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There is an increasing recognition that microplastics contamination in soils has become an important threat for terrestrial ecosystems, and can interact with drought. In addition, due to the increasingly serious environmental pollution and the destruction of the ozone layer, the UV-B radiation to the earth's surface has gradually increased. However, we currently have no information about potential effects of microplastics, UV-B, and drought on plant communities. In order to make up for the vacancy, we conducted an experiment with grassland plant communities. Polyester fiber microplastics (absent, present), UV-B (fully transparent polythene film, attenuating UV-B radiation), and soil water conditions (well-watered, drought) were applied in a fully factorial design. A plant community consisting of four indigenous species and one invasive species, co-occurring in the terrestrial ecosystem of the northern temperate zone was established, and we investigated the effects of microplastics, UV-B, drought and their interactions on plant functional traits and plant community structure. We found that shoot and root biomass decreased with drought but increased with microfibers, and drought significantly decreased specific leaf area at the community level. Physiological and biochemical indexes of individual species and plant community were affected by microfibers, UV-B, drought and their interaction to a varying degree. More importantly, five species were divided into three clusters along PC1 corresponding to individuals from G. longituba and P. depressa, B. bipinnata and M. sativa, plus G. parviflora, which indicated that at the same conditions, G. parviflora would occupy unique ecological niches that affect the growth of native species. Our research offers insights into the mechanisms of the coexistence of native and invasive plants, as well as the ecological consequences of microplastics and other environment factors on plant communities.

Adsorption is a simple and efficient way for arsenic contamination purification in water, with a pressing challenge to find a cheap and efficient adsorbent. As a poorly crystalline Fe(III)-oxyhydroxy sulfate mineral, schwertmannite can be As(V) adsorbent because of its tunnel structure and low cost. However, the schwertmannite synthesized commonly by H

Tooeleite (Fe6(AsO3)4(SO4)(OH)4·4H2O), the only known ferric arsenite sulfate bearing mineral, has great potential for arsenic remediation due to its structure favoring incorporation of As(III). Based on the natural attenuation of removing As(III) directly by the formation of tooeleite via microorganisms, an iron-oxidizing bacterial strain Acidithiobacillus ferrooxidans ATCC 23270 (At.ferrooxidans) was selected to facilitate the formation of tooeleite. The optimized condition for the biogenic tooeleite was obtained at pH of 2.0, 30 °C and an initial arsenic of 500 mg/L. The process of biological mineralization is accompanied by the removal of 95.4% arsenic. What’s more, biosynthetic tooeleite crystallization via a three-stage process was revealed using a combination of liquid and solid analyses (ICP-OES, XRD, XPS, FT-IR, SEM, STEM, particle distribution). The three stages included Fe2+ oxidation by At.ferrooxidans, Fe3+ hydrolysis and an initial Fe–As amorphous precursors formation, and finally transforming to tooeleite crystal. Moreover, RT-qPCR was used to reveal the relationship between functional gene expression of At.ferrooxidans and the mineral formation. The results showed the biogenic tooeleite exerts significant control on the geochemistry of arsenic contaminated systems.

Pharmaceuticals have been widely detected in the aquatic environment and demonstrated to be potential risks to humans and the environment. Understanding emission pathways of pharmaceuticals is essential to the control of pharmaceutical contamination for environmental management. The present study is aimed at testing the hypothesis that non-wastewater pathway is also significant to the emission of pharmaceuticals into the environment. To this end, we compared the actual production with the amount of 12 antibiotics obtained by back calculation from sewage concentrations in Beijing, Guangzhou and Chongqing. The results showed that for over a half of investigated antibiotics, the emission through non-wastewater pathways accounted for approximately 30–80% of the total emission, varying with individual antibiotics. It was revealed that non-wastewater emission pathways could be of significance for pharmaceuticals emitted into the environment, of which disposed by household waste could be among the most important non-wastewater pathways.

Archaea play an important role in the biogeochemical cycling of elements in the environment. Heavy metals are ubiquitous pollutants in the environment. Previous studies have revealed a considerable influence of metal pollution on the archaeal community, but the short-term response of the archaeal community to metal pollution remains unclear. Hence, the present study investigated the short versus long-term responses of overall archaeal communities in freshwater sediments after exposure to accidental metal pollution caused by the discharge of heavy metal-containing wastewater from an indium-producing factory. Quantitative PCR was used to determine the archaeal abundance, while Illumina MiSeq sequencing was applied to characterize the diversity and structure of the archaeal community. The abundance (2.47 × 105–1.55 × 108 archaeal 16S rRNA gene copies per gram dry sediment), diversity (Shannon diversity index = 2.49–4.45) and structure of overall archaeal community illustrated a drastic temporal change. The archaeal communities mainly comprised the phyla Euryarchaeota, Thaumarchaeota and Bathyarchaeota. The exposure to metal pollution induced an increase in the proportion of Euryarchaeota but lowered the proportion of Thaumarchaeota. The accidental metal pollution exerted a profound impact on the archaeal community in freshwater sediment. This study could contribute our understanding of the short versus long-term response of archaeal communities to metal pollution.

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For pharmaceuticals, the ecological risk assessment based on traditional endpoints of toxicity could not be properly protective in the long run since the mode of action could vary because they are intended for different therapeutic uses. In this study, the predicted no-effect concentrations (PNECs) of two selected pharmaceuticals, ibuprofen (IBU) and sulfamethoxazole (SMX), were derived based on either traditional endpoints of survival and growth data or some nonlethal endpoints such as reproduction, biochemical and molecular data. The PNECs of IBU based on biochemical-cellular and reproduction data were 0.018 and 0.026 μg L−1 that were significantly lower than those derived from other endpoints, while the lowest PNEC for SMX derived from growth data with the concentration of 0.89 μg L−1. Ecological risk assessment was performed for IBU and SMX to the aquatic environment by applying hazard quotient and probabilistic distribution based quotient (DBQs) methods. The results showed that the probability of DBQs of IBU exceeding 0.1 was 11.2%, while for SMX the probability was 0.9% that could be neglected.

The delivery of nano-zerovalent iron (nZVI) as a remediation agent to targeted areas in soil was studied using different carriers. Among water, surfactant solution, and surfactant foam, the nZVI transport and carrying abilities followed the order of surfactant foam > surfactant solution > water. The nZVI migration was also facilitated by increased soil particle size and high surfactant concentration. Batch experiments probed the remediation of dichlorodiphenyltrichloroethane (DDT)-contaminated sand under different conditions. Compared to surfactant solution, the use of foam as a carrier achieved much higher DDT removal efficiencies for both coarse (foam/solution: 99/69%) and fine (foam/solution: 60/26%) sands. Additionally, the DDT removal efficiency was strongly influenced by surfactant concentration: foams generated using 1 and 5 g L−1 sodium lauryl ether sulfate (SLES) solutions reached the respective efficiencies of 44% and 75% under identical experimental conditions. However, the nature of the surfactant did not significantly affect the total removal efficiency of DDT. Solubilization, increased sweep efficiency, and reduction by nZVI were identified as factors affecting the DDT removal efficiency, and all three of them were involved when foam-nZVI was used as the flushing fluid.

Brominated flame retardants (BFRs) which were detected extensively in environmental and biota samples worldwide, have raised significant concerns during past decades for their persistence, bioaccumulation and potential toxicity to ecological environment and human health. In this paper, we have compiled and reviewed existing literature on the contamination status of BFRs in abiotic and biotic environments in China, including polybrominated diphenyl ethers (PBDEs), hexabromocyclododecane, tetrabromobisphenol A and new BFRs. Temporal trends were also summarized and evaluated. Based on this review, it has been concluded that (1) high concentrations of PBDEs were generally related to the e-waste disposal processing, while the spatial distribution pattern of other BFRs was not necessarily in accordance with this; (2) extremely high concentrations of BFRs in indoor dust emphasized the importance of indoor contamination to human body burdens, while more work need to be done to confirm its contribution; (3) PBDEs in electronics dismantling workers were higher compared to the general population, indicating the occupational exposure should be of particular concern; (4) more data are now becoming available for BFRs in aquatic and terrestrial organisms not previously studied, while studies that consider the occurrence of BFRs in organisms of different trophic levels are still of urgent need for evaluating the fate of BFRs in the food web; and (5) limited data showed a decreasing trend for PBDEs, while more data on time trends of BFR contamination in various matrices and locations are still needed before the impact of regulation of BFRs can be assessed.

The present study aimed to propose a method to estimate the spatially resolved dataset for human-use antibiotics, which are highly needed in exposure models dealing with regions of various environmental characteristics. In this study, a regression model describing the relationship between the use of antibiotics and a set of socio-economic determinants was developed. It has been demonstrated that economic status (expressed using per capita gross domestic production) dominates the antibiotic use at least in China. Linear regression analysis was used to build the model, resulting in high goodness-of-fit, R(2) (>0.75). Internal and external validations along with residue plot indicated that the model was robust and predictive. The model was successfully applied to allocate the use of antibiotics in China in 2011 at national-, provincial-, prefectural-, and county-level, which are comparable to that back-calculated from the available data of wastewater analysis in some cities. Antibiotic uses were higher in East China than other regions and it was found that uses of total antibiotics vary among Chinese counties on four orders of magnitude (0.186-1645 t antibiotics per year per county). Also management practice could be worked out according to our exploration of the impact transition of social-economic factors on antibiotic uses. To our knowledge, this is the first endeavor to explore this economic dominated relationship for estimating spatially resolved use map of antibiotics in China.

High throughout screening method has gained attractive prospects because it offers a fast and effective approach to obtain a holistic picture of organic micropollutant (OM) pollution in a site specific environment. However, reliability and usefulness of the generated data sets for OM pollution profiles and occurrence levels have not been fully evaluated. In this paper, we screened 1030 OMs in surface water and sediments from the selected rivers of the Liaohe River watershed to (1) examine the usefulness of using qualitative data to gain insights into source identification and (2) further evaluate the reliability of the semi-quantification results in a filed study. The results showed that 81 and 89 OMs at concentrations up to 5670 ng/L and 6714 ng/g were identified in surface water and sediments, respectively. Qualitative data could be used to identify the similarity (or dissimilarity) of pollution sources at different locations for surface water, which could provide insights for source back tracking of water contamination. Accuracy tests showed that our semi-quantification results agree well with those from previously reported values and our target analysis. Though our results for the majority of newly quantified OMs need to be further confirmed, we have demonstrated that this method is suitable for understanding the pollution characteristics and occurrence levels of OMs in the environment for environmental scientists and managers.

Heavy metal contamination in wastewater poses a severe threat to the environment and public health. Chemical precipitation is the most conventional process for heavy metal wastewater treatment. However, the flocculent structure of chemical precipitation sludge raises the problem of poor sludge settling performance that is difficult to overcome. Inspired by the biological granular sludge (BGS) formation process, we report here a facile and effective strategy to produce abiological granular sludge (ABGS) to solve this problem. In this procedure, controlled double-jet precipitation was performed to simulate the cell multiplication process in BGS formation by controlling the solution supersaturation. Meanwhile, ZnO seeds and flocculant polyacrylamide were added to simulate the role of nuclei growth and extracellular polymeric substances in BGS formation process, respectively. This procedure generates ABGS with a dense structure, large size and regular spherical morphology. The settling velocity of ABGS can reach up to 3.0 cm s −1 , significantly higher than that of flocculent sludge ( −1 ).