Two nonionic POEA surfactants (CAS No. 61791-26-2), TA15 and TH30, were tested to establish their acute pathological effects and lethal concentrations (LC₅₀) in Piaractus brachypomus. Both compounds are nonionic surfactants produced by the alkoxylation of ethylene oxide with tallow amine, and they are used in variety of industries such as textiles, paints, metal working, agriculture, and polish manufacture. Fish were exposed to six concentrations of TA15 (0.2–4.0 mg/L) or TH30 (8–140 mg/L) for 96 h. The LC₅₀ for TA15 was 2.08 mg/L and for TH30 47.32 mg/L. The main clinical signs observed in fish exposed to 4 mg/L of TA15 and 32 to 140 mg/L of TH30, were lethargy, loss of shoaling behavior, respiratory distress, changes in swimming pattern, such as, loss of balance and abnormal buoyancy, prolapse of the lower lip and superior location in the water column. The highest concentrations of these compounds induced nervous signs and collapse. The relevant macroscopic lesions were skin and fins erosions with necrotic lysis of the caudal peduncle. In addition, hemorrhages in mouth, branchial arches, and petechial hemorrhages in skin were observed. An increased fluid in the celomic cavity and meningeal hemorrhages were also evident. Organs as gills, liver, brain, and anterior kidney presented severe lesions at the highest concentrations of each compound. For the first time, it is reported lesions in interrenal tissues and choroidal bodies, as well as severe telencephalic lesions associated with the POEA toxicity. These last lesions were more severe in fish exposed to TA15 than to TH30, although the pattern of injuries was similar with both substances. According to the Global Harmonized System of Classification and Labelling of Chemical (GHS) by the United Nations, we reported that TA15 is classified as Acute Category 2 and TH30 is Acute Category 3 for white cachama. Due to the low LC₅₀ and the highly toxic effects of both POEA compounds for neotropical fish, a revision of the regulation of the use of herbicide mixtures by Colombian legislation is necessary.

The air pollution problem in Xingtai and Handan is the focus of public attention. The seasonal gray model with fractional order accumulation is proposed to predict the quarterly concentrations of PM₂.₅, PM₁₀, NO₂, and CO in Xingtai and Handan. The new model has higher forecasting performance and can describe the characteristics of seasonal fluctuation very well. The forecasting results indicated that except for the PM₁₀ in Xingtai that will increase slowly, the other indicators in the two places will decrease. The changes of the air quality indicator concentration in different quarters are obvious, and in the same quarter tend to be stable. Except for CO and NO₂ in some seasons, other indicators are in the state of exceeding the standard. The effect of air pollution control is not good. The governance needs to be further strengthened.

The purpose of this study is to explore the empirical relationship between foreign direct investment (FDI), population, energy production, and water resources in South Asia. The newly developed approach dynamic common correlated effects (DCCE) by Chudik and Pesaran (Journal of Econometrics 188:393–420, 2015a) for measuring co-integration has been applied in the present study. This procedure provides significant robust outcomes in the presence of cross-sectional dependence among the cross-sectional units. The findings confirmed that earlier models, such as mean group (MG), pooled mean group (PMG), and augmented mean group (AMG), which have been used in the literature for long data, provide misleading results in the presence of cross-sectional dependence among the cross-sectional units. A statistically significant and negative result has been observed between FDI, population, energy production, and water resources in South Asia. The governments of South Asian economies must encourage green FDI initiatives for water management, ensuring water security, securing natural resources for enhancing the sustainable development of regional economies.

Numerous uncertainty factors in dispersion models should be taken into account in order to improve the reliability of predictions. The ability of a mesoscale meteorological model to assimilate observational data is an efficient way to improve operational air quality model forecasts. In this study, local weather data assimilation based on a flux-adjusting surface data assimilation system (FASDAS) is introduced to a Gaussian atmospheric dispersion model for a period with reported stable meteorological conditions. After evaluating the vulnerabilities of FASDAS, a combined data assimilation method is proposed to simultaneously improve the model weather prediction and retrieve the representation of accurate concentration distributions for short-range dispersion modeling against a control run. The two main uncertainty parameters considered are the wind speed and direction. A twin experiment demonstrates that the combined technique effectively improves the distribution of simulated concentrations. Comparison between results before and after the implement of data assimilation demonstrates that discrepancies between the reference simulation and the model forecast are mitigated after introducing the combined method, with more than 70 % of the predictions within a factor of two of the measurements. The errors in wind predictions in the FASDAS influenced the dispersion calculations, and the implementation of wind data assimilation in conjunction with the FASDAS has an indirect effect on further alleviating pollutant transport modeling errors.

Lotus seed shell was employed using one-step method combining carbonization with ZnCl₂ activation to synthesize activated carbons because of its inexpensiveness and local accessibility. The lotus seed shell–activated carbons (LSSACs) with the highest surface area (2450.8 m²/g) and mesoporosity (98.6%) and the largest pore volume (1.514 cm³/g) were tailored under optimum conditions as follows: impregnation ratio = 2:1, carbonization temperature = 600 °C, and time = 1.0 h. The surface Zn(II), abundant hydroxyl, and carboxyl functional groups from the activation process could result in rapid Pb(II) adsorption onto the LSSAC surface through surface complexation, ion exchange, or precipitation. The maximum monolayer adsorption capacity (qₘ) for Pb(II) of 247.7 mg/g at 25 °C could be fitted from the Langmuir isotherm. The Gibbs free energy (△G) and positive enthalpy (△H) indicated that the adsorption process was spontaneous and endothermic, and to some extent, it was explained by the intra-particle diffusion mechanism. Our results may provide a promising way to produce activated carbons with high adsorption capacity using solid waste, which will eventually promote the environmental sustainability.

Poultry houses emit large amounts of pollutants, e.g., ammonia and particulate matter (PM), that can affect public health, environment, and quality-of-life, due to odor. Poultry producers need low-cost and low-pressure treatments that can be compatible with existing ventilation systems. The porous windbreak wall coupled with a vegetative strip seems promising as it dissipates exhaust gases and traps PM (as well as adsorbed gases) on the screen, soil surface, as well as in the vegetation. Different windbreak wall-vegetative strip system designs were evaluated to treat the exhaust from 0.9-m fans in two types of layer house, for their abilities to reduce pollutant and odor emissions. The porous chamfered-shape windbreak wall with a footprint length of 3 fan diameters proved the most effective in reducing emissions. Even with a low system pressure of ~ 5 Pa, it greatly reduced odor, by 79% at 10 m and 59% at 5 m. It reduced TSP emissions moderately, by an average of 41%, while ammonia emissions were reduced slightly (by 21%). The chamfered screen was more readily cleaned by rainfall given the sticky nature of poultry house exhaust than the vertical screen. Overall, this low-cost, retrofittable, and modular system with a small footprint could be used by layer producers and, probably, by other poultry producers to reduce their emissions, alone or in combination with other mitigation methods to obtain greater reduction in emissions.

For remediating polluted soils, phytoextraction of metals received considerable attention in recent years, although slow removal of metals remained a major constraint in this approach. We, therefore, studied the effect of selected organic and inorganic amendments on the solubility of zinc (Zn), cadmium (Cd), and lead (Pb) in polluted soil and enhancing the efficacy of phytoextraction of these metals by Indian mustard (Brassica juncea cv. Pusa Vijay). For this purpose, a greenhouse experiment was conducted using a metal-polluted soil to evaluate the effect of amendments, viz. green manure (T2), EDTA (T3), sulfur (S)+S oxidizing bacteria (Thiobacillus spp.) (T4), metal-solubilizing bacteria (Pseudomonas spp.) (T5), and green manure + metal-solubilizing bacteria (T6), on solubility and bioavailability of Zn, Cd, and Pb. Distribution of metals in different soil fractions revealed that Cd content in water soluble + exchangeable fraction increased to the extent of 34.1, 523, 133, 123, and 75.8% in T2, T3, T4, T5, and T6 treatments, respectively, over control (T1). Cadmium concentrations in soil solution as extracted by Rhizon sampler were recorded as 3.78, 88.1, 11.2, 6.29, and 4.27 μg L⁻¹in T2, T3, T4, T5, and T6, respectively, whereas soil solution concentration of Cd in T1 was 0.99 μg L⁻¹. Activities of Cd (pCd²⁺) in Baker soil extract were 12.2, 10.9, 6.72, 7.74, 7.67, and 7.05 for T1, T2, T3, T4, T5, and T6, respectively. Cadmium contents in shoot were recorded as 2.74, 3.12, 4.03, 4.55, 4.68, and 4.63 mg kg⁻¹ in T1, T2, T3, T4, T5, and T6 treatments, respectively. Similar trend in Zn and Pb content with different magnitude was also observed across the different amendments. Cadmium uptake by shoot of mustard was enhanced to the extent of 125, 62.5, 175, 175, and 212% grown on T2-, T3-, T4-, T5-, and T6-treated soil, respectively, over T1. By and large, free ion activity of metals as measured by Baker soil test proved to be the most effective index for predicting Zn, Cd, and Pb content in shoot of mustard, followed by EDTA and DTPA. Among the metal fractions, only water soluble + exchangeable metal contributed positively towards plant uptake, which explained the variation in shoot Zn, Cd, and Pb content to the extent of 74, 81, and 87%, respectively, along with other soil metal fractions. Risk to human health for intake of metals through the consumption of leafy vegetable (mustard) grown on polluted soil in terms of hazard quotient (HQ) ranged from 0.64 to 1.10 for Cd and 0.11 to 0.34 for Pb, thus rendering mustard unfit for the human consumption. Novelty of the study mainly consisted of the use of natural means and microorganisms for enhancing solubility of metals in soil with the ultimate aim of hastening the phytoremediation.

Agriculture intensification and the use of pesticides have led to biodiversity loss due to soil toxic compounds. Thus, soil contamination studies are important to understand the negative effects in the physicochemical interactions. The use of biomarkers through bioindicators is a useful tool for assessing toxicity in agricultural environments complemented with the determination of pesticides. The objectives of this study were to determine the presence of organochlorine (OCPs) and organophosphate (OPPs) pesticides and the soil’s potential toxicity in agricultural fields with different crops from the center of Quintana Roo State, using a set of enzymatic biomarkers (BMs), such as acetylcholinesterase (AChE), glutathione-S-Transferase (GST), and catalase (CAT) on earthworms (Eisenia fetida). Earthworms were exposed for 96 h on nine different agricultural soils as well as on a reference soil from a conservation area. Within all samples of soils, only OCPs were detected in low concentrations (ranged from non-detected to 1.40 ppm). However, no correlation was observed between these pesticides and the BMs activity. AChE and CAT activity was significantly inhibited in at least one agricultural soil if compared to the conservation area, while no significant differences of GST were observed. The AChE activity observed suggests the presence of anticholinergic substances (that were neither detected nor determined analytically) in the sampled soils. The characterization of oxidative stress BMs was not correlated with the OCPs analyzed. Our results demonstrate that further studies of toxicity under field conditions are required, given the complexity of environmental conditions outside the laboratory.

A tailing impoundment situated in the mining district of La Carolina (Spain), which stores waste resulting from the washing of Pb and Ag sulphides, was studied 30 years after it was abandoned. Fibre optic sensors were installed to record humidity, temperature, electrical conductivity and oxygen content in the pores down to a depth of 35.5 m. The oxygen profiles show an oxidised thickness of 5 m, meaning that the speed of the advancing oxidation front is estimated as 15 cm year⁻¹. Sediment samples were obtained from different depths, and parameters such as pH, carbonates and metal(loid)s, among others, were analysed. High concentrations of As (> 500 mg kg⁻¹), Fe (> 34,000 mg kg⁻¹), Mn (> 900 mg kg⁻¹), Pb (> 8000 mg kg⁻¹) and Zn (> 5000 mg kg⁻¹) were found. A piezometer was installed to enable the water inside the tailing pond to be sampled, and this presented high contents of SO₄²⁻ (> 2400 mg L⁻¹), Fe (> 28,000 μg L⁻¹), Mn (> 7800 μg L⁻¹) and Zn (> 7000 μg L⁻¹), suggesting that the mineral leaching was related to the oscillations in the water table. The water from two drainage adits situated at the foot of the impoundment was also analysed, as well as surface water both upstream and downstream from it. The speciation-saturation models applied for these water samples indicated that in spite of the contamination potential of the impoundment, the deterioration in the quality of the river water is mainly due to the discharge from mining drains and the dissolution processes of precipitates accumulated along the riverbanks.

Pollution caused by heavy metals affects all forms of life. The aim of the study was to determine the content of toxic (Sr, Ni, Pb, V, Cd, U, Rb, As) and essential (Na, K, Ca, Mg, Zn, Cu, Se, Mn, Cr, Mo, Co) metals in the bone and whole blood samples, in regard to clinical means of long- and short-term exposure, respectively. For this purpose, the cortical and trabecular parts of femoral neck, as well as the blood samples, were collected to quantify bone-important metals by inductively coupled plasma (ICP)-based techniques. According to principal component analysis (PCA), the most influential metal discriminating blood samples was Cu, while all other quantified elements were present in higher amounts in the bones. Additionally, trabecular bones (TBs) could be characterized by higher content of Mo, Cr, V, Mn, Co, As, and Ni compared to cortical bones (CBs). Linear discrimination analysis (LDA) was successfully applied to distinguish trabecular bone from the cortical bone. Significant correlation between essential Ca and toxic Sr with other elements was found and discussed. This study provides novel data on the effects of metal pollutants on bone health hazards. The results obtained for investigating metals may serve as a baseline for further clinical investigations in the orthopedic fields.