Releasing characteristics of phosphorus and other substances during thermal treatment of excess sludge

The releasing characteristics of phosphorus,nitrogen compounds,organics,and some metal cations during thermal treatment of excess sludge were investigated.It was found that during heating not only phosphorus,but also nitrogen compounds,organics,and some metal cations could be released in abundance.The maximum orthophosphate (ortho-P) release of about 90 mg/L in concentration was observed at 50℃in 1 h.Except for volatile fatty acids (VFAs),comparatively little total nitrogen (TN),total organic carbon (TOC),and metal cations were released at the same time.Such results might favor further process of phosphorus recovery.VFAs were considerably released only at 50℃.Acetic,butyric,and propionic acid were the most abundant components in turn and their releasing profiles exhibited good linear relationship with time (R~2=0.9977,0.9624,and 0.8908,respectively).The concentrations of Mg~(2 ) and K~ increased with time and temperature during thermal treatment,but Ca~(2 ) decreased.The release of Mg~(2 ) and K~ agreed well with TP release (R~2=0.9892 and 0.9476,respectively).Temperature in the experimental range had very little impact on the linear relationships, especially of Mg~(2 ).Moreover,the parameter of mixed liquor suspended solids (MLSS) was found to be an important factor for thermal sludge treatment as the released ortho-P and total phosphorus (TP) at 50℃increased more than one-fold when MLSS was increased from 4000 to 8000 mg/L.     

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake： A S-year study

Understanding the process of the changing phytoplankton patterns can be particularly useful in water quality improvement and management decisions. However, it is generally not easy to illustrate the interactions between phytoplankton biomass and related environmental variables given their high spatial and temporal heterogeneity. To elucidate relationships between them, in a eutrophic shallow lake, Taihu Lake, relative long-term data set of biotic and abiotic parameters of water quality in the lake were conducted using multivariate statistical analysis within seasonal periodicity. The results indicate that water temperature and total phosphorus （TP） played governing roles in phytoplankton dynamics in most seasons （i.e. temperature in winter, spring and summer; TP in spring, summer and autumn）; COD （chemical oxygen demand） and BOD （biological oxygen demand） presented significant positive relationships with phytoplankton biomass in spring, summer and autumn. However, a complex interplay was found between phytoplankton biomass and nitrogen considering significant positive relationships occurring between them in spring and autumn, and conversely negative ones in summer. As the predatory factor, zooplankton presented significant grazing-pressure on phytoplankton biomass during summer in view of negative relationship between them in the season. Significant feedback effects of phytoplankton development were identified in summer and autumn in view that significant relationships were obser,qed between phytoplankton biomass and pH, Trans （transparency of water） and DO. The results indicate that interactions between phyto：plankton biomass and related environmental variables are highly sensitive to seasonal periodicity, which improves understanding of different roles of biotic and abiotic variables upon phytoplankton variability, and hence, advances management methods for eutrophic lakes.     

Network and system diagrams revisited: Satisfying CEA requirements for causality analysis

Published guidelines for Cumulative Effects Assessment (CEA) have called for the identification of cause-and-effect relationships, or causality, challenging researchers to identify methods that can possibly meet CEA's specific requirements. Together with an outline of these requirements from CEA key literature, the various definitions of cumulative effects point to the direction of a method for causality analysis that is visually-oriented and qualitative. This article consequently revisits network and system diagrams, resolves their reported shortcomings, and extends their capabilities with causal loop diagramming methodology. The application of the resulting composite causality analysis method to three Environmental Impact Assessment (EIA) case studies appears to satisfy the specific requirements of CEA regarding causality. Three “moments” are envisaged for the use of the proposed method: during the scoping stage, during the assessment process, and during the stakeholder participation process.     

Studies on the Uptake of Heavy Metals by Various Plant Species on Chromite Minespoils in Sub-tropical Regions of India

The presence of heavy metals (Cr, Ni and Fe) in soil and accumulated by herbs, shrubs and trees regenerated naturally on the minewaste-dumps of Sukinda chromite mines (TISCO sector) were investigated. There was significant correlationship between Cr and Fe in the soil where a tree species (Catunaregam spinosa) occurred. Guazuma ulmifolia and Diospyros montana also did show significant correlation between leaf, stem and soil for Cr, Ni and Fe. Among the shrubs (Calotropis gigantea, Chromolaena odorata, Phyllanthus reticulatus and Woodfordia fruticosa) significant and positive correlations were obtained for Cr and Ni in soil and iron and nickel in leaf and chromium and nickel in stem. Among the annual herbs, whole plant of tephrosia purpurea and Borrevia articularis showed significant and positive correlation with chromium and nickel with the maximum correlation coefficient value. It was concluded that the above information would be useful in revegetation programmes in subtropical regions having seasonal rainfall.     

Organizational identification: Extending our understanding of social identities through social networks

Although organizational identification is founded on social identity and symbolic interactionist theories, current theories emphasize a social identity whereby organizational members categorize themselves and others based on roles and membership in an organization or work unit. In contrast symbolic interactionism, which resides in interpersonal relationships, is rarely theorized or empirically assessed in studies of organizational identification. We use survey data collected at an academic institution to explore how the strength and structure of an individual's social network both directly influences organizational identification as well as moderates the relation between social identity, or categorical, antecedents and organizational identification. Our results show that the size of an individual's network as well as the interaction between relationship strength and prestige better explain organizational identification than do antecedents based solely on categorization and social comparison processes. Thus networks of relationships, which have been a foundational but much neglected premise and process for organizational identification, are brought back into a theory of organizational identification. Copyright © 2010 John Wiley & Sons, Ltd.     

Microecosystem Analysis of the Structure and Functions of Forest Biogeocenoses

The microecosystem approach and an adequate system of quantitative methods have been used to study the relationship between the chorologic changes in the structure and functions of edificator tree stand and other components of the pine (Pinus sylvestris L.) forest cenoecosystems of the Transural and Northern Turgai regions. Significant correlations of the density of pine undergrowth with the litter thickness; of its growth with root competition, stand closeness, and, to a lower degree, photosynthetically active radiation (PAR); and of the numbers of small mammals and groups of soil mesofauna with herbaceous phytomass have been found. The possibility of the synthesis of population-ecological, synecological, and biogeocenological methods has been demonstrated.     

Prediction of liquid chromatography retention factors for α-branched phenylsulfonyl acetates using quantum chemical descriptors

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Ozone distribution in central Italy and its effect on crop productivity

The focus of the present study was to assess the ozone levels in a typical area of the Mediterranean basin, viz. Tuscany (central Italy). Eighty-thousand hourly mean ozone concentrations were recorded by 10 automatic analysers in the districts of Florence, Pisa, Lucca and Prato, from May to September 1995 to 1997. The highest daily mean concentrations were reached in Florence, with a maximum hourly average of 197 ppb. In Lucca and Pisa, the peaks were close to 100 ppb. Data from Prato were much lower. Long-term critical levels for vegetation, as set by United Nations Economic Commission for Europe (UNECE), were constantly exceeded in Florence and Pisa, occasionally in Lucca, never in Prato. The results were used to fit exposure/yield response relationships proposed by UNECE and US National Crop Loss Assessment Network for some important crops. The estimated yield losses varied in Florence from 8% for corn and alfalfa to 27% for soybean, in Pisa from 5% for corn to 24% for soybean, in Lucca from 3% for corn to 17% for soybean. A preliminary economic estimate for corn, wheat, barley, soybean, tomato and alfalfa, calculated annual damage to be 4.6 M Euro in Florence, 0.5 M Euro in Lucca and 3 M Euro in Pisa. The picture must be regarded as only partial, as exposure/yield response relationships for important Italian crops (such as grapevine and vegetables) are not available.