Modeling airborne indoor and outdoor particulate matter using genetic programming

被引：14

作者：

Kurri, Rama Rao ^{[1
]}

Heibati, Behzad ^{[3
]}

Yusup, Yusri ^{[4
]}

Rafatullah, Mohd ^{[4
]}

Mohammadyan, Mahmoud ^{[5
]}

Sahu, J. N. ^{[2
]}

机构：

[1] Univ Teknol Brunei, Petr & Chem Engn, Mukim Gadong A, Brunei

[2] Univ Stuttgam, Inst Chem Technol, Fac Chem, Stuttgart, Germany

[3] Massandaran Univ Med Sci, Hlth Sci Res Ctr, Student Res Comm, Sari, Iran

[4] Univ Sains Malaysia, Sch Ind Technol, Environm Technol, George Town 11800, Malaysia

[5] Mazandaran Univ Med Sci, Fac Hlth, Dept Occupat Hlth Engn, Hlth Sci Res Ctr, Sari, Iran

来源：

SUSTAINABLE CITIES AND SOCIETY | 2018年 / 43卷

关键词：

Air quality; Airborne particles; Particulate matter; Modeling; Genetic programming; LONG-TERM EXPOSURE; AIR-POLLUTION; PEDESTRIAN EXPOSURE; QUALITY; MORTALITY; ENVIRONMENT; ALGORITHMS; PARTICLE; REACTOR; PM10;

D O I：

10.1016/j.scs.2018.08.015

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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, PM2.5, 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 mu g/m(3 )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.

引用

页码：395 / 405

页数：11

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