INDUSTRY-DRIVEN AND CIVIL SOCIETY-DRIVEN STRATEGIC ENVIRONMENTAL ASSESSMENTS IN THE IRON MINING AND SMELTING COMPLEX OF CORUMBÁ, BRAZIL

2014 ◽  
Vol 16 (02) ◽  
pp. 1450010 ◽  
Author(s):  
ANA CECI MOTA ◽  
EMILIO LÈBRE LA ROVERE ◽  
ALBERTO FONSECA

Historical records of socio-environmental impacts related to large-scale iron ore development in Brazil are driving different planning approaches in the burgeoning iron mining and smelting complex of Corumbá, located at the border of the Pantanal ecosystem in the Brazilian state of Mato Grosso do Sul. Among the most relevant efforts are two strategic environmental assessments (SEA): one was led by a mining company and the other by a civil society committee. This paper assesses to what extent these SEAs can contribute to the mitigation of negative socio-environmental impacts of the Corumbá Complex. It also evaluates if the SEA methodologies meet a number of SEA Performance Criteria. The analyses, which were based on literature reviews and content analysis of the SEA documents, reveal that the two SEAs represent an important effort to incorporate environmental variables into more strategic levels of the Pantanal region's planning. Nonetheless, both SEAs have serious limitations, given that they are not formally nested in governmental policies, plans and programmes.

2015 ◽  
Vol 15 (6) ◽  
pp. 1407-1423 ◽  
Author(s):  
R. D. Field ◽  
A. C. Spessa ◽  
N. A. Aziz ◽  
A. Camia ◽  
A. Cantin ◽  
...  

Abstract. The Canadian Forest Fire Weather Index (FWI) System is the mostly widely used fire danger rating system in the world. We have developed a global database of daily FWI System calculations, beginning in 1980, called the Global Fire WEather Database (GFWED) gridded to a spatial resolution of 0.5° latitude by 2/3° longitude. Input weather data were obtained from the NASA Modern Era Retrospective-Analysis for Research and Applications (MERRA), and two different estimates of daily precipitation from rain gauges over land. FWI System Drought Code calculations from the gridded data sets were compared to calculations from individual weather station data for a representative set of 48 stations in North, Central and South America, Europe, Russia, Southeast Asia and Australia. Agreement between gridded calculations and the station-based calculations tended to be most different at low latitudes for strictly MERRA-based calculations. Strong biases could be seen in either direction: MERRA DC over the Mato Grosso in Brazil reached unrealistically high values exceeding DC = 1500 during the dry season but was too low over Southeast Asia during the dry season. These biases are consistent with those previously identified in MERRA's precipitation, and they reinforce the need to consider alternative sources of precipitation data. GFWED can be used for analyzing historical relationships between fire weather and fire activity at continental and global scales, in identifying large-scale atmosphere–ocean controls on fire weather, and calibration of FWI-based fire prediction models.


2012 ◽  
Vol 41 (6) ◽  
pp. 1325-1331 ◽  
Author(s):  
Adriana Fernandes de Barros ◽  
Maria Inez Espagnoli Geraldo Martins

2017 ◽  
pp. 1339-1366
Author(s):  
Valeria V. Kleandrova ◽  
Feng Luan ◽  
Alejandro Speck-Planche ◽  
M. Natália D. S. Cordeiro

Nanotechnology is a newly emerging field, posing substantial impacts on society, economy, and the environment. In recent years, the development of nanotechnology has led to the design and large-scale production of many new materials and devices with a vast range of applications. However, along with the benefits, the use of nanomaterials raises many questions and generates concerns due to the possible health-risks and environmental impacts. This chapter provides an overview of the Quantitative Structure-Activity Relationships (QSAR) studies performed so far towards predicting nanoparticles' environmental toxicity. Recent progresses on the application of these modeling studies are additionally pointed out. Special emphasis is given to the setup of a QSAR perturbation-based model for the assessment of ecotoxic effects of nanoparticles in diverse conditions. Finally, ongoing challenges that may lead to new and exciting directions for QSAR modeling are discussed.


2007 ◽  
Vol 36 (2) ◽  
Author(s):  
Jazira Asanova

This paper examines the schooling reform in the post-socialist transformation of Kazakhstan. Adopting a rights-based approach to education, it looks at the ways in which the current education system addresses (or fails to address) the rights and needs of various stakeholders in the society, including teachers, learners, parents, civil society, and policymakers. Two recent large-scale educational reforms form the focus of the paper: a national standardized assessment and a transition from 11 to 12 years of schooling. Implications of the current reform initiatives for Kazakhstan’s development are also discussed, pointing to lessons for understanding schooling and social change in post-socialist transformation. Cet article examine la réforme scolaire pendant la période de transformation post-socialiste du Kazakhstan. En adoptant une approche basée sur les droits de l'éducation, l'auteur considère les méthodes que l'actuel système d'éducation emploie pour répondre (ou ne pas répondre) aux droits et aux besoins des parties prenantes de la société, y compris, les enseignants, les apprenants, les parents, la société civile, et les responsables de politique. Cet article met au point le deux récentes réformes scolaires à grande envergure: la standardisation de l'évaluation nationale et l'ajout d'une année en plus à l'ancien système scolaire de 11 années. L'auteur y examine aussi les répercussions des initiatives de la réforme actuelle pour le développement du Kazakhstan, et suggère les leçons qui pourront nous faire comprendre l'éducation et le changement de la société dans la transformation post-socialiste.


2013 ◽  
Vol 368 (1619) ◽  
pp. 20120153 ◽  
Author(s):  
Marcia N. Macedo ◽  
Michael T. Coe ◽  
Ruth DeFries ◽  
Maria Uriarte ◽  
Paulo M. Brando ◽  
...  

Large-scale cattle and crop production are the primary drivers of deforestation in the Amazon today. Such land-use changes can degrade stream ecosystems by reducing connectivity, changing light and nutrient inputs, and altering the quantity and quality of streamwater. This study integrates field data from 12 catchments with satellite-derived information for the 176 000 km 2 upper Xingu watershed (Mato Grosso, Brazil). We quantify recent land-use transitions and evaluate the influence of land management on streamwater temperature, an important determinant of habitat quality in small streams. By 2010, over 40 per cent of catchments outside protected areas were dominated (greater than 60% of area) by agriculture, with an estimated 10 000 impoundments in the upper Xingu. Streams in pasture and soya bean watersheds were significantly warmer than those in forested watersheds, with average daily maxima over 4°C higher in pasture and 3°C higher in soya bean. The upstream density of impoundments and riparian forest cover accounted for 43 per cent of the variation in temperature. Scaling up, our model suggests that management practices associated with recent agricultural expansion may have already increased headwater stream temperatures across the Xingu. Although increased temperatures could negatively impact stream biota, conserving or restoring riparian buffers could reduce predicted warming by as much as fivefold.


TERRITORIO ◽  
2009 ◽  
pp. 176-181
Author(s):  
Lorenzo Spallino

- In 2007 the Region of Lombardy adopted the principles set by the Ĺrhus convention on involving civil society in environmental issues and increasing awareness of them, advocating the use of new technologies to that end in a general perspective of system efficiency. Nevertheless the change from the administration of procedures to the administration of results, within which the decision of the Region of Lombardy was set, does not seem to have been fully perceived by local administrations. Apart from a few exceptions, the ‘Strategic Environmental Assessments' set in motion by the latter show a generally ineffective use of the technologies adopted to implement regional provisions on participation.


2021 ◽  
Author(s):  
Fereshteh salimian rizi ◽  
Abolfazl Falahati

Abstract A composite α-µ/Lognormal fading channel is proposed with several channel performance criteria. This model considers the most effective occurrences in a fading channel, mainly non-linearity, multi-cluster nature of propagation medium, and shadowing effects. The new generation of communication systems is moving towards the use of millimetre waves (mmW). In this type of propagation, large-scale effects of fading channel on the received signal are significant, so in the proposed composite model, the lognormal distribution is considered to model large-scale effects of fading, which is the most accurate distribution to model shadowing. The Gaussian-Hermite quadrature sum is used to approximate the probability distribution function (PDF) of the proposed model. After calculating the statistics, the symbol error rate (SER) and ergodic capacity are computed. The Mellin transform technique is used to calculate the SER expression of different modulation schemes; then, ergodic capacity is computed for a diverse frequency spectrum. Finally, the Monte Carlo method is used to evaluate the analyses.


2021 ◽  
Author(s):  
András Polgár ◽  
Karolina Horváth ◽  
Imre Mészáros ◽  
Adrienn Horváth ◽  
András Bidló ◽  
...  

<p>Crop production is applied on about half of Hungary’s land area, which amounts to approximately 4.5 million hectares. The agricultural activity has significant environmental impacts.</p><p>Our work aims the time series investigation of the impacts of large-scale agricultural cultivation<strong> </strong>on environment and primarily on climate change in<strong> </strong>the test area by applying environmental life cycle assessment (LCA) method.</p><p>The investigated area of Lajta Project can be found in the triangle formed by the settlements Mosonszolnok, Jánossomorja and Várbalog, in the north-western corner of Hungary, in Győr-Moson-Sopron county. The area has intense agri-environment characteristics, almost entirely lacking of grasslands and meadows.</p><p>We were looking for the answer to the question “To what extent does agricultural activity on this area impact the environment and how can it contribute to climate change during a given period?” The selection of the plants included in the analysis was justified by their significant growing area. We analysed the cultivation data of 5 crops: canola, winter barley, winter wheat, green maize and maize. Material flows of arable crop production technologies were defined in time series by the agricultural parcel register data. These covered the size of the area actually cultivated, the operational processes, records on seeds, fertilizer and pesticide use and harvest data by parcels. The examined environmental inventory database contained also the fuel consumption and lubricating oil usage of machine operations, and the water usage of chemical utilization.</p><p>In the life cycle modelling of cultivation, we examined 13 years of maize, 20 years of green maize, 20 years of winter barley, 18 years of winter wheat and 15 years of canola data calculated on 1 ha unit using GaBi life cycle analysis software.</p><p>In addition, we also calculated by an average cultivation model for all cultivated plants with reference data to 1 ha and 1 year period.</p><p>We applied methods and models in our life cycle impact assessment. According to the values of the impact categories, we set up the following increasing environmental ranking of plant cultivation: (1) canola has minimum environmental impacts followed by (2) green maize and (3) maize with slightly higher values, (4) winter barley has 6 times higher values preceded by (5) winter wheat with a slight difference. The previous environmental ranking of the specific cultivated plants’ contribution was also confirmed as regards the overall environmental impact: canola (1.0%) – green maize (4.9%) – maize (7.1%) – winter barley (43.1%) – winter wheat (44.0%).</p><p>Environmental impact category indicator results cumulated to total cultivation periods and total crop growing areas (quantitative approach) display the specific environmental footprints by crops. Increasing environmental ranking of environmental impacts resulted from cultivating the sample area is the following: (1) canola – (2) maize – (3) green maize – (4) winter barley – (5) winter wheat. The slight difference resulted in the rankings in quantitative approach according to the rankings of territorial approach on the investigated area is due to the diversity of cultivation time factor and the crop-growing parameter of the specific crops.</p><p>Acknowledgement: Our research was supported by the „Lajta-Project”.</p>


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