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The study investigated the heavy metal flux around the vicinity of a steel recycling factory using passive biomonitoring technique with several pollution indices to assess the quality of the ambient environment.

The vegetation around the facility was identified, and the most abundant species were selected for analysis. The collected samples were dried, milled, sieved and analyzed for elemental composition using energy dispersive X-ray fluorescence (ED-XRF). Pollution indices were used to quantitatively assess the data.

Results show that maximum contamination occurs at the vicinity of factory. Generally, the deterioration of the ambient air around the vicinity of the steel recycling plant decreases with increasing distance from the steel recycling plant. However, for the radius considered in this study – 1 km, the ambient air at 1 km of the steel recycling facility is quickly deteriorating, and there is an urgent need for measures to mitigate the air quality impact of the steel recycling facility.

The study shows that the metal recycling process emits high levels of heavy metals to the environment, and there is an urgent need for personal protective equipment for the human population working in and around the close proximity of the recycling plant.

Despite the growing popularity of online secondhand platforms globally, there is a lack of studies exploring how consumers worldwide perceive contamination and the use of secondhand goods differently according to the culture. Based on the consumer contamination theory, this study aims to investigate the cultural differences of South Koreans and Americans by examining three variables (e.g. transaction type, ownership duration and physical attractiveness) related to consumers' perception of contamination and purchase intentions for a secondhand apparel item.

Data were collected from 422 US and South Korean female consumers who were assigned to an experimental scenario, and their secondhand purchase intentions and perceived contamination were compared through independent t-tests and moderated regression analyses.

Consumers' purchase intentions increased, and perceived contamination decreased when the transaction type was business-to-consumer (vs consumer-to-consumer), when the item had been owned for a shorter period of time and when the item was sold by an attractive seller. Such effect was more pronounced for South Korean consumers than the US consumers in the negative contamination contexts (i.e. transaction type, ownership duration), but not in the positive contamination context (i.e. attractiveness).

The findings of the study add to the literature on consumer contamination theory through an examination of several negative and positive contamination factors in retail contexts and highlight the role of culture as a critical moderator.

The elevated level of nitrate in groundwater is a serious problem in Texas aquifers. To control and manage groundwater quality, the characterization of groundwater contamination and identification of the factors affecting the nitrate concentration of groundwater are significant. The purpose of this paper is to determine factors which have significant impacts on the elevated groundwater nitrate concentrations of the Southern High-Plains and the Edwards-Trinity aquifers.

The characterization of groundwater nitrate contamination was undertaken by analyzing the hydrochemical data of groundwater within a statistical framework. The multivariate statistical analysis (ordinary least square) and geographically weighted regression (GWR) models were used to study the relationship between groundwater nitrate contamination and land use of the study areas.

Results show groundwater nitrate contamination is typically due to an overapplication of N fertilizers to cotton in the Southern High-Plains aquifer and to grassland in the Edwards-Trinity aquifer. Adjusted R² (0.45) explains variations of nitrate concentration by well-depth, cotton production, shrubland and grassland in the Edwards-Trinity aquifer. The results of an analysis of variations in N concentration with well depth for all 192 wells indicate that nitrate concentrations in water from wells in the Southern High-Plains and Edwards-Trinity aquifers tend to decrease with increasing well-depth.

In this study, the GWR model was built to identify nitrate concentration within a geographic framework to ensure sustainable use of groundwater, which is important for local management purposes. The analysis should include local spatial variations of elements such as hydrologic characteristics and the land use activities if groundwater nitrate contamination causes adverse effects on human and ecosystem health.

The wear of a machine element, whether it is due to fatigue or abrasive wear, will add contaminants in the form of particulates to the system. If a machine element is starting to wear out it will produce a large amount of particles and it will finally break down. Since this can be very costly, one can establish the need to monitor the system so that one can foresee failure. There are many different ways to monitor a system, e.g. measurements of the temperature, pressure, vibrations and the degree of contamination. The purpose of contamination control is to extend the life of a component and thereby save money. When monitoring a system it is very important that the monitoring control instrument should give the right output. One important factor in achieving this is the withdrawal of a representative oil sample. In this paper an investigation of where and how to take a representative sample is performed using Stokes’ law and the migration of spheres in a channel. A generalised sedimentation chart for different oils and particles is introduced. Sampling routines for proper sample withdrawal are also presented.

New, undestroyed greases of the same brands as those used in a field test, described in Part 1, were examined using conventional methods, such as the SKF V2F test, the roll stability test (ASTM D‐1831), the Grease Worker (ASTM D‐217), the torque test (ASTM 1478‐91), bleeding measurements ( IP 121), yield stress measurements, the 4‐ball test (ASTM D 2266‐86), base oil viscosity measurements, thickener content and the cone penetration test (ASTM D217‐88). The greases have also been tested with several new test methods developed at the University. A specification for relevant testing methods was drawn up and the connections between the tested parameters were investigated. It was found that the mechanical stability could be predicted with a combination of ASTM D‐1831 and the limiting shear stress coefficient γ. This coefficient is capable of predicting wear. It was found that the bearing temperature could be predicted by using the base oil viscosity.

The purpose of this study was to investigate whether the layout has an effect on cross-contaminations levels at farmers markets.

We used social cognitive theory's triadic reciprocity model to investigate how influencing the environment could change the behaviors of farmers’ market consumers and reduce the risk of microbial cross-contamination using a Fluorescent Compound (FC). For this purpose, a 3 × 2 experimental between-subject factorial design was utilized in this study: three farmers market layouts (i.e. U-shaped [U-S], L-shaped [L-S] and square-shaped [S–S]) and two different set-ups per market (i.e. produce and non-produce vendors completely separated, and alternating produce and non-produce vendors). FC was utilized to simulate microbial contamination on the participants (n = 54) hands. The participants were allowed to walk through the layout for 3 min and touch items after which a total of 475 swab samples were processed and recorded for absorbance levels.

The results indicated that the cross-contamination level of the U-S market was significantly lower (p < 0.001) than those of the L-S and S–S markets. The best market layout and set-up based on the average levels of simulated cross-contamination were the U-S market, particularly with the A set-up, where produce and non-produce booths were scattered.

This study is the first to use the quantification of FC to identify the impact of a farmers’ market layout/design on cross-contamination levels. These results can be used to provide guidance to market managers on layout and design from a safety standpoint to reduce the risk of cross-contamination.

The purpose of this paper is to quantify elements that make fresh produce supply chains (FPSCs) vulnerable to disruptions and to quantify the benefits of different disruption-management strategies.

This paper develops a mathematical model of a disruption in a FPSC and analyzes the relationships among variables.

The model determines the optimal safety stock as a function of the perishability of the produce, the length of time it takes to find the contamination, the level of demand during the disruption, and the amount of produce that can be rerouted. Applying the model to the 2006 E. coli spinach contamination reveals that the drop in customer demand for fresh spinach plays the largest role in Dole losing sales.

The model includes several parameters that may be difficult to estimate. Future models can incorporate uncertainty that is inherent in supply chain disruptions.

The model in this paper can help a supply chain (SC) manager explore the trade-offs of different disruption-management strategies. For example, a SC manager can determine the value of holding additional safety stock vs trying to improve traceability in the SC.

This paper quantifies and models insights delivered in the qualitative analyses of FPSC disruptions. The theoretical contributions include an analysis of the interaction among safety stock, levels of demand, communication, and traceability parameters in order to help SC managers evaluate different strategies to mitigate the effects of contaminated produce.

“Location” is undoubtedly one of the most important factors in deciding whether or not to undertake a property development; however, when considering the redevelopment of a “brownfield” site it may be only one of a number of issues which need to be considered as part of the decision‐making process. Issues such as the environmental and economic cost of reclaiming or remediating land will assume an importance which does not exist with greenfield sites. The potential for harm, both to human beings and to the wider environment, will have to be considered, especially if any contamination is to be left on the site. Many brownfield sites are small in size, requiring the assembly of a number of sites, in different ownerships, in order to have a viable development project and they may also be plagued with problems such as inadequate access and obsolete services. The availability of tax incentives, or indeed penalties, to encourage brownfield redevelopment, together the possibility of obtaining insurance cover, will need to be factored into a valuation or development appraisal. This paper considers the issues to be considered as part of the decision making process. Some issues relate specifically to the assessment of risk, such as the potential for harms to humans, buildings or the environment, but taken altogether they should form part of a risk assessment strategy to determine the viability of development projects and the value, positive or negative, of brownfield development land. The paper reports on a survey of surveyors, developers and other professionals undertaken in the second half of 1998. It concludes that, while property professionals do not undertake a formal “risk assessment” procedure, they do take account of environmental as well as financial issues when deciding whether or not to proceed with the redevelopment of brownfield land.

The primary objective was to determine the prevalence of indicator microorganisms [Staphylococcus aureus, non-S. aureus staphylococci (NSAS), coliforms and aerobic bacteria] for contamination of chicken carcasses, carcass drip and rinse water from the informal chicken market in Gauteng, South Africa.

Chicken swabs, chicken drips and rinse waters were collected from 151 chickens from 47 random outlets. Pre-tested questionnaires were administered to capture the risk factors for bacterial contamination. Standard microbiological procedures were conducted for isolation and enumeration of target bacteria.

NSAS (64% and 41%) and S. aureus (12% and 31%) were prevalent on carcasses and in carcass drip respectively. Coliforms (62%) and aerobic bacteria (85%) were detected in rinse water. Significant risk factors for contamination of carcasses with NSAS, S. aureus and coliform organisms were: evisceration of chickens on the same location used for sale, cleaning of display counter with dirty clothes/wipes, holding of differently sourced chickens in the same cage prior to slaughter, not cleaning the display table/counter and hands at all, washing knives in rinse water, high turnover of daily slaughter and length of time to display chickens.

The limitations of this research were the limited geographical coverage and small sample size.

The isolation of these indicator microorganisms suggests the potential presence of other chicken-borne pathogens not tested for in the study.

The findings serve to inform policy on public health and street-vended food and can guide control on good sanitary practices.

This is the first comprehensive report on ready to eat chickens from the informal markets in Gauteng, South Africa.

One of the major concerns in the emerging phenomenon of collaborative consumption (CC) is the issue of contamination (i.e. feeling “grossed out” when sharing items with others). Guided by the law of contagion and the consumer contamination effect theory, this research investigated the ways in which companies can manipulate in order to reduce the negative contamination when renting or purchasing used fashion items from others. Specifically, this research examines this issue of contamination through the ownership type of the shared goods (e.g. corporate-ownership or B2C exchange, and consumer-ownership or C2C exchange) and its effect on consumers' CC intentions in two distinct sharing contexts (i.e. rental and secondhand purchase).

A total of 181 American female consumers were assigned to an experimental CC scenario, and their rental/secondhand purchase intentions were compared through ANCOVA analysis.

In both rental and secondhand purchase contexts, consumers displayed greater intentions to shop in B2C setting (i.e. corporate-ownership) with no direct contact with the previous owner, than in C2C setting (i.e. consumer-ownership) with a greater association with the previous owner and the shared items. Such inclination was more prevalent when purchasing a shirt than a handbag, suggesting that consumers feel more grossed out when there is greater physical contact with the shared item.

The findings of the study suggest a possible solution to alleviate the contamination effect, and the discovery of the degree of contact as a moderator provides new insight into contamination research.