Effects Of Pollution Research Articles

Perceived Effect of Shipborne Sewage Discharge on Water Quality of Apapa Sea Port

The Apapa Sea Port in Lagos, Nigeria, faces significant environmental concerns due to shipborne sewage discharge. Over 3 billion tons of sewage are discharged annually, posing health risks and causing disease outbreaks. Understanding this relationship is crucial for developing policies to protect marine environments and port operations. The study investigates the perceived effects of sewage wastewater pollution on the marine environment, focusing on Apapa Port, Nigeria’s largest and busiest port. The study used a sample of 475 individuals, with a stratified frame of 323 respondents, resulting in a sample size of 245 using Yaro Yamane’s formula. Descriptive statistical methods were used to summarize and interpret data, with a mean score of 2.5 as the threshold for classification. Inferential statistics, including ANOVA and regression analysis, were used to test the research hypotheses. The results shown that the perceived impact of sewage pollution on water quality, with findings showing a strong awareness and concern among port personnel regarding its deleterious effects, including eutrophication (mean rating: 3.825), harmful algal blooms (mean rating: 3.921), habitat degradation (mean rating: 3.868), and waterborne diseases (mean rating: 4.018). The Hypotheses testing confirmed that sewage discharge significantly impacts the study area (p-value = 0.048) and that the implementation of MARPOL Annex IV has a significant influence on pollution levels (p-value < 0.05). The study concludes with recommendations to improve treatment processes, enforcement mechanisms, infrastructure, and stakeholder collaboration to ensure compliance and protect the marine ecosystem at Lagos Port, among many others. Keywords: Apapa seaports, sewage, shipborne, pollution, waste management.

Digital finance policy and the challenge of air pollution in China

This study investigates the influence of digital finance tools on air quality in China from 1990 to 2020 using the cross-sectional augmented autoregressive distributed lag approach. The findings underscore the critical role of digital finance, especially internet banking, in reducing air pollution levels. The increased adoption of internet banking is linked to lower vehicular emissions and more efficient financial operations, aiding environmental preservation. Similarly, ATM banking is found to negatively correlate with air pollution, though to a lesser extent. In contrast, coal consumption, urban population growth, and inflation are positively associated with air pollution, highlighting the necessity for sustainable urban planning and energy transition policies. To combat air pollution, it is essential to utilize digital finance tools, broaden digitalization across various sectors, and employ AI and big data for precise interventions. Supporting green financial tools can help fund renewable energy projects, speeding up China’s shift to a low-carbon economy and mitigating the harmful effects of air pollution.

Sources, Distribution, and Health Implications of Heavy Metals in Street Dust across Industrial, Capital City, and Peri-Urban Areas of Bangladesh

Heavy metals in road dusts can directly pose significant health risks through ingestion, inhalation, and dermal contact. This study investigated the pollution, distribution, and health effect of heavy metals in street dust from industrial, capital city, and peri-urban areas of Bangladesh. Inductively coupled plasma mass spectrometry (ICP-MS) examined eight hazardous heavy metals such as Zn, Cu, Pb, Ni, Mn, Cr, Cd, and Co. Results revealed that industrial areas showed the highest metal concentrations, following the order Mn > Zn > Cr > Pb > Ni > Co > Cd, with an average level of 444.35, 299.25, 238.31, 54.22, 52.78, 45.66, and 2.73 mg/kg, respectively, for fine particles (≤20 μm). Conversely, multivariate statistical analyses were conducted to assess pollution levels and sources. Anthropogenic activities like traffic emissions, construction, and industrial processing were the main pollution sources. A pollution load index revealed that industrial areas had significantly higher pollution (PLI of 2.45), while the capital city and peri-urban areas experienced moderate pollution (PLI of 1.54 and 1.59). Hazard index values were below the safety level of 1, but health risk evaluations revealed increased non-carcinogenic risks for children, especially from Cr, Ni, Cd, and Pb where Cr poses the highest cancer risk via inhalation, with values reaching 1.13 × 10−4–5.96 × 10−4 falling within the threshold level (10−4 to 10−6). These results underline the need for continuous environmental monitoring and pollution control in order to lower health hazards.

Offshore wind farm operation contributed to a slight improvement in seawater quality along the Jiangsu Coast, China

The rapid growth of offshore wind farms (OWFs) is driven by concerns for energy security and climate change mitigation. However, their impact on marine environments remains poorly understood due to limited research. This study analyzes the effects of an OWF along China's Jiangsu Coast on seawater quality using data from different development phases. Results show the major pollutants were different across phases. Heavy metal pollution reached alert levels during construction compared to the safe levels observed in the pre-construction and operational phases, mainly due to increases in Pb, Cd, and Hg concentrations. Eutrophication was mild throughout all periods but exhibited a continuous decrease, primarily attributed to reductions in PH and COD concentrations. As a result, the comprehensive pollution level during construction was increased, but it was improved to a clean level during the operational phase. Besides, significant variations were observed in the spatial distribution patterns of major pollutant indices across different scenarios. These changes may stem from a combination effect of land-based pollution, aquaculture, OWF-induced disturbances to atmosphere and hydrodynamics, OWF-related drain and leakage contamination, and marine management policies. Understanding these effects informs OWF optimization, rational wind resource utilization, and marine ecology protection.

Effects of Meteorological Factors and Air Pollutants on Tuberculosis Incidence: A Distribution Lag Non-Linear Analysis

Effects of Meteorological Factors and Air Pollutants on Tuberculosis Incidence: A Distribution Lag Non-Linear Analysis

Variations of dissolved trace elements in precipitation and stream water in Japanese forest area: additional evidence of changing air pollution in the region

Trace elements released into the atmosphere by human activities, such as fossil fuel combustion, flow into forest ecosystems via wet and dry deposition and can flow out via mountainous stream water. The Kajikawa catchment site in Niigata Prefecture, located on the Sea of Japan side in central Japan, suffers from large amounts of acidic substance deposition due to its geographical conditions and meteorological seasonality and is affected by transboundary air pollution originating from the Asian continent due to northwesterly seasonal winds in winter. This study determined the concentrations of trace elements dissolved in precipitation and stream water to comprehensively evaluate the effects of transboundary air pollution on forest ecosystems. The results showed that the concentrations of trace elements and major inorganic ions in precipitation tended to be high in winter and low in summer. The fluxes of many trace elements also increased in winter, reflecting high precipitation amount. Except for Sr, the enrichment factors of the highly enriched trace elements did not show clear seasonality. Therefore, they were continuously influenced by anthropogenic activities. Furthermore, the stable Pb isotope ratio changed significantly during the observation period; however, this was not explained by seasonal changes. This study revealed that trace elements are transported to the Sea of Japan side in central Japan, especially in winter; however, their quantity and content change in response to changes in local and transboundary air pollution.Graphical

Study of the Relationship Between Antioxidant Enzymes in the Blood of Women Suffering From Miscarriage and The Effect of Heavy Metal Pollution on Them in Basra, Iraq

In this study, environmental heavy metal pollution is associated with recurrent miscarriage. It is closely linked to oxidative stress and homeostasis imbalance due to reproductive toxicity resulting from (HM), as lead (Pb) and mercury (Hg) are considered among the most important biological factors that are hostile to human health and can reduce the possibility of a healthy pregnancy. This study aimed to investigate the effect of antioxidant enzymes as well as some heavy metals such as lead and mercury on recurrent miscarriage. Comparing them to healthy women with no history of miscarriage. Samples were collected from women who had miscarried, 50 samples, compared to 40 samples from healthy women who had not suffered a miscarriage previously. In Basra Women's and Children's Hospital in Basra, Iraq. During the reproductive age of patients and healthy people (18-40) years. The patients were divided into two groups according to place of residence (city center and countryside). And compare them with healthy women. He also highlighted oxidative stress because it is more affected by heavy metals and the appearance of women who have frequent miscarriages who live in rural areas, where oil and gas refineries are close to them, unlike the city. Due to direct exposed to pollution.

Identification of urban street trees for green belt development for optimizing pollution mitigation in Delhi, India.

The current study evaluated the effects of air pollution on selected street trees in the National Capital Territory during the pre- and post-monsoon seasons to identify the optimally suitable tree for green belt development in Delhi. The identification was performed by measuring the air pollution tolerance index (APTI), anticipated performance index (API), dust-capturing capacity (DCC) and proline content on the trees. The APTI of street trees of Delhi varied significantly among different tree species (F11,88.91 = 47.18, p < 0.05), experimental sites (F3,12.52 = 6.65, p < 0.001) and between seasons (F1,31.12 = 16.51, p < 0.001), emphasizing the relationships between trees and other types of variables such as the climate and level of pollution, among other factors. This variability emphasizes the need to choose trees to use for urban greening in the improvement of air quality in different environments within cities. Ascorbic acid (AA) concentration and relative water content (RWC) had a strong influence on APTI with an extremely significant moderate positive correlation between AA concentration and APTI (r = 0.65, p < 0.001) along with RWC and APTI (r = 0.52, p < 0.001), indicating that higher levels of AA concentration and RWC are linked to increased air pollution tolerance. The PCA bi-plot indicates AA has poor positive loading coefficients with PC1 explaining 29.49% of the total variance in the dataset. The highest APTI was recorded in Azadirachta indica (22.01), Leucaena leucocephala (20.65), Morus alba (20.62), Ficus religiosa (20.61) and Ficus benghalensis (19.61), irrespective of sites and seasons. Similarly, based on API grading, F. religiosa and F. benghalensis were identified as excellent API grade 6 (81-90%), A. indica and Alstonia scholaris as very good API grade 5 (71-80%), M. alba, Pongamia pinnata and Monoon longifolium as good API grade 4 (61-70%) and Plumeria alba as moderate API grade 3 (51-60%) in different streets of Delhi. As these plants are indigenous to the region and hold significant socio-economic and aesthetic significance in Indian societies, they are advisable for avenue plantations as part of various government initiatives to support environmental sustainability.

Air Pollution and Corporate Innovation: Does Top Management Quality Mediate and Government Talent Policy Moderate?

Air pollution not only poses significant threats to the physical and mental well-being of individuals, but it also has the potential to trigger a regional brain drain, thus inhibiting corporate innovation performance. This study explores the impact of air pollution on corporate innovation from the perspective of top management quality. We find that lower air quality significantly reduces the quality of corporate top management, thereby reducing their innovation output. However, local government talent attention alleviates the negative impact of air pollution on corporate innovation. Further analysis reveals that the local government’s environmental attention aggravates the negative effects of air pollution on corporate innovation. Finally, executive compensation alleviates the negative impact of air pollution on corporate innovation.

Predicting and analysing air quality in smart cities using virtual sensors

Virtual sensors have become essential in generating synthetic data to support smart city initiatives, mainly when physical sensors are absent or inaccessible. They play a crucial role in monitoring air pollutants, benefiting those with health sensitivities, and aiding city planning in the context of smart cities. This research focuses on creating reliable victual sensors for air pollutant measurement through deep learning and machine learning models, providing a cost-effective solution to address the scarcity of physical sensors and data inaccuracies. The main contribution lies in improving smart cities by providing essential health-related data to mitigate the harmful effects of air pollution on residents. Continuous monitoring empowers officials and residents to reduce pollution exposure, ultimately improving public health. The study found that gradient-boosted trees are effective for daily and hourly predictions, emphasizing the vital role of virtual sensors in advancing data-driven decision-making and improving environmental quality in smart cities. The results showed that our model was better using the boosted trees method with an RMSE of approximately 10%.

Air pollution: a latent key driving force of dementia

Many researchers have studied the role of air pollutants on cognitive function, changes in brain structure, and occurrence of dementia. Due to the wide range of studies and often contradictory results, the present systematic review was conducted to try and clarify the relationship between air pollutants and dementia. To identify studies for this review, a systematic search was conducted in Scopus, PubMed, and Web of Science databases (without historical restrictions) until May 22, 2023. The PECO statement was created to clarify the research question, and articles that did not meet the criteria of this statement were excluded. In this review, animal studies, laboratory studies, books, review articles, conference papers and letters to the editors were avoided. Also, studies focused on the effect of air pollutants on cellular and biochemical changes (without investigating dementia) were also excluded. A quality assessment was done according to the type of design of each article, using the checklist developed by the Joanna Briggs Institute (JBI). Finally, selected studies were reviewed and discussed in terms of Alzheimer's dementia and non-Alzheimer's dementia. We identified 14,924 articles through a systematic search in databases, and after comprehensive reviews, 53 articles were found to be eligible for inclusion in the current systematic review. The results showed that chronic exposure to higher levels of air pollutants was associated with adverse effects on cognitive abilities and the presence of dementia. Studies strongly supported the negative effects of PM2.5 and then NO2 on the brain and the development of neurodegenerative disorders in old age. Because the onset of brain structural changes due to dementia begins decades before the onset of disease symptoms, and that exposure to air pollution is considered a modifiable risk factor, taking preventive measures to reduce air pollution and introducing behavioral interventions to reduce people's exposure to pollutants is advisable.

Uncovering the drivers of CO2 emissions in the United States: The hidden spillover effects

This study explores the applicability of the Environmental Kuznets Curve (EKC) hypothesis in the United States (US) from 2006 to 2020, employing the Spatial Durbin Model (SDM) to analyze the cross-border effects of pollution among states. The results indicate that although economic growth initially decreases environmental degradation, it subsequently contributes to more significant environmental degradation, challenging the EKC hypothesis's validity at the US state level. Factors such as higher energy prices and reliance on fossil fuels are also identified as significant drivers of environmental deterioration, with varying impacts observed across states. Conversely, adopting renewable energy sources is crucial in mitigating pollution levels. The study underscores the importance of coordinated state-level efforts to harmonize economic growth with sustainable environmental practices. It highlights the complexities of policymaking in balancing economic development with environmental conservation and emphasizes the need for targeted interventions to address environmental challenges effectively. This research enhances our understanding of sustainable development pathways amidst diverse regional dynamics within the US by providing empirical evidence and policy insights.

Elevated temperature exacerbates pharmaceutical-induced oxidative stress in zebrafish (Danio rerio) larvae

There is growing evidence that rising global temperatures resulting from climate change may exacerbate the toxic effect of pollutants and heterotherms, including fish, in which homestatic mechanisms are directly influenced by environmental temperature will be most affected. Pharmaceuticals discharged into the environment are potentially harmful to wildlife as many of their drug targets are conserved across divergent phyla. Oxidative stress (OS) is a major mechanism by which many pharmaceutical contaminants can induce toxicity but this has received little consideration in the context of effects in wildlife. Further, these mechanisms are relatively poorly understood, particularly regarding multiple stressor interactions. We used transgenic TG(EpRE:mCherry) zebrafish, developed in our laboratory for detecting OS, as our experimental model. We show that the oxidative effects of high concentrations of pharmaceuticals from three different therapeutic classes (paracetamol, diclofenac and doxorubicin) are increased at temperatures elevated by 2–5 °C above those for zebrafish standard husbandry and relevant to their current natural environment (and predicted under the IPCC 2023 scenarios for intermediate to very high greenhouse gas emissions). These OS responses were primarily seen in the pronephros, liver, and gastrointestinal tract. The increase in OS at the increased water temperature may have resulted from the elevated temperature acting as a direct additive physiological stressor to the OS imposed by the drugs and/or via the temperature increasing the chemicals oxidative effect. For paracetamol, it appeared that the elevated responses at the higher temperature of 33 °C were in part due to an increase in uptake of the drug. Our data illustrate that risk assessments for chemicals inducing OS in fish (and likely other heterotherms) should consider the influence of temperature to ensure environmental protection in future environments.

The effect of larval exposure to acids and detergents on the life history of the major malaria vector Anopheles arabiensis Patton (Diptera: Culicidae).

Anopheles arabiensis, a highly adaptable member of the Anopheles gambiae complex, poses a challenge for control efforts due to its outdoor biting and resting behaviour. Consequently, indoor insecticide-based control methodsare ineffective against An. arabiensis. Furthermore, An. arabiensis are adapting to breeding in polluted waters, and may be contributing to residual malaria and malaria in urban areas. There have been some advances in understanding the effect of rural pollutants on Anopheles mosquitoes, but the effect of urban pollutants is poorly understood. Thus, in this study, the effect of acidic pollutants [nitric acid (HNO3) and hydrochloric acid (HCl)] and alkaline pollutants (phosphate-free and phosphate-containing detergent) on two laboratory-reared An. arabiensis strains - an insecticide susceptible strain (SENN) and an insecticide-resistant strain selected from SENN (SENN-DDT) - were determined. The median lethal concentration (LC50) and larval exposure on larval development, adult longevity and insecticide tolerance were evaluated. Nitric acid and phosphate-containing detergent were found to be more toxic than HCl and phosphate-free detergent in terms of LC50 values. Detergent exposure (both phosphate-containing and phosphate-free) increased adult longevity of both strains. Nitric acid reduced larval development time in both SENN and SENN-DDT, whereas HCl reduced larval development time in SENN only. By contrast, both phosphate-containing and phosphate-free detergents increased larval development time of both strains. Furthermore, HNO3 and phosphate-containing detergent increased insecticide tolerance the most. The two An. arabiensis strains responded to urban pollutants differently. Thus, this study provides insight into the adaptation of An. arabiensis to acidic and alkaline urban pollutants. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Effect of Air Pollutants Particulate Matter PM2.5, PM10, Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), and Ozone (O3) on Fractional Exhaled Nitric Oxide (FeNO).

This study aimed to investigate the effect of Environmental Pollutants Particulate Matter PM2.5, PM10, Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), and Ozone (O3) on lung airway inflammation by assessing the Fractional Exhaled Nitric Oxide (FeNO) in students studying in schools located in or away from air-polluted areas. This matched case-control cross-sectional study was conducted in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia from August 2022 to July 2023. In this study, two schools were selected, one was located near a traffic-polluted area (School #1), and the second was located away from the traffic-polluted area (School #2). A total of 300 students were recruited, 150 (75 male and 75 female) students from the school located in a traffic-polluted area, and 150 students (75 male and 75 female) from the school located away from a traffic-polluted area. Environmental pollutants PM2.5, PM10, CO, NO2, O3, and SO2, were recorded. The Fractional Exhaled Nitric Oxide (FeNO) was measured using a Niox Mino. The mean concentration of PM2.5, PM10, CO, NO2, O3, and SO2 were 35.00±0.65 significantly higher in a school located in motor vehicle polluted area compared to a school located away from a motor vehicle-polluted area (29.95±0.32) (p=0.001). The mean values for FeNO were significantly higher (18.75±0.90) among students studying in a school located in the motor vehicle-polluted area compared to students studying in a school located away from the motor vehicle-polluted area (11.26±0.56) (p=0.001). Environmental pollution can cause lung inflammation among students in schools located in traffic-polluted areas.

OS03-07 Epigenetic transgenerational effects of environmental pollution: assessing the impact of the herbicide linuron on Xenopus tropicalis Frogs

OS03-07 Epigenetic transgenerational effects of environmental pollution: assessing the impact of the herbicide linuron on Xenopus tropicalis Frogs

Assessment of The toxic Effect of Environmental Pollution by 2 ,3 ,7 ,8 - Tetrachlorodibenzo-p-dioxin (TCDD) on The Female Reproductive System by Pathological and Biochemical Assay in Albino Female Rats

Assessment of The toxic Effect of Environmental Pollution by 2 ,3 ,7 ,8 - Tetrachlorodibenzo-p-dioxin (TCDD) on The Female Reproductive System by Pathological and Biochemical Assay in Albino Female Rats

Managing cyanobacterial blooms in recreational waters: decision support tools for public health responses

Freshwater blooms of cyanobacteria present a challenge to those tasked with managing beaches during bathing season, both to ensure the protection of public health, and to avoid lengthy beach closures. The combined effects of climate change and environmental pollution could cause blooms to become more frequent, intense, and persistent in the future in some locations, necessitating regularly review and update of response protocols. Decision support tools are used to help manage bloom events and inform responses. These can advise on the triggers for inspection, testing, posting of advisories, closing of beaches, and when to rescind advisories and reopen beaches. The aim of this paper was to present an overview of approaches and decision support tools used to inform public health responses to cyanobacterial blooms. During bathing season in Canada, most bloom monitoring is reactive, with a limited coverage of proactive monitoring, except at priority beaches. Responses to blooms vary widely, but many are informed by decision protocols or flow charts using visual inspection and single-level indicators, or alert level frameworks using multiple indicators and alert levels. The only health-based indicators used in any system are cyanotoxins, but capacity for frequent testing is often limited. Approaches to rescinding advisories also vary in the types of indicators and length of time used to determine when it is safe to resume recreational activities. This can vary from days to weeks, with some jurisdictions taking more precautionary approaches. Responsible authorities must balance public health protection with available resources for testing and monitoring with public acceptance of extended beach closures. With the prospect of more frequent and pervasive blooms in the future, there will be a need to allocate scare resources efficiently, which may require regular review and update of response protocols. Adapting approaches may require using a range of more accessible indicators alongside local knowledge, site history, and new tools to inform site-specific responses.

Tradeoff between air pollution and economic benefits in migration dynamics: Evidence from China

This paper investigates how environmental amenity and economic benefits are balanced in migration dynamics from the individual perspective. We construct a structural model based on the dataset that combines PM2.5 concentration data from NASA and migration information from the China Migration Dynamic Survey (CMDS). Thermal inversion is used as a source of exogenous shock in air pollution to address the omitted variable bias. The results indicate that if the ambient concentration of PM2.5 at destinations increases 1 μg/m3, the probability of migration at the individual level will decrease by 0.90 %. A battery of robustness checks is implemented, including different approaches to measuring migration decision, using imputed wage instead of disposable income, using different IV and proxy variable. Heterogeneity analysis reveals that the deterrence effect of air pollution is more pronounced for the following groups: migrants who are male, move from a rural residence, or to a coastal destination, belong to working-age population, engage in a tertiary industry, have a postgraduate-level education, and support two or more elders.

ENVIRONMENTAL AND HEALTH EFFECTS OF AIR POLLUTION AND THE SOLUTIONS (A CASE STUDY OF AWKA NORTH LOCAL GOVERNMENT AREA OF ANAMBRA STATE, NIGERIA).

Air pollution has long been a major global concern in developing countries, posing serious health and environmental challenges. The awareness of the effects of air pollution on human health and the environment and various ways to mitigate the impact of air pollution was investigated in Awka, Anambra State. The population size was 1000. In carrying out this research, three hypotheses were postulated and tested at a 5% level of agreement. A well-structured questionnaire was used to collect data from the subjects, and simple percentages, and weighted mean statistics were used to analyze the data. In contrast, the Chi-square was used in testing the hypotheses. Results reveal that over 50 % of the residents of Awka are fully aware of the air pollution problem in the town and are knowledgeable about the dangers of air pollution. Air pollution is prevalent in Awka town, which is largely caused by heavy traffic resulting in increased vehicular emissions of poisonous gases. The findings show that air pollution significantly negatively impacts human health and the environment. The study recommends awareness creation, enactment of suitable legislation, and activities that promote air pollution, such as open incineration of wastes and bush burning, especially for agricultural purposes, should be discouraged. We underscore the necessity of facilitating more research on the associations between exposure and health in marginalized communities that are disproportionately affected by air pollution yet inadequately represented in existing investigations.