Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township

This study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial location. The study involved empirical observation and interview of residents. About 652 questionnaires were administered randomly on the residents. Analysis involved descriptive statistical tools including chi-square techniques. The results suggest that air pollution was most frequently reported in Ewekoro and Ota and this can help in the prediction of stringent factor in which industrial activities could pose to society.


a b s t r a c t
This study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial location. The study involved empirical observation and interview of residents. About 652 questionnaires were administered randomly on the residents. Analysis involved descriptive statistical tools including chi-square techniques. The results suggest that air pollution was most frequently reported in Ewekoro and Ota and this can help in the prediction of stringent factor in which industrial activities could pose to society. &

Subject area
Environmental Science and Engineering More specific subject area Pollution and urban system Type of data Table, image How data was acquired For the purpose of these research works, a systematic sampling technique was used. This involved selecting every 10houses in Major Street and every 5 houses in Minor Street. In Ota, 20 major street and 13minor street was selected making a total of 320 for Ota and 332 questionnaire administered for Ewekoro township. Data format Raw, Analyzed Experimental factors A number of 68 streets were surveyed in the two study area where every 10 houses were selected at random in long streets and 5 houses in short street to make a total of 652 houses as the sample size.

Experimental features
The primary sources of data collection in this study involves the use of various methods of data collection of information such as the use of questionnaire, direct interviews, personal observation and the use of photographs. The data sources were utilized to ensure comprehensive exploration of this study. Data source location Ewekoro and Ota industrial zone Data accessibility Data are available within this article

Value of the data
The given data will show author in the field of environmental management and urban renewal the trend of pollution as it relate to industrial activities.
The data obtained can be used as inference to understand clearly the percentage distribution of respondents by socio-economic and physical characteristics The data can be used to examine the relationship between the different levels of disposition to various environmental hazards.

Data
In an attempt at appreciating the respondents perception on pollution generated from the industries, residents were asked to indicate their perceived causes in the study settings. Table 1 shows the percentage distribution of respondents by selected characteristics as reported by Refs. [1][2][3]. This include percentage distribution of respondent by age, sex, religion, educational qualification, average monthly income, type of property occupied and approximate distance between the factory site and individual houses. Age group 25-29 years has the highest proportion of the respondents in Ota (22%) and Ewekoro (31%). While male respondents were in majority in Ota (59%) female were in majority in Ewekoro (53%).
More so analysis shows that 89% of the respondents reported industrial causes as the major sources of pollution within their neighborhood while 7% of the study sample indicated other causes as presented in Tables 2 and 3. Respondents were asked to rate the various types of pollution in an attempt to confirm the different levels of disposition to various environmental hazards. The analysis in Table 4 shows that air pollution rated high prevalence with 50% in Ota and 54% in Ewekoro compared to noise pollution with 36% and 22% high prevalence. Water pollution has low rate with 5% in Ota and 11% in Ewekoro. The photo view of the rapid industrialised activities within the region is presented in Figs. 1 and 2.

Experimental design, materials and methods
Quantitative data collection method was used for this study. This strategy includes the use of questionnaire, direct interviews, personal observation and the use of photographs [3]. The data sources were utilized to ensure comprehensive exploration of the investigation. All the data collected for the purpose of this study were analysed using statistical techniques such as tabulations, bar-charts and histogram, frequency polygon, cross tabulations and photographs at univarate and bivariate Table 3 Data on the percentage distribution of respondents by types of pollution in Ota and Ewekoro.   Low  23  7  15  5  38  6  Medium  79  25  81  24  160  25  High  160  50  180  54  340  52  No response  54  16  55  16  109  17  Total  320  100  332  100  652  100   Noise pollution rate  None  6  2  2  0.6  8  2  Low  20  7  13  4  33  5  Medium  92  28  139  42  231  35  High  117  36  73  22  190  29  No response  85  26  105  31  190  29  Total  320  100  332  100  652  100   Water pollution rate  None  49  15  7  2  56  8  Low  76  23  69  21  145  22  Medium  45  14  64  19  109  16  High  17  5  57  17  74  11  No response  133  41  135  41  268  41  Total  320  100  332  100 652 100 levels of analyses was employed during the process of data analysis and presentation [4,5]. Chi square was used to determine the association between the perceived level of exposure and health conditions of the inhabitants as stated in the hypothesis. The study population include men and women aged 18years and above in Ota and Ewekoro township.