In recent years, Blue Economy has been an expanding concept in the EU, both as a tool for development as well as an economy transforming concept while its strategic orientation is reflected in EU’s Blue Growth strategy. On parallel Europe’s 2020 Strategy goals and their translation into targets for the member states, serves as a common ground for -among others- the implementation of Blue Growth goals and the enforcement of the activities of Social Economy Enterprises. Starting from this fact, a survey has been conducted to address: (a) the contribution of the Blue Growth goals to the activities of the Greek private and public economic sectors, as well as of the Social Economic one; (b) the current state of the art interaction between Blue Economy and Social Economy in Greece, and; (c) the current and future trends regarding the contribution of Social Cooperative Enterprises (SCE) as a tool for enhancing Blue Growth impact. Key findings include the level of engagement of SCEs with Blue Growth sectors, their potential of future involvement and the reasons for the current skepticism towards the Blue Growth potential. The above mentioned are complemented with a discussion on the viability and compatibility of a Blue Growth Social Concept adapted in the special environment of a heavily maritime related economy such as Greece.

Historic lead and zinc (Pb-Zn) mining in southeast Missouri’s “Old Lead Belt” has left large chat piles dominating the landscape where prior to 1972 mining was the major industry of the region. As a result of variable beneficiation methods over the history of mining activity, these piles remain with large quantities of unrecovered Pb and Zn and to a lesser extent cadmium (Cd). Quantifying the residual content of trace metals in chat piles is problematic because of the extensive field effort that must go into collecting elevation points for volumetric analysis. This investigation demonstrates that publicly available lidar point data from the U.S. Geological Survey 3D Elevation Program (3DEP) can be used to effectively calculate chat pile volumes as a method of more accurately estimating the total residual trace metal content in these mining wastes. Five chat piles located in St. Francois County, Missouri, were quantified for residual trace metal content. Utilizing lidar point cloud data collected in 2011 and existing trace metal concentration data obtained during remedial investigations, residual content of these chat piles ranged from 9247 to 88,579 metric tons Pb, 1925 to 52,306 metric tons Zn, and 51 to 1107 metric tons Cd. Development of new beneficiation methods for recovering these constituents from chat piles would need to achieve current Federal soil screening standards. To achieve this for the five chat piles investigated, 42 to 72% of residual Pb would require mitigation to the 1200 mg/kg Federal non-playground standard, 88 to 98% of residual Zn would require mitigation to the Ecological Soil Screening level (ESSL) for plant life, and 70% to 98% of Cd would require mitigation to achieve the ESSL. Achieving these goals through an existing or future beneficiation method(s) would remediate chat to a trace metal concentration level that would support its use as a safe agricultural soil amendment.

Urban green infrastructure has the potential to offer multiple ecosystem services to society. However, there is little information about the role of these tree dominated, public streetscapes on the local-scale provision of ecosystem services in European mid-sized cities. In the present study, we explored the local-scale effects of different tree dominated streetscape types on mitigating temperatures and air pollution in the city of Bolzano, Italy by integrating the ENVI-met and UFORE models as well as local field, pollution and climate data. We found that total estimated air pollution removal by trees in Bolzano was 2.42 metric tons per year (t/yr); with ozone (1.2 t/yr) being the pollutant most removed and carbon monoxide (0.03 t/yr) the least. Total air pollution removal (901.4 kg/yr) was greatest in parks. Total biogenic volatile organic compound emissions, an ecosystem disservice, were also estimated. The ENVI-met simulations found that urban trees can reduce streetscape temperatures by up to 2 °C during the summer and improve human thermal comfort. Results can be used to better understand the dynamics of local-scale ecosystem services of mid-size European cities and to better assess the role of urban streetscapes and green infrastructure in improving human well-being and mitigating the effects of climate change.

Expansion of Pinus L. (pinyon) and Juniperus L. (juniper) (P-J) trees into sagebrush ( Artemisia L.) steppe communities can lead to negative effects on hydrology, loss of wildlife habitat, and a decrease in desirable understory vegetation. Tree reduction treatments are often implemented to mitigate these negative effects. In order to prioritize and effectively plan these treatments, rapid, accurate, and inexpensive methods are needed to estimate tree canopy cover at the landscape scale. We used object based image analysis (OBIA) software (Feature Analyst TM for ArcMap 10.1 ® , ENVI Feature Extraction ® , and Trimble eCognition Developer 8.2 ® ) to extract tree canopy cover using NAIP (National Agricultural Imagery Program) imagery. We then compared our extractions with ground measured tree canopy cover (crown diameter and line point intercept) on 309 plots across 44 sites in Utah. Extraction methods did not consistently over- or under-estimate ground measured P-J canopy cover except where tree cover was >45%. Estimates of tree canopy cover using OBIA techniques were strongly correlated with estimates using the crown diameter method (r = 0.93 for ENVI, 0.91 for Feature Analyst TM , and 0.92 for eCognition). Tree cover estimates using OBIA techniques had lower correlations with tree cover measurements using the line-point intercept method (r = 0.85 for ENVI, 0.83 for Feature Analyst TM , and 0.83 for eCognition). All software packages accurately and inexpensively extracted P-J canopy cover from NAIP imagery when the imagery was not blurred, and when P-J cover was not mixed with Amelanchier alnifolia (Utah serviceberry) and Quercus gambelii (Gambel’s oak), which had similar spectral values as P-J.

Aerosols from the mainstream cigarette smoke have been analyzed by electrospray ionization (ESI) coupled to Fourier transform ion cyclotron resonance mass spectrometry (FTICRMS). Measurements have been conducted in positive ion mode. The chemical composition of cigarette smoke aerosol is significant because it gives insights of one complex indoor environmental mixture. Almost 1300 chemical compositions relative to nitrogen species were successfully determined through the accurate mass measurement and the good ion production of the used technique. The most abundant class of compounds corresponds to N2 one (hydrocarbons with two nitrogen atoms). For other classes, the van Krevelen diagrams ensured to define that other nitrogen and oxygen-nitrogen compounds adopted similar behavior in terms of unsaturation and alkylation range. The detailed composition of cigarette smoke aerosol provided a typical chemical fingerprint from the biomass pyrolysis with tobacco-specific compounds. We examined also the contribution of laser desorption ionization (LDI) technique coupled to FTICRMS for the acute analysis of cigarette smoke aerosol. While a part of the chemical composition were found similar to ESI results, LDI achieved a broader range of poly-aromatic compounds and highlight new class compounds as pure hydrocarbon and oxygen-containing species. The combination of ESI and LDI with high resolution mass spectrometry clearly increased significantly the coverage of the “whole composition” of environmental aerosols such as cigarette smoke aerosol.

State-and-transition simulation modeling relies on knowledge of vegetation composition and structure (states) that describe community conditions, mechanistic feedbacks such as fire that can affect vegetation establishment, and ecological processes that drive community conditions as well as the transitions between these states. However, as the need for modeling larger and more complex landscapes increase, a more advanced awareness of computing resources becomes essential. The objectives of this study include identifying challenges of executing state-and-transition simulation models, identifying common bottlenecks of computing resources, developing a workflow and software that enable parallel processing of Monte Carlo simulations, and identifying the advantages and disadvantages of different computing resources. To address these objectives, this study used the ApexRMS® SyncroSim software and embarrassingly parallel tasks of Monte Carlo simulations on a single multicore computer and on distributed computing systems. The results demonstrated that state-and-transition simulation models scale best in distributed computing environments, such as high-throughput and high-performance computing, because these environments disseminate the workloads across many compute nodes, thereby supporting analysis of larger landscapes, higher spatial resolution vegetation products, and more complex models. Using a case study and five different computing environments, the top result (high-throughput computing versus serial computations) indicated an approximate 96.6% decrease of computing time. With a single, multicore compute node (bottom result), the computing time indicated an 81.8% decrease relative to using serial computations. These results provide insight into the tradeoffs of using different computing resources when research necessitates advanced integration of ecoinformatics incorporating large and complicated data inputs and models.

Mercury is a ubiquitous environmental toxicant which bioaccumulates and has many biological effects, including detrimental effects on the nervous and immune systems. Because mercury can cross the placenta and concentrates in the fetal compartment, the developing fetus is particularly vulnerable. We hypothesize that developmental exposure to mercury will cause immunological changes, leading to an increased susceptibility to, or exacerbation of, immune disorders later in life. To better understand these changes, we exposed pregnant female mice to low doses of mercury for a short duration and examined the genetic effects related to immune function in the adult offspring. Pregnant BALB/c mice were exposed to mercury (200 µg/kg HgCl 2 in PBS by subcutaneous injection) or vehicle control every other day from gestation day 5 to 15. Offspring remained with the dam until weaning and were euthanized at 8 weeks of age with no further exposures to mercury. Splenic RNA was isolated and gene expression changes examined by microarray in a non-random subset of samples and changes confirmed by quantitative PCR. Epigenetic changes were also examined in terms of miRNA levels in the spleen. Although male and female offspring were exposed to mercury in the same in utero environment, the effects on expression of immune-related genes and immune-regulatory epigenetic signals were different dependent upon the sex of the offspring with males, but not females, displaying up-regulation at least two-fold of arginase, interferon-γ, STAT1, vitronectin, and TNFSF18. Epigenetic changes in miRNA levels were differentially expressed in males and females with in utero mercury exposure; miR-191-5p was decreased in males, while miR-1188-3p was increased in females. These gene expression and gene regulation changes modulate the baseline immune response and may impact risks for autoimmunity later in life.

Solar Photovoltaic (SPV) water pumping system is one of the best technologies that utilize the solar energy to pump water from deep well underground water sources and to provide clean drinking water worldwide. The availability of abundant solar radiation and enough underground water sources in Ethiopia can be combined together to make clean drinking water available to rural communities. The software PVsyst 5.56 was used to study the feasibility of solar photovoltaic water pumping system in the selected sites. The designed system is capable of providing a daily average of 10.5, 7 and 6.5 m 3 /day for 700, 467 and 433 people in Siadberand Wayu, Wolmera and Enderta sites respectively, with average daily water consumption of 15 liters per day per person and the costs of water without any subsidy, are approximately 0.1, 0.14 and 0.16 $/m 3 for each site respectively. If diesel generator is used instead of solar photovoltaic water pumping system, to provide the same average daily water for the selected community, the costs of water without any subsidy are approximately 0.2, 0.23 and 0.27 $/m 3 for each site respectively. A life cycle cost analysis method was also carried out for economic comparison between solar PV and the diesel pumping system. The results of this study are encouraging the use of the PV system for drinking water supply in the remote areas of the country.

Human biomonitoring (HBM) programs have been established in several countries around the world in order to monitor the levels of chemical exposures in the general population and qualify health risk assessment of national and international interest. Study design, population, sample collection, and chemical analysis must be considered when comparing and interpreting the results. In this review, the objectives and brief descriptions of the major national HBM programs in North America, Europe, and Asia are provided. Similarities and differences observed from a comparative analysis among these programs, including the stratification of data according to age, sex, socioeconomic background, etc. as well as the identification of chemical exposure associated with food intake, are discussed. Overall, although there are some discrepancies in the study designs among the reviewed national HBM programs, results from the programs can provide useful information such as chemical levels found within the general population of a country that can be compared. Furthermore, the results can be used by regulatory authorities or the government to enforce legislations in order to reduce the exposure of chemicals into the human body.

From the 1940s until the 1980s the federal government gradually extended its authority over the structure of the American stormwater management system. The goal was to improve the water quality of the nation’s waterways by regulating the pollution loads entering the system, primarily through the use of gray infrastructure. However during the1980s the Environmental Protection Agency (EPA) began to explore new approaches toward the regulation of stormwater pollution. Instead of focusing only on gray mechanisms, the EPA began developing and promoting the use of low impact development (LID) techniques as an element municipal governments could use to achieve their total maxim daily load of pollutants allowable under the National Pollutant Discharge Elimination System permit system. In light of the incentive offered by the EPA for the use of LID in the management of stormwater, it should be expected to provide a perfect area to observe policy transfer between federal, state and local governments; but it does not. This article will establish why the EPA began promoting a green approach to stormwater management and why this has not led to a widespread transfer of best management practices in the ways the literatures associated with federalism and policy transfer would suggest.