بررسی تغییرات غلظت ذرات PM10و تأثیر پارامترهای هواشناسی بر آن در سال 1392 (مطالعه موردی: شهر زاهدان)

نوع مقاله: مقالات پژوهشی

نویسندگان

1 کارشناس ارشد، گروه آلودگی های محیط زیست، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان، اصفهان، ایران.

2 کارشناس ارشد، گروه برنامه‌ریزی محیط زیست، دانشکده محیط زیست، دانشگاه تهران، تهران، ایران.

3 استادیار، گروه برنامه‌ریزی، مدیریت و آموزش محیط زیست، دانشکده محیط زیست، دانشگاه تهران، تهران، ایران.

چکیده

زمینه و هدف: ذرات معلق، اثرات منفی بسیاری بر سلامتی انسان­ ها و گیاهان و همچنین نقش بسیار مهمی در تغییرات آب و هوای جهانی دارند. با توجه به این که پارامترهای هواشناسی می­توانند بر میزان غلظت و پراکنش آلاینده­ها از جمله ذرات معلق مؤثر باشند، مطالعه حاضر با هدف بررسی تغییرات روزانه، ماهانه و فصلی غلظت PM10 در فصول بهار، تابستان و پاییز و بررسی تأثیر پارامترهای هواشناسی بر میزان غلظت PM10 در فصول بهار، تابستان و پاییز انجام شد.
مواد و روش‌ها: در این تحقیق، ابتدا تغییرات روزانه، ماهانه و فصلی غلظت PM10 در سال 1392 بررسی شد. سپس درجۀ ارتباط بین PM10 با پارامترهای هواشناسی توسط همبستگی پیرسون(Pearson correlation) مورد تجزیه و تحلیل قرار گرفت. همچنین به منظور پیش­بینی غلظت PM10 از مدل رگرسیون استفاده شد.
یافته‌ها: بر اساس نتایج مطالعه در بررسی میانگین روزانه غلظت PM10 در طول دوره مورد مطالعه، بیشترین غلظت PM10 در 22 مرداد 1392 (µg/m3 1077) و کمترین غلظت آن در 8 فروردین 1392 (µg/m3 42) بوده است. همچنین میانگین ماهانه نشان می­دهد بیشترین غلظت در ماه مرداد (µg/m3 301/06) و کمترین غلظت در آبان ماه (µg/m3 152/16) بوده است. از نظر غلظت فصلی، بیشترین غلظت ذرات معلق (µg/m3 272/76) در فصل تابستان مشاهده می‌شود. بر اساس نتایج ، ذرات معلق با دما و سرعت باد همبستگی مستقیم، و با بارش و رطوبت نسبی همبستگی معکوس دارد.
نتیجه‌گیری: بارش و رطوبت نسبی تأثیر معکوس، ولی دما و سرعت باد تأثیر مستقیم بر روی میزان غلظت ذرات PM10 دارند. همچنین میزان ضریب تشخیص در مدل رگرسیون، حاکی از آن است که 13، 25 و 6 درصد از تغییرات PM10 به ترتیب در فصول بهار، تابستان و پاییز، به­وسیله پارامترهای هواشناسی استفاده شده در این مدل تشریح می­شوند. با توجه به نتایج فوق می­توان گفت که شرایط هواشناسی نامطلوب ممکن است به افزایش غلظت PM10 منجر شود.

کلیدواژه‌ها


عنوان مقاله [English]

Investigation of PM10 particles concentration changes and influence of meteorological parameters on it in year 2013 (Case study: Zahedan)

نویسندگان [English]

  • Mohammad Reza Atabaki 1
  • Mohammad Sakhaei 2
  • Hassan hoveidi 3
  • Mohammad Pooteh rigi 2
  • Ehsan Karimimanesh 2
1 M.Sc. Department of of Environmental pollution, Department of natural resources, Isfahan university of technology, Isfahan, Iran.
2 M.Sc. Department of Environmental planning, Faculty of Environment, University of Tehran, Tehran, Iran.
3 Assistant Professor of environmental planning and management, Faculty of Environment, University of Tehran, Tehran,Iran.
چکیده [English]

Introduction: suspended particles has numerous negative effects on human health and plants.it plays an extremely important role in global climate change as well.
Objective:In this survey, variations and influence of meteorological parameters on the concentration of PM10 concentrations were studied.
Methods: In this study, first, daily, monthly and seasonal concentrations variation of PM10 were investigated. Then, the degree of correlation between PM10 and meteorological parameters were analyzed by Pearson correlation. Also regression model was used to predict PM10 concentration.
Findings: Daily average PM10 concentration during the study period indicates that the highest concentration was in the 22nd August (1077 µg/m3) and the lowest in the 8th march (42 µg/m3). It also shows the monthly average concentration was in August (301/06 µg/m3), While the lowest concentration is accounted November (152/16 µg/m3). Seasonal concentration showed that the highest concentrations are in the summer (272/76 µg/m3). Pearson correlation coefficient analysis shows that particulate matter has a direct correlation with temperature and wind speed, while reverse correlation with precipitation and atmospheric pressure.
conclusion: Based on the results of Pearson correlation, it was found that rainfall and relative humidity have adverse effects but the temperature and wind speed have a direct impact on the concentrations of PM10. So that the increased rainfall will reduce the concentration of PM10. While the temperature and the wind speed increases the concentration of suspended particles. Also, the coefficient of determination in the regression model Suggests that 13, 25 and 6 percent of PM10 changes in spring, summer and fall are explained by meteorological parameters used in the model. Based on these results we can say that adverse meteorological conditions may lead to increased concentrations of PM10.

کلیدواژه‌ها [English]

  • “Air Pollution”
  • “PM10”
  • “Meteorological Parameters”
  • “Linear modeling”
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