939 resultados para environmental index


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The complexity of the environment demands a well-constructed composite environmental index (CEI) to provide a useful tool to draw attention to environmental conditions and trends for policy purposes. Among the common difficulties in constructing a proper CEI are uncertainties due to the selection of the most representative underlying variables or indicators. A degree of uncertainty accompanies experts' judgments, and to deal with vague, subjective or inconsistent information, logic other than classic is required. This study analyzes a procedure that uses different experts' opinions in constructing a CEI. with the use of paraconsistent annotated logic. For this, a sensitivity analysis of the Environmental Sustainability Index (ESI 2005) was used as an example to assess the reliability of experts' opinions. The uncertainty due to the disagreement in experts' opinions clearly indicates that the forms we presently use to measure and monitor the actual environment are insufficient, that is, there is a lack of a "science of sustainability". (C) 2009 Elsevier Ltd. All rights reserved.

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O objetivo deste trabalho é verificar a relação entre as publicações dos Balanços Sociais (BS) e os valores dos investimentos sociais das empresas no Brasil. Para o desenvolvimento da pesquisa, utilizamos o universo das “500 maiores empresas S.A. nãofinanceiras” (Revista Conjuntura Econômica, 2006) do ranking da Fundação Getúlio Vargas (FGV), aproveitando como fonte de informação os BS publicados nos anos de 2001 e 2005. Partindo do estudo de Puppim de Oliveira (2005), pudemos observar a variação de alguns indicadores sociais e ambientais, com base no modelo IBASE de BS. Esta variação pôde ser analisada através das equivalências entre o Lucro Líquido (LL) e a Receita Operacional Líquida (ROL). A referida análise nos possibilitou verificar que há disparidades entre o discurso e a prática da Responsabilidade Social Empresarial (RSE); através da observação de resultados semelhantes ao estudo de Ventura (2005) sobre a institucionalização das práticas sociais. Os caminhos para a comparação da freqüência de publicação dos BS e dos investimentos sociais, a fim de alcançar o objeto deste estudo, foram: (1) a verificação da freqüência de publicação dos BS das empresas do Brasil no ano de 2005; (2) o cálculo e comparação dos valores publicados nos indicadores sociais internos, indicadores sociais externos e indicadores ambientais; (3) a observação da equivalência de tais indicadores quanto ao ROL e ao LL; (4) a constatação da freqüência de publicação dos BS selecionados pelos setores empresariais. A pesquisa de campo contemplou as 500 maiores empresas do ranking mencionado para o desenvolvimento da análise qualitativa. A pesquisa também observou uma amostra de 79 empresas que publicaram o modelo IBASE de BS, no intuito de desenvolver a análise quantitativa. Verificamos que a freqüência de publicação dos BS cresceu consideravelmente, entre os anos de 2001 e 2005, enquanto que os valores reais dos investimentos sociais nem sempre acrescem. Nesta linha, a pesquisa evidenciou que o discurso e a prática da Responsabilidade Social das empresas analisadas não caminharam no mesmo ritmo, entre os anos de 2001 e 2005.

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Environmental pollution has become a subject of public interest throughout the world. Not only have developed countries been affected by environmental problems but also the developing nations have started to suffer from the serious impacts of pollution. Within this context it is necessary to collect simplified environmental data to assist in the management of water resources by the appropriate authorities. These data are obtained through an environmental index that allows a space-time comparison of points distributed in the same aquatic body, or between different water bodies, for physico-chemical and bacteriological parameters. The aim of this present study was to determine the environmental status of the Lagoa de Baixo at Guamaré/RN, where a production unit of PETROBRAS RN/CE is located. For this purpose the Water Quality Index (WQI) was used in both an add and multiply form, the Trophic State Index (TSI) and the Environmental Quality Quotient (EQQ), as well as determining the concentrations of metals. The average values obtained for the WQI, in its two forms were 68,67 and 62,76 respectively which were inside the good qualification. According to the TSI the lagoon showed characteristics of a middle trophic state, and an impact level of regular as determined by the EQQ

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Twenty two open-pollinated Hevea progenies from different parental clones of the Asian origin were tested at five sites in the Northwestern São Paulo State Brazil to investigate the progeny girth growth, rubber yield, bark thickness and plant height. Except for the rubber yield, the analysis of variance indicated highly significant (p<0.01) genotype x environment interaction and heterogeneity of regressions among the progenies. However, the regression stability analysis identified only a few interacting progenies which had regression coefficients significantly different from the expected value of one. The linear regressions of the progeny mean performance at each test on an environmental index (mean of all the progenies in each test) showed the general stability and adaptability of most selected Hevea progenies over the test environments. The few progenies which were responsive and high yielding on different test sites could be used to maximize the rubber cultivars productivity and to obtain the best use of the genetically improved stock under different environmental conditions.

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The Brazilian relief, predominantly composed by small mountains and plateaus, contributed to formation of rivers with high amount of falls. With exception to North-eastern Brazil, the climate of this country are rainy, which contributes to maintain water flows high. These elements are essential to a high hydroelectric potential, contributing to the choice of hydroelectric power plants as the main technology of electricity generation in Brazil. Though this is a renewable source, whose utilized resource is free, dams must to be established which generates a high environmental and social impact. The objective of this study is to evaluate the impact caused by these dams through the use of environmental indexes. These indexes are ratio formed by installed power with dam area of a hydro power plant, and ratio formed by firm power with this dam area. In this study, the greatest media values were found in South, Southeast, and Northeast regions respectively, and the smallest media values were found in North and Mid-West regions, respectively. The greatest encountered media indexes were also found in dams established in the 1950s. In the last six decades, the smallest indexes were registered by darns established in the 1980s. These indexes could be utilized as important instruments for environmental impact assessments, and could enable a dam to be established that depletes an ecosystem as less as possible.

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Pós-graduação em Geociências e Meio Ambiente - IGCE

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The purpose of this study was to investigate whether an incongruence between personality characteristics of individuals and concomitant charcteristics of health professional training environments on salient dimensions contributes to aspects of mental health. The dimensions examined were practical-theoretical orientation and the degree of structure-unstructure. They were selected for study as they are particularly important attributes of students and of learning environments. It was proposed that when the demand of the environment is disparate from the proclivities of the individual, strain arises. This strain was hypothesized to contribute to anxiety, depression, and subjective distress.^ Select subscales on the Omnibus Personality Inventory (OPI) were the operationalized measures for the personality component of the dimensions studied. An environmental index was developed to assess students' perceptions of the learning environment on these same dimensions. The Beck Depression Inventory, State-Trait Anxiety Inventory and General Well-Being schedule measured the outcome variables.^ A congruence model was employed to determine person-environment (P-E) interaction. Scores on the scales of the OPI and the environmental index were divided into high, medium, and low based on the range of scores. Congruence was defined as a match between the level of personality need and the complementary level of the perception of the environment. Alternatively, incongruence was defined as a mismatch between the person and the environment. The consistent category was compared to the inconsistent categories by an analysis of variance procedure. Furthermore, analyses of covariance were conducted with perceived supportiveness of the learning environment and life events external to the learning environment as the covariates. These factors were considered critical influences affecting the outcome measures.^ One hundred and eighty-five students (49% of the population) at the College of Optometry at the University of Houston participated in the study. Students in all four years of the program were equally represented in the study. However, the sample differed from the total population on representation by sex, marital status, and undergraduate major.^ The results of the study did not support the hypotheses. Further, after having adjusted for perceived supportiveness and life events external to the learning environment, there were no statistically significant differences between the congruent category and incongruent categories. Means indicated than the study sample experienced significantly lower depression and subjective distress than the normative samples.^ Results are interpreted in light of their utility for future study design in the investigation of the effects of P-E interaction. Emphasized is the question of the feasibility of testing a P-E interaction model with extant groups. Recommendations for subsequent research are proposed in light of the exploratory nature of the methodology. ^

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Los espacios verdes y, en general, la vegetación que cumple funciones estéticas y de protección ambiental son valorados, medidos y calculados por el área destinada al cultivo, en lugar de basar los cálculos en los elementos vegetales constitutivos. Esto significa una simplificación excesiva de la valoración de la vegetación (actual o proyectada) que no aporta criterios de cuantificación valorativa necesarios, actualmente, tanto para preservar vegetación existente como para políticas de desarrollo urbano y proyectos de ingeniería del mejoramiento ambiental. En el presente trabajo se propone aplicar a la valoración de los jardines frontales urbanos de la ciudad de Mendoza una metodología cuantitativa desarrollada por R. Codina et al., que se apoya en un concepto nuevo que es su influencia como mejoradores ambientales. La ecuación de cálculo se integra con índices de valoración como el Índice de Vegetación Ambientalmente Activa y el Índice Ambiental Urbanístico, que permiten cuantificar la importancia urbanística y ambiental de la vegetación. También se propone una base para implementar una política de incentivo de los jardines frontales mediante la disminución del avalúo valor terreno del impuesto inmobiliario, en una escala progresiva según el Índice Ambiental Urbanístico de cada propiedad, tendiente a la transformación de la ciudad en una ciudad-jardín, mejorando la calidad de vida y el atractivo turístico urbano.

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The industrial Brazilian pig farming despite of the constant advance in the genetic improvement, nutrition, and in handling, seasonality problems occur in the production of weaned piglet, mainly due to the stations of the year that can impact directly in the profitability. These problems can be deepen due to breed and line of decent used in Brazil are all source from tempered weather countries. To the pig farmer it's difficult to determine the relations between indoor temperature of the barns, relative humidity of the air and top thermal amplitude which can provide good reproductive rates for the boars and arrays lodged in conventional barns. The lack research to production of environmental indices of easy interpretation to pigs, which are not dependent of complicated handling machines and also which are not expensive is considered as a negative factor from the producers. the objective os this experiment is evaluate the effects of the stations of the year over the reproductive performance of the boars Agroceres PIC 425, Agroceres PIC 337 and D.B. Dambred LM 6200, and of arrays Agroceres Canborough 22, Penarlan Naima e DB90 Danbred, in addition develop an environmental index with easy interpretation and use to the pig farmers of the region of Uberlândia - MG, using the maxim temperatures, rainfall monthly accumulated and of the thermal amplitude of the barn. The features rated during the stations of the years 2013 and 2014 were the volume and spermatic quality of the boars and the mainly reproductive indexes of the arrays as the total number of piglets born alive and total number of weaned piglets/ array/ parturition. The station of the year which had the worst results in the reproductive feature of the boars and arrays was the spring. Boars from different line of decent are sensitive to the effects of stress of the heat of spring causing lowest volume, concentration and problems in the spermatic morphology (p<0,05). The spring prejudice the reproductive indexes of arrays from different line of decent (p<0,05) and the pig farmers of Uberlândia are subjected to operating losses and income evasion due to the thermal stress in the reproduction that added can reach $150.000,00 annual for each 1000 arrays lodged/year.

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A Análise conjunta de regressões, ACR, é uma técnica utitilizada para estudar a interação gentipo x ambiente baseada em regressões. Nesta técnica ajusta-se uma regressão linear por cultivar. Nestas regressões a variável controlada é o índice ambiental que mede a produtividade dos vários ambientes. Nas culturas anuais, os ambientes compreendem aos pares (local, ano). Os valores dos índices ambientais e dos coeficientes das regressões são ajustados simultaneamente. Até agora a ACR tem sido aplicada a uma única cultura de cada vez. Neste trabalho vamos procurar ultrapassar essa limitação através da modelação dos logaritmos dos índices ambientais tendo-se desenvolvido um modelo da forma: zi, j  v  l j  j , i  1,...,n, J  1,...,n onde zi , j é o logaritmo do índice ambiental para o i-essimo ambiente na j  essima cultura , v um valor médio geral , li j  essimo cultivar. o efeito do i  essimo local e  j o efeito do Ao utilizar esta modelação, os locais corresponderão a estações experimentais de forma a poder-se ter várias culturas no mesmo local. Ora, as estações experimentais são escolhidas por forma a serem representativas das regiões onde estão implantadas. Assim, os índices ambientais correspondentes às várias estações experimentais e, consequentemente, às respetivas regiões, pudesse ser utilizados para agrupar regiões contíguas com índices semelhantes obtendo-se assim, um elemento interessante para a Zonagem agrícola no que diz respeito às culturas que se trabalha. Pode-se ainda procurar uma Zonagem para grupos de cultivares. Por exemplo, adiante trabalharemos com dados da cevada e trigo os quais são cereais. ABSTRACT: Joint Regression Analysis, JRA, is one of the techniques for the study of genotypeXenvironment interaction based on the use of regressions .In JRA a linear regression of the yields of each cultivar on a controlled variable, the environment index ,is adjusted .The index miss erasures the productivity of each environment .In yearly cultures the environments correspond to the pairs (location ,years) .These indexes and the correlation coefficients are adjusted simultaneously. Up to now JRA has been applied to single crops .Now we try to overcome this restriction through modeling of the logarithms of the environmental indexes .We developed a model τ i , j = v + l j +λ j , i = 1,..., b, J = 1,...J where τ i , j is the logarithm of the environmental index for the i-th environment and the j-th crop , v is the general mean , li is the effect of the i-th environment and λ j is the effect of the j-th crop . When applying this model the location will correspond to experimental situations in order to have several crops in the same locations .Now experimental stations are chosen to be representative of the regions in which they are located .Then the l1 ,..., lb can be used to group contiguous regions with similar location effects .We thus get an useful tool for Agricultural Zoning for the crops we used or, even, for the group to which those crops belong . For instance we worked with barley and wheat that are cereals.

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Business Strategy and the Environment nº 15, p. 71–86

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The Agri-Environmental Footprint project is developing a common methodology for assessing the environmental impact of European agri-environment schemes. The Agri-Environmental Footprint Index (AFI) has been constructed as a customisable approach. It is a farm-level index that aggregates the measurement of agri-environmental indicators. Farm-level impact scores can be aggregated at a regional level to track temporal change and/or to provide comparisons of the success (or otherwise) of an agri-environment scheme.

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An aggregated farm-level index, the Agri-environmental Footprint Index (AFI), based on multiple criteria methods and representing a harmonised approach to evaluation of EU agri-environmental schemes is described. The index uses a common framework for the design and evaluation of policy that can be customised to locally relevant agri-environmental issues and circumstances. Evaluation can be strictly policy-focused, or broader and more holistic in that context-relevant assessment criteria that are not necessarily considered in the evaluated policy can nevertheless be incorporated. The Index structure is flexible, and can respond to diverse local needs. The process of Index construction is interactive, engaging farmers and other relevant stakeholders in a transparent decision-making process that can ensure acceptance of the outcome, help to forge an improved understanding of local agri-environmental priorities and potentially increase awareness of the critical role of farmers in environmental management. The structure of the AFI facilitates post-evaluation analysis of relative performance in different dimensions of the agri-environment, permitting identification of current strengths and weaknesses, and enabling future improvement in policy design. Quantification of the environmental impact of agriculture beyond the stated aims of policy using an 'unweighted' form of the AFI has potential as the basis of an ongoing system of environmental audit within a specified agricultural context. (C) 2009 Elsevier Ltd. All rights reserved.

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The Agri-Environment Footprint Index (AFI) has been developed as a generic methodology to assess changes in the overall environmental impacts from agriculture at the farm level and to assist in the evaluation of European agri-environmental schemes (AES). The methodology is based on multicriteria analysis (MCA) and involves stakeholder participation to provide a locally customised evaluation based on weighted environmental indicators. The methodology was subjected to a feasibility assessment in a series of case studies across the EU. The AFI approach was able to measure significant differences in environmental status between farms that participated in an AES and nonparticipants. Wider environmental concerns, beyond the scheme objectives, were also considered in some case studies and the benefits for identification of unintentional (and often beneficial) impacts of AESs are presented. The participatory approach to AES valuation proved efficient in different environments and administrative contexts. The approach proved to be appropriate for environmental evaluation of complex agri-environment systems and can complement any evaluation conducted under the Common Monitoring and Evaluation Framework. The applicability of the AFI in routine monitoring of AES impacts and in providing feedback to improve policy design is discussed.

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BACKGROUND: Ecological models of health behaviour are an important conceptual framework to address the multiple correlates of obesity. Several single-country studies previously examined the relationship between the built environment and obesity in adults, but results are very diverse. An important reason for these mixed results is the limited variability in built environments in these single-country studies. Therefore, the aim of this study was to examine associations between perceived neighbourhood built environmental attributes and BMI/weight status in a multi-country study including 12 environmentally and culturally diverse countries. METHODS: A multi-site cross-sectional study was conducted in 17 cities (study sites) across 12 countries (Australia, Belgium, Brazil, China, Colombia, Czech Republic, Denmark, Mexico, New Zealand, Spain, the UK and USA). Participants (n = 14222, 18-66 years) self-reported perceived neighbourhood environmental attributes. Height and weight were self-reported in eight countries, and measured in person in four countries. RESULTS: Three environmental attributes were associated with BMI or weight status in pooled data from 12 countries. Safety from traffic was the most robust correlate, suggesting that creating safe routes for walking/cycling by reducing the speed and volume of traffic might have a positive impact upon weight status/BMI across various geographical locations. Close proximity to several local destinations was associated with BMI across all countries, suggesting compact neighbourhoods with more places to walk related to lower BMI. Safety from crime showed a curvilinear relationship with BMI, with especially poor crime safety being related to higher BMI. CONCLUSIONS: Environmental interventions involving these three attributes appear to have international relevance and focusing on these might have implications for tackling overweight/obesity.