AbstractThe pace of water contamination is increasing daily due to expanding industrialisation. Finding a feasible solution for effectively remediating various organic and inorganic pollutants from large water bodies remains challenging. However, a nano-engineered advanced hybrid material could provide a practical solution for the efficient removal of such pollutants. This work has reported the development of a highly efficient and reusable absorbent comprising a porous polyurethane (PU) and reduced graphene oxide (rGO) nanosheets (rGOPU) for the removal of different organic oils (industrial oil, engine oil and mustard oil), dyes (MB, MO, RB, EY and MV) and heavy metals (Pb(II), Cr(VI), Cd(II), Co(II) and As(V)). The structure, morphology and properties of the rGOPU hybrid absorbents were analysed by using Raman spectroscopy, field emission scanning electron microscopy (FESEM), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), thermogravimetric analysis (TGA) and Brunner-Emitte-Teller (BET) analysis. The rGOPU possessed both superhydrophobicity and superoleophilicity with water and oil contact angles of about 164° and 0°, respectively. The prepared rGOPU has demonstrated an excellent oil-water separation ability (up to 99%), heavy metals removal efficiency (more than 75%), toxic dye adsorption (more than 55%), excellent recyclability (> 500 times for oils), extraordinary mechanical stability (90% compressible for > 1000 cycles) and high recoverability. This work presents the first demonstration of rGOPU’s multifunctional absorbent capacity in large-scale wastewater treatment for effectively removing a wide variety of organic and inorganic contaminants.Graphical Abstract

Previous studies to the exposure effects of acetamiprid on honeybees were based on the analysis of bee pollen and honey sacs from field trials or of beebread and honey in the hive, which overestimate or underestimate the risk of exposure to pesticide residues. It was believed that the processing factor (PF) is an important variable to determine the final pesticide residue during royal jelly formation and the actual risk to honeybee larva. Hence, a QuEChERS method to determine acetamiprid contents in honeybee samples was established in this study. Then, the PFs for acetamiprid in beebread fermentation, honey brewing, and royal jelly formation were determined to be 0.85, 0.76, and 0.16, respectively. The PF for royal jelly formation was 0.04 when acetamiprid was detected in beebread alone, and it was 0.12 when acetamiprid was only detected in honey. Finally, the predicted exposure concentration of acetamiprid in royal jelly was calculated to be 2.05 µg/kg using the PF without significant difference with the 90th percentile value (3.64 µg/kg) in the actual sample. However, the value was 16.62 µg/kg without considering the PF. This study establishes a methodology for the correct evaluation of the risk to bee larva of acetamiprid residues in bee pollen and honey sac contents and the residual levels in royal jelly.

Ecological ditches are a typical ecological facility for controlling road stormwater runoff pollution; they mainly remove harmful pollutants from runoff through plant absorption, retention and sedimentation, ecological adsorption, and microbial action. In this paper, according to the transport form of rainwater in the ditches, the removal effects of two different types of ditches on nitrogen, phosphorus, heavy metals, and other pollutants were simulated under three conditions of rainfall, slow flow, and still water, respectively, and their operating characteristics were analyzed. The results showed that the removal rate of TN in the two ecological ditches under slow flow conditions showed a downward trend as a whole with the increase of hydraulic load, and the suitable hydraulic load for TN removal should be selected as 0.3 m3/(m2 day). Under the simulated rainfall conditions, the TN removal rates of no. 1 and no. 2 ditches were 26.1–37.2% and 24.9 ~ 52.5%, respectively, and the TP removal rates were 44.6 ~ 63.3% and 36.1 ~ 62.1%. After 19.4 h and 22.1 h in the static state, the TP concentration in no. 1 ditch and no. 2 ditch reached the surface V water standard, and the average removal rate of TP was 74.7% and 53.7%, respectively. This paper provides a reference for selecting suitable parameters and optimizing the operational performance of ecological ditches to reduce runoff pollutants more effectively.

This study examines the impact of the COVID-19 pandemic on wind and green energy, with a focus on controlling the rising cost of wind energy using the levelized cost of energy (LCOE) method. The objectives include exploring green financial policies to mitigate the pandemic’s effects and analyzing the cost of wind energy in China before and after the outbreak. The findings reveal a decrease in wind energy costs and increased consumption during the COVID-19 crisis, attributed to the role of green financing. The study emphasizes the importance of wind energy growth for achieving CO2 reduction goals and highlights the need for green finance options to mitigate the economic impact of the pandemic on wind energy production. The research also suggests implications for stakeholders, such as promoting green financing and wind energy resource development. Furthermore, the study emphasizes the significance of collaboration, policy reforms, geographical spillover effects, and environmental regulations in establishing a sustainable green financial system and enhancing green innovation. Future research directions include exploring data-driven approaches, addressing endogeneity concerns, and validating findings through enhanced indices and data collection.

In this study, we aimed to fabricate an enhanced antibacterial agent to act against pathogenic bacteria in aqueous environments. To achieve this, silver nanoparticles (AgNPs) were inlaid on a kappa-carrageenan (KC) base and coated on Fe3O4 magnetic cores (Fe3O4@KC@Ag). Superparamagnetic Fe3O4 nanoparticles were designed at the center of the composite nanostructure, allowing magnetic recovery from aqueous media in the presence of a magnet. The synthesized nanoconjugate was characterized in each step using XRD, FT-IR, EDX, FE-SEM, TEM, DLS, VSM, and disk-diffusion antibacterial method. Results show that the nanocomposite system is formed, while the magnetic properties remain practically stable. The agglomeration of the AgNPs was decreased by the trap-like function of KC coating, which resulted in an improved antibacterial activity for the Fe3O4@KC@Ag formulation. These findings suggest that Fe3O4@KC@Ag nanocomposites could be promising agents for combating bacterial infections in aqueous environments.

Globally agrochemicals are widely used in the agricultural sectors, posing potential eco-toxicological risks and disrupting various lifeforms including birds. Thus, the current work was conducted to compare the acute toxic impacts of pesticides (e.g., chlorpyrifos, acetamiprid, and lambda-cyhalothrin) on the pigeon’s health. In total 50 adult pigeons were purchased from a local market where these pigeons were fed on pollution-free food. Post adaptation period (15 days), the pigeons were arbitrarily separated into five distinct groups after having been identified in this manner by chance (each group containing 10 pigeons). Control group (group 1) was not treated with any pesticide while the remaining groups (groups 2, 3, and 4) were treated with 0.25-mg/kg body weight of chlorpyrifos, acetamiprid, lambda-cyhalothrin, and a mixture of all three pesticides (group 5), respectively. After 36 days of exposure, the groups that had been exposed to the pesticide showed a significant (p < 0.05) increase in both the total number of platelets and the number of white blood cells (WBCs), in comparison to the control group. On the other hand, the groups that were exposed to the insecticides had significantly lower levels of red blood cells (RBCs), hemoglobin (Hb), and packed cell volume (PCV) (p < 0.05). The value of mean corpuscular volume (MCV) was significantly (p < 0.05) reduced in acetamiprid-exposed group, while a significant increase was observed in other pesticide-exposed groups. Obvious histopathological changes were observed in the tissues of control group and no such changes were reported by control group. Necrosis, pyknosis, lymphocyte infiltration, congestion of blood, dissolution of plasma membrane, and vacuolation were observed in the livers of pesticide-treated pigeons. The intestinal study showed the formation of goblet cells, villi rupturing, degeneration of serosa, necrosis, and pyknosis in treated groups. Renal alterations, dilation of renal tubules, reduction of glomerulus tissue, and edema were observed. This study manifests that the uncontrolled use of pesticides impairs ecosystems and poses a substantial health risk to wildlife and ultimately to human.

Heavy metals in mine tailings lead to serious environmental problems. Cemented paste backfill (CPB) is widely used for treating the mine tailing. The high cost of ordinary Portland cement (OPC) reduces the profit of mine production. The work investigates the treatment of Cr(VI)-containing tailings by using slag-based cementitious materials for CPB. Flue gas desulfurization gypsum (FGDG) and limestone were used to modify the properties of samples. Results showed that the coupling addition of 6 wt% FGDG and 3 wt% limestone (A6L3) led to the highest compressive strength of CPB samples, which also presented satisfactory immobilization effects for Cr(VI). The compressive strength of CPB samples using A6L3 as a binder was comparable to the OPC-based sample, reaching about 5.53 MPa; the immobilization efficiency for Cr(VI) was about 99.5%. The effects of FGDG and limestone were twofold: the addition of FGDG favored the formation of ettringite and then contributed to a more compact structure; besides, incorporating limestone increased the packing density of the CPB system by decreasing the loosening and wedge effect.

Human activities have compelled massive environmental degradation, which causes climate vulnerability and that has emerged as a significant health issue. The present study assesses the role of social progress with greenhouse gases to determine the health vulnerability in 77 developing countries from 2011 to 2020. The empirical results are estimated by using the panel ARDL econometric approach. The study found that greenhouse gas emission proposes a U-shaped relationship to determine health vulnerability. In this study, social progress is used as the moderator variable, which shifts the turning point of the U-shaped curve. For this purpose, the interaction term of social progress with greenhouse gases shifts the turning point to the left side of the U-shaped curve and further flattens it. Furthermore, this study explores that urbanization, export openness, and government education expenditure negatively impact health vulnerability while industrialization increases health vulnerability. The study recommends that government should pay special attention to declining greenhouse gases and rising social progress to improve health vulnerability.Graphical abstact.

Green products such as plant pigments in all filed are gaining fame globally due to their excellent ayurvedic and biological characteristics. In this study, microwave rays have been employed for the isolation of colorants from Anar Phali while bio-mordant have been included to get color-fast shades. The colorant was isolated in an acidic medium before and after microwave rays for 2 min. For getting darker shades with different tints, sustainable chemical and plant-based extracts as bio-mordant have been employed before and after bio coloration of wool yarn at given conditions. CIE Lab system computed in Colori-spectrophotometer (CS-410) was used to observe the change in color depth and tonal variation of dyed fabrics, and ISO standard methods have been employed to rate the colorfastness to light, washing, and rubbing at grey scale. It is concluded that microwave rays have an excellent sustainable efficacy to isolate colorant from Anar Phali powder for wool dyeing, whereas the addition of bio-mordants has made the process more sustainable and eco-friendly.

Sustainable development and energy security, highlighted by the United Nations Sustainable Development Goals (SDGs), necessitate the use of renewable and sustainable energy sources. However, upon careful evaluation of literature, we have discovered that many existing and emerging renewable energy systems (RESs) prioritize renewability over true sustainability. These systems not only suffer from performance inconsistencies and lack of scalability but also fall short in fully embodying the principles of sustainability and circular economy. To address this gap, we propose considering microbial fuel cells (MFCs) as a viable alternative and integral part of the renewable energy ecosystem. MFCs harness the omnipresence, abundance, and cost-effectiveness of their essential components, making them a promising candidate. Through our comprehensive analysis, we shed light on the limitations and advancements of this technology, which underscore the remarkable potential of MFCs to revolutionize our perception of clean, sustainable energy.

The problem of imbalanced urban–rural development in China is becoming increasingly serious. Urban–rural integration (URI) is an inevitable way to narrow the urban–rural gap and promote rural development. The Yellow River Basin (YRB) is an important barrier to China’s ecological security and plays a crucial role in promoting ecological protection and in high-quality development strategies. Therefore, this article constructs an evaluation index system for URI from five dimensions: economic integration, social integration, ecological integration, element integration, and spatial integration. The simulated annealing-projection pursuit model and time degree are used to analyze the dynamic urban–rural integration level (URIL) of 373 counties from 2000 to 2019. Building upon this foundation, this study classifies four types of URI zones and proposes development strategies tailored to each zone. The results indicate (1) that the URIL in the YRB continues to increase, and that there has been a significant increase in high-level integration areas since 2010. (2) The URIL exhibits a distinct spatial clustering pattern, characterized by lower levels in the upper reaches, and higher levels in the middle and lower reaches. (3) There exists a spatial disparity between economic development and the ecological environment, and it is particularly noticeable in the lower reaches regions. These results contribute to a better understanding of URI in the YRB and provide a reference for the sustainable development of URI in various regions.

Green innovation is a strategic choice for Chinese enterprises to achieve in balancing economic performance and environmental benefits. Environmental protection tax (EPT) is the first green tax in China. How to fully leverage the institutional dividends of environmental tax reform to achieve green innovation in enterprises is of great significance for the high-quality development of China’s current economy. This study takes the levy of environmental protection taxes as the quasi-natural experiment and uses DID, DDD, PSM-DID and so on to verify the impact of EPT on green innovation. The results show that EPT can improve green innovation through the path of legitimacy pressure and legitimacy management. Notably, the effects are more obvious in enterprises with non-state-owned, low-financing constraints and located in the eastern region. Furthermore, green innovations under the push of environmental protection tax can improve long-term performance, while it has a negative effect on short-term performance. The levy of EPT has the dual dividend effect of economy and environment. Moreover, this study explores the source of the legitimacy pressure and the strategic response of enterprises and provides guidance for government’s precise implementation of policies to optimize the role of EPT in green innovation.Graphical abstract

Microplastic pollution in the riverine ecosystems has caught many attentions in the scientific literatures. However, little information is available about the abundance and distribution of microplastics of the rivers discharging to the Caspian Sea. The aim of this study was to assess the spatial and seasonal distribution of microplastics in the surface waters of thirteen rivers discharging to the southern Caspian Sea. Microplastics were found in all stations with uneven distributions. The average concentrations of microplastics in the stations during snowmelt and dry seasons were 1.406 ± 0.1380 microplastics/m3 and 0.4070 ± 0.01500 microplastics/m3, respectively. Positive gradients of the rivers microplastics concentration from upstream to downstream were found. White/transparent polyethylene (PE) particles with the shape of fragment/film and the length (L) of ≤ 1 mm were the most common microplastics in the surface waters of the rivers discharging to the southern Caspian Sea. Also, the mean concentration of microplastics in spring snowmelt and runoff period was 3.45 times higher than in dry period. Factors such as sewage and household wastes; landfills; and recreational-tourism, fishing and agricultural activities along the rivers may contribute to microplastic contamination in downstream stations. Our data provide baseline information of microplastics in surface waters of rivers discharging to the southern Caspian Sea.

Globally, there are significant worries about the rise in air pollution (AP) from substances that are harmful to human health, different living forms, and unfavorable environmental imbalances. To overcome the problem, AI-based prediction model is the need of the hour. Therefore, an attempt was made to develop a novel AP prediction system based on Xavier Reptile Switan-h-based Long-Short Term Memory (XRSTH-LSTM), which undergoes fine-tuning at various steps such as pre-processing, attribute extraction, and air-quality index prediction, in order to reduce computational cost and also to increase accuracy as well as precision. The dataset used to train the proposed methodology is Air Quality Data in India (2015–2020), taken from publically available sources Kaggle. The dataset includes information on the AQI and air quality at different stations in numerous Indian cities at hourly and daily intervals. The accuracy has been calculated using MSE, MAPE, RMSE, precision, recall, and F-measure. The robustness of the proposed model is tested using parameters such as negative predicted value and Mathew correlation coefficient. The proposed model is found to efficiently process air quality with an improved accuracy of 98.52% and precision of 99.79%, which is 0.74% higher than the existing state-of-the-art model. The testing findings showed that the proposed approach worked better than the current models and offered a higher rate of accuracy in predicting air pollution.

Dissipation and persistence of fenazaquin residues in chilli and soil were studied for 2 years following two applications of fenazaquin at 10-day interval. The limit of detection and limit of quantification were 0.003 and 0.01 mg kg−1. The mean initial deposits of fenazaquin 10 EC on green chilli fruits were found to be 0.74, 1.17, and 1.79 mg kg−1 after the application @ 125 (X dose), 156.25 (1.25X dose), and 250 (2X dose) g a.i. ha−1, respectively, during the first year followed by 0.78, 1.20, and 1.70 mg kg−1, respectively, during the next year. The mean initial deposits in soil were found to be 0.18, 0.25, and 0.44 mg kg−1 for the X, 1.25X, and 2X doses, respectively, during the first year and 0.19, 0.22, and 0.39 mg kg−1, respectively, during second year. The residues of fenazaquin in green chilli dissipated above 96% at 20 days in the three different doses whereas in red chilli, the residues were present on 25 days and at maturity, residues were below the limit of quantification (LOQ). In soil, the residues dissipated below the LOQ at 15 days for X and 1.25X while 20 days for the 2X dose, respectively. The half-life values in green chilli fruits and soil for the fenazaquin were found to be in the range of 3.22–3.93 days and 2.41–3.35 days, respectively. The waiting period was calculated to be 3, 5, and 8 days for green chilli after the application of fenazaquin at 25, 156.25, and 250 g a.i. ha−1, respectively.

In the last two decades, environmental degradation has been a topic of concern. The rising level of CO2 emissions (CO2E) has adversely affected life in the E7 countries, which comprise of Brazil, China, India, Indonesia, Mexico, Russia, and Turkey. The increased in CO2E is the cause of rising sea levels in the E7 countries. Visibly, E7 nations which are considered as the largest emitters of CO2 are facing the most severe environmental challenges. This study investigates the impact of eco-innovation, economic growth (EG), renewable energy consumption (REC), economic risk (ERI), and globalization on the CO2E, using the Feasible Generalized Lease Squares (FGLS) and Panel Corrected Standard Errors (PCSE) techniques for the period 1995 to 2018. The results indicate an inverted N-shaped relationship between eco-innovation and CO2E. Also, eco-innovation, REC, and economic risk are observed to be significant factors in abating CO2 emissions. On the contrary, globalization and GDP are responsible for rising CO2E in E7 countries. According to empirical estimates, eco-innovation improves the efficiency of carbon emissions, which lowers CO2E. In addition, because they are immune to changes in the price of oil and gas and disruptions brought about by geopolitical events, renewable energy sources can offer countries a more secure energy source than fossil fuels. Alternative energy sources can reasonably cut CO2E while offering a more reliable and secure energy source. Therefore, it is crucial that policies be put in place to cut CO2E by giving priority to environmental innovative policies.

Rural revitalization denotes the gathering of large populations in rural areas and the subsequent gradual urbanization. Rural environments have been deteriorated by heavy metals (HMs) over the last few years. Without the existence of large-scale industries, the accumulation of HMs in sediments due to population aggregation in rural environments needs to be scientifically confirmed. Therefore, in this study we first understand the sediment pollution in rural environments in China and across the globe, and subsequently investigate HMs in sediments in rural micro water. The study area, Sichuan Province, China, was divided into two areas, namely, sparsely populated areas (SPA) and densely populated areas (DPA). Eight typical HMs (As, Zn, Ni, Hg, Cd, Cr, Cu, and Pb) were selected to target in riverine sediments, and the content and spatial distribution characteristics were analyzed. The results indicate that As, Hg, Cd, and Pb concentrations in sediments were higher than background values (BVs), with high concentration sample sites located in the DPA. In addition, the geo-accumulation index (Igeo), pollution load index (PLI) and potential ecological risk index (RI) were used to quantitatively evaluate the pollution characteristics of HMs in sediments, revealing that the sediments exhibited high As and Hg pollution in the DPA (PLI = 1.09). In general, mild (RI = 48.76) and moderate (RI = 154.92) HM pollution was observed in the sediments of the SPA and DPA, respectively, based on the high PLI (> 1.0) and RI (> 150) values. Correlation analysis and principal component analysis (PCA) indicate that the Cd in the sediment generally originated from geogenic sources, while the other elements (Zn, As, Cu, Cr, Hg, Ni and Pb) were primarily linked to anthropogenic sources. Finally, the results demonstrate that population aggregation will lead to the enrichment of HMs.

A laboratory experiment was performed to find out the potential bioaccumulation of metals (Al, Cu, Cd, Ni, Pb, Fe, Mn) in aquatic plants acting as natural biosorbents in the environment depending on the variation of water pH. Two plants were selected for the study: branched bur-reed—Sparganium erectum L., as a representative of emergent plants; and river water-crowfoot—Ranunculus fluitans Wimm., 1841, as a representative of submergent plants. The bioaccumulation of metals in plants relative to water (BCFW) was determined, and the metal pollution index (MPI) was calculated. The metal content in water and plants before the experiment was arranged in the following series of increasing values: Cd = Ni < Cu < Pb < Mn < Al < Fe (water) and Cd < Cu < Ni < Pb < Al < Fe < Mn (in both plants). The lowest concentration of cadmium was found in water both at the end and beginning of the experiment. In turn, aluminum level increased, and its concentration was the highest in both acidic and alkaline water. This suggests that aluminum is definitely more available to the organisms living in it under such conditions, and in higher concentrations may be a limiting factor for them. Bioaccumulation of metals (BCFW) in neutral and alkaline environments was higher in branched bur-reed, and in acidic conditions in river water-crowfoot. This may provide a basis for using specific plant species to selectively accumulate metals depending on the range of water pH. This is also supported by the MPI values, which indicate that they have a very high and often the highest impact on metal pollution levels. The observed variability of metals bioaccumulation against the condition of hydromacrophytes makes it possible to consider these plants as biosorbents used in constructed biological treatment plants, which, depending on the species placed there, can selectively absorb particular trace elements. The plants used in the experiment are common hydromacrophytes of Europe, so they can be used in the construction of artificial wetlands across the continent. The apparent diversity of metal accumulation in relation to hydromacrophytes indicates that this type of site can be inhabited by specific species, which can significantly improve the purification of natural or anthropogenic water reservoirs, i.e., those that are intended to perform a filtering function.

Human pressure on urban landscapes has serious consequences for urban plant species. Therefore, environmental and anthropogenic factors affect the assembly of urban wildlife in plant communities. For biodiversity conservation and ecosystem services in urban areas, it is crucial to understand the impacts of urbanization as well as the introduction of alien plant species on urban plant communities. On 47 sites in Poznań (W Poland), we studied variation within and between three management greenery habitats, i.e., urban parks, greenery associated with housing estates, and urban grasslands, as they relate to taxonomical, functional, and phylogenetic alpha and beta diversity. We also examined how urbanization (measured by ISA) and alien plant species relate to vegetation compositional differences. We found that both urbanization and alien plant species cover decreased alpha diversity, while urbanization had various impacts on beta diversity within each studied habitat. Our results suggest that human pressure leads to similarities in the urban flora, where plant species with specific functional traits adapted to the urban environment. To achieve sustainable urbanization, urban planners should not only create diverse green spaces but also eliminate alien plants, increasing the role of urban land management in promoting the wildness of plant biodiversity in cities.

Intense anthropogenic contamination of the air, water, and soil inspires scholars to examine the causes of pollution and provide remedies to assure environmental sustainability. Therefore, researchers in this study are driven to investigate the causes of the severe air, water, and soil contamination that has resulted from human activity and to offer recommendations for achieving environmental sustainability. This research contributes to the ecological works by suggesting the load capability curve (LCH) hypothesis and using the load capacity factor (LC) to investigate components influencing climatic quality. The LC enables thorough climatic value examination when comparing ecological footprint and biocapacity. Information and communication technologies (INF), development and research (R&D), renewable energy (RE) usage, and disposable income are all examined, considering their effects on the load capacity factor. This analysis utilizes the cross-sectionally augmented autoregressive distributed lag estimator and the Westerlund cointegration on data for the G-20 countries from 1995 to 2018. Empirical evidence suggests that renewables, R&D spending, economic complexity, and INF all benefit environmental quality. This study cannot support the LCH hypothesis, which states that increasing income worsens ecological conditions up to a certain point but then aids in improving environmental quality afterward. Based on the findings, G-20 governments should prioritize environmental policies that boost economic growth, spread renewable energy, prioritize research and development spending, and assist the implementation of green INF infrastructure.