A novel sorbent, chitosan-immobilized pumice, has been prepared for the sorption of As(V) from waters prior to its determination by hydride generation atomic absorption spectrometry. The success of the immobilization has been checked with such characterization techniques as scanning electron microscopy, thermal gravimetric analysis, and elemental analysis. Points of zero charge of the sorbents were determined with potentiometric mass titration. Batch-type equilibration studies have shown that the novel sorbent can be employed at a wide pH range resulting in quantitative sorption (>90 %) at pH 3.0–7.0 and greater than 70 % sorption at pH >8.0. These results demonstrate the advantage of immobilizing chitosan onto pumice, because, under the same conditions, pumice displays <20 % sorption toward As(V), whereas chitosan gives approximately 90 % sorption only at pH 3.0. The validity of the method was verified through the analysis of ultrapure, bottled drinking, and tap water samples spiked with arsenate; the respective sorption percentages of 93.2 (±0.7), 89.0 (±1.0), and 80.9 (±1.3) were obtained by batch-type equilibration. Arsenic sorption was also examined in the presence of common interfering ions resulting in competing effects of PO₄ ³⁻ and NO₃ ⁻ on As(V) adsorption.

An understanding of the effects of land-use activities on atmospherically derived pollutant loadings in stormwater is helpful for determining appropriate treatment strategies for different catchments. Impervious concrete boards (≈1 m²) were deployed for 11 months in different land-use areas (industrial, residential and airside of an airport’s runway) throughout Christchurch, New Zealand, to determine the spatial variability of atmospherically derived pollutants in stormwater runoff. Runoff was analysed for metals (principally Cu, Zn and Pb) and total suspended solids (TSS). All three land-use areas exhibited similar temporal patterns of varying metal and TSS loads, indicating that atmospherically deposited metals and TSS had a homogenous distribution within the Christchurch airshed. However, mean pollutant loadings for all total metals and TSS were significantly higher in the industrial area compared to the residential and airside areas, which had statistically similar mean metal loadings. The signature ratios of specific heavy metals (As, Cr, Mn, Ni, Pb, Sr and Zn) to Cu were relatively homogeneous between the three land-use areas, indicating that the pollutants originate from a similar source and that surrounding land-use was not as an important factor in determining atmospheric pollutant loadings to stormwater runoff as previously thought.

The water retention time (sometimes called residence time) in coastal areas is an indicator of coastal hydrodynamics which can be used to quantify the local transportation of dissolved and suspended pollutants. This study has used dynamic and statistical models to explore what governs the water retention time in non-tidal coastal waters of the Baltic Sea. If freshwater input divided by the cross-section area between the coastal water and the sea was below a certain threshold, freshwater had no notable impact on the retention time. Moreover, statistical models were developed for predicting surface water retention time and total water retention time from coastal water volume, cross-section area and freshwater discharge. This study can be useful for managers who need to determine where abatement measures should be focused in order to be as effective as possibly against coastal water pollution.

In this study, an artificial neural networks (ANN) model was developed to predict the removal of a polycyclic aromatic hydrocarbon (PAH), namely, naphthalene from marine oily wastewater by using UV irradiation. The removal rate was used as model output and simulated as a function of five independent input variables, including fluence rate, salinity, temperature, initial concentration and reaction time. The configuration of the ANN model was optimized as a three-layer feed-forward Levenberg–Marquardt backpropagation network with log-sigmoid and linear transfer functions at the hidden (12 hidden neurons) and output layers, respectively. By considering goodness-of-fit and cross validated predictability, the ANN model was trained to provide good overall agreement with experimental results with a slope of 0.97 and a correlation of determination (R ²) of 0.943. Sensitivity analysis revealed that fluence rate and temperature were the most influential variables, followed by reaction time, salinity and initial concentration. The findings of this study showed that neural network modeling could effectively predict the behavior of the photo-induced PAH degradation process.

The widespread use of alkylphenols in European industry has led to their presence in the environment and the living organisms of the Baltic Sea. The present study (2011–2012) was designed to determine the concentrations of alkylphenols, 4-nonylphenol (NP) and 4-tert-octylphenol (OP), in surface sediments of the Gulf of Gdansk, a section of the Baltic that lies in close proximity to industrial and agricultural areas and borders with an agglomeration of nearly one million inhabitants. It is also where the Vistula, the largest Polish river, ends its course. In spring, large concentrations of 4-nonylphenol and 4-tert-octylphenol were washed off into the coastal zone with meltwater. In summertime, sediments near the beach had the highest alkylphenol concentrations (NP—2.31 ng g⁻¹dw, OP—13.09 ng g⁻¹dw), which was related to tourism and recreational activity. In silt sediments located off the coast, the highest NP (1.46 ng g⁻¹dw) and OP (6.56 ng g⁻¹dw) amounts were observed in autumn. The origin of OP and NP at those test stations was linked to atmospheric transport of black carbon along with adsorbed alkylphenols.

This study evaluated the effect of the soil solution ionic strength (IS) on the adsorption of Zn, Cu, Cd, Pb, As, and P on aluminum mining by-product (AMB), as well as performed the toxicity characteristic leaching procedure test (TCLP) followed by semi-total digestion in order to evaluate whether the adsorbed elements can cause environmental health risks. We measured adsorption by reacting the adsorbent with Zn, Cu, Cd, Pb, As, and P solutions in low IS (47 mmol L⁻¹) and high IS (470 mmol L⁻¹). Subsequent cation and anion desorption was evaluated by adding electrolyte solutions to the remaining adsorption residue. After the desorption experiment, we performed the TCLP test followed by semi-total digestion. Changing the IS interfered on Zn, Cd, Cu, and As adsorption, while no effect was observed for Pb and P. Increasing IS decreased the desorbed amounts of Cd, Zn, Cu, and As. Among the studied elements, Cd and Zn were noteworthy for having adsorbed the least and desorbed the most. Disposal of the AMB after being used as adsorbent of Cd, Pb, and As has to be carefully made as it may present their contents above the concentration causing toxicity.

A pot experiment was conducted to investigate the effect of nitrogen fertilizer on CH₄ emission from a paddy soil under greenhouse conditions. The experiment was designed with two fertilizer types, i.e., controlled-release nitrogen fertilizer (CRNF) and urea (U), and two rice cultivars, i.e., herbicide-resistant transgenic rice (japonica line B2) and its parent conventional rice (japonica cv Xiushui 63). Compared with control (urea), one-time basal application of CRNF increased tiller number, plant height, biomass, and yield in rice and significantly decreased total CH₄ emission from the paddy soil. The total CH₄ emission was significantly lower from the transgenic cultivar than that from the conventional cultivar. It is suggested that CRNF and herbicide-resistant transgenic rice are helpful in mitigating CH₄ emission from the paddy soil.

Citrus peels were utilized for dynamic biosorption of Pb, Cd, and Zn from mono- and bi-component solutions in fixed-bed columns at feed concentrations of 0.1 meq/L. Uptake at breakthrough and saturation followed the order Zn < Cd < Pb in single-metal biosorption. An overshoot of the Zn or Cd effluent concentration was observed in Pb-Zn and Pb-Cd bimetal systems, where Pb displaced initially bound Zn and Cd. The desorption efficiency of the saturated column using 0.1 N nitric acid was 74 to 100 %, achieving a concentration factor (CF) of 34 to 129, based on the average desorbed metal concentration. The common practice of defining the concentration factor based on the peak concentration overestimates the CF value. Increasing Ca concentrations in Pb-Ca and Cd-Ca systems reduced target metal uptake, especially for Cd which had a lower affinity than Pb. Actual mining effluent was treated successfully. A sigmoid function was applied to describe experimental breakthrough data. A novel simple two-parameter model was introduced to simulate overshoot and desorption curves.

Evaluation of a field scale agricultural nonpoint source simulation model against field experiment data is an important step that must be considered before a model can be used as a management tool. Field soil water content and metribuzin residue adsorbed in soil profile were intensively monitored and measured by the gravimetric method and the LC-MS/MS method, respectively, for a soybean field plot located at the Asian Institute of Technology, Thailand. The Root Zone Water Quality Model (RZWQM) was evaluated based on laboratory-measured soil hydraulic properties and pesticide residue in Bangkok clay soil. Reasonable agreement exists between the soil water content measured and predicted by RZWQM for 10–20 and 30–40 cm soil depths. The model slightly overestimated the pesticide residue at 0–10 cm soil depth 1 day after application at surface, whereas pesticide residue at 10–20 and 30–40 cm soil depths was in agreement with model acceptance. These results indicate that RZWQM can be used when properly calibrated to predict the movement of water and metribuzin through the soil profile in the tropical zone.

Passive air samplers were deployed at six locations across the province of Manitoba, Canada, to represent areas with, or at various distances from, agricultural herbicide applications. During the growing seasons in 2008 and 2009, the four southern sites always demonstrated mixtures of current-use herbicides (CUHs) in air, but CUHs were not detected at the two northern sites that were 400 and 800 km away from Manitoba’s most northern boundary of agricultural herbicide applications. The masses of the CUHs detected in the air were most strongly positively associated with their estimated masses typically applied in a ~100-km²township area surrounding the sampling sites (r = 0.70 to 0.74) and to a lesser extent with their estimated mass applied in incrementally larger areas (r = 0.53 to 0.59). The masses of CUHs detected in air were also significantly positively associated with their estimated masses applied at a provincial level (r = 0.45 to 0.52) but not with their reported half-lives in air, suggesting that a system of maintaining records of herbicide use data, even at a coarse scale, can strongly improve agri-environmental risk assessments. Of the nine CUHs detected, MCPA [(4-chloro-2-methylphenoxy)acetic acid] and bromoxynil, which are widely applied in Manitoba agriculture, were the only herbicides detected at all four southern sites. Triallate and metolachlor which have low use in Manitoba were the only CUHs detected in the winter months, confirming that these herbicides are relatively persistent in the air and may undergo long-range transport. Four passive air samplers, each installed 0.5 to 1.5 km apart at the same location, showed variations in the herbicide masses detected with the coefficient of variation ranging from 10 % for bromoxynil in 2008 to 137 % for MCPA in 2009. These variations were particularly observed not only for the two herbicides applied on-site (MCPA and clopyralid) but also for four herbicides transported into the area from longer distances (2,4-D (2,4-dichlorophenoxyacetic acid), bromoxynil, ethalfluralin, and triallate). Future regional-scale research should therefore consider deploying multiple sets of passive air samplers at a site to obtain a more representative measure of herbicide air concentrations.