Characterization and pyrolysis of Chlorella vulgaris and Arthrospira platensis: potential of bio-oil and chemical production by Py-GC/MS analysis

Environmental Science and Pollution Research - Biofuels have been seen as potential sources to meet future energy demand as a renewable and sustainable energy source. Despite the fact that the...     

Biodegradation of anthracene and different PAHs by a yellow laccase from Leucoagaricus gongylophorus

Environmental Science and Pollution Research - Laccases produced by Leucoagaricus gongylophorus act in lignocellulose degradation and detoxification processes. Therefore, the use of L....     

First assessment of sources and sinks for carbon capture and geological storage in Portugal

A preliminary study for a source–sink match for application of Carbon Capture and Storage (CCS) in Portugal is presented. The location of the main CO₂ emission sources in Portugal, existing and planned, was analysed and three main source clusters, emitting a total of 26.8 Mt/year, were defined. The three source clusters are connected by a natural gas pipeline network.CO₂ storage reservoirs are likely to be restricted to deep saline formations. Potential storage formations are described in the Porto, Lusitanian and Algarve sedimentary basins. Due to the large continental shelf, composed mainly of sedimentary rocks, it is important to consider offshore opportunities. A Geographical Information System (GIS), including information on the stratigraphy, seismicity, neotectonics and geothermal features, was used for prioritising the areas where reservoir identification and characterization studies should be conducted. Despite not showing the most promising geological conditions, the area around the deepwater harbour of Sines is given the highest priority, since sources in the area account for more than 40% of point source emissions in Portugal.     

Hydrological benefits in the context of Brazilian environmental services program

The Brazilian program of payment for environmental services (PES) is based on ranges of potential erosion decrease (ED) from soil and water conservation proposals estimated from the Universal Soil Loss Equation. Changes in land use and land cover (LULC) result in many alterations of the basin water balance. Therefore, to contribute to the methodological development of Brazilian PES, this paper proposes a quantification of hydrological benefits based on conservation measures. We propose basing the PES program on adding the potential water storage increase (WSI) parameter estimated from the runoff curve number model. Two LULC change scenarios were run considering conservation measures on degraded areas. We found that indicators of ED and WSI were compatible tools for driving the eligibility of soil and water conservation measures. However, the water storage parameter seems to be better at managing the PES mechanism because it is based on water prices and can contribute to appreciation of the efforts performed by the rural producers. The use of the SCS-CN method presents greater feasibility as a tool for the implementation of PES programs in ungauged basins. Thus, an analysis of the success of the innovation proposal of the Brazilian PES program allows inferences to be made about the quantification and financial valuation of hydrological benefits of the potential storage increase and current water price.     

Applying Fuzzy Logic to Assess Human Perception in Relation to Conservation Plan Efficiency Measures Within a Biosphere Reserve

The objective of this study is to present an efficiency-perception impact assessment based upon the integration of fuzzy logic (FL) of the "Productive Reconversion" conservation program (PRP) instituted by the Mexican government, in the upper Gulf of California and the Colorado Delta Biosphere Reserve. This approach enables environmental analysts to deal with the intrinsic imprecision and ambiguity associated with people's judgments and conclusions. The application of FL to the assessment of program efficiency is illustrated in this work, demonstrating how subjective perceptions can be converted into quantitative values easy to evaluate during the decision-making process.