Influencing factors and a proposed evaluation methodology for predicting groundwater contamination potential from stormwater infiltration activities.

To offset the detrimental effects of urbanization on groundwater recharge, stormwater managers are focusing on infiltrating much of the runoff from a site that was generated because of development. For this to be effective, tools are required to predict the potential for contamination resulting from this infiltration for many site conditions, because infiltration should be stressed in areas where the least potential for causing groundwater contamination exists. Factors that influence contamination potential include the pollutant concentration in the runoff directed to the infiltration device and the ability of the underlying soil to remove the pollutant. The groundwater contamination potential of some pollutants, even those with high concentrations and moderate-to-high mobilities, can be reduced with proper pretreatment before infiltration. This paper presents a methodology that can be used to evaluate infiltration as an management option and introduces two different levels of models that could be used to evaluate contamination potential.     

Simultaneous spectrophotometric determination of crystal violet and malachite green in water samples using partial least squares regression and central composite design after preconcentration by dispersive solid-phase extraction

In this paper, a simple, fast, and inexpensive method is introduced for the simultaneous spectrophotometric determination of crystal violet (CV) and malachite green (MG) contents in aquatic samples using partial least squares regression (PLS) as a multivariate calibration technique after preconcentration by graphene oxide (GO). The method was based on the sorption and desorption of analytes onto GO and direct determination by ultraviolet–visible spectrophotometric techniques. GO was synthesized according to Hummers method. To characterize the shape and structure of GO, FT-IR, SEM, and XRD were used. The effective factors on the extraction efficiency such as pH, extraction time, and the amount of adsorbent were optimized using central composite design. The optimum values of these factors were 6, 15 min, and 12 mg, respectively. The maximum capacity of GO for the adsorption of CV and MG was 63.17 and 77.02 mg g^?1, respectively. Preconcentration factors and extraction recoveries were obtained and were 19.6, 98% for CV and 20, 100% for MG, respectively. LOD and linear dynamic ranges for CV and MG were 0.009, 0.03–0.3, 0.015, and 0.05–0.5 (μg mL^?1), respectively. The intra-day and inter-day relative standard deviations were 1.99 and 0.58 for CV and 1.69 and 3.13 for MG at the concentration level of 50 ng mL^?1, respectively. Finally, the proposed DSPE/PLS method was successfully applied for the simultaneous determination of the trace amount of CV and MG in the real water samples.     

House dust as a source of human exposure to polybrominated diphenyl ethers in Kuwait

This study reports concentrations of polybrominated diphenyl ethers (PBDEs) in dust samples collected from 17 homes in Kuwait. PBDEs were measured in all homes investigated with mean summation operatorPBDEs concentration ranging from 1 to 393 ng g(-1), with a geometric mean of 76 ng g(-1). The dominant congener in all samples was BDE 209 constituting ca. 85% of the summationPBDEs followed by BDE 99 (5%), BDE 47 (4.5%), and BDE 183 (2%). The congener mixture in dust is dominated by those in deca and penta formulations. Using the measured concentrations and estimates of dust ingestion rates for children and adults, estimated human non-dietary exposure based on mean PBDE levels were 14.8 and 1.5 ng day(-1) for children and adults, respectively. The 10-fold difference in exposure estimates between children and adults in this study supports previous reports that children are at greater risk from pollutants that accumulate indoors. The ubiquitous distribution of these chemicals as noted in this study highlights the fact that we are continuously exposed to low doses of chemicals in the indoor environment.     

The hotelling valuation of natural resources: some further results

This paper tests the Hotelling Valuation Principle (HVP) for natural resources using data from oil and gas ‘pure plays’ such as royalty trusts and master limited partnerships. The results support the HVP which specifies that the value of any mineral reserve may be predicted by the market price of the resource, net of extraction costs. Regression results also indicate that a Box-Cox transformation of variables provide a better means of estimating the functional relationship between the value of an exhaustible natural resource and its market price.     

MODEL PREDICTIONS OF WATERSHED HYDROLOGIC COMPONENTS: COMPARISON AND VERIFICATIION1

ABSTRACT: Model predictions of the relatively simple soil compartment model SESOIL are compared with those of the more data-intensive terrestrial ecosystem hydrology model AGTEHM. Comparisons were performed using data from a deciduous forest stand watershed, a grassland watershed, and two agricultural field plots. Good agreement was obtained between model predictions for annual values of infiltration, evapotranspiration, surface runoff, and groundwater runoff. SESOIL model predictions also compare well with empirical measurements at the forest stand and the grassland watersheds.     

Legitimation Struggles in National Park Spaces: The Banff Bow Valley Round Table

This paper presents an in-depth analysis of a multi-stakeholder process, the Banff Bow Valley Round Table (BBVRT) convened by a federally appointed task force in 1995 to provide public input and participation in the Banff Bow Valley Study (BBVS). The purpose of this initiative was to address environmental concerns and conflict over governance, development and growth in Banff National Park, Canada. A key finding from the analysis discussed in this paper is how various participants struggled for legitimation at the negotiation table, and how the discourses of science and instrumental reason served to empower certain interests and agendas in the process. While the discursive appropriation of ecological science enabled some interests to dominate and to legitimize their concerns, this strategy may have intangible and costly consequences for consensus-based processes and for society overall. Analysis of these discursive struggles demonstrates the challenge of bringing ecology and the general public to the same negotiating table in a meaningful way. It shows the conflicting roles and identities of environmental groups who aspire to re-present nature (as a stakeholder) at the negotiating table. Recommendations for multi-stakeholder processes in planning and governance of national parks are presented, along with social implications in the context of historic human-environment dualism and conflict.     

Using Vegetation Analysis to Facilitate the Selection of Conservation Sites in Eastern Paraguay

This study demonstrates the use of vegetation analysis in the selection of priority areas for conservation. The analysis is based on field data derived from narrow rectangular sample plots and includes information from the database of Paraguay's Conservation Data Center. Ten 100-m² sample plots were laid out for each survey site. We compared three sites, Mbaracayú, Tarumá, and Parabel, all forests located in the ecoregion of Selva Central in eastern Paraguay. Subtropical and physiognomically similar, the sites are dominated by a single species, either Sorocea bonplandii or Actinostemon concolor , but differ in species richness. Vegetation analysis permitted us to calculate the total number of species, including liana species, the number of economic plants, and the number of rare, uncommon, and vulnerable species, and thus to quantify the conservation worthiness of the candidate sites. Our study pinpoints Mbaracayú as a mature, resource-rich forest with the highest habitat and plant species diversity and several local endemics. We maintain that it is the area of Paraguay's Selva Central most important for conservation.