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.

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 conditions 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 μg/m3 and; 439.9, 107.1, 55.0, 72.4, 45.5 and 112.0 μg/m3 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 fit coefficient of determination (R2) 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 concentration 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 % 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 predictive model accuracy when other variables contributing to the variability of PM is considered. The study concluded that the anthropogenic and industrial activities at the smelting factory contribute significantly to the elevated PM mass concentration measured at the study locations

Influence of scope of information resources on users’ satisfaction in university libraries in South-South Zone of Nigeria

The study was conducted to determine the influence of scope of information resources on users’ satisfaction in university libraries in South-South zone of Nigeria. Survey research method was adopted for the study. The population of the study consists of 83 library staff and 7426 lecturers in the 11 university libraries in the zone at the time of the study. A sample of 36 library staff and 4627 lecturers from 6 of the universities in the zone were used. The researchers used a questionnaire titled scope of information resources and users’ satisfaction (SIRUS) to collect data. Means and standard deviations were used in answering the research question while the hypothesis was tested using t-Test in IBM SPSS for Window version 20 at p = 0.05 level of significance. The findings revealed that there was significant influence of the scope of information resources on users’ satisfaction in university libraries in South-South zone of Nigeria. There is a strong indication from the study that users were not satisfied with scope of the information resources available in South-South Nigerian university libraries. It is therefore recommended that librarians should take cognizance of scope of the information resources in providing information resources for the libraries.Keywords: scope , Information, resources, users, satisfaction, university, libraries, Nigeri