Polluted soils are a problem of major concern impacting the health of the global environment and human beings. Without any safe technology for polluted soil treatment, most of the contaminated soils go to landfill especially when metals are the pollutants. This research compares the performance of non ionic (Brij 35 and Tween 80) and amphoteric (cocamydopropyl hydroxysultaine (CAS) and coamydopropylbetaine (BW)) surfactants for polycyclic aromatic hydrocarbons (PAHs) and metals (mainly Pb) removal from three contaminated soils. Best removal yields have been obtained using 0.5% (w/w) of CAS surfactant with 46 ± 2% for PAHs and 21 ± 5% for Pb simultaneously removed. Sodium chloride and EDTA have been shown to considerably enhance Pb solubilization (respectively 55 ± 5% and 35 ± 12% for [NaCl] = 5.5 M and [EDTA] = 0.025 M). Flotation technology has been tested as a separating technique of PAHs micelles and Pb from aqueous solution and has given good results for both contaminants (54 ± 7% for both PAH and Pb, using [CAS] = 0.5%, [NaCl] = 5.5 M, pH = 3). Finally, this study proposes a soil washing process using flotation to treat soil polluted with both organic and inorganic compounds. The suggested process concentrates the organic compounds in the froth and the inorganic pollutants in the liquid fraction.

A factorial-design-based fuzzy-stochastic modeling system (FFSMS) was developed in this study to systematically investigate impacts of uncertainties associated with hydrocarbon contaminant transport in subsurface through integration of a compositional model, factorial design method, fuzzy modeling approach and Monte Carlo simulation technique. The goodness of fit of the numerical model was analyzed by means of a pilot-scale experimental system. Once the model was calibrated, it was used in order to predict the contaminant concentration depending on values of several parameters including intrinsic permeability, porosity, and longitudinal dispersivity. These parameters were imprecisely known, and such an imprecision was handled by means of both fuzzy sets and/or stochastic theory. The individual and joint effects of these uncertain parameters were analyzed by modeling the dependence between the prediction and the imprecise parameters (factors) through factorial design analysis. The study results indicated that the uncertainties associated with input parameters had significant impacts on modeling outputs; the degree of influence of each model input varied significantly with the level of its imprecision. The study results demonstrated that proposed FFSMS can efficiently analyze the impact of different uncertainty sources associated with different hydrogeological parameters on the prediction of the hydrocarbon concentrations in groundwater. Such studies would provide strong basis for performing successful risk assessment and efficient remediation design for the management of contaminated site.

Metal concentrations in a sediment core from a moat outside Osaka Castle in Japan were measured by ICP-MS following a microwave extraction method. Concentrations of metals in the sediment core samples peaked around 1945 when the World War II ended. This is in part due to great air raids on Osaka. In cluster analysis using metal concentrations, the fractions of sediment core samples were classified into two groups, representing natural sources (1795-1915) and anthropogenic sources (1922-1976), respectively. Results of lead isotope ratios also showed the anthropogenic influences from 1915 by changing the ratio values compared to those of natural sources. In addition, several components contributing to metal concentrations were identified by principal component analysis. The main component was controlled by natural sources and a decrease of the component score corresponded to an increased influence from anthropogenic sources. The largest impact of anthropogenic sources was shown around 1945.

This paper introduces a new stormwater quality improvement device, called the "Green Gully" that collects, purifies, and reuses stormwater throughout an automated system. The working principal of the Green Gully is divided into two parts. Firstly, diverting stormwater from roadways to the diverter channel by filtering litter and secondly, watering the gardens and roadside plants with the stormwater that is collected from diverter channel. Stormwater treatment is an important step before reusing the water for gardening purpose. Different treatment levels (primary, secondary, and tertiary) are applied depending on the application to make water suitable for long-term storage and watering purposes. In this study, stormwater samples from three sites of Rockhampton City have been tested and analyzed to determine the quality of water for reuse. The parameters tested were electrical conductivity, pH, salinity, concentration of oil and grease, total suspended solid, turbidity, alkalinity, sodium, and chloride. The results of on-site stormwater quality tests are compared with the Australian and New Zealand Environment Conservation Council (ANZECC) standards and quality data available in the literature for each parameter suitable for irrigating roadside plants and gardening. Although, the results of this study is comparable with the literature data, a significantly different quality data are found compared to ANZECC standards. However, the samples collected for this study gave a basic understanding of stormwater quality issues for potential inflows to the Green Gully. Further study is recommended in order to establish mathematical link between raw stormwater quality and water quality required for gardening and irrigating roadside plants and for adopting required level of treatment facility with Green Gully for purifying and reusing water through an automated network system.

Due to the dry Mediterranean climate in Cyprus, particulate matter is resuspended from soils and other surfaces. From November 2002 to August 2003, gravimetric PM₁₀ measurements were carried out at three characteristic sites (traffic, residential and rural). A significant seasonal trend with high winter concentrations was observed at the traffic site. Special events, e.g. long-range transport of Sahara dust storms, were recorded over traffic, residential and rural areas in the order of six to eight events per year, with a major frequency in summer and spring periods. This contributes to the increase of 24-h EU limit value exceedances for PM₁₀ at the three investigated sites. The origin of the PM₁₀ load was determined by enrichment factors based on analyses of the local soil deposition at the investigated sites. Furthermore, positive matrix factorisation modelling was applied to find the sources of PM₁₀. Results indicate that the major emission sources affecting the PM₁₀ load were mineral soil, sea salt, road dust, oil combustion, secondary pollutants and gasoline vehicles. The natural contribution (local mineral soil and sea salt) at the three sites was in the range of 7-9 μg m⁻³ in PM₁₀. Besides the Sahara dust storms and natural background concentrations, the vehicular pollution was found as the largest contributor (12-14 μg m⁻³) to PM₁₀ load at the traffic site.

Airborne particulate matter (PM) extracts were investigated for their content of organic compounds and for the direct and oxidative DNA damage induced on lung epithelial cells A549. PM₁₀ was seasonally collected at two monitoring sites (Stations 1 and 2), characterized by different traffic loads. The cells were exposed for 30 min to extracts of PM₁₀ diluted at 0.025%, 0.05%, and 0.1% for summer samples, and at 0.05%, 0.1%, and 0.15% for winter samples. Oxidative and direct DNA damage were evaluated by formamidopyrimidine glycosylase (fpg) comet assay analyzing tail moment (TM) values from fpg-enzyme-treated cells (TMenz) and enzyme untreated cells (TM) respectively and by comet percentage analysis. Measurements relating to Station 2 showed higher levels of polycyclic aromatic hydrocarbons (PAHs), and their methyl-(methyl-PAHs) and nitro-(nitro-PAHs) derivatives in both the seasons. Nitro-PAH concentrations were higher in summer than in winter at both the stations. We found a significant increase of comet percentages at the highest dose of extract from both stations in summer and from Station 2 in winter. The TM and TMenz values relative to the summer sampling showed an early oxidative DNA damage induction also followed by direct DNA damage more evident at Station 2, that seems to correlate with the presence of higher nitro-PAH concentrations during the warm season. At both monitoring stations, the results from winter sampling campaign showed a direct DNA damage induction at 0.1% of extract and oxidative-direct DNA damage at the highest dose (0.15%).

Municipal wastewaters with industrial discharges typically contain heavy metals which may inhibit the biological processes in wastewater treatment plants. In this study, copper inhibition on strict nitrifiers in a suspended growth (SG) reactor and a combined attached and suspended growth (A''SG) reactor was compared. Both reactors were subjected to a continuous copper input of 5 mg/L. When the accumulated total copper concentration in the reactor were approximately 25 mg/L (due to sorption to the biomass), a sharp decrease in nitrification (increase in inhibition) were observed in the SG reactor while nitrification remained the same for the A''SG reactor indicating that attached growth systems were more robust against copper toxicity than suspended growth systems. Using MINTEQA2, the concentrations of various chemical species were estimated and, of the different species present, adsorbed copper in the biomass and aqueous Cu(NH₃)₄ ⁺² were found to positively correlate with percent inhibition of nitrification. Based on the changes in the concentrations of the two species, Cu(NH₃)₄ ⁺² was probably the main chemical species responsible for inhibition of nitrification. This study has implications for wastewater treatment plants treating wastewaters with high ammonia and copper present.

Field measurements were conducted using one to three sheets of a poly-tetrafluoroethylene (PTFE) membrane resistance-type passive sampler (N type sampler) and diffusion length resistance-type sampler (O type sampler) to compare sampling resistance. Acidic gases such as nitric acid (HNO₃), hydrochloric acid (HCl), sulfur dioxide (SO₂), ozone (O₃), ammonia (NH₃), nitrogen dioxide (NO₂), and nitrogen oxides (NO X ) were sampled using five types of capturing filter paper: plain polyamide filter ([Greek Phi symbol]47 mm) and cellulose filters ([Greek Phi symbol]14.5 mm) impregnated with NaNO₂ + K₂CO₃, H₃PO₄, triethanolamine (TEA), and TEA + 3-oxo-2-phenyl-4,4,5,5-tetramethylimidazolin-1-oxyl (PTIO). Four sets of the samplers were exposed to the atmosphere for 4 or 5 weeks through four seasons in FY 2006. The amount of gas components captured occurred in the order of NO X > O₃ > NO₂ > NH₃ > SO₂ > HCl > HNO₃ for all of the filters in spring and autumn. However, the amount of NH₃ captured was large in summer and the amount of NO X was large in winter. The relative standard deviations (RSDs) were less than 10% except for NH₃ with the O type sampler in spring and autumn, and for HCl of both type samplers in winter. The RSDs were not dependent on the numbers of PTFE sheets for gas species and season. When the N type sampler mounted on one PTFE sheet was normalized to unit, the resistance values of two and three PTFE sheets for HNO₃ were 2.3-2.4 and 4.2-6.1, respectively, while the values of two and three sheets for SO₂, O₃, HCl, and NH₃, were 1.1-1.5 and 1.3-1.9, respectively. There was little variation in resistance for NO₂ and NO X , as shown by the values of 1.0-1.1 and 0.9-1.2, respectively. For comparison with the O type sampler, the resistances values for SO₂, O₃, HCl, NH₃, NO₂ and NOX were 4.9-5.8, 2.5-3.2, 2.7-4.5, 4.1-12.6, 1.4-1.9, and 1.2-2.4, respectively. The resistance values of the O type sampler were larger than those of the N type samplers. The collection of HNO₃ was decreased 25% per PTFE sheet, while the decreases for SO₂, O₃, HCl and NH₃ were moderate at 12-17%. In contrast, collection of NO₂ and NO X was minimally affected by the number of PTFE sheets. The concentration of HNO₃, SO₂, HCl and NH₃ in the N type passive sampling method was compared with that of the four-stage filter pack method. The passive method for HNO₃, SO₂ and HCl was in fair agreement with the filter pack method. For NH₃, the concentration by passive method was lower than that by the active method.

Understanding wetland hydrogeology is important as it is coupled to internal geochemical and biotic processes that ultimately determine the fate of potential contaminant inputs. Therefore, there is a need to quantitatively understand the complex hydrogeology of wetlands. The main objective of this study was to improve understanding of saturated groundwater flow in a forested riparian wetland located on a golf course in the Lower Pee Dee River Basin in South Carolina, USA. Field observations that characterize subsurface wetland flow critical to solute transport originating from storm-generated runoff are presented. Monitoring wells were installed, and slug tests were performed to measure permeabilities of the wetland soil. A field-scale bromide tracer experiment was conducted to mimic the periodic loading of nutrients caused by storm runoff. This experiment provided spatial and temporal data on solute transport that were analyzed to determine travel times in the wetland. Furthermore, a 3-D numerical, steady-state flow model (MODFLOW) was developed to simulate subsurface flow in the wetland. A particle tracking model was subsequently used to calculate solute travel times from the wetland inlet to the outlet based on flow modeling results. It was evident that observed tracer breakthrough times were not typical of these measured wetland soil matrix conductivity values. Based on surface water sampling results at the wetland outlet, tracer arrival time was about 9 h after the injection of the tracer. These results implied an apparent mean K value of 2,050 m/day, which is 152 times larger than the mean of the measured values using slug tests (13.4 m/day). Modeling efforts clearly demonstrated this implied preferential flow behavior; particle travel times resulting from the calibrated flow model were in the order of hundreds of days, while actual travel times in the wetland were in the order of hours to a few days. This significant difference in travel times was attributed to the presence of macropores in the form of dead root channels and cavities forming a pipe-flow network. The analyses presented in this study resulted in an estimate of the ratio of matrix permeability to matrix plus macropore permeability of approximately 1/150. Eventually, the tracer test and resulting travel times between various points in the wetland were critical to understanding the true wetland flow dynamics. The final conceptual model of the hydraulic properties of the wetland soils comprised a low permeability matrix containing a web of high K macropores. Simulation of tracer transport in this system was possible using a flow model with significantly elevated K values.

In this paper a novel methodology for estimating the parameters for an extended biokinetic model (Peev, Schönerklee, and De Wever, Water Science and Technology, 2004) of micropollutant removal in wastewater treatment is presented. In particular, the work concentrates on parameter estimation of the micropollutant degradation sub-model by specialised microorganisms in the case when only substrate measurement data are available. We have proven the structural identifiability of the model and have developed a new approach allowing practical identifiability on the basis of multiple substrate degradation curves with different initial concentrations. Experimental and related numerical methods for unambiguous parameter estimation have been developed. Finally, by means of simulated pseudo-experiments we have found convincing indications that the proposed algorithm is stable and yields appropriate parameter estimates even in unfavourable regimes.