Evaluation of PM2.5 Particulate Matter and Noise Pollution in Tikrit University Based on GIS and Statistical Modeling

Mohammed Hashim Ameen, Huda Jamal Jumaah, Bahareh Kalantar, Naonori Ueda, Alfian Abdul Halin, Abdullah Saeb Tais and Sarah Jamal Jumaah
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Mohammed Hashim Ameen: Department of Environmental Engineering, Engineering College, Tikrit University, Tikrit 34001, Iraq
Huda Jamal Jumaah: Department of Environment and Pollution Engineering, Technical Engineering College-Kirkuk, Northern Technical University, Kirkuk 36001, Iraq
Bahareh Kalantar: RIKEN Center of Advanced Intelligence Project, The Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo 970804, Japan
Naonori Ueda: RIKEN Center of Advanced Intelligence Project, The Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo 970804, Japan
Alfian Abdul Halin: Department of Multimedia, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Seri Kembangan 43400, Malaysia
Abdullah Saeb Tais: Department of Civil Engineering, Engineering College, Tikrit University, Tikrit 34001, Iraq
Sarah Jamal Jumaah: Department of Physics, College of Education for Pure Sciences, University of Kirkuk, Kirkuk 36001, Iraq

Sustainability, 2021, vol. 13, issue 17, 1-14

Abstract: In this paper, we assess the extent of environmental pollution in terms of PM2.5 particulate matter and noise in Tikrit University, located in Tikrit City of Iraq. The geographic information systems (GIS) technology was used for data analysis. Moreover, we built two multiple linear regression models (based on two different data inputs) for the prediction of PM2.5 particulate matter, which were based on the explanatory variables of maximum and minimum noise, temperature, and humidity. Furthermore, the maximum prediction coefficient R 2 of the best models was 0.82, with a validated (via testing data) coefficient R 2 of 0.94. From the actual total distribution of PM2.5 particulate values ranging from 35–58 μg/m 3 , our best model managed to predict values between 34.9–60.6 μg/m 3 . At the end of the study, the overall air quality was determined between moderate and harmful. In addition, the overall detected noise ranged from 49.30–85.79 dB, which inevitably designated the study area to be categorized as a noisy zone, despite being an educational institution.

Keywords: PM2.5; air quality; noise; silence zone area; GIS; linear regression (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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