Cyanobacterial blooms caused by Microcystis have become a menace to public health and water quality in the global freshwater ecosystem. Alkaline phosphatases (APases) produced by microorganisms play an important role in the mineralization of dissolved organic phosphorus (DOP) into orthophosphate (Pi) to promote cyanobacterial blooms. However, the response of extracellular and intracellular alkaline phosphatase activity (APA) of Microcystis to different DOP sources is poorly understood. In this study, we compared the growth of M. aeruginosa on two DOP substrates (β-glycerol-phosphate (β-GP) and lecithin (LEC)) and monitored the changes of P fractions and the extra- and intracellular APA under different P sources and concentrations. M. aeruginosa can utilize both β-GP and LEC to sustain its growth, and the bioavailability of LEC was greater than β-GP. For the β-GP treatment, there was no significant difference in the algal growth at different concentrations (P > 0.05), while the algal growth in the LEC treatment groups was significantly affected by concentrations (P < 0.05). The results showed that intracellular APA of M. aeruginosa could be detected in all DOP treatment groups and generally higher than extracellular APA. In addition, the intracellular APA per cell increased first and then decreased in all DOP treatment groups. Compared with the β-GP treatment, M. aeruginosa in the LEC groups could secret more extracellular APA.

This work was dedicated to the elaboration of new composite materials based on activated carbon and titanium oxide as an ecological solution for the cleaning of water contaminated with pharmaceutical pollutants. Such new composite materials allowed the combining of adsorption and photocatalytic process, which allows a cleaning process that is low cost making them promising materials. The functionalization of the surface of activated carbon (AC) by TiO₂ nanoparticles forms the core of the nanocomposite material. This was accomplished using sol-gel process with molar ratios Rₙ (nTᵢ/nAC) in the range of 1/10 to 7/10 followed by a calcination step (400 °C, N₂, 2 h). Using various characterization techniques, AC surface functionalization was confirmed and the formation of a TiO₂ coating on the AC was noticed with TiO₂ under its unique anatase crystallographic form. The study of adsorption and photocatalytic degradation of the sulfamethazine antibiotic demonstrated that the most photoactive nanocomposite corresponds to the one with Rₙ = 0.5. Freundlich model was proved to be a perfect fit with the experimental results stating that the adsorption is of multilayer nature on the surface of the adsorbent and with interactions between the pollutants adsorbed on its surface. The photocatalytic degradation of the remaining pharmaceutical pollutant in the solution was evidenced and essentially occurred through the involvement of hydroxyl radicals formed by the excitation of the photocatalyst. The formation of the photoproducts analyzed by the LC/MS technique implies the splitting of the sulfonamide bridge, and by the hydroxylation of the aromatic ring and the pyrimidine group.

This paper probes the impact and working mechanism of e-commerce development on prevention and control of SO₂ air pollution in cities in China. The research reveals that, first, e-commerce development can significantly reduce the SO₂ air pollution degree in cities in China, which helps improve air quality, and compared with e-commerce services, an e-commerce application is more effective at reducing SO₂ air pollution degree and improving air quality. Second, e-commerce development can significantly reduce SO₂ emissions in cities in China, decreasing SO₂ emissions per unit of gross domestic product (GDP) of cities. Compared with e-commerce services, an e-commerce application has a greater effect on reducing SO₂ emissions in urban unit GDP. Finally, by reducing SO₂ emissions in cities in China, e-commerce can reduce SO₂ emissions in unit GDP, reducing SO₂ air pollution degree and improving air quality, and in comparison with e-commerce services, an e-commerce application can reduce SO₂ emissions in city unit GDP more significantly, thus significantly reducing SO₂ air pollution degree and improving air quality in cities in China.

Tremendous energy consumption appears as rapid economic development, leading to large amount of CO₂ emissions. Although plentiful studies have been made into the driving factors of CO₂ emissions, the existing literatures that take the spatial differences and temporal changes into consideration are few. Therefore, this study first analyzes the variations of total CO₂ emissions’ spatial distribution from 2008 to 2017 and present the changes of driving factors, finding significant spatial autocorrelation in CO₂ emissions at the province level, and that urbanization rate, per capita GDP and per capita CO₂ emissions increased significantly, but energy consumption structure and trade openness decreased. We then compared the effects of different factors affecting CO₂ emissions, using classic linear regression model, panel data model, and the geographically weighted regression (GWR) model, and the three models roughly agree on the effects of factors. The GWR model considering spatial heterogeneity provides more detailed results. Population, urbanization rate, per capita carbon emissions, energy consumption structure, and trade openness all have positive effects, while per capita GDP has a two-way impact on CO₂ emissions. The influence of urbanization rate and energy consumption structure in the central and western regions increased even faster than in eastern regions, and the impacts of trade openness in lower and higher opening areas are more significant. The population and per capita CO₂ emission have declining influences, among which the influence of population in coastal areas declined more slowly, while the rate of decline of per capita CO₂ emission was positively correlated with the local total CO₂ emissions. The Lorenz curve and the Gini coefficient reveal the inequality distribution of CO₂ emissions in various regions, with the highest CO₂ emissions growth in the medium-economic-level areas, where the key area of carbon mitigation is. Finally, per capita GDP reveals that China as a whole has the trend of inverted N-shape Kuznets curve, and the underdeveloped regions are in the rising stage between the two inflection points, while developed regions are at the end of the rising stage and about to reach the second inflection point.

The giant freshwater prawn, Macrobrachium rosenbergii, is an important species for Bangladesh’s national economy, aquatic biodiversity, and employment opportunities; furthermore, human health risk associated to consumption of this species has become a crucial issue. Eight trace metals (Pb, Cr, Ni, Cd, Fe, Cu, Zn, and Mn) in different body parts of M. rosenbergii (U/10 as large and U/12 and U/15 as medium size), and water collected from farm and wild sources along with the human health risks were assessed in this study. Except Cd, all trace metals exceeded the maximum permissible limits proposed by different authorities. Elevated levels of Pb, Cr, Fe, Cu, Zn, and Mn were found in the wild-caught prawn, whereas Ni and Cd were higher in farmed prawn. A higher trace metal contamination was recorded from the cephalothorax part than the abdomen of both sized prawns. However, trace metal concentrations between two sizes of prawns were not statistically significant (p > 0.05). The estimated daily intakes (EDI) values were higher than the recommended and/or tolerable daily intake for Pb and Cr. Moreover, the target hazard quotient (THQ) values were > 1 for Pb, Cd, Cu, and Zn, elucidating non-carcinogenic risks to the consumers. In addition, the target cancer risk (TR) values of Pb and Ni were high and exceeded the acceptable guideline of 10⁻⁶, explicating the possibility of carcinogenic risks. Therefore, the study concludes that the consumption of the studied prawn species contaminated with elevated levels of toxic metals is associated with higher degree of potential health risks.

Shewanella oneidensis MR-1 (MR-1)-impregnated alginate capsules with 3D porous structure were prepared through cation crossing-linking and was used for the Cr(VI) reduction and removal. After being encapsulated by alginate, the endurance of the MR-1 was largely enhanced under conditions of high Cr(VI) concentrations (up to 4 mM) and low pH (pH 5). The Cr(VI) reduction over the MR-1-impregnated alginate capsules could be fitted by pseudo first-order kinetic model. With the Cr(VI) initial concentration increasing from 1 to 4 mM, the first-order rate constant for the encapsulated MR-1 (kcₐₚₛᵤₗₑₛ) and free cells (kcₑₗₗₛ) fell by 26.3% and 82.4%, respectively. At pH 5, the kcₐₚₛᵤₗₑₛ value was 0.19 h⁻ ¹, which was about 3.7 times higher than kcₑₗₗₛ. Moreover, the encapsulated MR-1 held 90.5% of the Cr(VI) reduction ability after 15 days of resting time, while the free MR-1 held 19.7%. After bioreduction, 73.6% of total chromium was adsorbed on the MR-1 impregnated Ca-alginate capsules. XPS results showed 85% of the adsorbed chromium was Cr(III). The mechanism for chromium removal over the MR-1-impregnated Ca-alginate capsules was proposed with the following steps: (1) Cr(VI) was bioreduced via the encapsulated MR-1; (2) the reduced soluble Cr(III) was adsorbed by alginate selectively. In the study, the Ca-alginate shell of the cabbage-like MR-1 impregnated capsules could be a shelter for encapsulated MR-1 to endure unfavorable conditions (e.g., low pH and high concentration of Cr(VI)) and immobilize the soluble chromium. Considering the obtained capsules derived from biomolecules were environment-friendly, the MR-1-impregnated Ca-alginate capsules were potential for the application in the remediation of environmental pollution. Graphical abstract

Long-term underground exploitation of Zn-Pb ores has led to drainage of the area and formation of a huge dumping ground in the form of a pile. In its vicinity, processes of acid drainage have developed as a result of contamination of soils and groundwater. Geochemical transformations of mineral contents of waste can significantly affect physical and chemical properties of the soils and the bedrock. At the prospect of termination of the mining activity in the near future, determining the routes of the pollution migration, ability to monitor acid drainage processes and assessment of the risk of heavy metal pollution are really crucial. The paper presents a proposal for solving this problem by means of geophysical methods: Electrical Resistivity Tomography (ERT), Time Domain-Induced Polarisation (TDIP), Frequency Domain Electromagnetics (FDEM) and shallow-depth magnetometric surveys combined with geochemical investigations. The obtained results of geophysical surveys have been confirmed by geochemical investigations. The applied ERT and TDIP methods make it possible to identify the spread of the zones of pollution around the tailing pile, but their effectiveness depends on humidity of the ground. Soil magnetometry and shallow-depth induction profiling are a good tool to identify the medium contaminated with minerals redeposited by aeolian processes and allow to determine the range of the dust spread from the pile. It has been shown that the range of impact of the geochemical changes around the tailing pile is high and depends not only on directions and dynamics of water flow from the pile but also on aeolian transport.

Because of the shallow relief in Belgium and northern France, the dredging of waterways generates significant quantities of sediments for which few valorization pathways are validated. Waterways operators and public authorities are still waiting for efficient valorization solutions. The VALSE project, funded by the Interreg V FWVl program, aims to validate valorization pathways through large-scale works that promote a good integration in territories and a sustainable use. In this context, landscaping could be an upgrading solution; hence, a mound made with unpolluted sediments is ecologically and ecotoxicologically monitored over time to assess if dredged materials are harmful for the environment. An embankment near the studied site was chosen as a reference. The monitoring consists of, on the one hand, in situ flora and substrate macro-invertebrates surveys. On the other hand, ecotoxicity tests are performed on sediments and soil respectively taken from the mound and the embankment: the activity of nitrifying bacteria in these substrates and the reproduction of an earthworm (Eisenia fetida) are studied. First, results show that the sediments do not seem to impact negatively plant colonization or the settlement of substrate macro-invertebrates. About laboratory testing, sediments do not seem to interfere with natural nitrification process and E. fetida reproduction seems equivalent in sediments and embankment soil. These results do not allow drawing any definite conclusion because they relate to a first year of experimentation only, but they tend towards a good integration of the mound in the surrounding environment for the monitored parameters.

As an important factor affecting the mangrove wetland ecosystem, water quality has become the focus of attention in recent years. Therefore, many studies have focused on the prediction of water quality to help establish a regulatory framework for the assessment and management of water pollution and ecosystem health. To make a more accurate and comprehensive forecast analysis of water quality, we propose a method for water quality prediction based on the multi-time scale bidirectional LSTM network. In the method, we improve data integrity and data volume through data preprocessing. And the network processes input data forward and backward and considers the dependencies at multiple time scales. Besides, we use the Box–Behnken experimental design method to adjust hyper-parameters in the process of modeling. In this study, we apply this method to the water quality prediction research of Beilun Estuary, and the performance of our proposed model is evaluated and compared with other models. The experiment results show that this model has better performance in water quality prediction than that of using LSTM or bidirectional LSTM alone. Graphical Abstract Schematic of research work

Magnetite nanoparticles (Fe₃O₄ NPs) were applied in an anaerobic semi-continuous tank reactor (ASTR) to investigate its effect on the anaerobic digestion (AD) of acetate synthetic wastewater. The Fe₃O₄ NPs corrosion could create a more favorable micro-environment to enhance the methanogens activity. The chemical oxygen demand (COD) removal efficiency and methane production in test (ASTRT) were 31.1% and 101.5% higher than those in control (ASTRC). With the addition of Fe₃O₄ NPs, the concentration of key coenzyme (F₄₂₀ and M) increased from averagely 0.523 and 5.352 μmol/g-VSS to 0.956 and 9.267 μmol/g-VSS, and the content of soluble microbial products (SMPs) significantly increased. Additionally, the high-throughput 16S rRNA gene sequencing further confirmed that the percentage of hydrogen-utilizing methanogens (Methanolinea) was up to 62.6% of total archaeal sequences. Fe₃O₄ NPs addition would accelerate electrons transfer from acids oxidizers to syntrophic methanogenesis, further stimulate acids oxidizers to decompose acetate to H₂/CO₂, and finally facilitate more methane production.