مورد إلكتروني
Analysis of the variability of airborne particulate matter with prevailing meteorological conditions across a semi -urban environment using a network of low-cost air quality sensors
| العنوان: | Analysis of the variability of airborne particulate matter with prevailing meteorological conditions across a semi -urban environment using a network of low-cost air quality sensors |
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| بيانات النشر: | Stockholms universitet, Institutionen för miljövetenskap Obafemi Awolowo University. Nigeria 2020 |
| تفاصيل مُضافة: | Omokungbe, Opeyemi R. Fawole, Olusegun G. Owoade, Oyediran K. Popoola, Olalekan A. M. Jones, Roderic L. Olise, Felix S. Ayoola, Muritala A. Abiodun, Pelumi O. Toyeje, Adekunle B. Olufemi, Ayodele P. Sunmonu, Lukman A. Abiye, Olawale E. |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | The concentrations of fine and coarse fractions of airborne particulate matter (PM) and meteorological variables (wind speed, wind direction, temperature and relative humidity) were measured at six selected locations in Ile Ife, a prominent university town in Nigeria using a network of low-cost air quality (AQ) sensor units. The objective of the deployment was to collate baseline air quality data and assess the impact of prevailing meteorological con- ditions on PM concentrations in selected residential communities downwind of an iron smelting facility. The raw data obtained from OPC-N2 of the AQ sensor units was corrected using the RH correction factor developed based k -Kohler theory. This PM (corrected) fast time resolution data (20 s) from the AQ sensor units were used to create daily averages. The overall mean mass concentrations for PM2.5 and PM10 were 213.3, 44.1, 23.8, 27.7, 20.2 and 41.5 mu g/m(3) and; 439.9, 107.1, 55.0, 72.4, 45.5 and 112.0 mu g/m(3) for Fasina (Iron -Steel Smelting Factory, ISSF), Modomo, Eleweran, Fire Service, O.A.U. staff quarters and Obafemi Awolowo University Teaching and Research Farm (OAUTRF), respectively. PM concentration and wind speed showed a negative exponential distribution curve with the lowest exponential fi t coef ficient of determination (R-2) values of 0.08 for PM2.5 and 0.03 for PM10 during nighttime periods at Eleweran and Fire service sites, respectively. The relationship between PM concen- tration and temperature gave a decay curve indicating that higher PM concentrations were observed at lower temperatures. The exponential distribution curve for the relationship between PM concentration and relative humidity (RH) showed that PM concentrations do not vary for RH 80 % while stronger relationship was noticed with higher PM concentration for RH 80 % for both day and nighttime. The performances of the MLR model were slightly poor and as such not too reliable for predicting the concentration but useful for improving pre |
| مصطلحات الفهرس: | Low-cost AQ sensors, Meteorological variables, Particulate matter, Multiple linear regression (MLR), RMSE, Iron smelter, Atmospheric science, Environmental analysis, Environmental assessment, Environmental impact assessment, Environmental pollution, Earth and Related Environmental Sciences, Geovetenskap och miljövetenskap, Article in journal, info:eu-repo/semantics/article, text |
| DOI: | 10.1016.j.heliyon.2020.e04207 |
| URL: | Heliyon, 2020, 6:6 |
| الإتاحة: | Open access content. Open access content info:eu-repo/semantics/restrictedAccess |
| ملاحظة: | English |
| أرقام أخرى: | UPE oai:DiVA.org:su-183677 0000-0001-5137-4940 0000-0002-4969-9591 doi:10.1016/j.heliyon.2020.e04207 PMID 32577574 ISI:000545793800020 1235056050 |
| المصدر المساهم: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1235056050 |
| قاعدة البيانات: | OAIster |
| DOI: | 10.1016.j.heliyon.2020.e04207 |
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