Environmental noise pollution affects not only the quality of life, but it poses a serious health and social problem. The Cirrus integrating averaging sound level instrument: model CR262A was employed to determine the noise levels at the twenty-two (22) selected sampling stations. The measurement of the noise was carried out during the morning, afternoon, and evening periods, to evaluate noise pollution within the twin city.Results indicated that there is no much difference (p>0.05) in the mean noise values within the different periods of the day at each sampling station, but there is significant variation (p<0.05) in the mean noise values at each period of the day over all the sampling stations. The results of the noise measurement showed that Enerhen Junction and NNPC Complex recorded the highest and lowest overall noise values of 84.84+5.39 dB(A) and 70 .90+2.98 dB(A) respectively. The results of this survey showed that the noise values at all the measurements points within Warri and Effurun metropolitan cities and at all the periods of the day is more than the Nigeria Federal Ministry of Environment (NFMEnv) and World Health Organization (WHO) permissible limit of 55dB daily noise level criteria for residential areas. The ssurvey requires the need to enact and enforce permissible noise levels/standards for residential neighbourhoods of 55dB by relevant environmental authorities both at Federal and state levels instead of applying 90dB standard meant for regulations in industrial settings.

This study was carried out to evaluate the workstations of Petroleum Training Institute computer village users (operators) by randomly selecting thirty shops with sixty-five operators. Statistical Packages for Social Sciences (SPSS) version 25 was used to analyze the operator's anthropometric data, which was collected by measuring various body dimensions. The existing furniture measurements in the randomly selected 30 businesses were also measured using measuring tape, and the design was evaluated using an assessment checklist. Questionnaires were employed to assess the participant's body locations of discomfort. This investigation discovered a misalignment between existing store furniture design and operator anthropometric data. Also, operators in this computer village of the study experienced musculoskeletal disorders with the highest prevalence of shoulder (3.02±0.779), followed by eye (3.00±0.832), lower legs (2.98±0.828), nape (2.91±0.766), fingers (2.85±0.662) and the wrists (2.56±0.998). The study hypothesis was tested with Chi-square statistics at 5% level of significance with P-value of 246.22 which falls within the acceptance region, hence accepting the Ho and rejecting the Ha. These results show that the existing furniture was planned or acquired without taking into account the user's anthropometric data, which is why the participant developed musculoskeletal disorder. Therefore, additional research should be conducted for the development of shop furniture in accordance to the anthropometry data of the user community.