کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10132188 1645554 2018 29 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling airborne indoor and outdoor particulate matter using genetic programming
ترجمه فارسی عنوان
مدل سازی ذرات داخل و خارج در هوای آزاد با استفاده از برنامه نویسی ژنتیکی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Airborne particulate matter (PM) is considered to be an essential indicator of outdoor and indoor air quality. In this study, indoor and outdoor PM1, PM2.5, PM10 concentrations were monitored at different locations within the Tehran University campus. It is found that 10% of PM1, PM2.5 and PM10 concentrations were higher than 36.11, 52.48 and 92.13 μg/m3 for indoors respectively. Genetic programming (GP) based methodology is implemented to identify the influence of outdoor PM on the indoor PM and established significant empirical models. The best GP model is identified based on fitness measure and root mean square error. It was observed that the GP based models are perfectly able to mimic the behavioural trends of outdoor particulate matter for PM1, PM2.5 and PM10 concentrations. The model predictions are very similar to the measured values and their variation was less than ± 8%. This analysis confirms the performance of GP based data driven modeling approach to predict the relationship between the outdoor particulate matter and its influence on the indoor particulate matter concentration.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sustainable Cities and Society - Volume 43, November 2018, Pages 395-405
نویسندگان
, , , , , , , ,