Bisphenols (BPs), the main endocrine-disrupting chemicals used in polycarbonate plastics, epoxy-phenol resins, and some other manufacturers, have been interestingly focused to find their toxic effects in recent years. Due to the strong relation between bisphenols and some crucial receptors such as ERs, AR, glucocorticoid receptor, THRs, ERRs, hPXR, AhR, and etcetera, the disrupting and oncogenic role of these chemicals on reproductive, respiratory, and circulatory systems and a broad group of body tissues have been investigated. BPs induce oxidant enzymes, exert antioxidant enzymes from body cells, and result in the expression of proinflammatory genes, leading to cell apoptosis and inflammation. To maintain the homeostasis of human body cells, Nrf2, the key regulator of oxidative stress (Ashrafizadeh et al., 2020a; Ashrafizadeh et al., 2020c; Boroumand et al., 2018), confronts BP-induced ROS and RNS through the activation of antioxidant enzymes such as SOD1/2, CAT, GSH, GPX, HO-1, and etcetera. Chemicals and drugs such as LUT, NAC, GEN, L-NMMA, Ph₂Se₂, and GE can regulate the interactions between BPs and Nrf2. Despite the vital role of controlled levels of Nrf2 as an anti-inflammatory and antiapoptotic element, the uncontrolled activity of this transcription factor could lead to cell proliferation and tumorigenesis through NQO1, SLC7a11, Gclm, HMOX1, NQO1 gene activation, and some other genes. To avoid the excessive activity of Nrf2, some protein complexes like CUL3-RBX1-Keap1 (as the primary regulator), β-TrCP, and WDR23 regulate Nrf2’s function. It is necessary to note that BPA, as the most famous member, is further reviewed due to its resemblance to the bisphenol family to each other.

Bimetallic metal organic framework (MOF) has garnered interest over the years with its applications in industrial wastewater treatment. In this work, Fe-Al-1,4-benzene-dicarboxylic acid (FeAl(BDC)) MOF was synthesized, and adsorptive removal of Rhodamine B dye in batch and unique hybrid FeAl (BDC)-river sand fixed-bed column was studied. The experimental data from the batch studies corroborated well with the pseudo-second-order (PSO) (R²: 0.97) and Freundlich adsorption isotherm models (R²: 0.98) and achieved a maximum adsorption capacity of 48.59 mg/g in 90 min. Furthermore, a fixed-bed column study was conducted to assess the effect of varying flow rate (2, 5, 8 mL/min), bed height (5, 9, 13 cm), and feed concentration (10, 20, 30 mg/L) on the adsorption performance of FeAl(BDC) in continuous mode of operation. A uniform mixture of river sand and FeAl(BDC) by weight ratio (9:1) was packed into the column. The sand-FeAl(BDC) fixed-bed column could achieve the maximum adsorption capacity (qₑₓₚ) of 113.05 mg/g at a 5 mL/min flow rate, feed concentration of 20 mg/L, and a bed height of 13 cm. The experimental data of the column study were successfully fitted well with BDST, Thomas (qcₐₗ: 114.94 mg/g), Yoon-Nelson, and dose–response models (qcₐₗ: 113.41 mg/g) and R²: 0.97–0.99. The fitting parameter values from the BDST model raise the scope of viable upscaling of the fixed-bed column. In all, it is proposed that these river sand-FeAl(BDC)-based filters can be widely used in areas facing critical contamination and in poor communities with a high demand for water.

The progress of agricultural green technology is an important means and fundamental way to achieve high-quality development of agriculture. The current study takes the panel data of 31 provinces in China from 1998 to 2018 and uses the Epsilon Based Measure-Global Malmquist-Luenberger (EBM-GML) model to measure China’s agricultural green technological progress (AGTP) and discusses its dynamic evolution characteristics in the spatiotemporal dimensions. Finally, we analyze the spatial spillover effects of AGTP by the spatial Dubin model. The results show that China’s AGTP showed a trend of first rising and then falling, and the average value is 1.0525. AGTP has obvious regional unbalanced development, and the regional differences are expanding. It shows that AGTP between adjacent areas is closely linked. The Moran’s I index shows that AGTP has a significant positive spatial correlation. The local Moran’s I index shows that AGTP is concentrated in Northwest, Northeast, and North China, and green technological is degraded in East and South China. From the spatial spillover effects of AGTP, the level of agricultural economic development, real GDP per capita, and urbanization have significantly promoted AGTP in the local and neighboring areas, while the agricultural internal structure and the level of labor inhibit AGTP in the local and neighboring areas. In addition, the administrative environmental policy (ENVP) and the economic environmental policy (ECOP) have negative impacts in neighboring areas, while the policy has negative spillover effects and positive spillover effects in the local area, respectively. Therefore, we should adhere to the concept of green development, pay attention to the regional exchange of green technology, concentrate policies on low-low concentration areas, and increase the follow-up tracking and supervision mechanism of the policy design and implementation process.

Stormwater results from precipitation events and melting snow running off urban landscapes and typically being released into receiving water bodies with little to no treatment. Despite evidence of its deleterious impacts, snowmelt (SM) management and treatment are limited, partly due to a lack of quality and loading data. This study examines snowmelt quality during the spring for a cold climate, semi-arid Canadian city (Saskatoon, Saskatchewan). Four snow storage facilities receiving urban snow plowed from roads in mixed land use urban catchments (228 km²) were sampled including snow piles (five events) and SM (twelve events) runoff in 2019 and 2020. Samples were analyzed for pH, EC, TDS, TSS, COD, DOC, metals, chloride, PAHs, and Raphidocelis subcapitata and Vibrio fischeri toxicity. Notable event-specific TSS spikes occurred on April 13, 2019 (3,513 mg/L), and April 24, 2019 (3,838 mg/L), and TDS, chloride, and manganese on March 26, 2020 (15,000 mg/L, 5,800 mg/L, 574 mg/L), April 17, 2020 (5,200 mg/L, 2,600 mg/L, 882 mg/L), and April 23, 2020 (5,110 mg/L, 2,900 mg/L, 919 mg/L), though chloride remained elevated through May 1, 2020, samples (1,000 mg/L). Additionally, at two sites sampled April 13, 2019, pulses of aluminum (401 mg/L) and PAHs (pyrene, phenanthrene, anthracene; 71 µg/L, 317 µg/L, 182 µg/L) were detected. Concentrations of fluorene, benzo[a]pyrene, pyrene, phenanthrene, and anthracene in almost all SP samples exceeded national aquatic toxicity guideline thresholds, while 50% of SM samples exceeded guideline thresholds for benzo[a]pyrene and pyrene, and almost all exceeded the threshold for anthracene. Nevertheless, the EC₅₀ for R. subcapitata and V. fischeri was observed, if at all, above expected toxicity thresholds.

In recent years, there is concerted efforts to boost the tourism industry in Nigeria, and regulatory bodies were created for the tourism industry. This study is contributing to the ongoing debate on the tourism-energy-environment literature. Thus, we explore the linkage between tourism development, energy consumption, carbon dioxide (CO₂) emission, and renewable energy consumption in Nigeria for the period of 1995–2016. The present study leverages on Bounds testing to cointegration in a carbon-income function environment while incorporating renewable energy consumption to the econometric framework. Subsequently, autoregressive distributed lag methodology alongside dynamic ordinary least square (DOLS) is utilized for robustness of estimations. Empirical results give credence to the energy-induced emission hypothesis in Nigeria. This outcome is suggestive to policymakers as fossil fuel-based energy consumption deplete the quality of the environment. Similarly, the study also affirms the environmental Kuznets curve (EKC) phenomenon. The emphasis on Nigerian growth trajectory (real income level) relative to her quality of environment via the channel of economic development and energy consumption from fossil-fuel source is indicated. On the other hand, renewable energy consumption in Nigeria shows significant ability to reduce emission level in Nigeria. This result is insightful, which implies that environmental quality is not threatened with an increase in tourist arrivals, hence tourism does not degrade the environment but is sustainable to the environment. Interesting and laudable for stakeholders’ international tourism arrival did not deplete the quality of the environment. The plausible explanation is attributed to the scale of tourism in Nigeria which at the moment is still low or much more there is caution/awareness on ecotourism for sustainable environment.

The present paper discussed the comparison of the persistence and mobility of metsulfuron-methyl from a residue field trial experiment and simulation using a VARLEACH model. The residue field trial experiment was performed at Sungai Buloh Oil Palm Estate, Selangor. The plots were treated with metsulfuron-methyl at two treatment rates of 15 g a.i ha⁻¹ (T1) and 30 g a.i ha⁻¹ (T2). Soil samples were collected at 0, 1, 3, 7, 14, 21, 30, 60 and 90 days after treatment (DAT) and analysed subsequently by HPLC–UV. The results show that metsulfuron-methyl degraded rapidly in the soil with the half-life (t½) of 6.3 days in T1 and 7.9 days in T2. The simulation of VARLEACH model gave similar pattern of persistence and mobility of metsulfuron-methyl in the soil profile. However, total residues and the mobility of the metsulfuron-methyl were poorly simulated by the VARLEACH model due to consistent overestimation of the quantified residues. Results indicated that the metsulfuron-methyl lost more rapidly than the prediction values from VARLEACH model. In this case, simulation models which use transformation routines similar and which include additional degraded processes such as leaching, volatilisation, plant uptake or runoff could be considered. Albeit, overestimated values on the concentrations of metsulfuron-methyl are reported using VARLEACH model, the model still can be used as rapid and fast approach to predict the behaviour of pesticide at minimum cost.

The lack of information from column studies of Cu²⁺ transport in polyaluminium chloride and anionic polyacrylamide water treatment residuals (PAC-APAM WTRs) has been hampering their reuse as a media in stormwater bioretention systems. The transport behavior of inactive tracer Br⁻ and Cu²⁺ in various systems with and without the presence of Pb²⁺, Cd²⁺, and Zn²⁺ was investigated in the columns of PAC-APAM WTRs under saturated steady flow conditions. Modeling Br⁻ breakthrough curves (BTCs) using CXTFIT revealed that the transport of a solute in the columns was an equilibrium process almost without stagnant water, with all active sites on PAC-APAM WTRs being instantaneously available for the adsorption reaction during transport (βₚ = 0.99 and ωL = 100). The results of modeling Cu²⁺ BTCs with HYDRUS-1D showed that the chemical non-equilibrium two-site model (R² 0.8911–0.9999; RMSE 0.00–0.05) described the experimental data of Cu²⁺ better than the equilibrium convection–dispersion model using the linear isotherm (R² 0.4877–0.9901; RMSE 0.02–0.12) and the Langmuir isotherm (R² 0.7083–0.9938; RMSE 0.01–0.10). The fraction of instantaneous adsorption sites at the equilibrium (fₑ) of Cu²⁺ decreased with the increase of co-existing heavy metal ions from 0.27 (monocomponent system) to 0.06 (quaternary system) due to competitive adsorption with the Cu²⁺, Cd²⁺, and Zn²⁺ systems as an exception. The first kinetic rate (ω) of Cu²⁺ increased with the increase of competitive heavy metal ions from 0.0076 (monocomponent system) to 0.0410 (quaternary system). This research could contribute to the understanding of Cu²⁺ transport and potential leaching in stormwater bioretention systems.

Microplastics (MPs) and chemical pollutants usually coexist in aquatic environments. The bioaccumulation and metabolism of pollutants in aquatic organisms can be influenced by MPs. In this study, the bioaccumulation of triclosan (TCS) in tilapia tissues was determined, and metabolomics in the liver, gills, and gut were investigated after 10-day exposure to micro-sized polystyrene (PS) and TCS in water. The results showed that TCS bioaccumulated in various tissues, with the highest average concentration of 2728 ± 577 ng g⁻¹ in the gut. The log bioaccumulation factors (BAFs) for TCS in these tissues were in the range of 0.99–3.56. Compared to the TCS treatment alone, MPs showed enhancement on the bioaccumulation of TCS in tilapia skin, liver, gut, gills, and stomach tissues in the TCS plus MP exposure. Especially in the skin and liver, the TCS concentrations were up to 2.06 and 1.38 times higher in the co-exposure of TCS and MPs, respectively. Based on the metabolomic analysis, MPs mainly disturbed the lipid and energy metabolism in tilapia fish. The altered metabolites between treatment with TCS alone and TCS + MPs were consistent, indicating that TCS has stronger disturbance in lipid and energy metabolism than MPs. This implies that the metabolism influence by the mixture of MPs and compounds is complicated in fish tissues.

Economic policies related to energy and the environment are found uncertain in developing economies. Renewable energy sources are gradually increasing in energy structure (ES) with the adoption of environment-related technologies (ERT). However, least attention is paid to investigating the nexus of economic policy uncertainty (EPU), ERT, ES, and ecological footprint (EF). Therefore, this study is an effort to examine the EPU, ERT, ES, and interaction of EPU and ERT on EF for BRICS economies under the umbrella of the STIRPAT model. By using the data from 1992 to 2020, findings are estimated through “cross-sectional dependence (CD test); CIPS and CADF unit root test; Westerlund’s co-integration; and CS-ARDL, AMG, and CCEMG.” Findings unveiled the negative role of EPU on EF. Furthermore, the role of RE and ERT is positive and substantial in decreasing the environmental degradation in BRICS. Therefore, the BRICS economies are suggested to be consistent on economic policies to catch the positive impact of ERT. Findings are robust to the policy implications.

Previous studies have explored the effect between ambient temperature and infectious diarrhea (ID) mostly using relative risk, which provides limited information in practical applications. Few studies have focused on the disease burden of ID caused by temperature, especially for different subgroups and cities in a multi-city setting. This study aims to estimate the effects and attributable risks of temperature on category C ID and explore potential modifiers among various cities in Guangdong. First, distributed lag non-linear models (DLNMs) were used to explore city-specific associations between daily mean temperature and category C ID from 2014 to 2016 in Guangdong and pooled by applying multivariate meta-analysis. Then, multivariate meta-regression was implemented to analyze the potential heterogeneity among various cities. Finally, we assessed the attributable burden of category C ID due to temperature, low (below the 5th percentile of temperature) and high temperature (above the 95th percentile of temperature) for each city and subgroup population. Compared with the 50th percentile of daily mean temperature, adverse effects on category C ID were found when the temperature was lower than 12.27 ℃ in Guangdong Province. Some city-specific factors (longitude, urbanization rate, population density, disposable income per capita, and the number of medical technicians and beds per thousand persons) could modify the relationship of temperature-category C ID. During the study period, there were 60,505 category C ID cases (17.14% of total cases) attributable to the exposure of temperature, with the attributable fraction (AF) of low temperature (4.23%, 95% empirical confidence interval (eCI): 1.79–5.71%) higher than high temperature (1.34%, 95% eCI: 0.86–1.64%). Males, people under 5 years, and workers appeared to be more vulnerable to temperature, with AFs of 29.40%, 19.25%, and 21.49%, respectively. The AF varied substantially at the city level, with the largest AF of low temperature occurring in Shaoguan (9.58%, 95% eCI: 8.36–10.09%), and that of high temperature occurring in Shenzhen (3.16%, 95% eCI: 2.70–3.51%). Low temperature was an important risk factor for category C ID in Guangdong Province, China. The exposure–response relationship could be modified by city-specific characteristics. Considering the whole population, the attributable risk of low temperature was much higher than that of high temperature, and males, people under 5 years, and workers were vulnerable populations.