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The purpose of this paper is to use rainwater quality parameters as indicators of pollution to assess the level of aerial pollution for sustainable environmental development.

Rainwaters were collected in open spaces within commercial, industrial and residential areas in Ibadan metropolis, Nigeria during onset, peak and late rainy season. Values of NO₃⁻, NH₄⁺, Cl⁻, SO₄²⁻, pH, electrical conductivity, total dissolved solid, total acidity and total alkalinity were determined using certified wet chemistry procedures, whereas those of Ca²⁺, Na⁺, K⁺ and Mg²⁺ were measured using atomic absorption spectrophotometry.

Overall results showed that the concentrations of the physical parameters, anions and cations, were comparatively higher at the onset of the rainy period than the latter periods, indicating washout of the pollutants as the rainy season progressed. Results of Pearson correlation matrix and Cluster analysis results showed that many of the parameters have similar source(s). Analysis of variance and t-test results indicated significant difference between the concentrations of the analyzed parameters at different rainy periods, whereas ratio values of sea salt fraction were higher than non-sea salt fraction for all species, depicting anthropogenic influences.

From the findings, the study concluded that the quality of the rainwaters was substandard due elevated levels of most of the analyzed quality parameters; this method proved to be economical, effective and simple compared to the conventional methods; it also proved rainwater quality to be a reliable pointer of aerial pollution and the concept can be used to assess the pollution level of areas of similar settings.

This paper aims to examine the quality of the surface waters of the bitumen deposit area of Nigeria and also to establish the relationship between the deposit and the waters.

Physico-chemical parameters were measured using standard analytical procedures, while the elemental contents were determined using total reflection X-ray fluorescence spectroscopy. Data acquired were interpreted using statistical techniques – charts, t-test, pollution index (PI) and cross-plot analysis.

A river located close to the bitumen well contained the highest concentrations of metals that are known to be associated with hydrocarbon formation. Comparison of the levels of the analyzed parameters in the waters with their standard permissible limits showed that the levels of Cl−, SO₄2-, total alkalinity and Cr, Mn, Fe, Ni, Cu, Zn and Pb in the river very close to the capped bitumen well and big rivers were high and low in the small streams. This was corroborated by their pollution index values. Results of the cross-plot analysis of the waters-river close to bitumen well/bitumen (R2=0.5); small streams/bitumen (R2=0.8) and big rivers/bitumen (R2=0.2) showed moderate; strong and weak positive correlations respectively, suggesting moderate, strong and weak inter-element correlations respectively between the sets of waters and the Nigerian bitumen deposit, and also establishing relationships between the deposit and the surface waters.

The paper provides insight into the potability of the waters; establishment of the inter-element relationship between the bitumen deposit and the waters. These results can serve as a fingerprint for bitumen exploration elsewhere and for similar mineral deposit settings.

The quality of groundwater in the vicinity of petroleum products retailing stations in Ile-Ife, Nigeria was investigated with a view to providing valuable information on the organic and other physico-chemical parameters associated with the contamination of the groundwaters by petroleum products. The paper aims to discuss these issues.

Three sets of samples were collected per season from artesian wells within petroleum products retailing stations for polycyclic aromatic hydrocarbons (PAHs), trace metals and other physico-chemical parameters analysis. Extraction, cleaned-up and concentration of the PAHs were done using certified analytical methods. Levels of the PAHs and metals were determined using gas chromatography coupled with flame ionization detector and bulk scientific atomic absorption spectrophotometer, respectively, while other pollution indicators were measured using standard analytical procedures.

The groundwaters contained elevated levels of PAHs, Cu, Zn, Mn, Pb, Cr, V, Ni, Fe and total dissolved solids than their maximum allowable limits for drinking water. Analysis of variance (ANOVA) results confirmed that both seasonal variation and location had much influence on the levels of most of the analyzed parameters. Some of the parameters showed strong positive correlation with each other, while Cr/Pb and Na/Pb displayed strong negative correlation with each other, indicating similar source(s) and/or chemical affinity and vice versa, respectively. Cross-plot analysis results using metals and PAHs concentrations as variables showed significant positive correlations (R2=0.99) and (R2=0.60), respectively, suggesting similar source(s) of contamination of the two sets of samples.

The level of the groundwater contamination was an indication of indiscriminate discharge of petroleum products and/or underground tank leakage within the study areas.

The aim of this paper is to better understand the impact of petroleum production facilities on ambient air quality of host airshed.

Field measurements were taken daily for four consecutive months around petroleum production facilities in the Niger Delta area, of Nigeria, one of the world's important petroleum producing areas. Statistical analysis tool and air quality analytical tool known as the air quality index (AQI) were applied on the field data obtained.

The mean measured daily concentrations of both carbon monoxide (CO) and nitrogen dioxide (NO₂) between distances 50 and 500 m of petroleum flow stations were of the range 140 – 3400 μg/m3 and 23 – 1250 μg/m3 respectively. The AQI from measured CO concentrations in the study area ranged between 1 and 44, an indication of good AQI category with no known health effects but a need for cautionary statement. Similarly, over 97 percent of the measured concentrations of NO₂ were below 0.60 ppm which implies that the AQI of the host environment of the flow stations were below 200 with respect to NO₂ thus indicating a good category of air with no health alarm. However, at the 60 m distance around a flow station, the AQI was 210 thus the quality of available air at this point could be described as very unhealthy. Generally the concentrations of CO were higher than NO₂ in all the distances from the flow stations and were corroborated with their significant T‐test values. The T‐test results of the relationship between the concentrations of the air pollutants per time of the day, showed that their T‐test values were not significant, indicating that concentrations of these air pollutants were independent of the sampling time. A strong and positive correlation existed between the two air pollutants signifying common sources.

The paper highlights that at 60 m distance around petroleum production facilities, people with respiratory or heart disease, the elderly and children should be prevented from gaining access in the morning without taking necessary precautionary measures against the inhalation of air pollutants.

Pomegranate (Punica granatum L.) fruit is highly valued for its delicious edible arils and health benefits. In this study, a comparative study on elemental composition of seven pomegranate cultivars was determined in the fruit rind, mesocarp and arils.

The concentrations of major elements (N, P, K, Ca, Mg, S, Cl and Na) and trace elements (Mn, Fe, Cu, Zn, B, Ni, Co, Cr, Pb, Cd, Se, Al, As, Li, Sr, Ti and V) were determined using an inductively coupled plasma optical emission spectrometry (ICP‐OES) calibrated with different concentrations of standard solutions of the minerals.

The highest amounts of N, P, S and Cl were found in Bhagwa cultivar, while Arakta, Ruby and Wonderful had the highest amount of Mg, Ca, and Na, respectively. P, Fe, Zn, Ti, V were more in quantity in the edible portion, while the other mineral elements were in larger proportions or in some cases were only found (Co, Al, As) in the non‐edible fractions of fruit. Among the major mineral elements investigated, P had the highest covering of the RDA, ranging from 6.78 to 8.53 per cent contribution to the RDA, followed by K (4.530‐4.95 per cent RDA), S (1.25‐1.54 per cent RDA), Ca (1.04‐1.54 per cent RDA), Mg (4.33‐5.26 per cent RDA), and Na (0.15‐0.17 per cent RDA).

Knowledge of the relative contributions of mineral elements in the edible fruit part (arils) to RDA will assist in nutrition planning against mineral deficiency.

Pomegranate fruit contains edible and non‐edible portions, and this study provided the first detailed report on the distribution of a wide range of trace and major mineral elements in the three parts of the fruit. This study also showed that the edible portion (arils) of pomegranate fruit is a good dietary source of essential nutrients such as K, Ca, Mg, and Se, while the non‐edible parts may provide valuable sources of minerals for other food and bioprocess industries.

Sustainable supply chain management (SSCM) ensures integration of socially, environmentally and economically feasible practices in entire supply chain. SSCM principles can be implemented to improve efficiency and productivity of a system by different attributes of the system. The purpose of this article is to identify the most appropriate existing (SSCM) framework that can be implemented suitably in Indian smart manufacturing industries.

Validity and reliability analysis on the existing SSCM frameworks was carried out with the help of empirical data collected using questionnaire survey methodology from various Indian smart manufacturing organizations. The empirical data were gathered from various experts from top- and middle-level management in different smart manufacturing organizations across the country. Further, factor analysis was carried on the collected data to estimate the unidimensionality of each SSCM frameworks. Cronbach's alpha value was used to assess reliability of each framework. Subsequently, the frequency distribution analysis was done to obtain familiar elements in the segregated frameworks based on validity and reliability analysis.

The work observed that only five SSCM frameworks have shown unidimensionality in terms of the elements or constructs. The work further found that these segregated frameworks have not shown sufficiently high level of reliability. Additionally, this work attempted frequency distribution analysis and observed that there were very few elements which were being repeatedly used in numerous frameworks proposed by researchers. Based on the findings of this work, the work concluded that there is acute need of a new SSCM framework for Indian smart manufacturing industries.

This study gathered empirical data from 388 Indian smart manufacturing organizations. Thus, before generalizing the findings of the study across the sectors, there is a possibility of some more explication.

The main purpose of this article is to explore the feasibility of the existing SSCM frameworks in Indian smart manufacturing sector. The study also assumes that the manufacturing managers and executives may have the complete understanding on the existing sustainable manufacturing frameworks and a chance to executing proper suitable framework in the respective manufacturing organization.

The cheapest and most rapidly available metal for agro‐processing equipment fabrication in Nigeria is plain carbon steel. However, there are some aggressive ions present in raw agricultural and food products, which may attack the steel components of these processing machinery, resulting in their untimely failure in service. The present study investigates the effect of fluid squeezed from cassava tuber on the corrosion behaviour of mild steel.

The investigation involved periodic weight loss measurements of 0.8 per cent carbon and 0.36 per cent carbon steel rods as they were exposed to cassava fluid. The relationships between loss in weight of the exposed samples and exposure period were determined. Models were developed to relate corrosion rate in each environment with total surface area and exposure period.

The results show that 0.36 per cent carbon steel was less affected by corrosion than 0.18 per cent carbon steel, with corrosion intensity in both cases, increasing with duration of immersion. Generally, there was low level of corrosion resistance (high corrosion rate) by the two steel materials. The correlation coefficient between the experimental values of corrosion rates and predicted values (using the developed models) was high.

In food and agricultural industries, product quality, health and sanitation issues are the major concerns. The industries cannot tolerate corrosion deposits in the manufactured products. Hence, material selection for machinery fabrication is essential. In line with this, the results of this study indicate that mild steel materials are unsuitable for use in cassava processing without some forms of surface treatment.

The purpose of this paper is to employ a system dynamics approach to develop a mathematical model for managing magnitude and risk factors of injuries in a manufacturing industry. This is to provide the decision makers with a systemic‐strategy to capture the transition of industries, especially manufacturing, into world‐class safe workplaces.

An accident investigation register was administered to capture needed data to estimate the model parameters and identify risk factors of injuries. The principle of system dynamics (SD) was employed to identify the relevant safety‐related components and their interrelationships. Applying the concept of causality analysis, causal loop and SD flow diagrams indicating how prevention activities may eliminate hazardous conditions were delineated and a mathematical model to predict the main variables involved in manufacturing safety programme was formulated.

The validity of the model was demonstrated using the observed data from accident investigation and register review; and a satisfactory agreement was found between the observed data and the model predictions.

The proposed model's attribute of predicting the probability of injuries or preventions is remarkable and thus, useful for managing sustainable safety control programmes.

This paper presents a manufacturing safety programme using equation‐oriented technique to predict the main variables required for managing magnitude and risk factors of injuries in a manufacturing plant.

Managing a safety programme and ensuring that change is in accordance with suitable performance measures requires continuing improvement in the support of analytical power and empirical information. This paper aims to consider different approaches and modeling efforts on safety performance evaluation.

Review and synthesis of literature.

Ten major safety performance evaluation approaches are identified including expectation function, risk assessment, statistical quality control, price deflation, engineering economic factor, system analysis, artificial intelligence, and systems theory. Based on the approaches, quantitative and qualitative models have been proposed. The quantitative models use measuring indicators such as frequency, severity, percentages, relative weight and economic gains/loss of safety programme. However, qualitative models employ hazard analysis and hazard operability.

Several research questions remain to be answered in order to completely improve and optimize the impact of these provisional safety performance measures.

This study offers a set of interesting lessons for academics, industry and safety practitioners by providing guidelines that will assist in ensuring a correct focus to select an appropriate safety performance evaluation model.

This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and willingness-to-repurchase which were rooted on Engel-Kollat-Blackwell (EKB) model. The study focuses on the domestic and international arrival of passengers at Murtala Muhammed International Airport in Lagos and Nnamdi Azikwe International Airport in Abuja. Information was gathered from domestic and foreign passengers who had post-purchase experience and had used the airline's services more than once. The survey data were obtained concurrently from arrival passengers at two major international airports using an electronic questionnaire through random and purposive sampling techniques. The data was analysed using the ordinal logit model and structural equation model. From the 606 respondents, 524 responses were received but 489 responses were valid for data analysis and reporting and were obtained mostly from economy and business class passengers. The study found that the quality of seat pitch, allowance of 30 kg luggage permission, availability of online check-in 24 hours before the departing flight, quality of space for legroom between seats, and the quality of seats that can be converted into a fully flatbed are the major service factors influencing willingness-to-repurchase economy and business class tickets. Also, it was found that passengers' willingness to repurchase is influenced majorly by service quality, but not necessarily influenced by satisfaction. These results reflect the passengers' consciousness of COVID-19 because the study was conducted during the heat of COVID-19 pandemic. Recommendations were suggested for airline management based on each class.