بررسی نقش گیاهان پوششی(چمن)در بهبود دمای معادل فیزیولوژیکی و رطوبت نسبی(منطقه ی مورد مطالعه:استادیوم دانشگاه تبریز)

نوع مقاله : مقاله پژوهشی

نویسندگان

گروه برنامه ریزی شهری و منطقه ای، دانشکده برنامه ریزی و علوم محیطی، دانشگاه تبریز

چکیده

اهداف: هدف این پژوهش در جهت بررسی تاثیرات گیاهان پوششی(چمن) در بهبود میکرواقلیم می‌باشد.
مواد و روش ها: این پژوهش به صورت میدانی ،تحلیلی و سنجشی،با روش تحلیل مقایسه گزینه های پیشنهادی در طراحی با استفاده از شبیه سازی در نرم افزار6-4-4 ENVI-MET و نرم افزار 3.1 Ray Manدر دو الگوی متفاوت در یک سایت ثابت ،به مدت 8 ساعت(10:00تا18:00) در تاریخ 10 تیر 99به عنوان گرم ترین روز سال صورت گرفت؛ اعتبارسنجی این پژوهش با مقایسه مقادیر پارامترهای خروجی مدل با اندازه‌گیری‌های میدانی انجام گرفته است.
یافته ها:نتایج، حاکی از عملکرد بهینه الگوی کاشت گیاه پوششی( چمن ) در مقایسه با عدم وجود پوشش گیاهی ،در بهبود آسایش حرارتی و کاهش دمای فیزیولوژیکی می باشد؛ چراکه سبب افزایش رطوبت نسبی به مقدار0.06 درصد و کاهش شاخص آسایش محیطی(PMV) 0.005 و همچنین ،کاهش دمای معادل فیزیولوژیکی(PET) ، 0.23 درجه ی سانتی گراد شده است،بطور کلی شبیه سازی صورت گرفته، ساعات 11:00،12:00،18:00 بهینه ترین عملکرد پوشش گیاهی(چمن) را از نظر بهبود شرایط میکرواقلیم و ساعات 14:00،15:00،16:00ضعیف ترین عملکرد را شامل می‌شود.
نتیجه گیری:بطورکلی در نتایج حاصل از پژوهش صورت گرفته، نشان از تاثیر مثبت یک گونه گیاهی پوششی (چمن)، در یک سایت مشخص که در اطراف ان گونه ی گیاهی دیگری وجود ندارد می تواند در تعدیل دما ،افزایش آسایش محیطی موثر واقع شود،برهمین اساس در منظر شهری برای بهبود از نظر آسایش محیطی و بصری، می توان از ترکیب کاشت درختان ،همراه با گیاهان پوششی و بهره مندی از الگوهای کاشت اصولی وترکیبی، تاثیرات اقلیمی را سیستماتیک‌تر و هدفمندتر کرد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Investigating the role of cover plants (grass) in improving the physiological equivalent temperature and relative humidity (study area: Tabriz University Stadium)

نویسندگان [English]

  • Akbar Rahimi
  • Zahra Nobar
Academic member
چکیده [English]

The aim of this research is to investigate the effects of cover plants (grass) in improving the microclimate.
Data collection methods include field analytical, and quantitative, with a comparative analysis method of proposed design options using simulation in ENVI-met software (4.4.6) and Ray-Man 3.1 in two different patterns at the same site for a period of 8 hours (10:00 to 18:00), which took place on June 30, 2020, as the hottest day of the year; The research was also validated by comparing the model's output parameter values with field measurements.
The results indicate the optimal performance of the pattern of green cover(grass) compared to the absence of it in improving thermal comfort and reducing physiological temperature. Because it has caused an increase in relative humidity of 0.06% and a decrease in the environmental comfort index (PMV) by 0.005, as well as a decrease in the physiological equivalent temperature (PET) by 0.23 degrees Celsius, the hours of 11:00, 12:00, and 18:00 contain the best performance of vegetation (grass) in terms of enhancing micro-climate conditions, whereas the hours of 14:00, 15:00, and 16:00 include the worst performance in terms of effective micro-climate alterations. The average change in physiological temperature in the most optimal and worst hours of operation is equal to 4.68 degrees Celsius, and these changes in the relative humidity index are equal to 0.45%.

کلیدواژه‌ها [English]

  • Thermal comfort, "
  • "ENVI-MET"
  • "urban climate"
  • "PMV index"
  • " simulation"
  • "Ray Man

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