Role of quantum dots nanoparticles in the chemical treatment of colored wastewater: Catalysts or additional pollutants

The objective of the study was to investigate the presence and the activity of quantum dots nanoparticles in colored wastewaters. The special interest is devoted to the investigation of their role in the typical treatment of water or wastewater, studying their influence on the effectiveness of applied treatments methods. The standard chemical processes for water treatment and disinfection (direct UV photolysis and direct ozonation) were applied for the degradation of colored organic pollutant, reactive azo dye, in the presence/absence of CdSe/ZnS core-shells quantum dots. The obtained results indicated that investigated nanoparticles inhibit the overall efficiency of applied processes, especially in the case of direct UV photolysis, although catalytic effect might be expected in part due to the semiconductor nature of quantum dots. Such results lead to a conclusion that CdSe/ZnS nanoparticles behave as additional pollutants in the system. They should be removed from the system prior the treatment, because their presence could decrease the efficiency, i.e., prolong the time of treatment and correspondingly increase the costs of the treatment process.     

Statistical analysis of trends in organic pollution and pollution by nutrients at selected Danube river stations

The paper describes an application of a statistical analysis for estimating long-term trends in pollutant concentrations of selected pollutants in the Danube river. The results show the changes of concentrations of NH(4)(+)-N, NO(3)(-)-N, PO(4)(3-)-P, total P, BOD(5) and COD(Cr) in a ten year period with the aim to find how the concentrations vary in the whole stretch of this river. The study was based on the data collected in the frame of Transnational Monitoring Network of the ICPDR. To obtain plausible results we have chosen statistical methods, such as tests based on the Spearman correlation coefficient and median regression, which are not sensitive to departures from normality as high skewness or outliers.     

Climate change risk management: a Mental Modeling application

The potential impacts of climate change are varied and highly uncertain, and pose a significant challenge to agencies charged with managing environmental risks. This paper presents a comprehensive and structured Mental Modeling approach to elicit, organize and present relevant information from experts and stakeholders about the factors influencing environmental risk management in the face of climate change. We present and review an initiative undertaken by the United States Army Corps of Engineers (USACE) to characterize climate change challenges to USACE environmental risk management activities, and to identify gaps with respect to science, engineering, and organizational processes for addressing these challenges. By employing Mental Modeling, the research has characterized the influences of climate change on USACE environmental risk management, and aggregating recommendations from 28 experts. In addition, the study identifies the most important opportunities to improve organizational response to climate change, ranging from focused research and development of technical capabilities to broad paradigm shifts and systemic organizational improvements within the USACE environmental risk management programs. This study demonstrates that Mental Modeling is a useful tool for understanding complex problems, identifying gaps, and formulating strategies, and can be used by a multitude of organizations and agencies.     

Networks and spatial segregation in the production of urban poverty in São Paulo

This article discusses the importance of social networks as survival strategies, testing the impact of segregation on the structure and organisation of personal networks of low-income individuals. It presents preliminary results of an ongoing study on personal networks of individuals living in situations of poverty in São Paulo. We analyse the characteristics of 89 personal networks of poor individuals living in three urban locations, characterised by different social contents and different contexts of segregation. The results indicate a considerable heterogeneity of networks (in terms of size, diversity of sociability spheres, among other dimensions) and a strong localism, which is commonly found in the three different urban contexts. At the same time, the analysis suggests a low impact of segregation and a more complex relationship between networks and space than previously described by the international literature.     

Climate justice: framing a new discourse in Brazil

In this article, we evaluate to what extent the Climate Justice discourse has been associated by the press to extreme climate events in Brazil. The text is based on the examination of articles published by important newspapers in Rio de Janeiro and São Paulo, after two major rain events which produced floods and landslides in these two cities. Based on these findings, we suggest that the adoption of the Climate Change discourse in Brazil could produce three main positive outcomes: improve the discourse's acceptance in the international arena, increase the chances that the claims of affected groups are heard by Brazilian government, and turn current policies designed to correct effects of extreme climate events into structural policies designed to reduce vulnerability and to adapt to Climate Change.     

Defining practical and robust study designs for interventions targeted at terrestrial mammalian predators

Conflicts between humans and mammalian predators are globally widespread and increasing, creating a long-lasting challenge for conservation and local livelihoods. Protection interventions, which are essential to conflict mitigation, should be based on solid evidence of effectiveness produced by robust study designs. Yet, it is unclear what study designs have been used in predator-targeted interventions and how they can be improved to provide best practices for replications. I examined how applications of five study designs (before-after, before-after-control-impact, control-impact, crossover [i.e., the same randomly assigned study units acting as treatments and controls during alternating trials], and randomized controlled trial) have changed over time and how these changes are related to authors, predator species, countries, and intervention types (aversion, husbandry, mixed interventions, invasive management, lethal control, and noninvasive management). I applied multinomial regression modeling to 434 cases (28 predator species and 45 countries) from 244 studies published from 1955 to 2020. Study design was related only to intervention type. Less reliable before-after and control-impact studies were the most common (47.7% and 38.2% of cases, respectively), and their use increased over years as did all interventions. The contribution of the most robust before-after-control-impact (7.4%), randomized controlled trial (5.3%), and crossover designs (1.4%) remained minor over time. Crossover is suitable for aversion, most husbandry techniques, and a few other interventions, but crossover interventions also have the most limitations in terms of applicability. Randomized controlled trial is generally applicable, but impractical or inappropriate for some interventions, and before-after-control-impact appears to be the most widely applicable study design for predator-targeted interventions.     

Use of fluff in a coking coal blend in a pilot scale

Journal of Material Cycles and Waste Management - Fluff is a shredder waste made up mostly of polymeric material generated in semi-integrated steel manufacturing plants, which is usually disposed...     

Resilience and lessons learned from COVID-19 emergency response

Environment Systems and Decisions -