Net-cost model for workplace interventions

PROBLEM: Few methods exist for comprehensively examining the costs and benefits of ergonomic interventions applicable to a variety of economic sectors and settings. METHODS: An instrument for data collection and data analysis at the facility level is presented. In this net-cost model intervention costs are defined by equipment and labor costs for the interventions as well as the avoided costs of lost work time, medical care, and productivity improvements. RESULTS: Net-cost estimates for three case studies show that ergonomic interventions applied appropriately can result in substantial cost savings for the companies. DISCUSSION: It would be prudent to incorporate a protocol for collecting cost and effectiveness data in the standard operating procedures of companies introducing ergonomic interventions. Validation of the net-cost model through prospective studies is necessary. IMPACT ON INDUSTRY: This model may be used to determine the net-cost of implemented or proposed ergonomic interventions in industrial facilities.     

Assessment of cropland inundation due to the operation of the Reelfoot Lake spillway in West Tennessee

Running Reelfoot Bayou (RRB) is the outlet canal of Reelfoot Lake, the largest natural lake in Tennessee. RRB is not able to contain discharge from Reelfoot Lake greater than the bankfull discharge of 28 m³/s (1000 ft³/s), which typically occurs at the beginning of the growing season (April–June). Historically, the planting of crops has been delayed until flooding subsides and cropland has drained. The objective of this study is a preliminary quantification of cropland inundation to determine its spatial distribution in the RRB floodplain. Inundated croplands in the RRB floodplain were delineated over a range of spillway discharges from 2 to 57 m³/s (70–2000 ft³/s), using one-dimensional–two-dimensional hydrodynamic modeling and multispectral satellite images (Landsat 8 and Sentinel-2). The composite maps made by combining the simulated and image-derived flood maps were overlaid on the United States Department of Agriculture CropScape layer to determine the inundation of individual summer crops during the growing season. About 25% of the inundated croplands are flooded at discharges of RRB less than 28 m³/s, implying wetland hydrology. The results of this analysis can be used to inform operational management of the Reelfoot Lake spillway.     

Effect of co-culturing of methanogens with sulphur-reducing bacteria on biomethanation

Biomethanation as a result of co-culturing methanogenic bacteria with sulphate-reducing bacteria was studied under anoxic conditions. Toxic sulphur compounds are known not to inhibit methanogenesis. Hence varying experimental conditions can lead to the optimum conditions for biomethanation. Under controlled experimental conditions, the interacting behaviour of both isolated methanogens and sulphate reducers show interesting features, viz. allelopathy.     

An econometric model of wastepaper recycling in the USA

A simultaneous model describing the demand for and supply of wastepaper in the USA during 1952-74 has been estimated using the three stage least squares procedure. In our analysis, a low supply elasticity coupled with a zero price elasticity of demand explains the volatile nature of wastepaper prices. The structural estimates indicate that neither the elimination of differential rail freights nor the elimination of preferential tax treatment of stumpage profits will have a significant effect in stimulating the recycling effort.     

Water quality of the River Ganga (The Ganges) and some of its physico-chemical properties

Summary The water qualities of the River Ganga (The Ganges) over a short stretch from Swarupganj to Barrackpore (in West Bengal) have been determined and are compared with the values reported by the National Environmental Engineering Research Institute of India for the periods 1972–74 and 1979–80. The water quality is generally bad, but not at such alarming levels as previously determined by other agencies. Biochemical and chemical oxygen demand (BOD and COD) levels are high but within tolerable limits. Dissolved oxygen (DO) levels are are fairly high, indicating a reasonable self-purifying capability for the River Ganga. However, nutrient loads containing N and P have increased enormously in recent years.     

Methane emission from rice paddy soils, aerotolerance of methanogens and global thermal warming

In vitro methane emissions from different rice paddy soils and algal mats were studied under anoxic and atmospheric conditions. Methane production from rice paddy soils cultivating different strains of rice was found to be appreciable under anoxic conditions, but considerably reduced under atmospheric conditions, and dependent on rice cultivars (strains). A contradictory result was obtained with a Gobindabhog cultivated rice field (a strain of rice with aroma), where methane yield under anoxic was greater than that under atmospheric conditions. The results indicated aerotolerance of methanogens or the possible existence of microaerophilic methanogens. The results from algal mats corroborated these findings.Methane has been considered to be an important greenhouse gas contributing significantly to global thermal warming (GTW). Flooded rice paddy fields have been considered to be a most prominent source of abiogenic methane emission, though considerable uncertainty exists regarding the true estimates of methane emission. Factors affecting methane emission and its abatement have been examined. In spite of increasing methane emission, rice cultivation leads to enormous utilization of the green house gas carbon dioxide and release of oxygen to the atmosphere. Thus, the contribution of methane to GTW (from rice paddy cultivation) is more than compensated by carbon dioxide absorption.Appropriate steps have been suggested for the reduction of methane emissions, the most important of which is the restoration of methane sinks.     

Modeling and multi-objective optimization of commercial ethylene oxide reactor to strike a delicate balance between profit and negative environmental impact

Environmental Science and Pollution Research - The present work emphasizes the development of a generic methodology that addresses the core issue of any running chemical plant, i.e., how to...     

Enhancement of nutritional value of fried fish using an artificial intelligence approach

Frying affects the nutritional quality of fish detrimentally. In this study, using Catla catla and mustard oil, experiments were carried out in varying temperatures (140–240 °C), times (5–20 min), and oil amounts (25–100 ml/kg of fish) which established drastic reduction of 44.97% and 99.40% for polyunsaturated fatty acid (PUFA)/saturated fatty acids (SFA) and index of atherogenicity (IA) profile, respectively. Artificial neural network (ANN) was implemented successfully to provide an association between the independent inputs with dependent outputs (values of R² were 0.99 and 0.98; RMSE were 0.038 and 0.046; and performance were 0.038 and 0.067 for PUFA/SFA and IA, respectively) by exhaustive search of various algorithms and activation functions available in literature. ANN model–based meta-heuristic, stochastic optimization formalisms, genetic algorithm (GA) and particle swarm optimization (PSO), were applied to optimize the combination of cooking parameters for improving the nutritional quality of food which improved the nutritional value by maximizing the PUFA/SFA profile up to 63.05% and minimizing the IA profile to 99.64%. Multi-objective genetic algorithm (MOGA) was also employed to tune the inputs by maintaining a balance between the contrasting outputs and enhance the overall food value simultaneously with multi-objective (beneficial for health, economic, and environment-friendly) proposal. MOGA was able to improve the PUFA/SFA profile up to 44.76% and reduce the IA profile to 92.94% concurrently with the reduction of wastage of culinary media and energy consumption, following the optimized cooking condition (118.92 °C, 6.06 min, 40 ml oil/kg of fish).