A hybrid model for remanufacturing facility location problem in a closed-loop supply chain

Traditional supply chain design is merely based on the open loop or forward flow of materials, neglecting reverse flow for recovery of materials despite the recent concerns of customers and governments about environmental and production cost reductions. New supply chain design should be closed loop which implements traditional supply chain concepts with reverse flow or a material recovery system to reduce production cost and enhance customer satisfaction about environmental consciousness and to meet legal requirements. In our research, we designed a closed-loop supply chain which consists of recovery options such as collection centres and remanufacturing plants (reverse flow) in addition to traditional supply chain tiers (forward flow), and tried to find the best location for these facilities in a discrete space based on decision makers' opinions. Since there are uncertainties about decision parameters in an uncapacitated facility location problem, we implemented the fuzzy TOPSIS method to solve the location decision problem and find the best place to locate a remanufacturing facility.     

Experience in mapping the ecological state of the plant cover

Objectives and methods of mapping the ecological state of the plant cover at different spatial levels—federal, regional, and local—are analyzed. The maps used as examples are as follows: at the federal level, “Ecological State of Rangelands in Russia” (1:10 000 000); at the regional level, “Vegetation of Moscow Oblast” (1:200 000); and at the local level, “Vegetation of Narofominskii Raion” and “Current State of the Plant Cover in Narofominskii Raion” (1:50 000).     

The use of a Delphi consultation to explore the curriculum for sustainable development in engineering

Developing a curriculum for sustainable development for engineers, even on a small scale, is a complex task. The University of Manchester has been undertaking a pilot project for an experiential, student-centred approach across engineering and science disciplines, described elsewhere. But that pilot also provided a springboard for the study described in this article. Group techniques for resolving complex issues have been around for half a century but mostly applied to questions of forecasting. Of these, the Delphi technique seemed to best fit the curriculum issues that we wished to explore. This article sets out some of the background to the choice of the Delphi approach, the questions that we sought to answer, the responses that we obtained and some discussion of the appropriateness of the approach to other issues of sustainable development and curriculum design.     

Free radicals and chromosome aberrations in leaves of woody plants as a test system for the genotoxicity of the urban environment

A new method for estimating the genotoxicity of the urban environment is proposed. The method is based on the analysis of the lipid peroxidation (LPO) rate in leaves of woody plants. The mutagenicity of the urban environment was estimated using standard test systems, including plant root meristem (kidney beans germinated in water with suspended particles collected at different points along the Temernik River) and the Ames test (silt samples were tested). Sensitivities of elm, willow, and poplar leaf meristem cells to unidentified environmental mutagenes were compared. Frequencies of chromosome aberrations (CAs) in leaves of woody plants growing at different points along the Temernik River within the Rostov-on-Don city districts differed from those in the control zone. The frequency of CAs was found to correlate with the concentration of LPO products. This allows a biochemical estimation of the malonic dialdehyde (MDA) concentration in woody plants to be used as an express test for the mutagenicity of environmental factors. An advantage of the proposed test is the possibility of monitoring the level of unidentified environmental mutagens over many years, independently of its sporadic temporal variations.     

Simulating potential vegetation distribution in a mountainous region of the Eastern Tibetan Plateau:A case study of Barkam County

The main objective of this study is to simulate the potential vegetation types on the basis of environmental parameters.The paper took Barkam County in a mountainous region of the Eastern Tibetan Plateau as the study area.The vegetation distribution was mapped in 1994 and 2007 based on TM remote sensing images by object-oriented interpretation method.We overlaid the two maps to find out the vegetation patches which have not changed,and took them as stable types.Fifty per cent of the stable patches were randomly sampled to operate the logistic regression with related environmental parameters;others were used as test data of simulated results.Seven environmental parameters were mapped,including elevation,slope,aspect,surface curvature,solar radiation,temperature and precipitation,based on DEM data and meteorological site data by GIS technology.The relationship between the spatial distribution of vegetation and environmental variables were quantified by logistic regression.The distribution probabilities of each vegetation type were calculated.Finally,the spatial distribution of potential vegetation was simulated.This research can provide a scientific basis for vegetation restoration and ecological construction in this area.     

Conceptual Framework of Tourism Carrying Capacity for a Tourism City： Experiences from National Parks in the United States

There is no universally-accepted definition of tourism carrying capacity(TCC).Numerical TCC focuses on use level and is considered as"a magic number"of the saturation point for tourism.There are several reasons why numerical tourism capacity is inadequate.Alternatively,tourism capacity can be defined in terms of limits of acceptable change,which shifts the focus from"how much use is too much"to"how much change is acceptable".This article proposes an improved conceptual framework for evaluating carrying capacity for the tourism city based on approaches used in US national parks,which consider the impact of human use on a city's economic,environmental/resource,and socio-cultural conditions.Based on the basic data of indicator values and relevant standards,the framework monitors the current indicators and predicts future indicator values; it can also be used to assess and predict TCC.