Barryhaaning0666

The limited literature on the cost of various recycling methodologies for thermoset composites sets the background of this work, focusing mainly on the identification of an upper and lower economic value of glass fibre recovered from wind turbine blades recycling. The study briefly reviews the materials used by various original equipment manufacturers (OEM) for wind turbine blades. Successively, it provides an overview of the various recycling methods with interest in recovered materials, mechanical and physical properties, which are used, for estimating a maximum expected value. All recycling processes show a negative effect on mechanical properties with strength loss between 30% and 60%. Process energy demands are reviewed, and considerations are set forward to estimate the minimum cost of operating mechanical, pyrolysis and fluidized bed plants in Germany. Ultimately, current applications of recovered material and related markets are explored. Through interviews and secondary data, it is highlighted that despite the lower mechanical properties, grinded material finds applications in traditional processes, cement kilns and new products. It is also found that pyrolysed fibres can be used as insulation material and oils can be easy to distil. Pyrolysis is a relatively expensive process, thereby, distillation of the oils and energy recovery are necessary enablers towards commercial viability. Mechanically grinded material presents the lowest process cost with ca. €90/tonne, thus, below landfilling and incineration and falling within the attention of private businesses. Numerous markets are available for recovered materials from wind turbine blades, primarily for grinded products and secondly for pyrolysed glass fibre.Efforts to tackle diffuse water pollution from agriculture are increasingly focusing on improving farmers' awareness under the expectation that this would contribute to adoption of best management practices (BMPs) and, in turn, result in water quality improvements. To date, however, no study has explored the full awareness-behaviour-water quality pathway; with previous studies having mostly addressed the awareness-behaviour link relying on disciplinary approaches. Using an interdisciplinary approach, we investigate whether awareness-focussed approaches to mitigating diffuse water pollution from agriculture indeed result in water quality improvement, addressing the pathway in full. We worked with Dŵr Cymru Welsh Water (a water and waste utility company in the UK) on a pesticide pollution intervention programme, referred to as "weed wiper trial". The main goal of the trial was to raise farmers' awareness regarding pesticide management practices and to promote uptake of BMPs to tackle the rising concentrations o, other psychosocial, economic, agronomic factors, catchment and weather conditions also influenced farmer's ability to implement BMPs and thus overall water quality improvements.The transport of organic contaminants in groundwater might be greatly affected by coexistence of dissolved organic matter (DOM) from different sources. In this study, the effects of endogenous and exogenous DOMs (referred to as DOMen and DOMex, respectively) on sorption behavior of bisphenol A (BPA) onto two reference soils were investigated by batch experiments and microscopic characterization. The results showed that BPA sorption onto soils was dominated by soil organic matter content and affected by DOM properties. The effect of DOMen on BPA sorption was also related to the inorganic components of the two soils. The decrease of organic matter content reduced the sorption capacity of fluvo-aquic soil. However, because the content of available inorganic components in black soil was high, after removing DOMen, more inorganic sites were exposed to increase the sorption capacity. In addition, DOMen could form complexes with BPA in solution, thus the removal of DOMen promoted BPA sorption onto black soil. Under the experimental conditions, contribution of DOMex to the total sorption of BPA onto both soils was not more than 30%. Results of dialysis experiments and soil sorption experiments indicated that effects of coexisting DOMex on BPA sorption was related to the affinity of DOMex to soils and complexation of BPA and DOMex. Since the affinity of DOMex to fluvo-aquic soil was relatively low, the complex of BPA and DOMex in solution was the main inhibition mechanism for BPA sorption. For black soil, higher complexation proportion of BPA with DOMex adsorbed onto soil which promoted BPA sorption onto soil. The findings are of significance for understanding the co-migration of DOM with BPA through soils.Water dominated gullies formation and associated land degradation are the foremost challenges among the planners for sustainability and optimization of land resources. This type of hazardous phenomenon is utmost vulnerable due to huge loss of surface soil in the sub-tropical developing countries like India. The present study has been carried out in rugged badland topography of Garhbeta-I Community Development (C.D.) Block in eastern India for assessing the gully erosion susceptibility (GES) mapping and optimization of land use planning. The GES mapping is the first and foremost steps towards minimization this adverse affect and attaining sustainable development. In this study we also describe the importance of plantation and alternation of ex-situ tree species with in-situ species for minimizes the erosional activity. To meet our research goal here we used two prediction based machine learning algorithm (MLA) namely random forest (RF) and boosted regression tree (BRT) and one optimization model of Ecogeography based optimization (EBO). The research study also carried out by using a total of 199, in which 139 (70%) and 60 (30%) gully head-cut points were used for training and validation purposes respectively and treated as dependent factors, and twenty gully erosion conditioning factors as independent variables. These models are validated through receiver operating characteristics-area under the curve (ROC-AUC), accuracy (ACC), precision (PRE) and Kappa coefficient index analysis. The validation result showed that EBO model with the highest values of AUC-0.954, ACC-0.85, PRE-0.877 and Kappa-0.646 is the most accurate model for GES followed by BRT and RF. check details The outcome results should help for the sustainable development of this rugged badland topography.