Distribution Of Environmental Pollution Research Articles

Distribution of environmental pollutants in apartment corridors and differences in pollutant exposure risks among residents of different heights

Distribution of environmental pollutants in apartment corridors and differences in pollutant exposure risks among residents of different heights

Does the Development of Digital Economy Affect Environmental Pollution?

The development of digital economy (Dig) promotes the development of green economy and the progress of ecological civilization. Based on the panel data of China from 2010 to 2020, this paper constructs the relevant index system and analyzes the impact of the Dig on environmental pollution (EP) by using a variety of econometric models. Subsequently, combined with the transmission effect to discuss its influence mechanism, the spatial quantile regression was used to explore spatial effects. The Dig is conducive to reducing EP, and there is an inverted U-shaped relationship between the two. Meanwhile, its influence has obvious regional heterogeneity, and the inhibition effect of Dig on EP is better in technology-intensive areas. Dig can alleviate EP by promoting technological innovation and optimizing industrial structure, but resource allocation has not played a role. In addition, the Dig has a significant impact on the distribution of EP in the middle quantile, and there is a negative spatial spillover effect on EP. Consequently, the study puts forward some suggestions to alleviate pollution from the aspects of promoting technological innovation and improving resource allocation efficiency.

Changes in Temporal Pattern and Spatial Distribution of Environmental Pollutants in 8 Asian Countries Owing to Covid-19 Pandemic

Changes in Temporal Pattern and Spatial Distribution of Environmental Pollutants in 8 Asian Countries Owing to Covid-19 Pandemic

Spatial distribution of environmental pollutants in natural honeys collected from some regions of Saudi Arabia

Natural honeys produced in some regions located in Saudi Arabia (KSA) were characterized on the basis of their physicochemical properties and the contents of heavy metals and pesticide residues. Some of the investigated samples fit most of the national and international specifications with geographical and seasonal variations. The levels of Pb2+, Cd2+, and Cu2+ in most of the tested samples were below the guideline values of 0.1, 0.05, and 5 mg/kg, respectively; however, Zn2+ and Fe3+ levels in most of the tested samples exceeded the guideline values of 5 and 15 mg/kg, respectively. The high levels of Mn2+ and Ni2+ have been found in all the tested samples which can be attributed either to the production stages of honey or the region from where the honey has been taken. Also, the present results revealed that some pesticides such as chlorothalonil, carbaryl, dicofol, and monocrotophos residues were detected in some samples. It can be concluded that some metals and pesticide residues are not in safety baseline levels for human consumption and may pose a health risk to consumers.

BDE47 induces rat CYP3A1 by targeting the transcriptional regulation of miR-23b.

Cytochrome P450 3A (CYP3A) is the most abundant CYP450 enzyme in the liver and is involved in the metabolism of over 50% of xenobiotics. Our previous studies revealed that 2,2′,4,4′-tetrabromodiphenyl ether (BDE47) could induce rat CYP3A1 expression, but the molecular basis remains unclear. Using in silico analysis, we identified a potential miR-23b recognition element (MRE23b) in the 3′-UTR region of CYP3A1 mRNA, which was verified by the luciferase assay. The miR-23b mimic and inhibitor significantly down- and up-regulated the expression of CYP3A1, respectively. Additionally, BDE47 significantly down-regulated the expression of miR-23b in rats and in hepatic H4IIE cells. Induction or blockage of CYP3A1 by a miR-23b inhibitor or mimic could correspondingly alter BDE47-induced expression of CYP3A1 and cytotoxicity in H4IIE cells. Furthermore, LV-anti-miR-23b significantly decreased endogenous levels of miR-23b and increased the expression and activity of CYP3A1 in rat liver. LV-anti-miR-23b also significantly increased the hydroxylated metabolites of BDE47 (3-OH-BDE47, 4-OH-BDE42, and 4′-OH-BDE49) in rat serum. In conclusion, we first found that BDE47 induced rat CYP3A1 expression by targeting the transcriptional regulation of miR-23b. This study helps provide a better understanding of CYP3A regulation and offers novel clues for the role of miRNAs in the metabolism and distribution of environmental pollutants.

Development of quantitative structure-activity relationship models for vapor pressure estimation using computed molecular descriptors

Vapor pressure is an important property which is an indicator of chemical volatility, along with transport, partitioning, fate and distribution of environmental pollutants. Various models have been developed for the prediction of vapor pressure of chemicals using physicochemical and calculated structural properties. We have used different classes of graph theoretic indices, e.g., topostructural indices, topochemical indices, geometrical (3D) indices and, quantum chemical descriptors, for the development of predictive models for vapor based on a structurally diverse set of 469 chemicals. Initially, a set of 379 molecular descriptors was calculated using the software POLLY, Triplet, Sybyl, MOPAC, and Molconn-Z. Comparatively, three linear regression methodologies were used to develop hierarchical QSAR (HiQSAR) models, namely ridge regression (RR), principal components regression (PCR), and partial least squares (PLS) regression. The results indicate that, in general, RR outperforms PCR and PLS, and that the easily calculated topological descriptors are sufficient for the prediction of vapor pressure based on this large, diverse set of chemicals.

Monitoring air pollution in Kano municipality by chemical analysis of Scots Pine (Pinus sylvestris L.) needles for sulphur content

The distribution of environmental pollutant, sulphur, over Kano municipality was monitored on the basis of the chemical analysis of Scots Pine (Pinus sylvestris L.) needles collected from randomly selected sampling points over the period 1995–1996. Of the five zones in which the municipal area was subdivided, two could be regarded as least polluted, two as moderately polluted and one zone as heavily polluted. The mean value of all measurements in the metropolis amounted to 1940 μgg−1 S with a co-efficient of variation of 38 percent.

A systems framework for environmental-research planning

Environmental-research planning can be important in providing for industrial and urban growth while protecting public health and valuable natural resources. A systems framework for anticipating future changes and for gathering germane information is one basis for developing informed long-range plans. The planning approach described here emphasizes the evaluation of patterns of social and technical information exchange using examples of the natural and man-dominated Puerto Rico island system. The patterns of energy and materials flows in Puerto Rico have undergone distinctive changes during the pre-Columbian period, the agricultural period and the early industrialization and post World War II periods. By anticipating the range of potential future changes in energy and materials supplies, the kinds of future environmental problems may be anticipated. This may be useful for identifying possible sources and distribution of environmental pollution and point to research areas for assessing potential effects. In addition, a systems framework provides a basis for developing cost-effective pollution-control strategies that recognize the interdependence among urban industrial and natural resources and that may utilize diverse environmental capabilities for distributing and assimilating pollutant loads.

Distribution of environmental pollutants in pet animals. VI. Heavy metals in hair of house-dogs.

The concentrations of cadmium, copper, lead, manganese, and zinc were determined in the hair of 40 pet dogs of both sexes. Of the heavy metals, zinc showed the highest concentration in the hair regardless of sex or color. Zinc also increased gradually with age. Cadmium and lead increased in concentration up to 7 years of age and decreased thereafter. Correlations were made among the heavy metal concentrations in the hair. Comparisons also were made with available human data. It was suggested that analysis of heavy metals in the hair of house-dogs may be valuable as a means of biological monitoring of the human heavy metal body burden. (RJC)