Pollution Atmosphérique, 225, 1-10.

Masoudi, M., Ordibeheshti, F., Rajaipoor, N., and Sakhaei, M. 2016a. Status and preparation of prediction models for ozone as an air pollutant in Shiraz, Iran. Pollution, 2(4), 387-397.

Masoudi, M., Sakhaei, M., Behzadi, F., and Jokar, P. 2016b. Status of PM10 as an air pollutant and its prediction using meteorological parameters in Tehran, Iran. Fresenius Environmental Bulletin, 25(6), 2008-2017.

Masoudi, M., Asadifard, E., Rastegar, M., and Shirvani, A. 2017a. Status and prediction of sulfur dioxide as an air pollutant in Ahvaz City, Iran. Pollution, 3(2), 201-211.

Masoudi, M., Behzadi, F., and Sakhaei, M. 2017b. Concentration of NO2 in the Air over Tehran, Iran. Russian Meteorology and Hydrology, 42, 728–730.

Masoudi, M., and Gerami, M. 2017. Status of CO as an air pollutant and its prediction, using meteorological parameters in Esfahan, Iran. Pollution, 3, 527-537.

Masoudi, M., Gerami, M., and Behzadi, F. 2017c.  Status and prediction of ozone concentration in the air of Isfahan, Iran. Journal of Air Pollution and Health, 2(3), 159-168.

Masoudi, M., Rajaipoor, N., and Ordibeheshti, F. 2017d. Status and prediction of CO as an air pollutant in Shiraz, Iran. Fresenius Environmental Bulletin, 26, 3697-3704.

Masoudi, M., Behzadi, F., and  Sakhaei, M. 2018a. Status and prediction of sulfur dioxide as an air pollutant in Tehran, Iran.  EQA – Environmental quality, 28, 13-23.

Masoudi, M., and Gerami, M. 2018a. Assessment of PM10 Prediction and Concentration Using Meteorological Parameters in Isfahan, Iran. Jordan Journal of Earth and Environmental Sciences, 9 (2), 75-80.

Masoudi, M., and Gerami, M. 2018b. Status and prediction of NO2 as an air pollutant in Isfahan, Iran. Fresenius Environmental Bulletin, 27, 2743-2750.

Masoudi, M., Rajaipoor, N., and Ordibeheshti, F. 2018b. Status of PM10 as an air pollutant and prediction using meteorological indexes in Shiraz, Iran. Advances in Environmental Research, 7, 109-120.

Ozelkan, E., Karaman, M., Mostamandy, S., Uça Avcı, Z.D., and Toros, H. 2015. Derivation of PM10 Levels Using OBRA on Landsat-5TM Images: A Case Study in Izmir, Turkey. Fresenius Environmental Bulletin, 24, 1585-1596.

Sabah, A., Al-Rubiei, R. and Al-Shamsi, A. 2003. A statistical model for predicting carbon monoxide levels. International Journal of Environment and Pollution, 19, 209-224.

Sánchez-Ccoyllo, O.R., and Andrade, M.F. 2002. The influence of meteorological conditions on the behavior of pollutants concentrations in São Paulo, Brazil. Environmental Pollution, 116(2), 257–263.

Sharma, B.K. 2001. An Introduction to environmental pollution. Krishna prakashan media (p) ltd, p.456.

Wang, S.M., Yu, H., Song, L., Xie, Y., and Zhu, Q. 2015. Air quality in a mountainous city: A case study in Chongqing, China. Fresenius Environmental Bulletin, 24 (9), 2699-2706.

Yoo, J.M., Lee, Y.R., Kim, D., Jeong, M.J., Stockwell, W.R., Kundu, P.K., Oh, S.M., Shin, D.B., and Lee, S.J. 2014. New indices for wet scavenging of air pollutants (O3, CO, NO2, SO2, and PM10) by summertime rain. Atmospheric Environment, 82, 226-237.

آمار
تعداد مشاهده مقاله: 572
تعداد دریافت فایل اصل مقاله: 483


سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب