Given the 24-h turn-around time before swimming advisories are released, advisories issued to protect public health really only indicates ‘it may be unsafe to swim yesterday’. Predictive modelling for Escherichia coli concentrations at inflow-impacted beaches may be a favourable alternative to the current, routinely criticised monitoring approach. Using a total of 482 sets of meteorological and bacteriological data covering 14 swimming seasons, as well as environmental data of 10 inflow streams, this study developed models that could be used for predicting E. coli concentrations at five Lake Rotorua beaches. The models include predictor variables such as wind speed, antecedent rainfall, suspended solids at Puarenga, Utuhina and Ngongotaha stream inflows and particulate inorganic phosphorus concentration at Puarenga stream inflow. The combined 2011–2012 models had an average-adjusted R ² of 0.73, root mean square error (RMSE) of 0.33 logCFU/100 mL and captured 38 % of the variance in the validation data when used to predict E. coli concentrations for an additional 2 years (2013–2014). Among the individual beach models, predictive accuracy ranged from 88.89 to 92.31 % for the three beaches considered in the study. The developed models can provide a faster estimation of E. coli condition, potentially assisting local beach managers in the decision process related to swimming advisories issuance.

The potential of natural Chinese zeolite to remove ammonium from rainfall runoff following urea applications to a paddy rice field is assessed in this study. Laboratory batch kinetic and isotherm experiments were carried out first to investigate the ammonium adsorption capacity of the natural zeolite. Field experiments using zeolite adsorption barriers installed at drain outlets in a paddy rice field were also carried out during natural rainfall events to evaluate the barrier’s dynamic removal capacity of ammonium. The results demonstrate that the adsorption kinetics are accurately described by the Elovich model, with a coefficient of determination (R ²) ranging from 0.9705 to 0.9709, whereas the adsorption isotherm results indicate that the Langmuir–Freundlich model provides the best fit (R ² = 0.992) for the equilibrium data. The field experiments show that both the flow rate and the barrier volume are important controls on ammonium removal from rainfall runoff. A low flow rate leads to a higher ammonium removal efficiency at the beginning of the tests, while a high flow rate leads to a higher quantity of ammonium adsorbed over the entire runoff process.

This study aimed to assess the micronuclei formation in Tradescantia pallida var. purpurea through active and passive biomonitoring of air genotoxicity and its relation with abiotic environmental factors, and to analyze the concentrations of trace elements in flower buds and leaves, in order to determine the importance of these parameters to atmospheric quality monitoring. For 2 years, active biomonitoring was conducted with exposure of cuttings with flower buds at three sites in the metropolitan area of Porto Alegre in southern Brazil, and indoor (negative control). For passive biomonitoring, flower buds were collected from beds at the same sites. Meteorological and vehicular traffic data were recorded during the exposures. The micronuclei (MCN) frequencies obtained by active and passive biomonitoring for Canoas, Esteio, and São Leopoldo (respectively means of 5.44, 5.34, 4.17 and of 3.01, 2.47, 2.72) were significantly higher than those of the negative control. Furthermore, the sensitivity of the flower buds used for active biomonitoring was greater compared to those used for the passive biomonitoring, which was evidenced by significantly higher MCN frequencies. The multivariate analysis indicated two main components responsible for 74.58 % of the variances observed, and pointed to a strong relation between micronuclei frequency from active biomonitoring and vehicular traffic. Temperature and relative air humidity did not relate with the formation of micronuclei in both biomonitoring systems. Flower buds proved to be efficient bioaccumulators of trace elements, as they accumulated concentrations of up to three times more than the leaves.

Pharmaceutically active compounds (PhACs) are common contaminants found in surface and groundwaters, often due to their inefficient removal from wastewater treatment plants. One way in which these compounds can be removed is via aerobic cometabolism, a process that involves oxygenases produced by microorganisms. Limited work has been done examining the efficacy of cometabolism in the removal of PhACs. Therefore, the aim of this work was to investigate the use of an alkane (pentane) in the aerobic cometabolic transformations of paracetamol, ibuprofen, naproxen, diclofenac, and nimesulide. Both paracetamol and ibuprofen (single aromatic compounds) were readily transformed, with net specific biodegradation rates equal to 1.6 and 3.2 μmol/gcₑₗₗ/day, respectively. Conversely, the two aromatic ring PhACs showed slower (naproxen and nimesulide) or no transformation (diclofenac). In addition, four of the tested PhACs (ibuprofen, paracetamol, naproxen and nimesulide) did not inhibit pentane uptake.

In order to enhance the oxidation and adsorption capacity of catalyst, two kinds of activated carbon (AC) are mechanically mixed with V₂O₅-WO₃/TiO₂ catalyst respectively. In this study, the mixtures (M-1: catalyst mixing with AC based on lignite; M-2: the one on coconut shell) are investigated to destroy high concentration (9.8 ng I-TEQ Nm⁻³) PCDD/Fs at low temperature (160 °C). Adding AC into the catalyst obviously increases removal efficiency (RE) and destruction efficiency (DE). However, M-2 presents higher RE value and lower DE value compared with M-1 at the same conditions as the stronger adsorption capacity of AC based on coconut shell. For the M-2 mixture, RE values are decreasing while DE values show an opposite trend with the ratios of catalyst to AC increasing. Oxygen plays a positive role on the destruction of PCDD/Fs by accelerating the conversion of V⁴⁺Oₓ and V⁵⁺Oₓ. Adjusting oxygen content from 0 to 20 % could increase the DE value from 27.4 to 82.2 % for the M-1 and from 15.8 to 68.9 % for the M-2. In the presence of ozone, a dark brown flock will be generated when the ratio of AC and catalyst is 4:1 due to the reaction between AC and ozone, which results in the lower RE and DE values. The RE and DE values reach the maximum of 96.3 %, 90.6 % in this paper, respectively, when the ratio of AC and catalyst is 1:1 with ozone. Finally, the regenerating of mixture is investigated. Most of dioxin residues in the mixture are desorbed and oxidized by catalysis at 200 °C in the presence of oxygen.

The Artificial Neural Networks by Multi-objective Genetic Algorithms (ANN-MOGA) model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular Reactor (SBBGR) with the aim of providing an effective tool for predicting the fluctuations coming from touristic pressure. Six independent multivariate models, which were able to predict the dynamics of raw chemical oxygen demand (COD), soluble chemical oxygen demand (CODₛₒₗ), total suspended solid (TSS), total nitrogen (TN), ammoniacal nitrogen (N–NH₄⁺) and total phosphorus (Pₜₒₜ), were developed. The ANN-MOGA software application has shown to be suitable for addressing the SBBGR reactor modelling. The R ² found are very good, with values equal to 0.94, 0.92, 0.88, 0.88, 0.98 and 0.91 for COD, CODₛₒₗ, N–NH₄⁺, TN, Pₜₒₜ and TSS, respectively. A comparison was made between SBBGR and traditional activated sludge treatment plant modelling. The results showed the better performance of the ANN-MOGA application with respect to a wide selection of scientific literature cases.

Selenium (Se) has long been known as an effective antagonist for counteracting mercury (Hg) and arsenic (As) toxicity in many animal and plant species. This study is the first to assess a low-dose Se additive as an in situ remediation tool for As- and Hg-contaminated gold mine tailing material. Mine tailing material from an 1860s gold mine stamp mill site was treated with different concentrations of sodium selenite (0, 0.5, 1, 3, 8, and 15 mg Se/kg). Reclamation grass seeds planted in each treatment showed significantly decreased plant toxicity with increasing [Se], as measured by increases in biomass, % emergence, and root lengths. Leachate was collected from each pot after the grass was harvested. The lowest Hg and As concentrations measured in the leachate were associated with the 1 mg Se/kg treatment (94 and 71 % lower than concentrations in leachate from untreated tailing material) and increased with lower and higher Se treatments. Finally, earthworms (Eisenia andrei) were introduced to the experimental treatments. Earthworm [Hg] decreased with increasing [Se], but this effect was confounded by differing [Hg] in the tailing material. Earthworm [As] decreased with [Se] up to 3 mg Se/kg, then earthworm [As] increased with tailing [Se]. This experiment confirms that low-dose selenium additions (up to 3 mg Se/kg tailing material) can have beneficial effects by limiting toxicity and mobility of As and Hg from the tailing material for both grass and earthworms.

Contamination due to improper disposal of oilfield drilling waste is a serious environmental problem all over the world. This study used bench-scale experimental columns to investigate the effectiveness of combining soil vapor extraction (SVE) with bioremediation (bioaugmentation plus biostimulation) in treating drilling waste from onshore oil wells. The drilling waste used in this study was heavily contaminated with a total petroleum hydrocarbon (TPH) concentration of 2.5 × 10⁴ mg/kg. After 154 h of SVE operation, the TPH concentrations decreased by 4.7–23.6 %, and continuous SVE operation did not significantly reduce the concentration of residual contaminants. Then, microbial consortium and inorganic nutrients (urea and K₂HPO₄) were employed further to enhance bioremediation, and after 216 h of bioremediation and SVE, 70 % of the residual TPH was removed. Bioremediation enhanced the overall pollutant removal efficiency by fully degrading low volatile compounds and transforming them into more volatile compounds which were extracted by SVE. Results from GC-MS analysis corroborated TPH concentration data showing the occurrence of biotransformation during SVE and bioremediation treatment. Overall, this study demonstrates that SVE combined with bioremediation is an effective technique for handling petroleum drilling waste.

More attention has been paid to the deterioration of water bodies polluted by drinking water treatment sludge (DWTS) in recent years. It is important to develop methods to effectively treat DWTS by avoiding secondary pollution. We report herein a novel investigation for recovery of Si and Fe from DWTS, which are used for the synthesis of two iron oxide@SiO₂ composites for adsorption of reactive red X-3B (RRX-3B) and NaNO₂. The results show that Fe³⁺ (acid-leaching) and Si⁴⁺ (basic-leaching) can be successfully recovered from roasted DWTS. Whether to dissolve Fe(OH)₃ precipitation is the key point for obtaining Fe₃O₄ or γ-Fe₂O₃ particles using the solvothermal method. The magnetic characteristics of Fe₃O₄@SiO₂ (390.0 m² g⁻¹) or Fe₂O₃@SiO₂ (220.9 m² g⁻¹) are slightly influenced by the coated porous SiO₂ layer. Peaks of Fe–O stretching vibration (580 cm⁻¹) and asymmetric Si–O–Si stretching vibrations (1080 cm⁻¹) of Fe₃O₄@SiO₂ indicate the successful coating of a thin silica layer (20–150 nm). The adsorption capacity of RRX-3B and NaNO₂ by Fe₃O₄@SiO₂ is better than that of Fe₂O₃@SiO₂, and both composites can be recycled through an external magnetic field. This method is an efficient and environmentally friendly method for recycling DWTS.

Since it was commercially introduced in 1974, glyphosate has been one of the most commonly used herbicides in agriculture worldwide, and there is growing concern about its adverse effects on the environment. Assuming that glyphosate may increase the organic turbidity of water bodies, we evaluated the effect of a single application of 2.4 ± 0.1 mg l⁻¹ of glyphosate (technical grade) on freshwater bacterioplankton and phytoplankton (pico, micro, and nanophytoplankton) and on the physical and chemical properties of the water. We used outdoor experimental mesocosms under clear and oligotrophic (phytoplanktonic chlorophyll a = 2.04 μg l⁻¹; turbidity = 2.0 NTU) and organic turbid and eutrophic (phytoplanktonic chlorophyll a = 50.3 μg l⁻¹; turbidity = 16.0 NTU) scenarios. Samplings were conducted at the beginning of the experiment and at 1, 8, 19, and 33 days after glyphosate addition. For both typologies, the herbicide affected the abiotic water properties (with a marked increase in total phosphorus), but it did not affect the structure of micro and nanophytoplankton. In clear waters, glyphosate treatment induced a trend toward higher bacteria and picoeukaryotes abundances, while there was a 2 to 2.5-fold increase in picocyanobacteria number. In turbid waters, without picoeukaryotes at the beginning of the experiment, glyphosate decreased bacteria abundance but increased the number of picocyanobacteria, suggesting a direct favorable effect. Moreover, our results show that the impact of the herbicide was observed in microorganisms from both oligo and eutrophic conditions, indicating that the impact would be independent of the trophic status of the water body.