Physical and Economic Sustainability of Water: New Approach Using the Case of the Big Lost River,Idaho

A new approach for evaluating water sustainability is introduced by comparing physical and economic sustainability. To achieve physical sustainability, water should be available in sufficient quantity and of good quality and used efficiently. The economic sustainability can be achieved by balancing between costs and values of water. The objectives of this study were to estimate the physical and economic sustainability of surface water in the Big Lost River, south–central Idaho. The study used a Bayesian network by building a graphical diagram of nodes representing all significant variables related with the sustainability, such as water demand, water quality, and the different costs and values of water. The study showed that the likelihood of the physical sustainability is less than that of the economic sustainability, which is attributed to the scarcity of water in the Big Lost River. Readers should send their comments on this paper to: BhaskarNath@aol.com within 3 months of publication of this issue.     

Environmental Optimisation in Fractionating Industrial Wastes Using Contribution Margin Analysis as a Sustainable Development Tool

This paper describes a method of estimating the “true” internal costs of industrial waste, aimed at promoting environmentally friendly waste management. The study employs contribution margin analysis and a model – The Model for Efficient Use of Resources for Optimal Production Economy (EUROPE) – introduced by the author for assigning industrial costs to waste. In a business sense, waste is regarded as having the same basic status as any normal industrial product – the equality principle. Application of the method is suggested to create incentives for environmental improvement and profitability improvement in companies. Although the results of two case studies show the generation of waste to have a substantial negative impact on the final operating income, due to the internal shadow price costs it creates, this is regarded as an unavoidable consequence of the companies' acting in accordance with the principle of sustainable development. Readers should send their comments on this paper to: BhaskarNath@aol.com within 3 months of publication of this issue.     

Economic Modelling in Sustainability Science: Issues,Methodology, and Implications

Sustainability science is a new branch of human knowledge. It is necessary to model sustainability science based on a framework consisting of the interactions of society, ecology, the environment and the economy. This paper develops such a model, the SEEOSG model, containing the essential structural relationships that incorporate the environmental and economic conditions required for sustainability. The model is solved as a dynamic optimisation problem. This optimal growth model of ecology and economic growth enables us also to analyse the issues which are specific to sustainability science such as the ecologically sustainability and inter-generational equity implications of economic activities and policies. In the model results growth maximisation goals appear to be fraught with difficulties such as infeasibility and non-sustainability. The results also suggest also that an equilibrium ecological and economic system does not sustain over a very long period of time unless appropriate actions are taken. Readers should send thier comments on this paper to: BhaskarNath@aol.com within 3 months of publication of this issue.     

Primary Productivity and the Impacts of the Exotic Weed <Emphasis Type="Italic">Eupatorium Glandulosum</Emphasis> in a Montane Grassland of Garhwal Himalaya

Summary The biomass and productivity of a montane grassland of Garhwal Himalaya were estimated with the objectives to compare these values of the dominant exotic species, Eupatorium glandulosum HBK. (Asteraceae) with other species, and to compare the sites more dominated by this species with other study sites. The effect of dominance of this species on other species was undertaken because of its continuous spread in the grasslands of the Garhwal Himalaya causing replacement of some native grasses and economically important herbaceous plants. Out of six study sites, SW₁, SW₂, and NE₁ were more dominated by Eupatorium glandulosum. Total net primary productivity (TNP) ranged from 1528.5 to 2163.4 g m⁻² yr⁻¹. Eupatorium glandulosum showed individual highest biomass on all the study sites, and the sites more dominated by this species showed higher values of primary productivity, thereby reducing the biomass and production of other species on these sites.     

Thermal Solid State Reactions of Potato Starch with α-Hydroxy Acids

The numerous applications of dextrins resulting from the heating of potato starch with α-amino acids prompted me to check the thermal reactions of starch with hydroxy acids and their lactones, such as citric acid, lactic acid, tartaric acid, and coumarine. The course of reactions was observed by means of Simultaneous TG/DSC Thermal Analyser. The thermal reactions were carried out on convectional and microwave heating. The course of reactions under such conditions was compared and properties of resulting dextrins were recognized. The structure and properties of products were obtained from FTIR spectra, water solubility tests, and pH measurements. It was found, that hydroxy acids and/or products of their thermal transformations reacted with starch and/or resulting dextrins producing esters or crosslinking esterification of dextrins took place. The properties of new dextrins were presented in order to check, in further studies, their application for selective flotation of complex metal ores and their suitability as prebiotics.     

Methods Currently Used in Testing Microbiological Degradation and Deterioration of a Wide Range of Polymeric Materials with Various Degree of Degradability: A Review

Biodegradation of polymeric materials affect a wide range of industries, information on degradability can provide fundamental information facilitating design and life-time analysis of materials. Among the methods currently used in testing, traditional gravimetric and respirometric techniques are tailored to readily degradable polymeric materials mostly and polymer blends with biodegradable components, but they are not applicable to the new generation of engineering polymers which are relatively resistant to biodegradation. However, electrochemical impedance spectroscopy (EIS) has been tested for monitoring biodeterioration of high strength materials and the technique has very high sensitivity. A wide range of materials including electronic insulation polyimides, fiber-reinforced polymeric composites (FRPCs) and corrosion protective polyurethane coatings have been successfully measured under inoculation of degradative microorganisms using EIS. In addition, the mechanism of degradation of high strength polymers is mainly due to the presence of plasticizers in the polymer matrices. The information on various methods discussed in this review is intended to illustrate a suite of methods for those who are interested in testing biodeterioration of polymeric materials under different environmental conditions and in selecting appropriate techniques for specific applications.     

Thermally Induced Reaction of Potato Starch with Thiourea

Thermally induced reaction of thiourea with potato starch was carried out with involvement of either conventional or microwave heating. Under applied reaction conditions conventional heating provided a higher degree of transformation. The course of reaction was complex. Thiourea reacted with starch but the reaction products underwent further decompositions. Dextrins contaminated with isothiocyanates were obtained. Not necessarily they underwent alpha-amylolysis more readily than original starch.     

Prediction of potential areas of species distributions based on presence-only data

We introduce a methodology to infer zones of high potential for the habitat of a species, useful for management of biodiversity, conservation, biogeography, ecology, or sustainable use. Inference is based on a set of sites where the presence of the species has been reported. Each site is associated with covariate values, measured on discrete scales. We compute the predictive probability that the species is present at each node of a regular grid. Possible spatial bias for sites of presence is accounted for. Since the resulting posterior distribution does not have a closed form, a Markov chain Monte Carlo (MCMC) algorithm is implemented. However, we also describe an approximation to the posterior distribution, which avoids MCMC. Relevant features of the approach are that specific notions of data acquisition such as sampling intensity and detectability are accounted for, and that available a priori information regarding areas of distribution of the species is incorporated in a clear-cut way. These concepts, arising in the presence-only context, are not addressed in alternative methods. We also consider an uncertainty map, which measures the variability for the predictive probability at each node on the grid. A simulation study is carried out to test and compare our approach with other standard methods. Two case studies are also presented.     

Occupational exposure to base stations-compliance with EU directive 2004/40/EC.

The rapid growth of mobile communications has not only led to a rising number of mobile telephones. It has also made base stations essential for these services widespread on many roofs. However, not everyone is aware that working close to sources of high frequency electromagnetic fields (EMF), such as transmitter antennas for mobile phones, pagers and police, fire and other emergency services, can result in high EMF exposure. This paper deals with measurements and calculations of the compliance boundary for workers in one typical roof top base station setting according to EU Directive and other relevant EN standards.