Temperature effects on chlorinated-benzene sorption to hydrophobic surfaces

Sorption and desorption of chlorinated benzenes were investigated in a series of column experiments using porous silica that had phenyl groups bonded to the surface; the mass-fraction organic carbon was 0.016. Both sorption and desorption curves were asymmetrical, but they were mirror images of each other for most experiments, indicating good sorption reversibility. The resulting breakthrough curves were fit to an advection-dispersion mathematical model, with sorption as a first-order, reversible reaction. Significantly greater tailing in the chlorinated-benzene breakthrough curves versus the salt-tracer ones was evidence of slow sorption and desorption. ΔH° values for di-, tri- and tetra-chlorobenzene were 13–21 kJ mol₋₁, indicative of strong van der Waals binding. Despite these small values, slow desorption was attributed to slow binding and release rather than diffusion through the bonded organic phase. Desorption rates decreased in going from di- to tri- to tetra- to penta-chlorobenzene. This decrease was significantly more than the decrease in molecular-diffusion coefficients in the same series, suggesting a chemical rather than a physical rate control. There was less difference in sorption rates through the series, suggesting an inverse relation between partition coefficient and desorption rate. ΔG° values were −17 to −23 kJ mol⁻¹, giving TΔS° values of about 4 kJ mol⁻¹. Thus enthalpic contributions to sorption appear to be of greater importance than entropic contributions.     

MULTIVARIATE TREND TESTING OF LAKE WATER QUALITY1

ABSTRACT: Multivariate methods of trend analysis offer the potential for higher power in detecting gradual water quality changes as compared to multiple applications of univariate tests. Simulation experiments were used to investigate the power advantages of multivariate methods for both linear model and Mann-Kendall based approaches. The experiments focused on quarterly observations of three water quality variables with no serial correlation and with several different intervariable correlation structures. The multivariate methods were generally more powerful than the univariate methods, offering the greatest advantage in situations where water quality variables were positively correlated with trends in opposing directions. For illustration, both the univariate and multivariate versions of the Mann-Kendall based tests were applied to case study data from several lakes in Maine and New York which have been sampled as part of EPA's long term monitoring study of acid precipitation effects.     

Urban renewal and environmental planning in Hong Kong

Summary The grave shortage of land suitable for development has always been a major constraint on urbanisation in Hong Kong. Rather lax or inappropriate planning controls in the past have resulted in haphazard city growth, leaving extensive areas of densely-packed tenement slums. Recent sluggish attempts at urban renewal have brought little relief. The objectives of environmental planning to rejuvenate the old districts are assessed in relation to their limitations and potential. The problems and opportunities of employing comprehensive redevelopment to upgrade environmental quality with reference to building stocks in the pre-war and post-war private residential, public housing and obsolete industrial sectors are evaluated. The prospects of environmental improvement through new institutional framework and legislative measures are discussed.     

Detecting acid precipitation impacts on lake water quality

The United States Environmental Protection Agency is planning to expand its long-term monitoring of lakes that are sensitive to acid deposition effects. Effective use of resources will require a careful definition of the statistical objectives of monitoring, a network design which balances spatial and temporal coverage, and a sound approach to data analysis. This study examines the monitoring objective of detecting trends in water quality for individual lakes and small groups of lakes. Appropriate methods of trend analysis are suggested, and the power of trend detection under seasonal (quarterly) sampling is compared to that of annual sampling. The effects of both temporal and spatial correlation on trend detection ability are described.     

A dynamical approach to evaluate risk in resource management.

With the depletion of many natural resources, we are growing aware of the need to understand the risks that stem from different management decisions. Here, we outline an approach to test the ability of different dynamical signatures to characterize time-series data: how likely is it that a natural population is declining, sustainable, or increasing, and at what rates are these temporal changes likely occurring? These dynamical signatures can serve as a robust foundation on which to formulate alternative scenarios in a decision analysis. They take account of much of the uncertainty in model parameters and have precise mathematical underpinnings with associated risks. We present methods to evaluate the likelihood of these scenarios, and ways that the analysis can be graphically represented. We discuss different ecological factors such as climate variability, life history, ecosystem interactions, and a changing population age structure, all of which impact the dynamics of natural populations. Considering the types of dynamical signatures that emerge from these factors can change our understanding of risk and the decisions that we make.     

Applying the concept of agrodiversity to indigenous soil and water conservation practices in eastern Kenya

Agrodiversity – the diversity of cropping systems, crop species and farm management practices has received increasing attention in recent years as a way of spreading risk and supporting food security in resource-poor farming systems. This paper discusses the dynamic aspects of indigenous soil and water conservation (ISWC) practices in a semi-arid part of Kenya. The objective is to show the range of sources of variability and diversity that prevail in this environment, the responses of farmers to this variability, and the way farmers' rationalise the heterogeneity of soil and water management practices. Methods used included participatory surveys and evaluations, on-farm monitoring, soil and rainfall data analyses, and questionnaire surveys. Sources of variability affecting cropping systems and land management practices included rainfall, soil fertility, farmer resource level and farm productivity. A decision-tree was developed to examine how biophysical and socio-economic variability affected farmers' choice of ISWC. Different ISWC structures dominated on sandy and stony soils, respectively. Low resource farmers tended to choose cheaper and less labour demanding techniques, and constructed smaller ISWC structures than better endowed farmers. The largest diversity of ISWC practices was found on newly-opened land with mixed soils. Moreover, on-farm productivity levels indicated that costly investments in SWC are unfeasible, as this would further increase the risk for negative returns to farming. The wider implications of the results are that SWC interventions in marginal areas should build on the existing agrodiversity and an understanding of the complex interactions between environmental and socio-economic factors that give rise to differences in farming systems and land management practices.