Spread Of Pollutants Research Articles

Permanganate oxidation of polycyclic aromatic compounds (PAHs and polar PACs): column experiments with DNAPL at residual saturation.

Permanganate is an oxidant usually applied for in situ soil remediation due to its persistence underground. It has already shown great efficiency for dense nonaqueous phase liquid (DNAPL) degradation under batch experiment conditions. In the present study, experimental permanganate oxidation of a DNAPL - coal tar - sampled in the groundwater of a former coking plant was carried out in a glass bead column. Several glass bead columns were spiked with coal tar using the drainage-imbibition method to mimic on-site pollution spread at residual saturation as best as possible. The leaching of organic pollutants was monitored as the columns were flushed by successive sequences: successive injections of hot water, permanganate solution for oxidation, and ambient temperature water, completed by two injections of a tracer before and after oxidation. Sixteen conventional US-EPA PAHs and selected polar PACs were analyzed in the DNAPL remaining in the columns at the end of the experiment and in the particles collected at several steps of the flushing sequences. Permanganate oxidation of the pollutants was rapidly limited by interfacial aging of the DNAPL drops. Moreover, at the applied flow rate chosen to be representative of in situ injections and groundwater velocities, the reaction time was not sufficient to reach high degradation yields but induced the formation and the leaching of oxygenated PACs.

Study on the transmission route of virus aerosol particles and control technology of air conditioning in the enclosed space.

The patient’s breathing and air conditioning system in the enclosed space are the main factors that cause indoor cross-infection. However, the research on the influence and the control mechanism of different air conditioning systems on the transmission path of virus aerosol particles exhaled by patients is still limited. To evaluate the effects of different air conditioning systems on the spread of human exhaled pollutants, computational fluid dynamics (CFD) was used to study the movement and diffusion of exhaled air from two rows of 12 sitting adults in a hospital's closed transfusion room. In this paper, three different air conditioning systems are considered: Ceil-supply and Down-return (Ceil-to-Down), Up-supply and Down-return (Up-to-Down), Down-supply and Up-return (Down-to-Up). The distribution of exhaled air velocity, temperature, and virus particle concentration were studied, and it is found that the horizontal diffusion distance of exhaled pollutants is about 0.75 –1.1 m. When up to down systems are used, the air conditioning system shall be closed in time in case of respiratory infectious diseases, so as to avoid cross-infection in the enclosed space. A relatively clean air area with a height of about 1.1 m will be formed, which can inhibit the transmission of the virus to a certain extent when using the down-to-up system. But for those who are exposed to the enclosed space for a long time, the down-to-up system is not the most suitable air conditioning system.

Measures to reduce enviromental risk on transport in the regions

One of the producers of pollution in the natural environment and on natural and anthropogenic objects is transport, which emits harmful vapors when driving on highways. The spread of pollution occurs during the movement of transport along the air and water flow. The article investigates the level of environmental pollution from vehicles in the regions of Russia, reveals the total percentage of emissions from passenger vehicles. The analysis of emissions has been carried out based on data from the Federal Service for Supervision of Natural Resources Management (Rosprirodnadzor) using empirical and mathematical, statistical methods. A brief description of the method of calculation of evaporation from transport has been given. In the course of studies, various groups the total values of emissions for various transport groups in the regions have been identified, environmental zones have been determined. The dynamics of changes on transport over the past three years has been traced. The regions most affected by harmful emissions have been considered, measures to reduce environmental risk have been proposed. The necessity of a national project on ecology and air purification has been substantiated. Environmental problems in transport pose a great threat to the environment, it is impossible to reduce emissions immediately, but if you gradually apply measures to minimize pollution, you can improve the environmental situation in the regions.

THE EIS OPTIONS AT MONITORING THE SPREAD OF POLLUTION IN THE STREAM

Water pollution is one of the most significant problems in the world today and is a global problem. Surface water pollution in streams and reservoirs is reflected in the deterioration of the quality of aquatic ecosystems, including those that occur in their vicinity or follow them. Lack of quality drinking water is one of the main causes of various diseases, which can lead to death, especially in developing countries. Therefore, it is important to detect water pollution in time and anticipate how it could develop and be transported in the stream. Measurements on a physical model are time-consuming and economically demanding, but for a given locality it can provide comprehensive information, including the proposal of possible measures and their verification. It is also a suitable approach for calibration and verification of mathematical models. One of the main tasks in the physical modelling of the spread of pollution in the stream was to find a suitable substance that would simulate the pollution without being aggressive towards the water pumping circuit. The method of electrical impedance spectrometry was chosen for its detection in the stream.

Geoecological zoning of the territory to assess the impact of municipal solid waste landfills on adjacent agricultural land

The paper shows that as a result of scientific study, original geoecological zoning of agricultural areas was developed to take into account and evaluate the impact of pollutants contained in the soil cover on the geoecological potential of the analyzed area. Zoning uses original criteria not previously used for these purposes, which also determines the novelty of the proposed study. The results of this zoning during the implementation of proposed works on the assessment of the territory will have critical and promising significance. This is determined by the fact that the proposed zoning will allow not only obtaining new, previously not used geoecological characteristics of the analyzed territory, but also assessing the geoecological stability of territorial complexes from the point of view of both a natural and an economic object in conditions of active impact of negative anthropogenic activity. The use of the proposed zoning is illustrated by the effect of municipal solid waste (MSW) landfill on adjacent agricultural land. As shown in the above example, such zoning, along with the above, will allow determining the possibility of promising (planned) environmental and economic use of each of the allocated territorial zones taking into account the content of heavy metal salts in the soil with the development of methods and techniques for rehabilitation and restoration of the territories of these zones. The obtained zoning results may also be used for spatial correction, including the selection of locations for MSW landfills, incinerators, points of observation (monitoring) of the spread of pollutants, as well as the basis for initiating lawsuits related to the violation of the ecological state of territorial facilities and the geoecological state of the territory as a whole. The most important result of using the method of zoning agricultural areas described in the paper is the possibility of using the geospatial properties of the land to solve the economic and environmental problems of the country - the strategic task of its sustainable development.

Modelling of the Chemical Halo of Dust Pollution Migration in Loparite Ore Tailings Storage Facilities

The article presents a study of the environmental impact of dusting tailing dumps of rare-metal ore dressing in the Murmansk region of Russia. The purpose of the study was to establish patterns in the atmochemical halo migration of the dust pollution of loparite ore dressing tailings. The geotechnical characteristics and material composition of the tailings material have been investigated. Potentially dusty areas identified. Models of dispersion of inorganic dust under different meteorological scenarios are constructed: at low wind load, normal and unfavorable meteorological conditions. The modeling of the spread of pollutants in the area exposed to dust at the storage site was carried out in the program for modeling atmospheric pollution Ecolog-4.60. Calculation of the dispersion of inorganic dust containing 20–70% SiO2 showed that the atmochemical halo of tailings dust pollution spreads over tens of kilometers, and already at a wind speed of about 8 m/s, the concentration of suspended solids at the border of the enterprise sanitary protection zone exceeds the maximum one-time maximum permissible concentration is 3–3.3 times, and under unfavorable meteorological conditions—Dusting reaches the boundaries of the residential area (inhabited locality Revda), located in the north-west of the enterprise, and exceeds the MPCm.o. 1.5 times.

Prompt location of indoor instantaneous air contaminant source through multi-zone model-based probability method by utilizing airflow data from coarse-grid CFD model

In order to ensure indoor air quality safety, locating the airborne contaminant sources accurately and quickly is extremely important so that timely measures can be taken to undermine the spread of pollutant and even eliminate the negative effects. Previous studies have shown that the multi-zone model can greatly reduce the inverse calculation time. However, the multi-zone model cannot describe the details of the indoor velocity field, which limits its application in complex multi-zone or large space buildings. On the premise of the accuracy and computational speed, based on the joint probability method, this study adopted the coarse-grid CFD method to speed up the process of acquiring the indoor airflow field, together with the multi-zone model method, to perform the inverse calculation of indoor airborne contaminant source location. In the backward calculation process, we conducted the ‘transpose' of the velocity field to obtain adjoint matrix, instead of computing ‘negative' of the velocity vector to save the calculation time. A two-dimensional ventilation model was utilized to validate the method, which proved the accuracy and time-saving potential of it. This study provides theoretical and practical prospect for the real-time inverse calculation of locating the indoor airborne contaminant sources.

A Study on Water-Induced Damage Severity on Diesel Engine Injection System Using Emulsified Diesel Fuels

Diesel engine emissions contribute nearly 30% of greenhouse effects and diverse health and environmental problems. Amidst these problems, it is estimated that there will be a 75% increase in energy demand for transportation by 2040, of which diesel fuel constitutes a major source of energy for transportation. Being a major source of air pollution, efforts are currently being made to curb the pollution spread. The use of water-in-diesel (W/D)-emulsified fuels comes as a readily available (and cost-effective) option with other benefits including engine thermal efficiency, reduced costs, and NOx reduction; nonetheless, the inherent effects—power loss, component wear, corrosion, etc. still pose strong concerns. This study investigates the behavior and damage severity of a common rail (CR) diesel fuel injection system using exploratory and statistical methods under different W/D emulsion conditions and engine speeds. Results reveal that the effect of W/D emulsion fuels on engine operating conditions are reflected in the CR, which provides a reliable avenue for condition monitoring. Also, the effect of W/D emulsion on injection system components-piston, nozzle needle, and ball seat–are presented alongside related discussions.

An analytical study of the different methods of handling informal areas on state property “Case study of the informal unsafe areas near the railway on Sudan street, Giza”

The problem of informal areas in Egypt, despite the difference in these informal areas in terms of location, area, population and the quality of services, they share their suffering from rising population density, insufficiency of basic facilities and services, the spread of environmental pollution and low standard of living. The importance of this research lies in a new problem that hinders planning and executive authorities in the development of informal areas, which is land ownership. This comes in different entities such as private property whither for residents or companies, and central authorities such as the Ministry of Endowments, Railway Authority, State Property, or the Antiquities Authority. the research exposes all of this to reach results and solutions that help the planning and executive authorities in providing services to these areas, and in the implementation of vital projects and development projects.

Methodological notes onpandemic virus SARS-CoV-2 research.

In the fight against the COVID-19 pandemic, many brilliant results have been achieved, but the thermodynamics of the novel SARS-CoV-2 coronavirus has been completely neglected. This is a serious systematic error, which can compromise the results of the entire pandemic virus SARS-CoV-2 research. In the present work, we therefore study the thermodynamics of SARS-CoV-2 in its environment, from air to endosome and endosome-independent cell entry pathways. In the study of the thermodynamics of the new coronavirus SARS-CoV-2 in air, the presence of pollen, bacteria, other viruses, spores, dust, but more particularly, that of nanoparticles of health interest at the same scale threshold as the spike proteins of the pandemic virus, such as particulate matter, cannot be neglected. This work therefore starts from a comparative study of the air environments in China and Italy, the first countries affected by the infection. Currently, a correlation between the spread of infection and pollution is still very controversial. But our paper is not concerned with this. We propose some methodological notes which lead us to the formulation of a general mathematical apparatus (an energy landscape theory), suitable to explain at the molecular level the energetic configurations of the quasi-species of the pandemic virus SARS-CoV-2 in its environment. We focus on complexes between the viral particle and other objects in its environment at the scale threshold of the spikes of the viral particle. Then, we wondered if such complexes can lead to the generation of more aggressive viral variants and how to predict their populations and energy configurations, in order to plan an adequate prophylaxis.

Visual Analysis System for Fine-Grained Inline Relationship of Air Quality Data

<p indent=0mm>With the rapid development of data observation and digital computing technology, the granularity of air quality data tends to be fine, which provides a data basis for visualizing data of air quality and understanding the transformation law of air pollutants. This paper proposes a visual analysis system for inline features of fine-grained air quality data. We design a spatial-temporal data dimensional model to enhance the spatial-temporal expression of the data. We propose a deep learning based scheme that embeds high-dimensional air quality data into a low-dimensional feature space, which supports interactive visual analysis. We implement a multi-view linkage visualization system which assists discover the fine-grained inline relationship in the spread of air pollution and understand the data distribution characteristics of pollution transmission routes. User cases and user evaluation results show that our system is effective.

A NEW WAY OF USING THE SPIDER DIAGRAM METHOD IN HEAVY METAL POLLUTION STUDIES FOR NEAR-SURFACE GEOPHYSICS AND THE OTHER EARTH SCIENCES

In this study, a new way of using the Spider Diagram (SD) method has been shown in the investigation of the pollution spread and pollutant species caused by heavy metal-containing leachate in soil ground. Thus, it has been shown that this method can be used in conjunction with the results of earth science studies and its contribution to interpretation was emphasized. Because today, heavy metals in leachate water are an important environmental problem. It was determined that SD and geophysical methods could be used together in studies investigating this pollution. The heavy metal-containing leachate may contaminate the agricultural/non-agricultural soils/grounds or underground/surface waters by spreading in the permeable geological unit. This pollution spread and pollutant species can be analyzed by geochemistry (soil samples) studies. In addition, the horizontal-vertical boundaries of this pollution and the direction of pollution can be determined by geophysical methods. The results of soil analysis can also be interpreted using the SD method. However, it has been determined that this method can be used to interpret with geophysical results. This comparison has been found to contribute to the geophysical results in interpretation and it has been observed that it strengthens the geological interpretations. As a result, it is shown that SD method is a method that allows evaluating a large number of data in a short time and it can be used together with earth science methods. If these methods are used together in heavy metal pollution investigations, it has been shown whether the pollution in the soil is caused by the leachate or the bedrock unit, and in addition, whether the underground and surface water resources in the region are under the threat of pollution caused by leachate. It was thought that such a study would also be useful in Environmental Impact Assessment (EIA) studies.

STATISTICAL ANALYSIS AND EVALUATION OF PM CONCENTRATIONS DURING THE DUST STORMS AT MAY 2020 FOR SELÇUKLU DISTRICT OF KONYA CITY, TURKEY

Dust storms are widespread events that occur several times a year and spread over many countries of the world relating the wind direction and speed. Especially particulate matter (PM) is the main pollutant spread over by these storms. Because of the dust storms, PM concentrations increase rapidly in the areas found on the way of dust storm passes In this study, statistical evaluation was made accordingly the PM data measured with personal measurement device in Selçuklu District of Konya and the meteorological and the air pollution data provided from air quality monitoring station, which is affiliated by the Ministry of Environment and Urbanization, located nearby. Pearson correlation test has been applied to both data sets and a significant relationship has been detected between the measured and provided data. Moreover, multiple linear regression was applied to the data for PM2.5 and PM10 separately. Adjusted R2 of the analysis has been found as 0.573 and 0.559 respectively for PM2.5 and PM10 which explains almost half of the relationship between PM and meteorological variables. The highest positive effect on PM pollution was determined as air temperature. Finally, principal component analysis (PCA) was applied to both data and 4 different principal components were detected. Measured PM2.5 and PM10, air temperature, and relative humidity were clustered at the same component group.

Feature Merged Network for Oil Spill Detection Using SAR Images

The frequency of marine oil spills has increased in recent years. The growing exploitation of marine oil and continuous increase in marine crude oil transportation has caused tremendous damage to the marine ecological environment. Using synthetic aperture radar (SAR) images to monitor marine oil spills can help control the spread of oil spill pollution over time and reduce the economic losses and environmental pollution caused by such spills. However, it is a significant challenge to distinguish between oil-spilled areas and oil-spill-like in SAR images. Semantic segmentation models based on deep learning have been used in this field to address this issue. In addition, this study is dedicated to improving the accuracy of the U-Shape Network (UNet) model in identifying oil spill areas and oil-spill-like areas and alleviating the overfitting problem of the model; a feature merge network (FMNet) is proposed for image segmentation. The global features of SAR image, which are high-frequency component in the frequency domain and represents the boundary between categories, are obtained by a threshold segmentation method. This can weaken the impact of spot noise in SAR image. Then high-dimensional features are extracted from the threshold segmentation results using convolution operation. These features are superimposed with to the down sampling and combined with the high-dimensional features of original image. The proposed model obtains more features, which allows the model to make more accurate decisions. The overall accuracy of the proposed method increased by 1.82% and reached 61.90% compared with the UNet. The recognition accuracy of oil spill areas and oil-spill-like areas increased by approximately 3% and reached 56.33%. The method proposed in this paper not only improves the recognition accuracy of the original model, but also alleviates the overfitting problem of the original model and provides a more effective monitoring method for marine oil spill monitoring. More importantly, the proposed method provides a design principle that opens up new development ideas for the optimization of other deep learning network models.

Spectral-Element Simulation of the Turbulent Flow in an Urban Environment

The mean flow and turbulence statistics of the flow through a simplified urban environment, which is an active research area in order to improve the knowledge of turbulent flow in cities, is investigated. This is useful for civil engineering, pedestrian comfort and for health concerns caused by pollutant spreading. In this work, we provide analysis of the turbulence statistics obtained from well-resolved large-eddy simulations (LES). A detailed analysis of this database reveals the impact of the geometry of the urban array on the flow characteristics and provides for a good description of the turbulent features of the flow within a simplified urban environment. The most prominent features of this complex flow include coherent vortical structures such as the so-called arch vortex, the horseshoe vortex and the roof vortex. These structures of flow have been identified by an analysis of the turbulence statistics. The influence of the geometry of urban environment (and particularly the street width and the building height) on the overall flow behavior has also been studied. Finally, the well-resolved LES results were compared with an available experimental database to discuss differences and similarities between the respective urban configurations.

Spatio-temporal Variation Characteristics Monitored by Remotely Sensed Technique of PM2.5 Concentration and Its Influencing Factor Analysis in Sichuan Basin, China

The spread of atmospheric pollutants in the Sichuan Basin is difficult because of its unique topography, static wind, high humidity, and other meteorological conditions. Owing to the acceleration of urbanization and industrialization, PM2.5 pollution in the region is becoming increasingly severe, and the Sichuan Basin has become one of the key areas of national air pollution prevention and control. In this study, based on the remote sensing inversion product of PM2.5 concentration, spatial autocorrelation and gray correlation analyses are used to evaluate the spatial and temporal distribution characteristics and influencing factors of PM2.5 concentration in the Sichuan Basin. The results show that PM2.5 concentration has significant spatial aggregation; the high-high aggregation types are concentrated, low-low aggregation types are more dispersed, and coniferous forest has a significantly higher inhibitory effect on the absorption of PM2.5 than the shrub, grassland, and other vegetation types. The main meteorological factors affecting PM2.5 concentration in the Sichuan Basin are wind speed and temperature; population density and economic scale are the main human-activity factors affecting PM2.5 concentration in the Sichuan Basin, and the change in the industrial structure and scale also has a certain influence on the PM2.5 concentration.

Impact of meteorological conditions at multiple scales on ozone concentration in the Yangtze River Delta.

Tropospheric ozone is known to have adverse effects on human health. Ozone pollution events are often associated with specific atmospheric circulation conditions. Therefore, studying the relationship between atmospheric circulation and ozone is particularly important for early warning and forecasting of ozone pollution events. Focusing on the Yangtze River Delta region, particularly in four important large industrial cities (Xuzhou, Nanjing, Shanghai, and Hangzhou) in the Yangtze River Delta, the T-mode objective classification method was applied to classify the weather circulation that mainly affects the Yangtze River Delta region into nine types. Local wind fields for the four industrial cities were classified according to their propensity for ventilation, stagnation, and recirculation based on the Allwine and Whiteman method. Based on the analysis of large-scale atmospheric circulation, we concluded that certain circulation patterns correspond to excessive ozone concentrations, while other circulation patterns correspond to good air quality. Moreover, ozone pollution was not closely related to local regional transmission. The importance of high temperatures in potentiating ozone pollution was also identified in the study area, whereas the effect of relative humidity was negligible. Finally, the importance of the different scale atmospheric motions was analyzed by studying two specific ozone pollution events in Xuzhou area (March, 2019) and Nanjing area (July-August, 2017). This analysis was complemented by HYSPLIT model's outputs to simulate the pollutant diffusion path. Regarding the first episode, ozone concentration is often closely related to the slowly approaching thermal high-pressure system. In the second episode, local transmission had little effect on the generation and spread of ozone pollution. Furthermore, and comparing the circulation conditions with local meteorological factors, it was found that the increase in ozone concentration was often accompanied by higher temperature, and the response to humidity was not clear.

Assessment of the spread of pollution in the riverbed of the Neva River as a result of an emergency at a toxic waste landfill

The catchment area of the Neva River, which includes the largest European lakes Ladoga, Onega, Ilmen and Saimaa, located in Finland, has an area of 183,300 km2. The quality of water in the Neva River is determined by the characteristics of the water masses of Lake Ladoga, as well as by point and non-point sources of pollution on the tributaries of the Neva. One of the potential sources of pollution is the Krasny Bor landfill for storing highly toxic waste of hazard classes I – V. In the event of an emergency at the landfill, toxic wastewater can enter the Izhora River, and then into the Neva River, 7 km above the water intakes of St. Petersburg. Using the methods of mathematical modeling, the calculation of the spread of toxic substances in the hydrographic network of the catchment area, and then in the channel of the Neva River was carried out under various scenarios of the development of an emergency at the landfill. A full-scale experiment was carried out to confirm the adequacy of the model of impurity spreading in the channel of the Neva. An assessment of the features of the transport of suspended particles and dissolved impurities in the direction of the water intakes of St. Petersburg is given.

Mechanism to determine quantitatively characterize the level of concentration of pollutants emissions road transport

The basic mechanisms of pollution of the surface atmosphere and upper soil layer emission car transport roadside strip. Road transport, together with heavy industry, is one of the main air pollutants. Exhaust gases, crankcase gases, smoke, soot lead to complex chemical reactions in the surface layer of the atmosphere. Presented a number of methods to assess the level of contamination, analyses their strengths and weaknesses. Considered methodology issuance previous forecast spread of contamination including disturbing factors and their impact on the concentration of contaminants, as well as mathematical tools to determine the quantitative characteristics of concentration levels pollutants substances. The developed methodology is one of the ways to issue a preliminary forecast of the spread of pollution, taking into account disturbing factors in the presence of a priori data. This methodology takes into account a set of factors influencing the level of pollution concentration and the empirically obtained functional dependences of the influence of each of the disturbing components on the level of pollution. The constructed model of interaction of the established factors in the form of the graph of interaction characterizes causal relations.

Transport enhancement of hydrophobic pollutants by the expression of zucchini major latex-like protein genes in tobacco plants

The environmental spread of hydrophobic pollutants has been receiving attention because of specific characteristics of these compounds that make them resistant to degradation, thus causing various toxic effects on humans as a result of their bioaccumulation. Here, we report the role of zucchini major-latex like proteins (MLPs) on the accumulation of hydrophobic pollutants, as consumption of contaminated crops is one of the main routes for accumulation. Transgenic tobacco plants expressing an aryl hydrocarbon receptor (AhR) gene with a β-glucuronidase (GUS) inducible expression system were transformed with one of the three zucchini MLP genes (PG1, GR1, and GR3). MLP transgenic plants showed a significant increase in the fold induction of GUS activity compared to the parental AhR tobacco plants when one of the most toxic polychlorinated biphenyl (PCB) congeners, 3,3′,4,4′,5-pentachlorobiphenyl (CB126), was applied. GUS activity was detected in both aerial parts and roots after treatment with the strong carcinogen 3-methylcholanthrene. Phenotypic changes in the MLP tobacco during incubation with CB126 were also observed. The MLP transgenic plant PG1 responded to treatment with 0.32 nM CB126, whereas vector control plants significantly induced GUS activity at 200 nM CB126. Moreover, GUS activities in the MLP plants treated with other PCB congeners were significantly higher than those in the plants given the mock treatment. As GUS activities in the aerial parts of the plants were significantly correlated with the accumulation level of PCBs, these results strongly suggest that zucchini MLPs are related to the translocation of hydrophobic pollutants from the roots to the aerial parts through their binding affinity.