Contaminant degradation in physically and chemically heterogeneous aquifers

This paper examines the importance of the correlation between hydraulic conductivity (K) and degradation rate constant (k) during the transport of reactive contaminants in heterogeneous aquifers. We simulated reactive transport in an ensemble of two-dimensional heterogeneous aquifers. Two sets of transport simulations were conducted: one in which a perfect positive correlation was assumed between ln(K) and ln(k), and one in which a perfect negative correlation was assumed. We found that the sign of the correlation has important consequences for the contaminant transport. Qualitatively, a negative correlation leads to significantly more pronounced "fingering" of the contaminant plume than does a positive correlation, with potentially important consequences for downgradient receptors. Quantitatively, the expected behavior (as quantified by the contaminant mass remaining in the aquifer) is statistically different between the positive and negative cases: on average, more contaminant mass persists when K and k are negatively correlated. Also, the negative correlation leads to more variability between realizations of the ensemble, whereas a positive correlation induces relatively little variability between realizations. We discuss the implications of these findings for the management of contaminated aquifers.     

Methods for the assessment of health risk induced by contaminants in atmospheric particulate matter: a review

Environmental Chemistry Letters - Air pollution is a major issue for human health with more than 7 million premature deaths per year due to indoor and outdoor air pollution. Exposure to particulate...     

On the successful use of a simplified model to simulate the succession of toxic cyanobacteria in a hypereutrophic reservoir with a highly fluctuating water level

Many freshwater bodies worldwide that suffer from harmful algal blooms would benefit for their management from a simple ecological model that requires few field data, e.g. for early warning systems. Beyond a certain degree, adding processes to ecological models can reduce model predictive capabilities. In this work, we assess whether a simple ecological model without nutrients is able to describe the succession of cyanobacterial blooms of different species in a hypereutrophic reservoir and help understand the factors that determine these blooms. In our study site, Karaoun Reservoir, Lebanon, cyanobacteria Aphanizomenon ovalisporum and Microcystis aeruginosa alternatively bloom. A simple configuration of the model DYRESM-CAEDYM was used; both cyanobacteria were simulated, with constant vertical migration velocity for A. ovalisporum, with vertical migration velocity dependent on light for M. aeruginosa and with growth limited by light and temperature and not by nutrients for both species. The model was calibrated on two successive years with contrasted bloom patterns and high variations in water level. It was able to reproduce the measurements; it showed a good performance for the water level (root-mean-square error (RMSE) lower than 1 m, annual variation of 25 m), water temperature profiles (RMSE of 0.22–1.41 °C, range 13–28 °C) and cyanobacteria biomass (RMSE of 1–57 μg Chl a L^?1, range 0–206 μg Chl a L^?1). The model also helped understand the succession of blooms in both years. The model results suggest that the higher growth rate of M. aeruginosa during favourable temperature and light conditions allowed it to outgrow A. ovalisporum. Our results show that simple model configurations can be sufficient not only for theoretical works when few major processes can be identified but also for operational applications. This approach could be transposed on other hypereutrophic lakes and reservoirs to describe the competition between dominant phytoplankton species, contribute to early warning systems or be used for management scenarios.     

Spider management in agroecosystems: Habitat manipulation

Based on the literature and on work conducted in Israel, the management of spider populations through habitat manipulation was found to be very helpful in controlling pest insects in various crops. Spiders were found to be reduced or eliminated by non-selective insecticides, although some resistance has been noted     

Significant work events and counterproductive work behavior: The role of fairness,emotions, and emotion regulation

In this diary study, we investigated multi‐level predictors of daily counterproductive work behavior (CWB) relying on the theoretical frameworks of affective events theory and the emotion‐centered model of CWB. We assessed significant work events, event‐based fairness perceptions, negative emotional reactions to work events, and employee CWB over a 10‐day period. We tested within‐person relations predicting CWB, and cross‐level moderating effects of two emotion regulation strategies (suppression and reappraisal). Results from a multi‐level path analysis revealed that significant work events had both direct and indirect effects on negative emotional reactions. Further, negative emotional reactions in turn mediated the relationships between significant work events and all forms of daily CWB as well as the relationship between event‐based fairness perceptions and daily CWB‐O. Results also supported the moderating role of reappraisal emotion regulation strategy on relations between significant work events and negative emotional reactions. Less support, however, was found for the moderating influence of suppression on the link between negative emotional reactions and CWB. Among the broad work event categories we identified, our supplemental analyses revealed that negative work events involving interactions with supervisors elicited the highest levels of employee negative emotional reactions. We discuss the theoretical and practical implications of these findings. Copyright © 2014 John Wiley & Sons, Ltd.