Indicators Of Environmental Pollution Research Articles

Decabromodifenyl Ether (BDE-209) in Surface Soils from Warsaw and Surrounding Areas: Characterization of Non-Carcinogenic Risk Associated with Oral and Dermal Exposure.

Polybrominated diphenyl ethers (PBDEs) have been used for many years as flame retardants. Due to their physicochemical and toxicological properties, they are considered to be persistent organic pollutants (POPs). BDE-209 is the main component of deca-BDE, the one PBDE commercial mixture currently approved for use in the European Union. The aim of this study was to analyse BDE-209 in surface soil samples from Warsaw and surrounding areas (Poland) as an indicator of environmental pollution with PBDEs, and to characterise the associated health risk. A total of 40 samples were analysed using gas chromatography with electron capture detection (GC-µECD). Concentrations of BDE-209 in soil ranged from 0.4 ng g-1 d.w. (limit of quantification) to 158 ng g-1 d.w. Overall, 52.5% of results were above the method's limit of quantification. The highest levels were found at several locations with heavy traffic and in the vicinity of a CHP plant in the city. The lowest concentrations were observed in most of the samples collected from low industrialized or green areas (<0.4 to 1.68 ng g-1 d.w.). Exposure to BDE-209 was estimated for one of the most sensitive populations, i.e., young children. The following exposure routes were selected: oral and dermal. No risk was found to young children's health.

A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula

AbstractAccurate forecasting of environmental pollution indicators holds significant importance in diverse fields, including climate modeling, environmental monitoring, and public health. In this study, we investigate a wide range of machine learning and deep learning models to enhance Aerosol Optical Depth (AOD) predictions for the Arabian Peninsula (AP) region, one of the world’s main dust source regions. Additionally, we explore the impact of feature extraction and their different types on the forecasting performance of each of the proposed models. Preprocessing of the data involves inputting missing values, data deseasonalization, and data normalization. Subsequently, hyperparameter optimization is performed on each model using grid search. The empirical results of the basic, hybrid and combined models revealed that the convolutional long short-term memory and Bayesian ridge models significantly outperformed the other basic models. Moreover, for the combined models, specifically the weighted averaging scheme, exhibit remarkable predictive accuracy, outperforming individual models and demonstrating superior performance in longer-term forecasts. Our findings emphasize the efficacy of combining distinct models and highlight the potential of the convolutional long short-term memory and Bayesian ridge models for univariate time series forecasting, particularly in the context of AOD predictions. These accurate daily forecasts bear practical implications for policymakers in various areas such as tourism, transportation, and public health, enabling better planning and resource allocation.

Biochemistry biomarkers and metal levels as indicators of environmental pollution in Danio rerio exposed to the Sorocaba River (S.P.), Brazil.

Metal contamination of the environment poses a significant threat to human health and can cause significant damage to aquatic ecosystems. Danio rerio was exposed to Sorocaba River water for 96 h from two different sites in summer (S) and winter (W). Concentrations of Al, Cd, Cu, Mn and Zn were determined in the exposure water and in sediment. At the end of the exposure, the concentrations of Al, Cu and Mn at the Ibiúna point (P1) and Mn at the Itupararanga point (P2) decreased compared to the initial concentrations in the water. In summer and winter, the highest concentrations of Cu and Mn were found in the sediment. Exposure to the Sorocaba River water caused various responses both in summer and winter. For example, GPx decreased in winter, Glutathione S-Transferase (GST) increased in summer, and Nitric Oxide Synthase (NOS) decreased in both seasons in the viscera. In winter, SOD Superoxide Dismutase (SOD) increased, while GPx and GST (winter) decreased in muscle; regarding viscera carbonyl proteins, there was an increase in the summer at P2. Acetylcholinesterase activity decreased in the brain in winter at P2 and NOS decreased in the summer-exposed groups and increased in the winter P2-exposed group. Lactate dehydrogenase (LDH) and malate dehydrogenase (MDH) decreased in viscera (S, P1) and increased in muscle (S, P1 and P2). The glucose and triglycerides increased in muscle, both in summer and winter. Correlation analysis revealed associations between biomarkers from different organs. These alterations suggest that the fish experienced oxidative stress in response to exposure to the Sorocaba River, contaminated with metals, highlighting their vulnerability to environmental pollutants.

Organic eggs as an indirect indicator of agricultural environmental pollution – preliminary research

This study aimed to analyse the heavy metal content in eggs and feeding stuffs dedicated to organically reared birds as an indirect indicator of agricultural environment pollution. The material consisted of 180 table eggs, from caged hens and two organic farms (OF) with different locations. Feed samples were also collected. The samples were mineralised and the content of Ca, Na Mg, K, Fe, Zn, Cu (in yolks) and Pb, Cd, As, Cr (in yolks and feed) was determined. The home-produced feed mixtures contained higher doses of heavy metals (HM) compared to their commercial equivalents. Although no high levels of HM contamination were found in the feed compounds, their content in the eggs was significantly higher than in the feed. Also, depending on the region of the study, metal concentration levels can vary significantly. Due to the area-limited nature of poultry production sites, eggs obtained in specific areas can serve as an indirect and non-invasive bioindicator of environmental HM pollution. The analyse of correlations between particular elements allows to assess the impact and extent of pollutant emitters and to model the areas designated for OF to ensure that the produced food is as safe as possible.

Комплексная оценка экологического состояния участка трансграничной реки Нарвы

A comprehensive study of the ecological state on the transboundary Narva River (Russia –Estonia border) downstream of Ivangorod, Kingisepp District, Leningrad Region, was carried out. It included the determination of chemical indicators of pollution of the natural river water, with an emphasis on some heavy metals content in water, sediments and soft tissues of local filter-feeding mollusks; the latter were used as bioindicators of river pollution in this location. Zn was determined in maximum concentrations in bottom sediments, then Cu, to a lesser extent Pb, Cd and Ni. The coefficient of metal bioconcentration calculated in soft tissues of mollusks showed maximum for Zn and Cu, to a lesser extent for Pb, Cd and minimum for Ni. However, such values have no negative effect on local biota as shown by physiological testing of bivalves from study site. The functional assessment of bivalves by non-invasive cardiac rhythm recording made it possible to characterize their functional status and adaptive capabilities as good. The relative abundance of hydrocarbon-oxidizing bacteria in the digestive tract of mollusks from the Narva River has been determined as an indicator of environmental pollution by oil products. It was noted that the number of hydrocarbon-oxidizing bacteria does not exceed the values characteristic of the reference waters of the Eastern Gulf of Finland. Based on the totality of the studies, it was concluded that the river waters in the studied location can be characterized as slightly polluted and its ecological status as of a good quality.

DETECTION OF SOME ORGANOCHLORINE PESTICIDES IN LARGE AFRICAN SNAILS FROM OJE MARKET, IBADAN, NIGERIA

Snails (Mollusca: Achatinadae) are crucial fauna species on earth that serve the functions of food and biological indicators of environmental pollution. Numerous chemical discharges from agricultural applications of pesticides and industrial outlets could destroy human body parts and deplete the environment. This study assessed the occurrence of some organochlorine pesticides in giant African snails from Oje Market, Ibadan, Nigeria. Aldrin, dichlorodiphenyltrichloroethane (DDT), and heptachlor epoxide levels were measured in snails taken at random from thirty (30) sample points in the Oje market in Ibadan. Snails were weighed, labeled, and then divided into three groups of ten (10). The forte extraction method was used, and gas chromatography with an electron capture detector (GC/ECD) was used to analyze the various pesticide types in the snail sample. The mean concentration of heptachlor epoxide is 41.65 mg/kg, higher than aldrin and dichlorodiphenyltrichloroethane (9.44 mg/kg and 4.17 mg/kg, respectively). The concentrations of pesticides range from 4.27 mg/kg - 21.77 mg/kg for aldrin, 2.80 mg/kg to 6.92 mg/kg for dichlorodiphenyltrichloroethane, and 22.87 mg/kg to 75.15 mg/kg for heptachlor epoxide. The Pearson correlation coefficient between Aldrin and DDT is 0.939, while that of Aldrin and Heptachlor epoxide is 0.945, and that of Heptachlor epoxide and dichlorodiphenyltrichloroethane is 0.981. The analysis revealed a solid positive correlation between the concentration of pesticides. The pesticide levels observed in the snail samples exceeded those of the World Health Organization and the Food and Agriculture Organization. Therefore, snails' consumption should be monitored to avoid toxicity in humans.

Assessment of Hydro-Geochemical Indices of Periyar River in Eloor Industrial Belt (Kerala), India to Identify Potential Environmental Impacts

The study investigated the role of hydrogeochemical parameters that act as indicators of environmental pollution in industrial areas of Periyar River, Kerala India. A total of 20 water/sediment samples collected along the industrial stretch of Eloor-Vypin area during the premonsoon season of the year 2020. Among the hydrochemical parameters, extent of pollution was imparted by the assessment of nutrients and heavy metals concentration. The micro nutrients such as silicate (640-3440μg/L), ammonia (4.42-894.2μg/L), phosphate (28.65-132.41μg/L), nitrite (3.12-30.14μg/L), and nitrate (50.13-851.97μg/L) were found to have higher enrichment at locations near the industrial areas of the study. The identified heavy metals, Zn, Mn, Pb, Cr, Cd, and Th having concentrations ranging from 1.0-152.4, 1.2-49.2, 1.2-31.7, 3.0-26.2, 1.1-13.3, 0.1-3.2μg/L, respectively. Various pollution indices suggest that the sediments having low to moderate level heavy metal contamination. The conditions may be worsen in the future if the industrial activities are continued in an unregulated manner. Keywords: Industrial Pollution; Heavy Metals; WQI; Hydrochemical Studies; Contamination Factor

Study of current benthic foraminifera as environmental bioindicators in the mediterranean coasts, northwest Morocco

In this project, we introduce a novel methodology for analysing the environmental conditions in the coastal area of Martil (Tétouan, Morocco) using benthic foraminifera as bio-indicators of marine ecological status. Benthic foraminifera have emerged as reliable indicators of environmental pollution, Their sensitivity to environmental changes, wide geographic presence, and short life cycle make them ideal for indicating the ecological status. Our study focused on the Mediterranean coastal region, along a radial perpendicular to the coast, at different depths, at the mouth of the Martil River, in addition to a control sample collected in the Azla region at a depth of 25 meters. Abiotic parameters like pH, temperature, and dissolved oxygen were measured on-site, complemented by detailed sedimentary analyses in the laboratory. A meticulous protocol was followed for the study of microfauna, particularly benthic foraminifera, involving washing, extraction, sorting, species identification, statistical counting, and microscopic imaging. Utilizing CA and AHC analyses, we identified factors influencing benthic foraminifera distribution, such as sediment depth and grain size variations. Specific indices derived from foraminifera data allowed us to assess stress levels accurately. This comprehensive approach provides valuable insights into evaluating the ecological health of Morocco's coastal marine ecosystems, paving the way for informed conservation efforts and sustainable management practices.

Blood and hoof biodistibution of some trace element (Lithium, Copper, Zinc, Strontium and, Lead) in horse from two different areas of Sicily

Background and purposeBiological monitoring of trace element horses is a well-known tool for investigating potential bioaccumulation in urbanized and industrialized geographical areas. Some biomaterials such as hoof are considered as an important indicator of environmental pollution. Hooves can store trace elements for a long time compared to blood and this represents a scientific key to long-term monitoring of exposure to environmental pollutants. In the present study, samples of equine hoof and blood were taken from an experimental group of horses living in an industrialized area of Sicily (Italy) and from a control group of horses housed in a non-industrialized area of Sicily to evaluate the bioaccumulation of different trace elements in different substrates. MethodsHoof and blood mineral concentration of Li- Lithium, Cu- Copper, Zn- Zinc, Sr- Strontium and, Pb- Lead was processed by means of Thermo Scientific iCAP-Q ICP–MS spectrometer. Student T-test was applied to evaluate the differences between groups and substrates. Correlation analysis between substrates and hematological parameters was performed. ResultsStatistical analysis showed a significant statistical difference for Li (p < 0.0001) and Pb (p < 0.0001) between blood and hoof in both groups. A statistically significant difference was observed for Li (p < 0.0001), Cu(p < 0.01), Zn (p < 0.0001) and Pb (p < 0.0001) between substrates in the experimental group. The statistical analysis showed a significant difference of blood Zn (p < 0.01) and hoof Pb (p < 0.01) concentration between groups. Our results revealed a statistically higher concentration of minerals in the blood substrate than in the hoof in both groups. Li (p < 0.0001) and Zn (p < 0.001) were positively correlated between control and experimental group in blood substrate. No correlations were found (P > .05) in hoof between groups for other elements. A positive correlation with WBC was observed in Cu concentration for hoof substrate (p < 0.02) in control group and for Zn in experimental group (p < 0.02). A positive correlation with HGB and HCT was observed for Cu hoof concentration (p < 0.02) in experimental group and PLT resulted positively correlated (p < 0.02) with Pb blood substrate in control group. ConclusionsHorses were not overexposed to these elements in the analyzed groups. The study highlights the role of a new bioaccumulation substrate such as the horse hoof identified as an analytical matrix for the monitoring of heavy metal concentrations in domestic animals.

Perchlorate in honey from China: Levels, pollution characteristics and health risk assessment

The release and accumulation of perchlorate into the environment have raised concerns about safety to food, however, the dietary risk of perchlorate in honey have not yet received attention. Herein, we investigated the pollution characteristics and assessed the human health risks of perchlorate in honey from China. A total of 151 honey samples collected from 20 provinces of China were analyzed, and overall detection frequencies was 95.4 %. The levels of perchlorate ranged from below limit of quantitation to 612 μg/kg, with a mean value of 34.5 μg/kg. Lychee honey samples had the highest mean perchlorate concentration (163 μg/kg). The mean concentration of perchlorate in the honey samples produced in South China was significantly higher than that in honey from Southwest China, East China and North China (P < 0.05). The health risk assessment showed that mean hazard quotient (HQ) values of different honey for children (ranged from 0.0108 to 0.400) and adults (ranged from 0.0123 to 0.453) were less than 1. This result indicated that mean pollution levels of perchlorate in various honey were unlikely to pose health risk. However, perchlorate concentrations in two lychee honey samples had associated HQ values were >1, suggesting potential health risks. This work not only offers valuable information for honey consumer, but also important reference for comparison of honey samples in the future. Environmental implicationPerchlorate contamination has become a hot environmental issue in connection with human health due to its potential thyroid toxicity and widespread occurrence in environment and foods. Honey not only was widely beloved by consumers worldwide but also considered a potential indicator of environmental pollution. Here, a national investigation and risk assessment of perchlorate levels in different types of honey from China was conducted. The results describe the perchlorate contamination were extensive in honey samples, mean levels of perchlorate in various honey were unlikely to cause health risks. However, significantly high level of contamination in lychee honey should be of concern.

The dampening effect of geopolitical risk and economic policy uncertainty in the linkage between economic complexity and environmental degradation in the G-20

The question remains whether high geopolitical risk and economic policy uncertainty will have a dampening or enhancing effect on pollution factors. In this regard, the study empirically investigates the effects of economic complexity, geopolitical risk, economic policy uncertainty, renewable energy consumption and economic growth on environmental pollution for G-20 countries from 1997 to 2018. The long-term coefficient estimates, derived from the FMOLS estimator, support the inverted U-shaped EKC linkages between economic complexity and ecological footprint, carbon footprint and carbon dioxide emissions. Furthermore, over the long term, geopolitical risks, renewable energy use, and the interaction between economic complexity and policy uncertainty have a positive impact on environmental quality in the G-20 economies. Conversely, economic growth and the interaction between economic complexity and geopolitical risk are negatively associated with environmental quality.Additionally, economic policy uncertainty has a positive effect on ecological footprint carbon footprint and carbon dioxide emissions. Finally, causality results revealed that explanatory variables are the cause of environmental pollution indicators. Hence, in order to advance environmental quality in these nations, precautions must be taken to mitigate the effects of economic policy uncertainty and boost the accessibility of renewable energy sources. Additionally, while not advised as a policy measure, the feasible economic fallout of geopolitical risk should also be considered.

Impact of industrial robots on environmental pollution: evidence from China

The application of industrial robots is considered a significant factor affecting environmental pollution. Selecting industrial wastewater discharge, industrial SO2 emissions and industrial soot emissions as the evaluation indicators of environmental pollution, this paper uses the panel data model and mediation effect model to empirically examine the impact of industrial robots on environmental pollution and its mechanisms. The conclusions are as follows: (1) Industrial robots can significantly reduce environmental pollution. (2) Industrial robots can reduce environmental pollution by improving the level of green technology innovation and optimizing the structure of employment skills. (3) With the increase in emissions of industrial wastewater, industrial SO2, and industrial dust, the impacts generated by industrial robots are exhibiting trends of a “W” shape, gradual intensification, and progressive weakening. (4) Regarding regional heterogeneity, industrial robots in the eastern region have the greatest negative impact on environmental pollution, followed by the central region, and the western region has the least negative impact on environmental pollution. Regarding time heterogeneity, the emission reduction effect of industrial robots after 2013 is greater than that before 2013. Based on the above conclusions, this paper suggests that the Chinese government and enterprises should increase investment in the robot industry. Using industrial robots to drive innovation in green technology and optimize employment skill structures, reducing environmental pollution.

Do the effects of aggregate and disaggregate energy consumption on different environmental quality indicators change in the transition to sustainable development? Evidence from wavelet coherence analysis.

In the 2030 Agenda for Sustainable Development, adopted by the United Nations (UN) member states in 2015, half of the target period has been exceeded. However, China, whose energy consumption relies heavily on fossil resources, remains at the top of the list of global polluters. Therefore, investigating the environmental impacts of energy types is essential to China's path towards Sustainable Development Goals (SDG)-7 and SDG-13. Based on this motivation, the paper offers new insights into the energy-environment literature for China with wavelet coherence analysis (WCA). This approach can investigate the relationship between variables in a periodic manner based on the frequency behavior of the models. The paper separately analyzes the effects of primary energy consumption (PEC), fossil energy consumption (FEC), renewable energy consumption (REC), nuclear energy consumption (NEC), GDP, and population (POP) on three different environmental indicators in China. Using two environmental pollution indicators (carbon emission (CO2) and ecological footprint (EF)) and one environmental quality indicator (load capacity factor (LCF)), the paper allows for comparison and robustness checks on the environmental impacts of energy indicators. Empirical findings reveal the following: (i) Except for REC and POP in the CO2 model, the variables in all three models largely move together during the period under observation; (ii) variables other than POP have consistent coefficient signs; (iii) PEC, FEC, NEC, and GDP increase CO2 and EF while decreasing LCF; (iv) the effect of NEC on LCF is more obvious until 2000; (v) unlike the others, REC affects CO2 and EF negatively and LCF positively; (vi) there is bidirectional causality between PEC and environmental indicators but not for REC; (vii) the causality relations of other variables with environmental indicators differ in terms of model, time, and direction of causality. In light of the findings, the paper highlights that only the REC improves environmental quality in China. Other energy indicators contribute to environmental degradation. China, whose ecological deficit has increased dramatically in recent years, urgently needs to reduce its dependence on fossil energy sources by accelerating investments in REC. Governments should also review nuclear energy policies, which are expected to help achieve carbon neutrality.

Study of heavy metal resistance genes in Escherichia coli isolates from a marine ecosystem with a history of environmental pollution (arsenic, cadmium, copper, and mercury).

We analyzed whole genome sequences of 308 Escherichia coli isolates from a marine ecosystem to determine the prevalence and relationships of heavy metal resistance genes (HMRGs) and antibiotic resistance genes (ARGs), as well as the presence of plasmid sequences. We screened all genomes for presence of 18 functional HMRGs conferring resistance to arsenic, cadmium, copper, or cadmium/mercury. In subset analyses, we examined geographic variations of HMRG carriage patterns in 224 isolates from water sources, and sought genetic linkages between HMRGs and ARGs in 25 genomes of isolates resistant to antibiotics. We found high carriage rates of HMRGs in all genomes, with 100% carrying at least one copy of 11 out of 18 HMRGs. A total of 173 (56%) of the isolates carried both HMRGs and plasmid sequences. In the 25 genomes of antibiotic-resistant isolates, 80% (n = 20) carried HMRGs, ARGs, and plasmid sequences, while 40% (n = 10) had linked HMRGs and ARGs on their assembled genomes. We found no evidence of geographic variation in HMRG frequency, nor any association between locational proximity to Superfund sites and co-carriage of HMRGs and ARGs. Our study findings indicate that HMRGs are common among E. coli in marine ecosystems, suggesting widespread heavy metal presence in water sources of a region with history of environmental pollution. Further research is needed to determine the role HMRGs play in driving antimicrobial resistance in human pathogens through genetic linkage and the value their detection in environmental bacterial genomes may offer as an indicator of environmental heavy metal pollution.

The asymmetric effect of environmental pollution and macroeconomic indicators on interpersonal violence across OECD countries

The asymmetric effect of environmental pollution and macroeconomic indicators on interpersonal violence across OECD countries

Chemical and Biological Indicators of Environmental Pollution in the Canal do Cunha (Guanabara Bay, Rio de Janeiro, Brazil): Analysis and Determination of Toxins

Chemical and Biological Indicators of Environmental Pollution in the Canal do Cunha (Guanabara Bay, Rio de Janeiro, Brazil): Analysis and Determination of Toxins

Assessment of Toxic Element Contamination in Honey, Milk, and Eggs from Algiers (Algeria) Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS): Exploring Health Implications of Pollution.

Consumption of foods such as milk, honey, and eggs contaminated with toxic elements above established norms poses a health risk to the population. This study explores the potential of products from beehives, poultry, and dairy as indicators of environmental pollution caused by toxic substances (Pb, Cd, Hg), seeks contamination sources, evaluates the exposure level, and assesses health risks. Through the analysis of samples from three distinct regions in Algiers, including 30 milk, 30 honey, and 30 poultry egg samples, the study assesses levels of toxic elements (lead, cadmium, and mercury) using ICP-MS and analyzes consumer exposure risk. The analysis of honey reveals levels of Pb (0.282 μg/g) > Cd (0.161 μg/g) > Hg (0.017 μg/g), the analysis of eggs shows levels of Pb (0.399 μg/g) > Cd (0.239 μg/g) > Hg (0.027 μg/g), and the results in milk show levels of Cd (0.250 μg/g) > Pb (0.131 μg/g) > Hg (0.019 μg/g). The risk analysis indicates a risk associated with milk consumption for both adults and children, whereas for honey and eggs, the risk is limited to children only in polluted areas. Future research should expand to other toxic elements in different food matrices in both northern and southern Algeria to evaluate the health risk for African and European consumers.

Stress Response in the Honeybee (Apis mellifera L.) Gut Induced by Chlorinated Paraffins at Residue Levels Found in Bee Products.

Chlorinated paraffins (CPs) have become global pollutants and are of considerable concern as a result of their persistence and long-distance transmission in the environment and toxicity to mammals. However, their risks to pollinating insects are unknown. Honeybees are classical pollinators and sensitive indicators of environmental pollution. Herein, the effects of CPs on the gut microenvironment and underlying mechanisms were evaluated and explored using Apis mellifera L. Both short- and medium-chain CPs had significant sublethal effects on honeybees at a residue dose of 10 mg/L detected in bee products but did not significantly alter the composition or diversity of the gut microbiota. However, this concentration did induce significant immune, detoxification, and antioxidation responses and metabolic imbalances in the midgut. The mechanisms of CP toxicity in bees are complicated by the complex composition of these chemicals, but this study indicated that CPs could substantially affect intestinal physiology and metabolic homeostasis. Therefore, CPs in the environment could have long-lasting impacts on bee health. Future studies are encouraged to identify novel bioindicators of CP exposure to detect early contamination and uncover the detailed mechanisms underlying the adverse effects of CPs on living organisms, especially pollinating insects.

Common carp as an ecological indicator of environmental pollution in reservoirs of southern Spain: inferring the environmental risks of anthropogenic activities.

Extraction and mineral processing, as well as the waste generated by old abandoned mining sites, are the main sources of contamination of water bodies and lands by potentially toxic elements (PTEs). The common carp (Cyprinus carpio Linnaeus 1758) has been reported to be a good ecological indicator of environmental pollution in water bodies. Hence, we evaluated the concentration of eleven PTEs (As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, and Zn) in different tissues of common carp in two reservoirs of the province of Jaén, southern Spain: El Tranco de Beas (S1) and La Fernandina (S2). We also assessed the concentration of PTEs in water and sediment samples. We used inductively coupled plasma mass spectrometry for all the collected samples. We found high concentrations of As and Fe in water in the S2 reservoir, above the maximum limits allowed by the sanitary criteria in Spain; however, the analysis of sediments indicated low ecological risk in S1 and moderate ecological risk for As in S2. The concentration of PTEs in common carp was higher in the S2 reservoir, exceeding the permissible limits in the case of As, Cd, Pb, and Zn. As and Cd showed higher concentrations in the kidney; Cu, Fe, and Zn showed higher concentrations in the liver; and Pb and Mn presented higher concentrations in the gill and gill bone. There was a good correlation between the concentrations found in water/sediment samples and those in common carp, corroborating its usefulness as a good ecological indicator, allowing the detection of environmental pollution and inferring previous or current anthropogenic activities such as mining.

Technology Innovation-institutional Quality on Environmental Pollution Nexus From E-7 Nations: Evidence From Panel Ardl Cointegration Approach

This groundbreaking study looked at the issue of pollution of the environment in the E7 countries from 2002 and 2022. We implemented ARDL to investigate how GDP, institutional quality, trade openness, and technological innovation affect CO2 emissions, CH4 emissions, and N2O emissions, which are regarded as indicators of environmental pollution. The findings show that the variables have a lasting, substantial association and all the factors e.g institutional quality, technology innovation, economic growth and trade openness are important factors to effect environmental pollution, except institutional all other factors cause increase in environmental damage because these variables bring increase in CO? emission whereas institutional quality plays a supportive role in environment. In contrast to institutional quality, which has a negative and statistically significant relationship with CO?, trade openness, economic growth, and innovation in technology all have positive and statistically significant relation with carbon dioxide emission. On the other hand, IQ, TOP, and GDP has significant and positive association with Nitrous oxide (N20). Trade openness and Methane (CH4) have a negative relationship which means trade helps to reduce methane emission in the examined countries, although GDP and CH4 have a positive relationship. These E-7 countries should follow an environmentally friendly path to achieve their desired level of GDP. These countries should check the quality of their institutions law and order situations, accountability and control of corruption to improve the condition of environment in the case of N?O.